THE IMPACT OF PARTICIPATION OF BUDGET SETTING ON THE JOB SATISFACTION OF EMPLOYEES AND THE PERFORMANCE OF LOCAL GOVERNMENT (Empirical Study at Daerah Istimewa Yogyakarta) POPI FAUZIATI Senior Lecturer [email protected]At Department of Accountancy University of Bung Hatta ABSTRACT Many accounting studies that examine relationships with satisfaction the participation and performance budgeting. The results indicated that participation has a positive relationship with satisfaction (French, Kay & Meyer, 1966; Chenhall, 1986; Frucot & Shearon, 1991). While relations with the participation of the performance can be divided into two opinions. First, the study suggested a positive relationship (Kenis, 1979; Merchant, 1981; Brownell, 1982; Brownell and McInnes, 1986). Second, research indicates a negative relationship (Milani, 1975, Bryan and Locke, 1967). To mediate the second opinion may be used is the intervening or moderating variable in the relationship. Kren (1992) found that participation has a relationship to job performance through relevant information (JRI). The purpose of this study was to test empirically the relationship with satisfaction the participation and performance using job relevant information (JRI) as an intervening variable. JRI is the information that facilitates decision-making. Data were collected through questionnaires and 149 questionnaires media that can be processed at the rate (53%) and processed using Analysis of Moment Structure (AMOS 4.01).The results indicate that the relationship of participation in job satisfaction has a strong relationship. While the job relevant information (JRI) cannot mediate the relationship of participation in the performance or
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THE IMPACT OF PARTICIPATION OF BUDGET SETTING ON THE JOB SATISFACTION OF EMPLOYEES AND THE PERFORMANCE OF LOCAL GOVERNMENT (Empirical Study at Daerah Istimewa Yogyakarta)
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THE IMPACT OF PARTICIPATION OF BUDGET SETTING ON THE JOBSATISFACTION OF EMPLOYEES AND THE PERFORMANCE
OF LOCAL GOVERNMENT(Empirical Study at Daerah Istimewa Yogyakarta)
POPI FAUZIATISenior Lecturer
[email protected] At Department of AccountancyUniversity of Bung Hatta
ABSTRACT
Many accounting studies that examine relationships withsatisfaction the participation and performance budgeting. Theresults indicated that participation has a positive relationshipwith satisfaction (French, Kay & Meyer, 1966; Chenhall, 1986;Frucot & Shearon, 1991). While relations with the participation ofthe performance can be divided into two opinions. First, the studysuggested a positive relationship (Kenis, 1979; Merchant, 1981;Brownell, 1982; Brownell and McInnes, 1986). Second, researchindicates a negative relationship (Milani, 1975, Bryan and Locke,1967). To mediate the second opinion may be used is the interveningor moderating variable in the relationship. Kren (1992) found thatparticipation has a relationship to job performance throughrelevant information (JRI).
The purpose of this study was to test empirically therelationship with satisfaction the participation and performanceusing job relevant information (JRI) as an intervening variable.JRI is the information that facilitates decision-making. Data werecollected through questionnaires and 149 questionnaires media thatcan be processed at the rate (53%) and processed using Analysis ofMoment Structure (AMOS 4.01).The results indicate that therelationship of participation in job satisfaction has a strongrelationship. While the job relevant information (JRI) cannotmediate the relationship of participation in the performance or
Working satisfaction can have a very important position for
the organizational behavior (Luthans, 1995: 125). The important
factors for the working satisfaction can be seen from 3 sides.
First, working satisfaction is an emotional factor, abstract, but
can only be predicted. Second, if the result of the work has
fulfilled or exceeded what has been expected, of example if
someone feels that he or she has worked hard, but he or she
receives lower incentive, perhaps the person will react
negatively with the co-workers, superior and also his or her job.
On the contrary, if he or she is treated and paid well, his or
her character will be positive. Third, this third factors sees
the working satisfaction in many attitudes related with the job.
In this case, there are 5 dimensions of working characteristic,
which later, can affect behavior, they are:
1. His own job, meaning, whether the job interesting or not.
Also, there is an opportunity to learn, tempting enough.
2. Wage, in the form of the received amount, whether equals with
the others in the organization or not.
3. Promotion opportunity, by getting higher positions in the
organization.
4. Supervision, giving clue and technical assistance.
5. Co-workers, with co-workers, who technically adequate enough
and support cooperation.
