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INVENTORY MANAGEMENT AND SUPPLY CHAIN
PERFORMANCE OF NON-GOVERNMENTAL
ORGANIZATIONS IN THE AGRICULTURAL SECTOR,
KENYA
BY
ANTHONY GAKINYA MWANGI
A RESEARCH PROJECT SUBMITTED IN PARTIAL
FULFILLMENT OF THE REQUIREMENT FOR THE
AWARD OF THE DEGREE OF MASTERS OF BUSINESS
ADMINISTRATION, SCHOOL OF BUSINESS,
UNIVERSITY OF NAIROBI
OCT 2013
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DECLARATION
This research project is my original work and has not been submitted for the award of
degree in any other university.
Signed_________________________ Date_________________________________
Anthony Gakinya
D61/63039/2011
This research project has been submitted for examination with my approval as the
University Supervisor.
Signed_________________________ Date_________________________________
Mr. Michael Chirchir
Lecturer,
Department of Management Science
School of Business
University of Nairobi
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ACKNOWLEDGEMENT
My heart felt gratitude goes to my supervisor Mr. Michael Chirchir for his overwhelming
support, guidance, counsel, selfless dedication, patience, understanding, encouragement
and above all his availability for consultation. This project was made possible through his
direction and consultation. I acknowledge contributions from the University of Nairobi
fraternity, my classmates and the department of Management Science staff. Dr. J. Njihia
the Chairperson of Department of Management Science and the Moderators for the
success of this project.
I sincerely want to thank my gorgeous wife Lilian M. Gakinya, my parents and the entire
family for their moral support and encouragement. It’s not been easy and hard work was
required with long hours spending so much time away from my family in the library but
without them, I would not have made it this far.
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DEDICATION
This research project is dedicated to the Almighty God for giving me the grace and
strength to see that I have completed this research project successfully. I also dedicate it
to my ever caring wife Lilian M. Gakinya who has encouraged me through this academic
journey and to my dear parents, Mr. William M. Gakinya and Mrs. Mary N. Gakinya for
always pushing me to attain high academic goals. I dedicate it to my brother Mr. David
Karienye and my sister Ms. Jacqueline Muthoni. I am deeply honored because of the
overwhelming support that I have received throughout my project journey.
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ABSTRACT
Inventory management techniques are tools used by organizations to achieve supply
chain performance. Thus, this study sought to establish the relationship between
inventory management techniques and supply chain performance. The study was guided
by three objectives: to determine the extent of inventory management techniques
application in non-governmental organizations in the agricultural sector in Kenya, to
determine the impact of inventory management techniques on the supply chain
performance of non-governmental organizations in the agricultural sector in Kenya and to
establish the challenges of inventory management implementation techniques in non-
governmental organizations in the agricultural sector in Kenya. The research
methodology adopted was descriptive research design of cross sectional type for all NGO
studied and data collected using structured questionnaire were administered by drop and
pick while others that were unreachable were via email. Objective one was analyzed
using descriptive statistics of mean and standard deviation, objective two was analyzed
using regression analysis to identify the relationship between inventory management
techniques and supply chain performance and objective three was analyzed using mean
score and ANOVA. The results were presented in tables and pie chart. The study
recognized that the NGOs studied were eager to embrace inventory management
techniques since that had operated for more than ten years. It was evident that there was
significant relationship between inventory management techniques and supply chain
performance represented by R2
value of 0.732 which translates to 73.2% variance
explained by the independent variables of EOQ, JIT, marginal analysis, order batching,
vendor managed inventory, simulation and ABC analysis. Further research study can be
conducted in other NGOs in Kenya to establish if inventory management techniques have
an impact on supply chain performance of NGOs in Kenya. It has also been
recommended that NGOs in the agricultural sector should embrace inventory
management techniques so that they can reap from the immense benefits accrued from
inventory management implementation. Also, it was evident that close partnership with
customers or partners, prequalification of suppliers, holding safety stock, lack of
inventory management techniques, e-procurement tools, JIT, stringent grant agreements
and knowledge in inventory management techniques should be encouraged to attain high
supply chain performances.
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Table of Contents
DECLARATION ............................................................................................................................. ii
ACKNOWLEDGEMENT .............................................................................................................. iii
DEDICATION ................................................................................................................................ iv
ABSTRACT ..................................................................................................................................... v
ABBREVIATIONS ........................................................................................................................ ix
CHAPTER ONE: INTRODUCTION .............................................................................................. 1
1.1 Background ............................................................................................................................ 1
1.1.1 Inventory Management .................................................................................................. 2
1.1.2 Organizational Supply Chain Performance ..................................................................... 5
1.1.3 Non-Governmental Organizations in the Agricultural Sector in Kenya ......................... 6
1.2 Statement of the Problem ....................................................................................................... 8
1.3 Objectives of the Study ........................................................................................................ 12
1.4 Importance of the Study ...................................................................................................... 13
CHAPTER TWO: LITERATURE REVIEW ................................................................................ 14
2.1 Introduction .......................................................................................................................... 14
2.2 Inventory Management ........................................................................................................ 14
2.3 Inventory Management Techniques .................................................................................... 16
2.3.1 Re-Order Level .............................................................................................................. 17
2.3.2 Economic Order Quantity ............................................................................................. 17
2.3.3 Just-In-Time ................................................................................................................... 19
2.3.4 Marginal Analysis .......................................................................................................... 19
2.3.5 Vendor Managed Inventory .......................................................................................... 20
2.3.6 Activity Based Costing Analysis ..................................................................................... 20
2.4 Organizational Supply Chain Performance .......................................................................... 21
2.4.1 The Balanced Scorecard ................................................................................................ 23
2.4 Inventory Management Challenges ..................................................................................... 23
2.5 Conceptual Framework ........................................................................................................ 25
2.5.1 Theoretical Proposition ................................................................................................. 25
CHAPTER THREE: RESEARCH METHODOLOGY ................................................................ 27
3.1 Introduction .......................................................................................................................... 27
3.2 Research Design................................................................................................................... 27
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3.3 Population and Sampling Design ......................................................................................... 27
3.4 Data Collection .................................................................................................................... 28
3.4 Data Analysis ....................................................................................................................... 28
CHAPTER FOUR: DATA ANALYSIS AND PRESENTATION OF FINDINGS ...................... 30
4.1 Introduction ......................................................................................................................... 30
4.2 Demographic Characteristics ............................................................................................... 30
4.2.1 Response Rate ............................................................................................................... 30
4.3 Extent of Inventory Management Technique Application ................................................... 33
4.4 Descriptive for extent of inventory management techniques application .......................... 34
4.4.1 Gender and extent of Inventory Management Techniques application ...................... 34
4.5 Impact of inventory management techniques on supply chain performance .................... 35
4.5.1 T Test ............................................................................................................................. 36
4.5.2 R2 Determination Coefficient ........................................................................................ 38
4.5.3 F Test ............................................................................................................................. 38
4.6 Challenges of Implementing Supply Chain Techniques ....................................................... 39
CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMENDATIONS ...................... 41
5.1 Introduction .......................................................................................................................... 41
5.2 Summary of the Findings and Discussion............................................................................ 41
5.3 Conclusion and Recommendations ...................................................................................... 42
5.4 Limitations of the Study and Suggestions for Further research ........................................... 43
References ...................................................................................................................................... 44
Appendices ..................................................................................................................................... 51
Appendix 1: Questionnaire ............................................................................................................ 51
Appendix II: Agricultural Non-governmental Organizations in Kenya ........................................ 55
Appendix III: Letter of Introduction for Data Collection .............................................................. 59
Table of Tables
Table 2.5.1: Theoretical Proposition-------------------------------------------------------------25
Table 4.2.1: Response Rate------------------------------------------------------------------------30
Table 4.2.2: NGO Duration of operation--------------------------------------------------------31
Table 4.2.3: Respondents Positions--------------------------------------------------------------31
Table 4.2.4: Years Worked------------------------------------------------------------------------32
Table 4.2.5: Education Level----------------------------------------------------------------------33
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Table 4.3: Inventory Management techniques--------------------------------------------------33
Table 4.5.1: Coefficients---------------------------------------------------------------------------37
Table 4.5.2: Regression Model Summary-------------------------------------------------------38
Table 4.5.3: Analysis of Variance----------------------------------------------------------------39
Table 4.6: Mean and Analysis of Variance------------------------------------------------------40
Table of Figure
Figure 4.2.1: Respondents Gender---------------------------------------------------------------32
Figure 4.4.1: Inventory Management Techniques and Gender------------------------------35
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ABBREVIATIONS
ABC – Activity Based Costing
AKDP - Aga Khan Development Programme
ANOVA – Analysis of Variance
CIMMYT – International Maize and Wheat Improvement Centre
DFID - Department for International Development
EOQ – Economic Order Quantity
EU – European Union
GoK – Government of Kenya
IAPWG – Interagency Procurement Working Group
ICARDA – International Centre for Agricultural Research in the Dry Areas
ICRAF – World Agroforestry Centre
ICRISAT – International Crops Research Institute for the Semi-Arid Region
IFAD - International Fund for Agricultural Development
JIT – Just-In-Time
ILRI – International Livestock Research Institute
IWMI – International Water Management Institute
KARI – Kenya Agricultural Research Institute
NGO – Non-Governmental Organization
PEN – Poverty Eradication Network
ROL – Re-order Level
UNEP – United Nations Environmental Programme
SCM – Supply Chain Management
SKU – Stock Keeping Unit
TQC – Total Quality Control
VMI – Vendor Management Inventory
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CHAPTER ONE: INTRODUCTION
1.1 Background
Inventory is a critical asset in any organization though according to Barnes (2008)
inventory is looked at as a liability under the just-in-time control system but he agrees
with the way accountants treat it as an asset to the organization. In the statement of
financial position, inventory appears under the current assets of the organization
regardless whether it’s profit or not for profit organization. Inventory plays a major role
and its management goes a long way in helping a firm grow as it relates to its external
and internal customers (Gibson, 2013).
Inventory management is important because firms will ensure assets and stock are well
managed and demand forecasting is greatly enhanced to avoid unplanned procurement.
Inventory can double up as stock and assets. Therefore, when an organization employs
demand forecasting, it will minimize operational costs and improve customer satisfaction
(Hines and Bruce 2007). This will enable the organization plan for the future as it applies
various variables that the organization can use for its goal achievement namely: demand
and supply, cost and personnel requirements. Non-Governmental organizations (NGOs)
inventory fall into the two categories of stock and asset (Blanchard, 2010). Stock
inventory in the NGOs in the agricultural sector are field supplies namely buff manila
tags, pollination bags and fertilizers and inventories that fall under the asset category are
motor vehicles, tractors and office furniture. These inventories require proper
management to avoid misuse which will affect the budget by increasing costs.
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1.1.1 Inventory Management
Organization’s inventory is an important component and its management is vital to the
success and cost reduction of the firm’s expenditure. Wild, (2002) recommends, proper
warehousing of inventory so that when goods are ordered, they are held at the warehouse
for the least time possible minimizing holding cost of inventory. Consequently, other
operational costs may increase inventory management costs like through the balance of
ordering costs, holding costs, safety stock and stock outs (Palevich, 2012) and (Wisner,
Tan and Leong 2011). Once an organization realizes this, it can develop online inventory
management tool to monitor its inventory information by breaking it down into groups by
correlating the categories with its customers.