The five working characteristics determine the working
satisfaction, but related to the thing related to the
participation is the fourth (supervision). In the case of
supervision, there are 2 dimensions of leadership. First, the
character of employee-centeredness; the amount of working
satisfaction depends on how far the superior pay attention to the
employees’ welfare. Second, participative leadership, that is
manager allows his subordinates to participate in the decision
making, related to their job. The second one is generally will
increase the working satisfaction. Although like that, other
characteristics are also important enough factors in the working
satisfaction. Similarly in the job itself, which can be seen in
the working group (friendly, helpful), working condition (clean,
interesting, not hot, not noisy).
Several researches results (French, Kay & Meyer, 1986;
Chenhall, 1986; Frucot & Shearon, 1991) show that participation
in budget setting has positive impact on the working
satisfaction. Based on the results of the research, thus, this
research uses working satisfaction as the dependent variable.
C. Performance
The proxy for the performance is rather difficult. As whole,
perhaps there is company’s profit or the achievement of budget
can be used as the measurement. But, it might be difficult for
the individual, although there is a measurement of wage
improvement (Frucot and Shearon, 1991). In the division in which
there is no revenue and only burden/expenditure, it is difficult
to hold a measurement of performance, has the expenditure under
the budget, which has been determined, showed good performance?
Not always, perhaps, with the stress on the expenditure will
emerge efficiency.
Sometimes, it is really difficult to determine that certain
expenditure will reach certain objective or benefit. It is
similar with part of research and development. Usually, the
performance is difficult to measure because the result will be
obtained several yeas later after the burden is released. It also
exists in the education, whether the burden released for the
media, such as a pretty expensive video can be measured with the
result of the related section. The result might be far from the
spent burden. In the non-profit organization, the measurement of
performance cannot be determined by using the same tools as in
common companies (profit oriented). It is not clear and not
logical. So, in this kind of organization, the balance point is
used as the measurement of reached performance (Anthony et al.,
1984: 644).
The measurement system of public-sector performance is a
system, which aimed to help the public managers to assess the
achievement of a strategy through financial and non-financial
measurement tools. This measurement is aimed to meet three
objectives. First, it is meant to be able to help to repair the
government performance. The measurement of performance is meant
to be able to help government to focus on the goal and objective
of working unit program. Finally, it will increase the efficiency
and the effectiveness of public-sector organization in serving
the public. Second, public-sector measurement is meant to
allocate sources and decision making. Third, the measurement of
public-sector is meant to implement public responsibility and
repair institutional communication. The performance of public
sector is multidimensional, so, there is no single indicator,
which can be used to show the performance comprehensively.
Different with private sector, because the character of output
resulted by public sector is more intangible output. Therefore,
the only financial measurement is not enough for public sector.
D. Job Relevance Information
Job relevance information is information, which can help
managers to choose the best action through better-informed effort
(Kren, 1992). For example, the information about inflation,
economic condition, and company’s financial condition. Kren
(1992) carried out a research entitled “Budgetary Participation
and Managerial Performance: The Impact of Information and
Environmental Volatility.” This research was carried out by
including volatility environmental condition. This is the change
or the variety of situation faced by an organization. The result
of the research showed that, as a whole (with the number of
sample of 80), JRI acted as intervening, which explains the
relation between the participation in budget setting on the
managerial performance with correlation of 0.214 at the
significance level of one percent (performance<0.001).
The result of Indriani (1993) research said that the job
relevance information gives better knowledge about the
alternative decisions and actions needed to reach the objectives
(Locke et al., 1967). The job relevance information is an
important variable in budgeting system because the information
can give a more precise prediction about the environment.
Therefore, it becomes the choice of opportunity to be effective
(Muslimah, 1998).
Based on the description above and previous researches, it
can be formulates a hypothesis as follow:
H1: The participation in budget setting affects positively onthe working satisfaction.
H2: The relation between the participation in budget settingand the performance will be explained by indirect impact inwhich the higher the participation, the more the usage ofjob relevance information, and job relevance informationrelates positively with the performance.
RESEARCH METHOD
Sample and Data Collecting Technique
The samples of this research are the staff and operator
elements participating in budgeting in 4 regencies, Sleman,
Bantul, Kulon Progo, Gunung Kidul, and and county, Yogyakarta.
Those samples comprise of Official element, Mayor, Financial
Section in Mayor’s office, and budgeting staff. The data
collection was carried out by using questionnaire. The number of
distributed questionnaire is of 300 questionnaires. The
researcher expects will receive returned questionnaires of 150.