Beamon and Kotleba (2006) explain that Re-order level (ROL) is critical for
humanitarian organizations to achieve optimal efficiency and be effective. They need to
have two reorder levels one that is normal whereas a second one that is for emergency
cases in case of disaster. This improves performance and customer satisfaction.
Bachetti, Plebani, Saccani and Syntetos (2010) argue that inventory management need to
be organized in a logical way to facilitate the organization knowledge of when to order
and quantity to order. Economic order quantity enables organizations plan their inventory
replenishment on a timely basis such as monthly, quarterly, half yearly or yearly basis.
As organizations try to improve on the inventory management, Economic Order Quantity
(EOQ) and Re-order Point (ROP) are important tools organizations can use to ensure that
inventory supply does not hit a stock out as explained by Gonzalez and Gonzalez (2010).
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Just-in-time (JIT) contributes greatly to an organization’s positive performance and
customer satisfaction. A study undertaken between 1981 and 2000 in the US to analyze
inventory management and was found out that organizations that kept too much inventory
in their warehouse operated an inefficient supply chain, while those that kept minimal
inventory in their warehouse were very efficient (Lai and Cheng 2009). It was found out
that keeping moderate inventory is good and it enables an organization operate minimal
expenses of holding and setup costs, eliminate unwanted lead time and produce goods as
per customers order. This enables an organization achieve total quality control (TQC) as
efficient and effective supply chain management are implemented in a firm’s value chain
(Kumar and Suresh 2009) and (Datta, 2007).
Marginal analysis is important for perishable good and it is highly desirable for NGOs in
the agricultural sector. This is because it helps procurement officer know when to make
the next order and recommend the optimal stock level (IAPWG, 2006).
Simulation is also an important aspect that NGOs can adopt in their operations. This
enables the organizations map out their inventory management before the real situation
happens (Denise, Duncan, Gribko, Kolachina and Lee 2009). Batching of inventory helps
NGOs save on their transport cost which will eventually save on their total supply chain
total cost (Prasad and Tata 2010).
Management of inventory determines the way an organization will thrust itself to high
performance efficiency. Some organizations have resulted to vendor managed inventory
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(VMI) systems which aid the supplier to monitor customer’s inventory usage. Through
this VMI system, customers will avoid stock outs because the suppliers will have already
replenished their inventory. The key aspect here is communication which should be
planned well from the beginning of business relations between the supplier and the
customer. Moreover, we now have Joint Managed Inventory (JMI) which is an advance
level of vendor managed inventory (VMI). It seeks to integrate the supplier more firmly
into the customer’s organization by using the point of sale (POS) which allows the
supplier to see the real time data of its customer’s inventory (Frahm, 2003).
Inventory management techniques and organizational performance need to be scrutinized
so that the organization does not utilize a huge chunk of its budget on holding inventory.
Hence, the total cost model needs to be balanced by ensuring purchase costs, ordering
costs and holding costs are minimal so that the firm can reap good profits and maintains
its budgetary allocation for non-governmental organizations (Kavulya, 2004).
Value chain management is important because it helps proper agricultural inputs
procurement suiting the economic order quantity and marginal analysis (Amarnath,
2007). This can only be possible through maintaining good management practices
through zero holding costs, minimum purchasing costs and minimum ordering costs.
Managing supply chain cost is the most important aspect of an organization; to achieve
this, an organization has to employ qualified professional who understand inventory
management techniques. These techniques are six sigma, total quality management, just-
in-time, Lean and theory of constraints as advanced by (Mackay, 2013).
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1.1.2 Organizational Supply Chain Performance
Inventory management techniques and organizational supply chain performance need to
be looked into keenly to avoid organizations use of huge chunk of its budget on holding
inventory. It should ensure that customers are satisfied with its services by providing
feedback and ensuring the concept of time, place and costs are maintained at optimal
levels. Hence, the total cost model needs to be balanced by ensuring purchase costs,
ordering costs and holding costs are minimal so that the firm can reap good profits or it
maintains its budgetary allocation for non-governmental organizations (Kavulya, 2004).
Managing supply chain cost is the far most important aspect of an organization and to
achieve this, an organization has to bring on board qualified professional who understand
the technical background of inventory management. Inventory management technics are
six sigma, total quality management, just-in-time, Lean and theory of constraints as
advanced by Mackay (2013). Supply chain management need to be highly enhanced in
the modern world because firms are engaging each other with high level of competition.
Efficiency is required and to achieve this, highly qualified staff should be hired and
utilize the latest technology such as the use of Enterprise Resource Planning (ERP) and
Material Requirement Planning (MRP). By so doing, organization performance will be
achieved when the staff fully understands how to apply inventory management
techniques which will necessitate demand planning, forecasting and location (Silver,
2007). Silver (2007) agrees that organizations need to align their supply chain in a
competitive manner so that inventory management and supply chain performance can be
achieved with efficiency and effectiveness.
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Consequently, organizational supply chain performance is an amalgamation of three
important measurements specifically efficiency, effectiveness and adaptability
(Wakhungu 2010). Thus, NGO supply chain performance can be measured by way of
poverty reduction and increased productivity in the farm through growing better varieties
of crop which have high yield and rewarding returns. A case in study is that of Priscilla
Mutie of Eastern who retired as a teacher to concentrate on farming through ICRISAT an
NGO in Kenya, initiative to offer improved variety of pigeon pea seeds that brought in
increased income to Priscilla Mutie when she was a teacher. She engaged in daily
farming where she increased her income even further (Sridharan, 2010) and accessing the
impacts achieved. By monitoring and managing budgetary allocation as well as staff
motivation through yearly performance appraisals which increases staff morale resulting
in organizational supply chain performance. The government on the other hand works
hand in hand with the NGOs to ensure smooth flow of policy implementation is achieved
and that the Kenyan citizens get value from the supply chain. Kenya Agricultural
Research Institute (KARI) plays a key role by ensuring farmers get good seeds to
maximize on their yields which in turn put more food and money on their table
(Sridharan, 2011).
1.1.3 Non-Governmental Organizations in the Agricultural Sector in Kenya
Non-governmental organizations (NGOs) are important and they play a critical role in
today’s world due to their ability of achieving impacts faster than the governments of the
day. The development of NGOs have aided and relieved the government of its pressure to
deliver to the citizens of their countries (Ombati, 2010). Thus, due to the importance they
provide nations, their inputs and establishment is necessary because they help reduce the
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gap for unemployed. In Kenya, NGOs have enhanced a well-oiled job market though
there is still a lot that needs to be done for the employment gap to be bridged.
Kenya’s economy is highly reliant on agriculture and needless to say it is its biggest
earner. Therefore, the government needs to do a lot in order to be self-reliant on
agriculture and for export purposes. KARI, a government body management by the
Ministry of Agriculture has partnered with NGOs in the agricultural sector such as
ICRAF, ICRISAT, CIMMYT and ILRI to be able to be self-reliant on food reserves. This
has been made possible by ensuring improved varieties resistant to diseases are promoted
and farmers in various sector within agriculture adopt the new varieties. Thus, KARI’s
work is to adopt and enhance the policies for the government to adapt and pass them as
law for the benefit of the Kenyans (Achayo, 2012).
Kenya has benefited a lot from development partners who have aided a smooth working
relationship with the Kenyan government. Kenya being an agricultural state, there are
quite a number of non-governmental organizations that have partnered to work with the
government in order to alleviate poverty by improving people’s livelihood. This is due to
their ability to focus keenly on poverty alleviation by drafting development projects that
are tailor made for specific goals and objective (Edwards and Hulme, 1996). Kasimbu
(2007) and Falex (2011) states that NGOs are those firms established outside the
government operation to aid smooth flow of operation for the government in the interest
of the public. Some notable NGOs are International Crops Research Institute in the Semi-
Arid Tropics (ICRISAT) and World Agroforestry Centre (ICRAF) (AKDP, 2007).
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Ledgerwood (2000) concurred with the fact that NGOs do play a critical role in advising
the government and in our case here in Kenya, the main objective is to increase
productivity in the country. As productivity increases, inventory management needs to be
handled with utmost professionalism since NGOs receive funding from donor institutions
such as Rockefeller Foundation, World Bank, International Fund for Agricultural
Development (IFAD) and Department for International Development (DFID among
others. Thus, there is need to have accountability by following laid down procurement
procedures in the grant agreements with the various donor funding institutions. Inventory
management technics within the NGO sector are highly desirable and this ensures that
inventory is well managed using good supply chain technics which include demand
forecasting such as qualitative methods and quantitative methods. Also, inventory to
order, warehousing, location decision and simulation will come in handy when doing
inventory management for NGO sector (Leslie, 2002).
1.2 Statement of the Problem
A number of organizations collapse due to poor planning and corruption which drives
firms to closes down their operations. This can be stopped if proper inventory
management is practiced and the technique thoroughly utilized for the benefit of the firm.
Gonzalez and Gonzalez (2010) noted that management and staff have minimal
knowledge on how to apply the economic order quantity which negates the success of an
organization. NGOs in the agricultural sector ought to train their staff who engage in
procurement since systems cannot work by themselves. Once the organization has
qualified personnel who understand how to apply prudent inventory management
techniques, the organization’s supply chain performance is achieved. The study
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conducted by Gonzalez and Gonzalez (2010) shows that forecasting techniques
utilization for demand planning helps organizations plan for their inventory adequately
avoiding regular stock outs. The shortcomings identified showed that lack of use of EOQ
and ROP by firms led to utilization of more funds but their utilization led to customer
satisfaction and cash savings for the organization. The study did not address supply chain
performance as a result of utilizing efficient inventory management techniques.
Inventory management according to Onyango (2011) is a fundamental pillar in an
organization and it should be taken seriously. Firms ought to be adequately prepared with
the changing environment and as NGOs in Kenya operate in a multiple global
environment, sourcing and delivery of goods and services needs to be well managed.
Some of the goods and services required may not be readily available within the country
thus NGOs have to apply global sourcing. Due to this, a robust supply chain is required to
be in place to ensure timely delivery and quality standards are observed. The study found
that supply chain management led to improved organizational supply chain performance
through quality products and services, minimal inventory levels, improved partnerships
and communication and demand forecasting. Integrated supply chain practices in the
policies were important too as well as supplier’s alliance. Notably, middle level
management empowerment was also a key factor in improved supply chain performance.
The shortcoming found was the model used gave 50% variance in performance implying
that some factors were left out during the study that could have given an improved
analytical model of the study. The study did not address, extent of inventory management
techniques application that improve firm’s supply chain performance.
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A study conducted by Maghanga (2011) established that for the tea processing firms to
survive they need to embrace the changing competitive trends in the market. Best
business practices need to be adopted for the business to remain relevant and competitive.
However, the study did not cover the need to assess the management of the supply chain
on the larger agricultural sector by looking at impacts of firms supply chain performance.