To make it more effective, the distribution of the questionnaires
to the respondents was carried out by delivering the
questionnaires by the researcher. The reason is to make the
return level becomes high and the researcher can give direct
explanation about the fulfillment of the questionnaire. The step
taken to control the distributed questionnaires was by calling
the respondent via telephone to make sure that the questionnaire
has been fulfilled.
Variable Identification and Measurement
The data in this research comprises of primary data,
collected though questionnaire. And, the secondary data was
collected from the literature research, which is previous
research on the participation in budget setting and the
theoretical bases appropriate with the topic of this research.
The research is planned as an empirical research to test the
proposed hypothesis. The variables, wanted to examine are budget
participation, job relevance information, performance and
satisfaction. The instrument in this research was using the
instruments, which have been made by the researcher before and
have been modified.
Participation Variable and Performance Measurement
The measurement of participation and performance is carried
out by using the instrument from Kenis (1979), that has been
developed by Mardiasmo (2001) and has been suited with budgeting
system in Indonesia. This instrument will use Likert 5 scale,
starting from the statement of ‘extremely disagree’ until
extremely agree’.
The Measurement of Satisfaction Variable
For the working satisfaction, it is used the instrument from
the previous research, that is Weiss et al., (1967) in Minnesota
Satisfaction Questionnaire. The scale comprises of one until five
scales. Scale one says ‘extremely disagree’ and scale five says
‘extremely agree’. This instrument uses 20 questions, which was
the simple form of 100 existing questions. This instrument is
chosen because its validity has been tested, having enough
internal consistency.
Job Relevance Information Variable Measurement
Job relevance information is information to ease the
decision facilitating related with the job or position. This
variable is used to obtain the respondents’ perception on the
information availability for the decisions related with their
job. The measurement of this variable uses questionnaires
developed by O’Reilly (1980), which then used by Kren (1992) and
Muslimah (1998). This instrument uses Likert scale, starting from
one (extremely disagree) until five (extremely agree).
Analysis Instrument
Statistical analysis used to test the model and hypothesis
is Structural Equation Model (SEM) with using version 4.01 AMOS
program. This test is carried out in two parts. First, testing
whether the proposed model has been appropriate or not, and
second, testing the proposed hypothesis. In the test, there are
several steps to be passed:
1. Developing path diagram
2. Evaluating the SEM assumptions
3. Evaluating the criteria of Goodness of fit of the research
model
The second part of the testing step is the test of each
hypothesis proposed in this research model. This test is
identical with trust-test in the multiple regression, using
stepwise method. To determine whether the hypothesis is accepted
or rejected, it can be seen from the value of Critical Ratio (CR)
at the Regression Weight.
DATA ANALYSIS AND DISCUSSION
Respondents
The number of returned questionnaires is of 159 (53%)
from the total amount of 300 questionnaires. From the returned
questionnaires, 10 questionnaires are not fulfilled completely
so, they cannot be processed further. After the completion
analysis is carried out, the remain questionnaires are of 149.
Descriptive Statistic
Based on the collected answers from the respondents, it can
be found out descriptive statistic as shown in . 1 below. Tabel 1
Statistic DescriptionVariabel N Theoritic
al TermActualTerm
Mean DeviationStandart
Participation
149 10 – 50 27 – 46 37,96 3,83
Satisfaction
149 19 – 95 46 - 96 71,83 8,61
Performanc 149 18 – 90 42 – 67 54,07 4,24
e
JRI 149 8 – 40 21 – 35 30,11 3,53
Instrument Test
Instrument test is carried out by factorizing-analyzed the
questions items using SPSS software. To see the reliability f
the instrument, therefore, it will be measured Cronbach Alpha of
each instrument. The instruments stated as reliable if the
instrument has bigger Cronbach alpha value than 0.6 (Nunnally
1978, as quoted by Flory et al., 1992). While, for validity
testing, it is carried out to find out how good an instrument in
measuring the concept, which has to be measured. And, to find out
whether the questions in the questionnaire are valid or not, it
is used factor analysis. The method used is varimax rotation, and
each variable is hoped to have factor loading more than 0.4
(Riyanto, 1997). Besides, the value of Kaiser’s MSA, which is
bigger than 0.5, can be said appropriate for factor analysis and
indicating construct validity from each instrument (Kaiser and
Rice, 1974). The result of reliability testing and instrument
validity can be seen in Table. 2.Table. 2
The Summary of Realiability and Validity
Variable Cronbachalpha
Factor loading Kaiser’s MSA
Participation
0,6340 0,454 –0,734
0,659
Satisfaction 0,8820 0,400 –0,736
0,854
Performance 0,7299 0,444 –0,831
0,683
JRI 0,6973 0,458 –0,729
0,717
Model Fit
From Table 3 below, it can be simplified the result of
structural equation modeling testing through the computation of
version 4.01 AMOS on the model fit.Table 3
The Evaluation Goodness of Fit IndexCriterion Cut Off Result from
The result of above criteria can be concluded that this
research model is fit enough. Therefore, it can be stated that
this test results good confirmation on the factor dimensions and
the causal relations among factors.