Falex, (2011) observed that NGOs are constantly facing immense challenges like
increased output mandates which in our case is improved agricultural outputs and poverty
eradication. This is achieved through improved varieties released after thorough research
has been done. NGOs are pulling out their operations from Kenya leaving a gap that the
government is unable to fill and KARI has an uphill task to achieve food sustainability
where an NGO operated effectively. Falex, (2011), Spar and Dail (2002) found out that
assessing NGO’s supply chain performance was difficult and some NGO’s had pulled out
their operations and no investigations had been carried out to ascertain why this was
happening. Thus, sustainable programs backed by strong relationships were critical as
synergies derived from local NGO offices that support headquarter offices located
elsewhere. This helped project implementation easier and impacts to be felt more (Falex,
2011). Consequently, NGO needs to manage their assets more keenly and ensure mission
achievement is met. However, the study did not look into how the synergy that local
NGO office offers their headquarters located in other countries and how this synergy and
sustainability improves supply chain performance when inventory is managed well.
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Transparency in inventory management techniques is absolutely important because it
eliminate corruption, biased procurement process, procuring substandard good for the
organization that proof to be extremely costly (Githui, 2012). The government found
itself practicing unethical supply chain management practices as well as lacking in
transparency and fairness. Thus, inventory management techniques in Kenya needs
ethical practices that promote good corporate governance among procurement managers.
Also, virtue ethics promotes integrity, utilitarian principle appreciates happiness
promotion and reverse of wrong doing, Kantian theory on the other hand states that an
individual doesn’t benefit personally but promotes the goodwill of the organization and
the Kantian theory promoted moral agents for supply chain management. The gap Githui,
(2012) identified was analysis of government procurement officers on integrity and
therefore the study did not cover the knowledge and application of inventory
management technique by procurement officers to gauge supply chain performance.
Stock shortages are a headache for most organizations as expressed by Githendu,
Nyamwange and Akelo (2008) and it leads to customer’s dissatisfaction which eventually
leads to low performance of a firm. Organizations ought to ensure that their inventory is
monitored from time to time to avoid stock outs. Due to the manual system of checking
and validating, the stochastic nature of demand and lead time is not achieved. Also, lack
of automated systems, stock outs are experienced often and replenishment is done
hurriedly leading to costly inventory management and likewise low performance
standards. The study conducted by Githendu, Nyamwange and Akelo (2008) indicated
that firms that have centralized stock holding have an advantage because they are able to
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control the stocks and avoid stock duplication in their subsidiaries. Since high value
stocks are held, there are instances where the organization will have too much stock in
their warehouse implying a huge part of their cash is tied down with stocks. Also, a
proper inventory management system is lacking causing frequent stock outs for the
organization. The study did not address inventory management techniques that enhance
service levels ensuring stocks are distributed on time and at the right place meeting
customer’s demands.
To the best knowledge of the researcher, no study has been done concerning inventory
management and organizational supply chain performance of NGOs in the agricultural
sector in Kenya. Thus, this study aims to answer the following research questions: What
is the extent of application of inventory management techniques in the non-governmental
organizations in the agricultural sector? What is the impact of inventory management
techniques on the supply chain performance of non-governmental organizations in the
agricultural sector in Kenya? and, What are the challenges in the implementation of
inventory management techniques in the non-governmental organizations in the
agricultural sector?
1.3 Objectives of the Study
i. To determine the extent of inventory management techniques application in non-
governmental organizations in the agricultural sector in Kenya.
ii. To determine the impact of inventory management techniques on the supply chain
performance of non-governmental organizations in the agricultural sector in
Kenya.
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iii. To establish the challenges of inventory management implementation techniques
in non-governmental organizations in the agricultural sector in Kenya.
1.4 Importance of the Study
The aim of the study is to provide adequate information NGOs in Kenya can use to
improve on their performance by managing inventory adequately. Thus supply chain
professionals and finance managers will find this research useful for knowledge and
operational implementation.
The government will benefit indirectly in that as these NGOs streamline their inventory
management, the Kenyan public will benefit tenfold through agricultural technologies
that the NGOs will use as they rationalize their supply chain.
Donor funding institutions will also benefit from this study and they will know how to
streamline their grant agreements with future project run by NGOs so that impacts are felt
and funds donated don’t go to waste.
Academicians and scholars will also find this research valuable to their study and
advancement of knowledge. They will be able to improve on the studies done under
inventory management.
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CHAPTER TWO: LITERATURE REVIEW
2.1 Introduction
This chapter focuses on the review of the literature to the purpose of the study ensuring
relevance to the research problem. The review was undertaken to bring out the gaps and
enhance knowledge of better and efficient ways of managing inventory and improving
organizational performance. Also, to ascertain and educate managers and professionals
on inventory management techniques and their use and application in their non-
governmental organizations in the agricultural sector.
2.2 Inventory Management
Inventory management is a branch of management that deals with management of fixed
and current assets. Also, it entails the management of daily operational supplies and in
our case, agricultural inputs and outputs. Inventory is also a critical asset in any
organization though according to Barnes (2008) inventory is looked at as a liability under
the just-in-time (JIT) control system. He agrees with the way accountants treat inventory
as an asset to the organization. In the statement of financial position, inventory appears
under the current assets of the organization regardless whether it’s for profit or not for
profit organization. Inventory plays a major role and its management goes a long way in
helping a firm to grow as it relates to its external customers as well as the internal
customers (Gibson, 2013). Therefore, inventory is essential in the operation of NGOs in
the agricultural sector since they may hold inventory as finished goods, work in progress
or raw materials for further processing (Fellows and Rottger (2005) and Shapiro (2009)).
Shapiro, (2009) also advises that inventory plays a vital role when it comes to demand
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planning and as a result, the organization needs to be versatile in its management of its
inventory when it comes to periodic or seasonal inventories.
Managers cannot avoid inventory management because it forms the basis of their overall
performance through elimination of uncertainties in their management. For the boards
and management of NGOs to ascertain that they are performing above standards,
inventory management metric measures should be above board so that they may maintain
the management’s confidence (Shapiro, 2009). Hence, Just-in-time concept has been
found to have some unwarranted hidden cost that increase the cost of doing business in
some cases such as small suppliers to large companies in the mechanized and aerospace
industries. Inventory management on the other hand faces numerous barriers when it
comes to holding costs, shortage costs and demand distributions for products under the
detailed stock keeping unit (SKU) level (Porter and Montgomery, 1991).
However, the management of inventory is important because the firm will be keen to
ensure that its assets and stock are well managed and demand forecasting is enhanced to
avoid unplanned procurement. Inventory can double up as stock and assets respectively.
Therefore, when an organization enhances demand forecasting, it enables the
minimization of operational costs as well as customer satisfaction (Hines and Bruce,
2007). When this is done, it enables an organization plan for the future hence applying
various variables that an organization can use for its goal achievement namely: demand
and supply, cost and personnel requirements. Inventory falls into two categories of stock
and asset in the NGO sector (Blanchard, 2010). Examples of stock inventory in the NGOs
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in the agricultural sector are: field supplies such as buff manila tags, pollination bags,
fertilizers such as DAP, CAN and Urea among others. Those inventories that fall under
the asset category are: motor vehicles, tractors, office furniture such as office desks,
office chairs, computers, printers and scanners. These inventories do require proper
management to avoid misuse which will affect the budget by increasing costs.
Incorporation of inventory management and supply chain decision helps organizations
rationalize their operations through ensuring the total supply chain cost is well managed.
This may be an uphill task since integration of inventory management decisions and
supply chain optimization model involves parameters and associations such as market
demand variance, delivery time and stock outages impacts which are not easily signified
in optimization model (Heckmann, Shorten and Engel, 2003) and (Shapiro, 2009).
2.3 Inventory Management Techniques
Inventory management techniques are extremely important for business operations
because their success and cost reduction of the firm’s expenditure necessitate improved
supply chain performance and knowledge to the employees (Lambert, 2008). These
techniques are critical and knowledge in them is highly desirable thus, managers and
procurement staff need to be able to apply the techniques for the benefit of the
organization (Fellows and Rottger, 2005).
Wild (2002) recommends, proper warehousing of inventory so that when goods items are
ordered, they are kept at the warehouse for the least time possible minimizing holding
cost of inventory. Consequently, other operational costs may increase inventory
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management costs. The way an organization is able to maintain its costs at low levels the
better it is for the year end profits (Palevich, (2012), Wisner, Tan and Leong (2011)).
Organizations buy and sell their inventory; there always arises balance at the end of the
year which ought to be carried over to the next year. Once an organization realizes this, it
can develop online inventory management tool to monitor its inventory information by
breaking it down into groups by correlating the categories with its customers. Since
organizations operates differently in different fields, the inventory can be classifies by
either seasons or economic year end of your most significant customers hence, demand
forecasting need to be employed to have an efficient supply chain (Poiger, 2010).
2.3.1 Re-Order Level
As organizations strive to achieve efficiency, they should be able to understand their Re-
Order Levels (ROL) which enables them know when to order and when not to order. This
can be achieved through the use of quantitative methods which necessitate proper
inventory management (Apte, 2010). Re-Order level is critical for NGOs to achieve
optimal efficiency and be effective leading to high supply chain performance and
customer satisfaction, then they need to have two reorder levels one that is normal
whereas the other is an emergency one in case of disaster (Beamon and Kotleba, 2006).
2.3.2 Economic Order Quantity
Bachetti, Plebani, Saccani and Syntetos (2010) argues that inventory management need to
be organized in a logical way so that the organization can be able to know when to order
and how much to order. This can only be achieved through the Economic Order Quantity
(EOQ) computation. Economic order quantity enables organizations to plan their
inventory replenishment on a timely basis such as monthly, quarterly, half yearly or
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18
yearly basis. By so doing, it enables firms to have minimal storage costs or zero within
their warehouses since inventory is coming in and going out immediately. Thus, this
tends towards the just in time concept of supply chain management adopted by Toyota
motor Corporation in Japan which helps in having zero holding costs, (Schonberger,
2008). Thus, as organizations try to improve on the inventory management, the Economic
Order Quantity (EOQ) and Re-order Point (ROP) are important tools that organizations
can use to ensure that inventory supply does not hit a stock out as explained by Gonzalez
and Gonzalez (2010). Over time, organizations have been maintaining their inventory in a
haphazard manner which has necessitated a change in the way firms conduct their
business. Stock outs have been experienced adversely leading to customer dissatisfaction
hence; firms are changing their approach to be able to remain relevant by employing
Economic Order Quantity (EOQ) and Re-order Point (ROP) for customer satisfaction.
Moreover, Kenya as a country has come a long way and as discussed through a paper by
GoK (2011) report, the government is doing immense work to ensure that poverty is
reduced. This it does through partnership with private sector as well as development
partners. Hence, a lot has been done to ensure that the value chain is managed
appropriately and through this, agricultural inputs are procured and managed to suit the
economic order quantity as well as marginal analysis (Amarnath, 2007). USAID Kenya,
(2012) in its compendium report agree that by partnering with seed companies and
agricultural input companies, the non-governmental organizations in Kenya have a
chance of ensuring that its value chain is credible by maintaining its total cost model at
bare minimum. This can only be possible through maintaining good management
practices through zero holding costs, minimum purchasing costs and minimum ordering
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costs. Determining the economic order quantity will ensure that the supply chain of these
organizations are replenished on a timely basis and delivered to the final consumer.
2.3.3 Just-In-Time
Just-in-time (JIT) contributes greatly to the positive performance of an organization thus;
inventory management needs to be undertaken with utmost keenness taking into account
good procurement practices. A study was undertaken between 1981 and 2000 in the US
to analyze inventory management and was found out that organizations that kept too
much inventory in their warehouse operated an inefficient supply chain, while those that
kept very few inventory in their warehouse were very efficient (Lai and Cheng, 2009).
Thus, it was found out that keeping moderate inventory is good and it enables an
organization operate minimal expenses of holding costs as well as keep setup cost at bare
minimum, eliminate unwanted lead time and produce goods as per customers order.
Eventually, this enables an organization achieve total quality control (TQC) as efficient
and effective supply chain management are employed within a firm’s value chain (Datta,
2007).
2.3.4 Marginal Analysis
Marginal analysis is important for perishable good and it will be highly desirable for
NGOs in the agricultural sector because it helps procurement officer know when to make
the next order as well as recommend the optimal stock level. This is critical because
perishable good can cost an organization a lot of money, (IAPWG, 2006). Moreover,
simulation is also a technique that NGOs can use for their advantage so that they can be
able to map the actual orders and deliveries before it actually happens. Hence, inventory
batching will save total supply chain cost for the NGOs by reducing their transport cost.
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2.3.5 Vendor Managed Inventory
Management of inventory determines the way an organization will thrust itself to high
performance efficiency. Some organizations have resulted to vendor managed inventory
(VMI) systems which aid the supplier to monitor customer’s inventory usage. Through
this VMI system, customers will avoid stock outs because the suppliers will have already
replenished their inventory. The key aspect here is communication which should be
planned well from the beginning of business relations between the supplier and the
customer (Frahm, 2003). Vendor managed inventory saves an organization immense
finance and time since the supplier will be able to monitor its customer’s inventory levels
and make a point of replenishing them. As the customer and supplier interact, the
communication channel needs to be clear and fast so that they may avoid instances of
stock outs. Where the customer anticipates having an abnormal order levels, they should
notify the supplier so that they can adjust their production to cater for the demand.
Moreover, we now have Joint Managed Inventory (JMI) which is an advance level of
vendor managed inventory (VMI). It seeks to integrate the supplier more firmly into the
customer’s organization by using the point of sale (POS) which allows the supplier to see
the real time data of its customer’s inventory (Frahm, 2003).
2.3.6 Activity Based Costing Analysis
Fellows and Rottger (2005) agree that having inventory in your store has an added
advantage for the organization since customers will be satisfied instantly leading to
improved performance rating. With inventory in your warehouse, an organization has the
advantage of timely delivery and stock out are not experienced. Thus, NGOs need to
ensure that they have adequate stock for their operations and distribution. One way they
can achieve this is thorough the “Pareto Analysis” also known as Activity Based Costing
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(ABC) analysis. ABC analysis is where stocks are classified into three categories namely:
A – stock items that are of high value and material to the organization but low volume
such as land, building and motor vehicles; B – stock items which are of medium value
and medium volume; C – stock items baring minimal value but are of great volume such
as pollination bags which are packed in thousands, farm fertilizers, daily farm products,
medicine for live stocks and farm chemicals.
2.4 Organizational Supply Chain Performance
Organizations are constantly seeking to improve their supply chain performance in order
to stay afloat in business and stay clear from extensive competition from their
competitors. Non-governmental organization’s performance is quantified by way of
milestones achieved and impacts achieved (Sridharan, 2011). Porter (1980) explains that
organizations are judged on performance according to their achievements over the years.
If an organization has been performing through the years, then its performance is rated
favorably (Wakhungu, 2010).
As the business arena takes a paradigm shift, we are now seeing improvements in supply
chain performance where firms are focusing on the overall firm’s supply chain
performance other than individual company supply chain performance. Competition has
necessitated organizations to improve on their service delivery, customer satisfaction,
forecasting demand and ensuring that response time is efficient. The original company
boundaries have been broken and the level play ground is the same where functional
groups now play a central role in advancing supply chain performance (Hausman, 2013).
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Non-governmental organization’s performance measures are depicted by their outputs
and more so on achievement of their goal which is agriculture. This is enhanced by the
technologies they adopt to increase agricultural productivity and the research they
undertake to come up with better varieties. Kamau (2011) observes that organizational
performance can be viewed under four key areas which include: customer service,
corporate social responsibility, employee’s loyalty and financial performance. NGOs in
the agricultural sector cannot desist from these key areas because it will determine how
much they get from their donors.
NGOs performance is very important and they are looked at differently from those of the
private sector. Performance for NGOs is measured by the compliance of donor reports
presented to the donor following the laid down grant agreements (Ryfman, 2007).
Likewise, over expenditure on budget allocation should not be seen since it depicts lack
of leadership and planning. Therefore, NGOs should ensure their customers who are their
project partners and farmers are treated with utmost respect and work together to improve
the livelihood of the poor (Maalin, 2007).
NGOs on the other hand can adopt key performance indicators (KPI) to measure their
supply chain performance. Key performance indicators are a yardstick for tracking
progress and also it’s a tool to achieve a goal. KPIs encompass all areas of business
which are demand management, supply conversion and delivery (Water, 2003). Measures
of performance comprises ongoing monitoring and reporting of activities, particularly
progress towards pre-established goals along the supply chain. It involves comparing the
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expected versus the actual performance achievements along the supply chain and
introduction of correction measures to deal with the performance variances. (Lambert,
2008). The measure of performance depicts the way an organization can monitor its
operations and make plans for managing it inventory levels by ensuring that
replenishments are done in good time without any delay. These measures go a long way
in cutting operational and logistical costs for the organization thus saving time and
energy for the management (Stelth and Roy, 2009).
2.4.1 The Balanced Scorecard
The balanced scorecard has been used to assess the quality of inventory supply chain
performance measure and its improvement. However, the balance scorecard complements
financial measures of past performance with measures of drivers of future performance.
The objectives and measures for organizational supply chain performance come from
four perspectives; financial, customer, internal process and learning and growth (BPP,
2008). Consequently, NGOs Balance scorecard in relation to logistics and transport
management has been molded to enhance its transport and logistics requirements owing
to the fact that it has multi-discipline functionalities in its operations. The performance
management of NGOs has been enhanced and improved to foster smooth running of the
institutions across different continents by ensuring that clients who are the farmers are
treated well. This is done through distribution of improved products (Sutherland, David
and Alistair, 2002).
2.4 Inventory Management Challenges
Management usually encounters challenges that normal business go through while
managing inventory. Needless to say, most organizations are now outsourcing inventory
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management to third party level service (3PL) providers. As this trend gains prominence,
inventory management also has to be managed with utmost accuracy. Stock counts on a
daily basis, weekly, monthly, quarterly, half yearly and yearly basis are highly
encouraged because this stock is money for the organization (Management Study Guide,
2013). Therefore, inventory management systems need to be up to date and the
management ought to be aware of their current status at a click of the button. This is only
possible by having a seamless Enterprise Resource Planning (ERP) or Material Resource
Planning (MRP).
Sandeep K. et al (2007) states that inventory management can bring unwarranted losses if
the organization always has stock outs, lack of proper warehousing plans, delivering the
wrong goods to the customers as well as lack of proper documentation for goods
procured. The staff needs to understand and apply the inventory management techniques
to ensure that the organization gets value for its money. Vendor managed inventory can
help by letting the supplier managed its inventory and the management on its end should
ensure proper communication channels are utilized. Wal-Mart is a good example of an
organization using VMI and has its store spread across the globe (Aberdeen Group, 2004)
and (National Treasury, 2004).
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2.5 Conceptual Framework
Source: Author (2013)
2.5.1 Theoretical Proposition
It is expected that the application of Economic Order Quantity, Marginal Analysis, Just-
in-Time, Simulation, Order batching, Vendor Managed Inventory and ABC Analysis will
improve NGOs performance. As the NGOs staff understands the strengths of having
these techniques, then the unnecessary costs incurred will be avoided. Therefore, the
techniques will improve performance in the following ways:
Table 2.5.1: Theoretical Proposition
No Inventory Management
Techniques
How Performance Improvement will be
achieved
i Economic Order Quantity Ability to know how much and when to
replenish inventory
ii Marginal Analysis Reduce loss for inventory that is perishable
within a short period of time by ensuring they
are ordered at the right time.
iii Just-in-time Ordering inventory when they are required thus
reducing storage/holding costs
iv Simulation Capability of laying out inventory management
plans for the organization
v Order Batching Minimizing on unnecessary costs on transport
Independent Variable Dependent Variable
Supply Chain
Performance of
Non-governmental
organization
Inventory Management
Techniques
Inventory Management Techniques
Indicators
1. Economic Order Quantity
2. Marginal Analysis
3. Just-In-Time
4. Simulation
5. Order Batching
6. Vendor Managed Inventory
7. ABC Analysis
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vi Vendor Managed Inventory Improving on inventory management systems
by engaging outsourced suppliers to
management inventory monitoring and
replenishment.
vii ABC Analysis The organization is able to account for each
inventory according to its classification and this
can be achieved through the Pareto analysis.
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CHAPTER THREE: RESEARCH METHODOLOGY
3.1 Introduction
This chapter presents the research methodology that was used in conducting the study. It
explains the research design, target population, sampling design, data collection and data
analysis.
3.2 Research Design
This study used a descriptive research design of cross sectional type because it enabled
the researcher make a comparison from a broad category of NGOs. Comparative study
was done to bring out the status and preferences of these NGOs (Kothari, 2004). Hence,
measures of central tendencies were applied to bring out comparable results among
different organization (Cooper and Schindler, 2006). Descriptive research assists the
researcher to collect data from a population by way of observation, description,
recording, analyzing and reporting the conditions operating at that moment (Cooper and
Schindler, 2006). This design assists to describe features, behavior, attitudes and
principles of the study (Mugenda and Mugenda, 1999). Gitau (2011), Gwaro (2011),
Murage (2011) and Wandabwa (2010) successfully applied the design chosen in similar
studies.
3.3 Population and Sampling Design
The target population consisted of non-governmental organizations in the agricultural
sector in Kenya and they were 24 in number (appendix II). These NGOs are registered
under the Council of NGOs in Kenya and the Government of Kenya through the Ministry
of Agriculture and Ministry of Foreign Affairs. Since the population is relatively small, it
was proposed that a census be conducted.
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3.4 Data Collection
Data collection was conducted by way of primary data collection from one of the
following respondent; the Finance Manager, Procurement Manager, Field Manager or
Stores Manager. The target respondents were the most competent to answer questions on
inventory management. The data collection instrument used was a structured
questionnaire which was distributed by drop and pick method, where the firm was
accessible and by email for the others. This gave the researcher first hand primary data
which was reliable and accurate for analysis (Kothari, 2004). The questionnaire rating
scale adopted was the Likert format depicting responses on a scale of 1 to 5. There were
four sections namely: section I gathered the bio data and company profile, section II
found out the extent of inventory management techniques application in the non-
governmental organizations in the agricultural sector, section III found out the impact of
inventory management techniques on the performance of non-governmental
organizations in the agricultural sector in Kenya, Section IV established the challenges of
inventory management techniques implementation in non-governmental organizations in
the agricultural sector and Section V established the supply chain performance
importance for management and organizational growth for non-governmental
organizations in the agricultural sector in Kenya.
3.4 Data Analysis
Data analysis was done through descriptive statistics by applying measures of central
tendency for objective one; to determine the extent of inventory management techniques
application in the non-governmental organizations in the agricultural sector; regression
analysis was used for objective two; to determine the impact of inventory management
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techniques on the supply chain performance of non-governmental organizations in the
agricultural sector in Kenya with inventory management techniques as the independent
variables and supply chain performance as the dependent variable. Descriptive and
ANOVA was used to assess the variability of inventory management techniques for
objective three; to establish the challenges of inventory management techniques
implementation in the non-governmental organizations in the agricultural sector. Data
collected was analyzed using Statistical Packages for Social Sciences (SPSS) software.
The following regression model was used to show impact of inventory management
techniques on supply chain performance Y = a + b1X1 + b2X2 + b3X3 + b4X4 + b5X5 + b6X6
+ b7X7 + e Where Y = Supply chain performance measured by responses on effects of
inventory management techniques on supply chain performance; a = Y intercept that is
the value of Y when X is equal to zero; b1, b2, b3, b4, b5, b6 and b7 are regression weights
coefficients attached to the variables; X1 = Economic Order Quantity, X2 = Marginal
Analysis, X3 = Just-in-time, X4 = Simulation, X5 = Order batching, X6 = Vendor Managed
Inventory, X7 = ABC Analysis and e = Error Term.
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CHAPTER FOUR: DATA ANALYSIS AND PRESENTATION
OF FINDINGS
4.1 Introduction
This chapter presents the findings of the study. The chapter provides descriptive statistics
of the respondents before presenting the findings of inventory management and supply
chain performance of non-governmental organizations in the agricultural sector in Kenya
and the challenges.
4.2 Demographic Characteristics
The demographic study sought to ascertain information about the respondents’
background mainly position held, working period, education level, organization operation
period and the gender. This ensured that the respondents were well informed on the study
area and were able to respond appropriately to the questions fronted on inventory
management techniques.
4.2.1 Response Rate
The study targeted 24 NGO institutions with 24 questionnaires administered. However,
only 20 of them responded as indicated in the table 4.2.1 below depicting a response rate
of 83%. 17% of the respondent NGOs did not respond. Mugenda and Mugenda (1999)
indicate that a 50% response rate is adequate whereas 60% is good and 70% is excellent.
The response rate achieved by the researcher in the study was made possible by constant
followups through telephone calls, personal visits and email communication reminders.
Table 4.2.1: Response Rate
Frequency Percentage
Responded 20 83%
Did not respond 4 17%
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Total 24 100% Source: Author (2013)
The researcher sought to establish how long the respective non-governmental
organization had operated. The study revealed that 35% of NGOs had operated for 11 –
15 years and above 25 years. This shows that the NGOs have had a wide utilization of
inventory management techniques for more than 10 years.
Table 4.2.2: NGO Duration of operation
Frequency Percent
Below 5 years 1 5
Between 16-20 years 1 5
Between 21-25 years 2 10
Between 6-10 years 2 10
Above 25 years 7 35
Between 11-15 years 7 35
Total 20 100
Source: Author (2013)
The researcher sought to establish the position held by the respondents and the duration
they had worked in the positions they held. The study found out that 45% of the
respondents were procurement managers confirmed by table 4.2.3 below. This confirmed
that they were well conversant with the study subject of inventory management. It was
clear that 40% of the respondents had served for 2 – 10 years. Inventory management is
evolving and it explains why the respondents have engaged with inventory management
techniques for such a short time.
Table 4.2.3: Respondents Positions
Frequency Percent
Field Manager 3 15.0
Finance Manager 8 40.0
Procurement Manager 9 45.0
Total 20 100.0
Source: Author (2013)
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Table 4.2.4: Years Worked
Frequency Percent
Below 2 years 4 20.0
Between 2-5 years 8 40.0
Between 6-10 years 8 40.0
Total 20 100.0
Source: Author (2013)
Figure 4.2.1: Respondents Gender
Source: Author (2013)
The researcher sought to find out the gender distribution of the respondents and it was
found out that 55% of the respondents were female representing 11 in number while male
were 45% representing 9 in number as shown in table 4.2.5 below. This is a clear
indication that NGOs in the agricultural sector in Kenya promote equality in job
distribution and female gender is given priority.
It was evident from the study that most respondents had a university degree and this
represented 85% of the respondents as indicated in the table 4.2.6 below. This is a clear
55%
45%
Gender
Female (F=11) Male (F=9)
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indication that the respondents were well vast with the inventory management techniques
and their feedback was highly reliable and relevant.
Table 4.2.5: Education Level
Frequency Percent
College Diploma 1 5.0
Graduate Degree 2 10.0
University Degree 17 85.0
Total 20 100.0
Source: Author (2013)
4.3 Extent of Inventory Management Technique Application
The researcher sought to establish the extent to which non-governmental organizations
have applied inventory management technique. The responses were tabulated on a five
point Likert scale of 1 – 5 where 1 signified strongly agreed and 5 strongly disagree.
The study found out that non-governmental organizations strongly agreed that vendor
managed inventory, simulation, just-in-time, activity based costing and marginal analysis
were applied as indicated by the mean score 2.9, 2.5, 2.45, 2.2 and 2.1 respectively in
table 4.3 below. Their respective standard deviations were 1.021, 1.051, 1.099, 1.281 and
1.119. This implied that inventory management techniques are being applied in non-
governmental organizations to a large extent as efficiency is achieved.
Table 4.3: Inventory Management techniques
Mean
Std.
Deviation
Vendor Managed Inventory 2.90 1.021
Simulation 2.50 1.051
Just-In-Time 2.45 1.099
Activity Based Costing analysis 2.20 1.281
Marginal Analysis 2.10 1.119
Order Batching 1.85 0.813
Economic Order Quantity 1.70 0.865
Source: Author (2013)
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4.4 Descriptive for extent of inventory management techniques
application
The researcher sought to establish what extent gender applies inventory management
techniques in non-governmental organizations. Also, the study sought to find out if there
was any significance.
4.4.1 Gender and extent of Inventory Management Techniques
application
The study revealed that vendor managed inventory, ABC analysis, JIT and simulation
had a good performance better than other inventory management technique namely EOQ,
marginal analysis and order batching. Female strongly agreed that the extent of inventory
management techniques were applied successfully. This is depicted in the mean scores
for VMI, ABC, JIT and simulation which were 2.91, 2.73, 2.56 and 2.55 respectively.
Male gender also strongly agreed and agreed respectively and their mean score was
slightly lower than female gender and the means were 2.89, 1.56, 2.36 and 2.44 for VMI,
ABC, JIT and simulation respectively. Thus, ABC was significant as depicted by
ANOVA at 0.038 and this is seen in its high mean of 2.73 by the female gender. This
shows that the female employees are more resilient and proficient when it comes to
application of inventory management techniques.
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Figure 4.4.1: Inventory Management Techniques and Gender
*ANOVA was Significant for ABC Analysis at 0.038
Source: Author (2013)
4.5 Impact of inventory management techniques on supply chain
performance
The study sought to establish the impact of inventory management techniques on supply
chain performance in non-governmental organizations in the agricultural sector in Kenya.
This was achieved by conducting a regression analysis to determine if there was any
impact of inventory management techniques on supply chain performance. The
regression model adopted was a linear one to depict the impact and the variables above:
Y = a + b1X1 + b2X2 + b3X3 + b4X4 + b5X5 + b6X6 + b7X7 + e. Where Y = Supply chain
performance measured by responses on effects of inventory management techniques on
1.91
1.44
2.11 2.09
2.56 2.36
2.55 2.44
2.09
1.56
2.91 2.89 2.73
1.56
0
0.5
1
1.5
2
2.5
3
3.5
Female (F=11) Male (F=9)
Me
an S
core
s
Gender
Gender and Extent of Inventory Management Techniques Application
Economic Order Quantity Marginal Analysis Just-In-Time
Simulation Order Batching Vendor Managed Inventory
Activity Based Costing
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supply chain performance; a = Y intercept that is the value of Y when X is equal to zero;
b1, b2, b3, b4, b5, b6 and b7 are regression weights attached to the variables; X1 = Economic
Order Quantity, X2 = Marginal Analysis, X3 = Just-in-time, X4 = Simulation, X5 = Order
batching, X6 = Vendor Managed Inventory, and X7 = ABC Analysis. These independent
variables were measured using responses on each variable acquired from the respondents.
Table 4.6 below illustrates the results obtained from the respondents.
4.5.1 T Test
The findings in table 4.6.1 below indicated that as the regression model tends to zero all
factors held constant, supply chain performance changes by 0.714. Consequently, all
other factors held constant, when application of EOQ improves organizational supply
chain performance increases by one unit, supply chain performance decreases by 0.338 ,
ABC analysis application necessitates organizations to attain optimal supply chain
performance increases by one unit, supply chain performance decreases by 0.003,
perishable goods require keen management and application of marginal analysis helps in
attaining organizational supply chain performance increases by one unit, supply chain
performance increases by 0.381, JIT helps organizations cut on holding cost and improve
customer satisfaction increases by one unit, supply chain performance decreases by
0.427, inventory planning helps organizations achieve optimal supply chain performance
in simulation both financially and on service delivery increases by one unit, supply chain
performance decreases by 0.668, order batching helps organizations save on transport
cost increases by one unit, supply chain performance increases by 0.426 and vendor
management inventory system eases management’s work for inventory replenishment
increases by one unit, supply chain performance increases by 0.062. This is an indication
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that competition among the NGOs is a suitable predictor variable of the dependent
variable Y.
Table 4.5.1: Coefficients
Model Unstandardized
Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
(Constant) .714 1.086 .657 .526
Application of Economic Order
Quantity helps improve organizational
supply chain performance
-.338 .350 -.193 -.965 .357
Activity Based Costing (ABC) analysis
application necessitates organizations to
attain optimal supply chain performance
-.003 .411 -.002 -.008 .994
Perishable goods require keen
management and application of marginal
analysis helps in attaining organizational
supply chain performance
.381 .329 .261 1.157 .274
Just-in-time helps organizations cut on
holding cost and improve customer
satisfaction
.427 .147 .568 2.903 .016
Inventory planning helps organizations
achieve optimal supply chain
performance in simulation both
financially and on service delivery
-.668 .334 -.458 -2.000 .073
Order batching helps organizations save
on transport cost .426 .329 .293 1.296 .224
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Vendor management inventory system
eases management’s work for inventory
replenishment
.062 .213 .064 .293 .776
Years worked .293 .139 .501 2.104 .062
Gender -.359 .379 -.208 -.949 .365
a. Dependent Variable: Competition from other non-governmental organizations
Source: Author (2013)
4.5.2 R2 Determination Coefficient
Table 4.6.2 below indicates R2 value as 73.2% implying that the seven independent
variables explains 73.2% of the variance in supply chain performance of non-
governmental organizations. The independent variables are the advantages enjoyed by the
NGOs in the agricultural sector as a result of utilizing the inventory management
techniques. It is therefore true to say that the variables contributes immensely as per
respondents feedback to achieve optimal level of supply chain performance. Thus, as
supply chain performance gains prominence in the NGO organizations, a lot remains to
be done since the unexplained variance is 26.8%.
Table 4.5.2: Regression Model Summary
Model R R Square Adjusted R Square
Std. Error of the Estimate
Change Statistics
R Square Change
F Change df1 df2
Sig. F Change
1 .855a .732 .490 .630 .732 3.029 9 10 .050
Source: Author (2013)
4.5.3 F Test
Table 4.6.3 below indicates computed F statistic at 1.203 and at 5% level confidence, the
numerator df is equal to 9 and denominator df is equal to 10. This implies that the
regression model is sufficiently significant and can be used to explain the impact of
inventory management techniques on supply chain performance.
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Table 4.5.3: Analysis of Variance
Model Sum of Squares df Mean Square F Sig.
Regression 10.828 9 1.203 3.029 .050b
Residual 3.972 10 .397
Total 14.800 19
Source: Author (2013)
4.6 Challenges of Implementing Supply Chain Techniques
The researcher sought to establish the challenges facing non-governmental organizations
in inventory management technique application. The responses were tabulated on a five
point Likert scale of 1 – 5 where 1 signified strongly agreed and 5 strongly disagree.
The study indicated that the respondents strongly agreed that subcontracting with a mean
score of 3.05 and standard deviation of 0.887 was an important aspect in improving
supply chain performance and it was significant at 0.045 as depicted by ANOVA and it
had a high F statistic of 3.732. Also, respondents strongly agreed that organizations
which are just there to receive funding and not implement any project for the attainment
of supply chain performance had a mean of 2.80 and a standard deviation of 1.105.
Nevertheless, respondents also strongly agreed that outsourcing and lack of adequate
funding contributed to challenges faced in inventory management techniques
implementation in the NGOs and they had a mean of 2.45 and 2.15 and standard
deviation of 1.191 and 0.875 respectively. This implied that NGOs are facing immense
challenges in the implementation of inventory management techniques in the area of
subcontracting, NGOs which are just formed to receive funds and neglect inventory
management implementation, outsourcing and NGOs which lack adequate funds for
inventory management implementation.
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40
Table 4.6: Mean and Analysis of Variance
Mean
Std.
Deviation F Sig.
*Subcontracting is critical for improving inventory
management and supply chain performance 3.05 0.887 3.732 0.045
Organizations receiving funding only 2.80 1.105 1.849 0.188
Outsourcing is critical for improving inventory
management and supply chain performance 2.45 1.191 1.808 0.194
Funding Inadequacy 2.15 0.875 0.230 0.797
Tough Grant Agreements 1.90 0.788 0.903 0.424
Just-In-Time is critical for improving inventory
management and supply chain performance 1.85 1.089 0.061 0.941
Lack of partnership hinders Inventory Management
Techniques optimal Supply Chain Performance 1.80 0.616 0.855 0.443
E-Procurement is critical for improving inventory
management and supply chain performance 1.80 1.196 1.930 0.176
Holding Safety Stock is critical for improving inventory
management and supply chain performance 1.70 0.801 0.474 0.630
Prequalifying suppliers is critical for improving
inventory management and supply chain performance 1.50 0.889 0.544 0.590
Lack of Inventory Management Techniques leads to
poor Supply Chain Performance 1.45 0.605 1.080 0.362
Close partnership for partners or customers is critical for
improving inventory management and supply chain
performance
1.30 0.470 0.713 0.504
Employees Training and development Enhances Supply
Chain Performance 1.25 0.444 0.063 0.939
*ANOVA Significant for Subcontracting at 0.045
Source: Author (2013)
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41
CHAPTER FIVE: SUMMARY, CONCLUSION AND
RECOMMENDATIONS
5.1 Introduction
This chapter presents the discussion of the research findings, summary, conclusions and
recommendations of the study.
5.2 Summary of the Findings and Discussion
The objective of the study was to determine the extent, establish the challenges of
implementing inventory management techniques and access the impact of inventory
management techniques on supply chain performance. It was found out that most of the
NGOs studied had operated for more than 10 years implying that inventory management
was a vital component and a tool that the NGOs used to achieve optimal supply chain
performance. However, the study revealed that majority of the respondents had worked
for 2 – 10 years and they had university degrees implying that they were well equipped to
understand the inventory management techniques. This was evident with finance and
procurement managers unlike the field managers who had a low response rate.
The study also found out that these inventory management techniques were very
important and for NGOs to achieve supply chain performance, the techniques had to be
implemented a view shared by Frahm (2003). It was also evident from the study that
NGOs have been able to utilize inventory management techniques to achieve service
delivery to the customer, forecast demand, and ensure competition is kept at bay. This
hold true according to Hausmann (2013).
It was evident that there were challenges faced by the NGOs in implementing inventory
management techniques in non-governmental organizations. Subcontracting, NGOs
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42
formed to receive donor funds, outsourcing and lack of adequate funding greatly
challenged inventory management techniques, (Sandeep K. et al, 2007). It was evident
that there is need to improve and introduce efficiency in the management of inventory.
This is notable because most respondents have worked for 2 – 10 years and they are
injecting new ideas in the management of inventory. Also, majority of the respondents
are female and they prefer to plan ahead and do their work efficiently and effectively.
It was evident that the independent variable of EOQ, JIT, marginal analysis, order
batching, vendor managed inventory, simulation and ABC analysis explained 73.2% of
the variance in supply chain performance. Thus, the unexplained variance is 26.8%.
5.3 Conclusion and Recommendations
This study sort to answer the questions what is the extent of inventory management
techniques application, how to determine the impact and challenges of inventory
management techniques on supply chain performance and how to determine the
challenges of inventory management techniques in NGOs in the agricultural sector. This
was achieved through relationship establishments between the inventory management
techniques and supply chain performance. It was established that most NGOs have
operated for more than ten years meaning they have been growing and embracing
inventory management techniques implementation. Thus, the study recommends that the
NGOs in the agricultural sector should embrace inventory management techniques so that
they can reap from the immense benefits accrued from implementation.
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43
It was evident that close partnership with customers or partners, prequalification of
suppliers, holding safety stock, lack of inventory management techniques, e-procurement
tools, JIT, stringent grant agreements and knowledge in inventory management
techniques should be encouraged to attain high supply chain performances.
5.4 Limitations of the Study and Suggestions for Further research
The researcher encountered numerous huddles while collecting data where some
respondents took too long to give their feedback. It took numerous follow ups via email,
personal visits and telephone calls to get the feedback. Other respondents had forgotten
and misplaced the questionnaire given to them.
The findings presented in this study can be improved to ascertain if supply chain
performance has a direct effect on individual NGO inventory management techniques.
Also, further studies can be conducted on NGOs in the agricultural sector in Kenya to
find out why and how they manage their inventory by having one centralized inventory
management unit that serves a range of NGOs.
Page 53
44
References
Aberdeen Group. (2004). Supply Chain Inventory Strategies Benchmark Report. How
Inventory Misconceptions and Inertia Are Damaging Companies' Service Levels
and Financial Results. Aberdeen Group.
Achayo, A. (2012). Agri Finance Digest. A half yearly publication for the Agricultural
Finance Corporation. Agricultural Finance Corporation.
AKDP. (2007, April). Poverty Eradication Network. Examining Government and CSO
Collaborations in Kenya: A Study of Selected Successful Case Stories: What Can
We Learn? (Aga Khan Development Programme) Retrieved April 24, 2013, from
AgaKhanDevelopmentProgramme:
http://www.akdn.org/publications/civil_society_kenya_cso.pdf
Amarnath, S. (2007). Financing The Agricultural Value ChainBASIX Experiences.
Hyderabad, India: Unpublished report for BASIX Equity for Equity.
Apte, A. (2010). Humanitarian Logistics: A New Field of Research and Action.
Foundations and Trends(R) in Technology, Information and Operations
Management. USA: Now Published Inc.
Bachetti, A., Plebani, F., Saccani, N. and Syntetos, A.A. (2010). Spare Parts
Classification and Inventory Management: a case study. Global Thinking,
Sustainable Practice, Professional Success. University of Salford. Manchester:
Salford Business School.
Barnes, D. (2008). Operations Management. An International Perspective. United
Kingdom: Thomson Learning.
Beamon, B.M. & Kotleba, S.A. (2006). Inventory Modelling for Complex Emergencies
in Humanitarian Relief Operations. International Journal of Logistics: Research
and Applications, Vol. 9, 1 - 18. Retrieved March 2006
Beamon, B.M. and Kotleba, S.A. (2006). Inventory Modelling for Complex Emergencies
in Humanitarian Relief Operations. International Journal of Logistics: Research
and Applications, Vol. 9, 1 - 18. Retrieved March 2006
Blanchard, D. (2010). Supply Chain Management. Best Practices (2nd ed.). Hoboken,
New Jersey, USA: Published by John Wiley & Sons, Inc.
BPP. (2008). Professional Accountant. London: BPP Publishers.
Cooper, D.R. and Schindler, P.S. . (2006). Business Research Methods (9th ed.). New
Delhi, India: Published by Tata McGraw Hill Education Private Limited.
Page 54
45
Datta, P. (2007). A Complex System, Agent Based Model for Studying and Improving The
Resilience of Production and DistributionNetworks. Cranfield University. USA:
Unpublished Degree of Philosophy.
Denise, R., Duncan, D.R., Gribko, J.R., Kolachina, R. and Lee, M.T. (2009). Modelling,
Simulation and Analysis for State and Local Emergency Planning and Response.
Operational Requirements Document. Report DHS82T2.
Edwards, M. and Hulme, D. (1996). Beyond The Magic Bullet: Non-Governmental
Organization Performance and Accountability in the Post-Cold War World.
Kumarian: Hartford CT.
Falex, L. (2011). Sustainability Strategies Adopted by Non-Governmental Organizations
in Nairobi, Kenya. University of Nairobi, School of Business. Nairobi:
Unpublished MBA Project.
Fellows, P. and Rottger, A. (2005). Business Management for Small-Scale Agro-
Processors. Agricultural Management, Marketing Management and Finance
Service (AGSF). FAO of the United Nations, Agricultural Support Systems
Division. Rome: Food and agricultural Organization of the United Nations.
Frahm, S. (2003, March 05). Vendor Managed Inventory (VMI): Three Steps in Making It
Work. Retrieved May 12, 2013, from Pertinent and Timely Articles to Cultivate
Your SCM Knowledge: http://scm.ncsu.edu/scm-articles/article/vendor-managed-
inventory-vmi-three-steps-in-making-it-work
Gibson, C. (2013). Financial Reporting & Analysis. Using Financial Accounting
Information (13th ed.). South-Western Cengage, USA: South-Western Cengage
Learning.
Gitau, E. (2011). Responses to Supply Chain Management Malpractices in The Kenyan
Public Sector. University of Nairobi, Management Science. Nairobi: Unpublished
MBA Project.
Githendu, D., Nyamwange, O. and Akelo, E. (2008). Inventory Management by
Simulation Analysis - A Case Study of a Water Engineering Company. University
of Nairobi, Department of Management Science. Nairobi: Unpublished Report.
Githui, D. (2012). Responsible Purchasing and Supply Chain Management in Kenya: A
Critical Analysis of the Ethical Considerations in Procurement Management.
European Journal of Business and Management.
GoK. (2011). Agricultural Sector Development Support Programme. Government of
Kenya, Ministry of Agriculture. Nairobi: Published by Ministry of Agriculture.
Page 55
46
Gonzalez, J.L. and Gonzalez, D. (2010). Analysis of An Economic Order Quantity and
Re-Order Point Inventory Control Model for Company XYZ. California
Polytechnic State University. San Luis Obispo: Unpublished Project.
Gwaro, T. (2011). Logistics Innovations in The Road Transport Sector in Kenya.
University of Nairobi, Management Science. Nairobi: Unpublished MBA Project.
Hausman. (2013). Supply Chain Online. (Supply Chain Online, LLC) Retrieved August
01, 2013, from Performance Measures for Supply Chain Management:
https://www.supplychainonline.com/cgi-bin/preview/SCM105/1.html
Heckmann, P., Shorten, D. and Engel, H. (2003). Supply Chain Management at 21. The
Hard Road to Adulthood. USA: Booz Allen Hamilton Inc. Retrieved May 27,
2013, from http://www.boozallen.com/media/file/supply-chain-management-at-
21.pdf
Hines, T. and Bruce, M. (2007). Fashion Marketing. Contemporary Issues (2nd ed.).
Oxford, USA: Butterworth-Heinemann is an inof ElsevierLinacre House, Jordan
Hill.
IAPWG. (2006). UN Procurement Practitioner's Handbook. United Nations. NY:
Interagency Procurement Working Group (IAPWG).
Kamau, T. (2011). Influence of Corporate Governance Practices on Organizational
Performance at Equity Bank Kenya. University of Nairobi. Nairobi: Unpublished
MBA Project.
Kasimbu, J. (2007). The Extent of Stakeholder Involvement in Strategy Formulation
Among Non-Governmental Organizations within Nairobi. University of Nairobi,
School of Business. Nairobi, Kenya: Unpublished MBA Project.
Kavulya, J. (2004). University Libraries in Kenya A Study of Their Practices and
Performance. Humboldt University in Berlin. Berlin: Unpublished MBA Project.
Kothari, C. (2004). Research Methodology. Methods and Techniques (2nd ed.). New
Delhi: New Age International (P) Limited, Publishers.
Kumar, S.A. and Suresh, N. (2009). Operations Management. New Delhi, India: New
Age International (P) Limited, Publishers.
Lai, K.H. and Cheng, T.C.E. (2009). Just-In-Time Logistics. Wey Court East, Union
Road, Farnham, Surrey GU9 7PT, England: Gower Publishing Limited.
Lambert, D. (2008). Supply Chain Management. Processes, Partnerships, Performance
(3rd ed.). USA: The Hartley Press Inc.
Page 56
47
Ledgerwood, J. (2000). Microfinance Handbook. Sustainable Banking with the Poor. An
Institutional and Financial Perspective. Washington DC, USA: The World Bank.
Leslie, J. (2002). Sorghum and Millets Diseases. Iowa: Iowa State Press. A Blackwell
Publishing Company.
Maalin, C. (2007). Corporate Governance. Oxford: Oxford University Press.
Mackay, H. (2013, May 16). Supply Chain Management, School of Applied Technology.
Retrieved May 16, 2013, from http://www.humber.ca/program/supply-chain-
management: http://www.humber.ca/program/supply-chain-management
Maghanga, F. (2011). Logistics Outsourcing Practices Among Tea Processing Firms in
Kericho County, Kenya. University of Nairobi, Department of Management
Science. Nairobi: Unpublished MBA Project.
Management Study Guide. (2013, June 03). Management Study Guide. Retrieved June
17, 2013, from Operational Challenges in Inventory Management:
http://www.managementstudyguide.com/operational-challenges-in-inventory-
management.htm
Mugenda, O.M. and Mugenda, A.G. (1999). Research Methods. Quantitative and
Qualitative Approaches. Nairobi: ACTS Press, ICRAF Complex, United Nations
Avenue.
Murage, J. (2011). Commercial Electricity Supply Chain Management Practices in
Kenya. University of Nairobi, Management Science. Nairobi: Unpublished MBA
Project.
National Treasury. (2004). Supply Chain Management. A Guide for Accounting Officers /
Authoroties. National Treasury, Republic of South Africa. Retrieved June 17,
2013,from
https://www.environment.gov.za/sites/default/files/legislations/accountingofficer_
scmguide.pdf
Ombati, D. (2010). Non-Governmental Organizations, Strategic Management and
Planning Under Uncertainity. University of Nairobi, School of Business. Nairobi:
Unpublished Independent Conceptual Study Paper for Doctor of Phylosophy in
Business Administration.
Onyango, A. (2011). Supply Chain Management Practices and Performance in Cement
Industry in Kenya. University of Nairobi, School of Business. Nairobi:
Unpublished MBA Project.
Page 57
48
Palevich, R. (2012). The Lean Sustainable Supply Chain. How to Create a Green
Infrastructure with Lean Technologies. UK: Published by Pearson Education, Inc.
Poiger, M. (2010). Improving Performance of Supply Chain Processes by Reducing
Variability. WU Vienna University of Economics and Business. Institute for
Production Management, Department of Information Systems and Operations.
Vienna: Unpublished MBA Project.
Poisot, A. S. (2004). Good Agricultural Practices - a Working Concept. Backgroung
Paper for the FAO Internal Workshop on Good Agricultural Practices. Rome:
FAO Agricultural Department.
Porter, M. (1980). Competitive Strategy: Techniques forAnalyzing Industries and
Competitor. New York: Free Press.
Porter, M.E. and Montgomery, C.A. (1991). Strategy. Seekingand Securing Competitive
Adavantage. (H. B. Review, Ed.) Harvard, USA: Harvard Business School
Publishing Division.
Prasad, S. and Tata, J. (2010). Micro-Enterprise Supply Chain Management in
Developing Countries. Journal of Advances in Management Research, Vol. 7, 8 -
31.
Ryfman, P. (2007). Non-Governmental Organizations: an Indispensable Player of
Humanitarian Aid. International Review of the Red Cross, Volume 89(Number
865).
Sandeep K. et al. (2007). Supply Chain Management: New Trends and Strategies.
Infosys.
Schonberger, R. (2008). Best Practices in Lean Six Sigma Process Improvement. A
Deeper Look. Hoboken, New Jersey, USA: Published by John Wiley & Sons Inc.
Shah, A. (2012). NGOs Eastern Africa. Developmanr& Business Organizations.
Directory & Profiles 2011/12 (7th ed.). Nairobi, Kenya: New Dawn
MediaServices.
Shapiro, J. (2009). Modelling the Supply Chain (2nd ed.). Cengage, USA: Cengage
Learning.
Silver. (2007). Inventory Management: A Tutorial, Canadian Publications, Practical
Applications and Suggestions for Future Research. University of Calgary,
Haskayne Schoolof Business. Calgary: Haskayne Schoolof Business. Retrieved
2013, from http://www.ucalgary.ca/files/haskaynefaculty/2007-03.pdf
Page 58
49
Silver, E. (2007). Inventory Management: A Tutorial, Canadian Publications, Practical
Applications and Suggestions for Future Research. University of Calgary,
Haskayne Schoolof Business. Calgary: Haskayne Schoolof Business. Retrieved
2013, from http://www.ucalgary.ca/files/haskaynefaculty/2007-03.pdf
Spar, D. and Dail, J. (2002). Of Measurement and Mission. Accounting for Performance
in Non-Governmental Organizations. Chicago Journal of International
Law(3(1)), 171 - 181.
Sridharan. (2010). ICRISAT (International Crops Research Institute for The Semi-Arid
Tropics) EasternandSouthern Africa. 2009 Highlights. ICRISAT.
Sridharan, S. (2010). ICRISAT (International Crops Research Institute for The Semi-Arid
Tropics) EasternandSouthern Africa. 2009 Highlights. ICRISAT.
Sridharan, S. (2011). ICRISAT (International Crops Research Institute for The Semi-Arid
Tropics) Eastern and Southern Africa. 2010 Highlights. Nairobi, Kenya:
ICRISAT.
Stelth, P. and Roy, G.L. (2009). Projects' Analysis through CPM (Critical Path Method).
School of Doctral Studies (European Union) Journal(No.1).
Sutherland, D.R., David Rider Smith and Alistair. (2002). Institutionalizing Inpact
Oriention. Building Performance Management Approach that Enhances the
Impact Orientation of research Organizations. London, United Kingdom: ITDG
Publishing, 103-105.
USAID Kenya. (2012). Multi-Stakeholder Evaluation of Agriculture and Livestock Value
Chain Activities in Kenya. USAID. Nairobi: Development & Training Services,
Inc., (dTS).
Voices from the Field: Science for the poor in Kenya. 2003. (2003). A Global
Agricultural Research Partnership. (CGIAR) Retrieved from CGIAR In Action:
http://www.cgiar.org/web-archives/www-cgiar-org-inaction-kenya-html/
Wakhungu. (2010). Executive Succession and Performance in Small & Medium
Enterprises. University of Nairobi. Nairobi: Unpublished MBA Project.
Wakhungu, W.C. (2010). Executive Succession and Performance in Small & Medium
Enterprises. University of Nairobi. Nairobi: Unpublished MBA Project.
Wandabwa, G. (2010). The Relationship Between Corporate Governance and Financial
Performance AMong Broadcasting Stations in Kenya. University of Nairobi,
Faculty of Commerce. Nairobi: Unpublished MBA Project.
Page 59
50
Water, D. (2003). Global Logistics and Distribution Planning. Strategies for
Management (4th ed.). London, United Kingdom: Kogan Page Limited.
Wild, T. (2002). Best Practice in Inventory Management (2nd ed.). Oxford, Great Britain:
Published by Elsevier Science Limited.
Wisner, T., Tan, K.C. and Leong, G.K. (2011). Principles of Supply Chain Management.
A Balanced Approach (3rd ed.). USA: Printed in the United States of America.
Page 60
51
Appendices
Appendix 1: Questionnaire
The structured questionnaire presented is purely for data collection on inventory
management techniques and performance of non-governmental organizations in the
agricultural sector in Kenya. Data collected shall be treated with utmost confidentiality
and the overall purpose is for academic furtherance.
Section I: Bio data
1. Position held:
Please tick (√) where appropriate
Finance Manager Procurement Manager Stores Manager
Field Manager Others
2. How long have you worked in this position
Please tick (√) where appropriate
Below 2 years Between 2-5 years Between 6-10 years
Between 11-15 years Between 16-20 years Above 20 years
3. What is your education level?
4. How long has the organization been in operation?
Please tick (√) where appropriate
Below 5 years Between 6-10 years Between 11-15 years
Between 16-20 years Between 21-25 years Above 25 years
5. Gender
6. Name of Institution
Section II: Extent of inventory management techniques application in non-governmental
organizations in the agricultural sector in Kenya
Please indicate by ticking (√) the extent to which the following inventory management
techniques are applied in your organization as per the following scale of 1 - 5
1 – Strongly Agree, 2 – Agree, 3 – Neutral, 4 – Disagree, 5 – Strongly Disagree
Secondary College
Diploma
University
Degree
Graduate
Degree Others
(Specify
)
Male Female
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52
No. 1 2 3 4 5
1. Economic Order Quantity
2. Marginal Analysis
3. Just-in-time
4. Simulation
5. Order batching
6. Vendor Managed inventory
7. Activity Based Costing (ABC) Analysis
8. Others: Please specify: i.
ii.
iii.
Section III: a. Impact of inventory management techniques on the supply chain
performance of non-governmental organizations in the agricultural sector in Kenya.
Please indicate by ticking (√) on the appropriate statement as per the scale below:
1 – Strongly Agree, 2 – Agree, 3 – Neutral, 4 – Disagree, 5 – Strongly Disagree
No. 1 2 3 4 5
1. Application of Economic Order Quantity helps improve
organizational supply chain performance by way of quantities
required and when they are required.
2. Activity Based Costing (ABC) analysis application necessitates
organizations to attain optimal supply chain performance.
3. Perishable goods require keen management and application of
marginal analysis helps in attaining organizational supply chain
performance.
4. They say Just-in-time helps organizations cut on holding cost
and improve customer satisfaction. Does this hold for your
organization?
5. Inventory planning helps organizations achieve optimal supply
chain performance in simulation both financially and on service
delivery.
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53
6. Order batching helps organizations save on transport cost.
7. Vendor management inventory system eases management’s
work for inventory replenishment.
8. Has competition from other NGOs affected your supply chain
performance?
9. Others: Please specify: i.
ii.
iii.
Section III: Challenges of implementing inventory management techniques in non-
governmental organizations in the agricultural sector in Kenya.
Please indicate by ticking (√) the extent you agree on the statement below for control as
per the scale of 1 – 5: 1 – Strongly Agree, 2 – Agree, 3 – Neutral, 4 – Disagree, 5 –
Strongly disagree
No. 1 2 3 4 5
1. Lack of inventory management techniques has contributed to
poor supply chain performance.
2. Training and development of employees will enhance supply
chain performance of your organization.
3. Lack of partnership with suppliers ails organizations in attaining
optimal supply chain performance.
4. Lack of adequate funding hinders inventory management
techniques implementation.
5. Stringent donor grant agreements hinder inventory management
techniques implementation.
6. Some organizations are just there to receive funding and not
implement any project rendering supply chain performance
attainment irrelevant.
7. The following are critical for your organization to improve
inventory management and supply chain performance:
i. Close partnership with customers / partners
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54
ii. Just in time supply
iii. E-procurement (MRP/ERP)
iv. Outsourcing
v. Subcontracting
vi. Holding safety stock
vii. Pre-qualifying suppliers
8. Others: Please specify: i.
ii.
Thank you for your valuable contribution
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55
Appendix II: Agricultural Non-governmental Organizations in
Kenya
N
o
Name of NGO Contact Area of
Interest
Location
1 Afforestation Agriculture
Livestock Improvement &
Soil Conservation
Programme
Josphat C. Lumeagi
0722287757
Agriculture &
Conservation
Riziki Plaza
1st Floor
Kisii-Migori
Road,
Nyanza
2 African Agricultural
Technology Foundation.
Africaine Pour Les
Technologies Agricoles
(AATF)
P.O. Box 30709, 00100
Nairobi
Tel: +254 20
4223700/3731
Url: aatf-africa.org
Agriculture &
Technology
ILRI
Campus,
Nairobi
3 Arican Biotechnology
Stakeholders Forum
(ABSF)
Prof. Norah Olembo,
Executive Director
P.O. Box 6609, 00800
Nairobi
Tel: 4444558/4448762
Cell:
0720223244/0734333283
Email:
[email protected]
URL: www.abneta.org
Agriculture
Research,
Biotechnology
Nairobi
4 African Conservation
Tillage Network (ACT)
P.O. Box 10375, 00100
Nairobi
Tel: +254 20 4444252
Cell: +254 722751208
Email: info@act-
africa.org
URL: www.act-africa.org
Conservation
Agriculture for
Improved
Livelihood and
Better
Environment
KARI-
NARL,
Waiyaki
Way,
Westlands
5 Africa Crop Science-
Kenya Chapter
Faculty of Agriculture –
University of Nairobi
Agricultural
Research
Nairobi
6 African Harvest Biotech
Foundation International
(AHBFI)
Josephine Kilei, Senior
Administrator
P.O. Box 642, 00621
Nairobi
Tel: +254 20
4441113/5/6
Cell: +254
733635260/0724 256977
URL:
www.africaharvest.org
Research &
Agricultural
Development
White Field
Place, School
Lane,
Westland, 3rd
Floor
entrance B
7. African Network For
Agriculture, Agro-Forestry
Email: [email protected] Forestry &
Agricultural
United
Nations
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56
& Natural Resources
Education (ANAFE)
Research Avenue,
Gigiri C/o
ICRAF.
Nairobi
8. African Seed Trade
Association(AFSTA)
P.O. Box 2428,00200
KNH, Nairobi
Tel: +254 20
2727853/2727860
Email: [email protected]
URL: www.afsta.org
Agri-Business Utumishi Co-
op House, 1st
Floor,
Mamlaka
Road
9. Community Based
Development Agency
(CBDA)
Pascal D. Lewa
P.O. Box 99, 80108,
Kilifi
Cell: +254 720
803390/733 883090
Email:
coba_developmentagenc
[email protected]
Agriculture Kilifi
10
.
FARM Africa (Food &
Agricultural Research
Management – Africa)
Helen Altshul, Regional
Director
P.O. Box 49502, 00100
Nairobi
Tel: +254 20
2731664/2732203/27320
44
Cell:+254
721576531/0734721208
Email: info@farm-
africa.org
URL:
www.farmafrica.org.uk
Innovative
Agricultural
Technologies,
Practices and
access to
markets
Argwing
Kodek Rd.
Studio
House, 4th
Floor,
Nairobi
11
.
IFDC (International Centre
For Soil Fertility &
Agricultural Development)
P.O. Box 30772, 00100
Nairobi
Tel: +254 20 8632724/20
Cell:+254 711965024
URL: www.ifdc.org
Agricultural
Development
ICIPE
Duduvile
Campus,
Kasarani,
Thika Road
12
.
International Centre for
Research in Agroforestry
(ICRAF). World
Agroforestry Centre
Jacinta Kimwaki,
Information Officer
P.O. Box 30677, 00100
Nairobi
Tel: +254 20
7224000/4178
Email:
[email protected]
URL:
www.worldagroforestryc
Transforming
Lives and
Landscape
United
Nations
Avenue,
Gigiri
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57
entre.org
13
.
International Livestock
Research Institute (ILRI)
P.O. Box 30709, 00100
Nairobi
Tel: +254 20 4223000
Email: ilri-
[email protected]
URL: www.ilri.org
Livestock
Research
Old Naivasha
Road
14
.
International Plant Genetic
Resource Institute (IPGRI)
– IPGRI-BIOVERSITY
Abigael Odanga, Senior
Administrator
P.O. Box 30677, 00100
Nairobi
Tel: +254 20
7224000/4500/4514
Email:
[email protected]
URL:
www.ipgri.cgiar.org
Plant Genetic
Resource and
Research
United
Nations
Avenue,
Gigiri C/o
ICRAF.
Nairobi
15
.
Kazi Mashambani
Development Programme
(KAMADEP)
Morris M. Isiye
Tel: +254 056 30775
Cell:+254 721405630
Email:
[email protected]
Agricultural
Development
Milimani
Estate,
Opposite Star
Academy,
Western
16
.
Kenya Organic Agriculture
Network (KOAN)
Eustace Kiarie, National
Coordinator
P.O. Box 72461, 00200
Nairobi
Tel: +254 20 2610863
Cell:+254 722
2076301/0735721376
Email:
[email protected]
URL: www.koan.co.ke
Organic
Agriculture
ICIPE
Campus
complex,
Kasarani
17
.
The African Forest Forum
(AFF)
G. Kowero
P.O. Box 30677, 00100
Nairobi
Tel: +254 20 7224000
Email:
[email protected]
Afforestation United
Nations
Avenue,
Gigiri C/o
ICRAF.
Nairobi
(Shah, 2012)
No Name of NGO Contact Area of
Interest
Location
1 International Center
for Tropical
Agriculture (CIAT)
CIAT Africa Coordination
P.O. Box 823-00621
Nairobi, Kenya
Phone: +254 20 8632800,
Tropical
Agriculture
ICIPE.
Duduville
Campus
Off
Page 67
58
+254 721574967
Fax: +254 20 8632001
E-mail:
[email protected]
Kasarani
Road.
2 Center for
International
Forestry Research
(CIFOR)
P.O. Box 30677, 00100
Nairobi
Tel: +254 20 7224000
Forestry
Research
United
Nations
Avenue,
Gigiri C/o
ICRAF.
Nairobi
3 International Maize
and Wheat
Improvement Center
(CIMMYT)
Philip Doyo, Finance
Manager
P.O. Box 30677, 00100
Nairobi
Tel: +254 20 7224000
Maize and
wheat
Research
United
Nations
Avenue,
Gigiri C/o
ICRAF.
Nairobi
4 International Potato
Centre (CIP)
P.O. Box 30709, 00100
Nairobi
Tel: +254 20 4223000
Email: [email protected]
URL: www.ilri.org
Root and
Tuber
research.
Agricultural
research for
Development
ILRI at Old
Naivasha
Road
5 International Crops
research Institute for
The Semi-Arid
Tropics (ICRISAT)
Said Silim, Director
Eastern and Southern Africa,
ICRISAT
P O Box 39063 Nairobi,
Kenya
http://www.icrisat.org/
Tel: +254 20 7224555
Fax:+254 20 7224001
E-mail: [email protected]
Cereals and
Legumes
United
Nations
Avenue,
Gigiri C/o
ICRAF.
Nairobi
6 Agricultural
Research
Development
(CIRAD)
P.O. Box 30677, 00100
Nairobi
Tel: +254 20 7224000
http://www.icrisat.org/
Tel: +254 20 7224555
Fax:+254 20 7224001
E-mail: [email protected]
Agricultural
Research
United
Nations
Avenue,
Gigiri C/o
ICRAF.
Nairobi
7 International
Institute of Tropical
Agriculture (IITA)
c/o ICIPE
P.O. Box 30772-00100
Nairobi, Kenya
Tel: +254-20-8632900
Agriculture ICIPE.
Duduville
Campus
Off
Kasarani
Road.
(Voices from the Field: Science for the poor in Kenya. 2003, 2003)
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59
Appendix III: Letter of Introduction for Data Collection