Hypothesis Testing Result and Discussion
Table. 4 shows the result of structural equation modeling
measurement by using version 4.01 AMOS program on the hypothesis,
beta, and t-counted measurements as presented in Table 4.Table 4
The Result from Hypothesis, Beta dan CR
Relation ofvariable
C.R.
(Sign)
Satisfac Part 0,888 15,659 0,000*
JRI Part - 0,081 -1,065 0,287
Perf JRI 0,429 11,088 0,000*
Perf Part 0,039 1,101 0,271
* significant at p < 0,05
The explanation on the tested hypothesis in Table 4 can be
described as follow:
Hypothesis 1 Testing
The Performance-value to test this hypothesis is small, from
0.05 or t-counted value of 15.695. While the t-table at the
probability of 0.05 and df of 2 is = 2.920. Thus, the t-test on
this hypothesis is 15.695 > 2.920 or t-counted > t-table. Hence,
it can be concluded that the null hypothesis can be rejected and
the coefficient value is significant. Therefore, hypothesis 1 is
proven, with coefficient value of 0.888. This means that 88.8% of
satisfaction variable can be explained by participation in budget
setting. This means that the higher the participation in budget
setting the higher the working satisfaction. The result of this
research supports the Indrianto (1993) and Indriani (1993)
researches. Other research, which conveys that participation in
the participation in budget setting, affects the working
satisfaction. This is conveyed by French, Kay & Meyer (1986);
Chenhall (1986); and Frucot & Shearon (1991).
Hypothesis 2 Testing
The aim of this hypothesis is to see whether the variable of
job relevance information functions as intervening variable in
the relation between the participation in budget setting and
performance. The Performance-value to test the relation between
participation and the performance of this hypothesis is big from
0.05 or t-counted value of 1.101. While, t-table at the
probability of 0.05 and df of 2 is of 2.920 (t-counted < t-
table). Thus, the result is not significant. Similarly in the
relation between participation and the J –1.065 < 2.920. While,
the relation of job relevance information with performance, its
Performance-value is small 0.05 (0.000) or t-counted > t-table
(11.088< 2.920). It can be found out that the job relevance
information significantly affects on the performance. As a
result, based on the test result, it can be found out that the
participation in budget setting is not significantly affecting
the performance. It is similar with the participation in budget
setting, which is also not significantly affecting the job
relevance information.
Table. 4 describes that the coefficient value for the impact
of participation in budget setting on the use of job relevance
information is of –0.081. This is smaller than the coefficient
value for the impact of participation in budget setting on the
performance, which is of 0.039. This means that the null
hypothesis cannot be rejected, that is the impact of
participation in budget setting on the performance cannot be
happened through the variable of job relevance information. From
the same table, it is also seen that the coefficient value of job
relevance information on the performance is of 0.429, and this
value is bigger than 0.039. This means that the use of job
relevance information affects the performance, but the impact
will be smaller if there is participation in budget setting. To
make it clearer on the role of job relevance information can
mediate the relation between the participation and the
performance, which can be seen in Table 5.Table. 5
Decomposition Models Relationship
Dependent
Variable Link To
TotalEffect
DirectEffects
IndirectEffects
JRI/Part - 0,081 - 0,081 0,000
Perf/JRI 0,429 0,429 0,000
Perf/Part 0,004 0,039 - 0,035
From the above Table, it can be seen that the direct
relation between the participation and the performance (0.039) is
bigger compared with the relation through job relevance
information (-0.035). This means that with the existence of job
relevance information as the intervening variable, it will reduce
the relation between the participation and the performance. The
result of this research is different with the result of Kren
(1992) research, in which the result of his research said that
the job relevance information could mediate the relation between
the budget participation and the performance.
Conclusion
Based on the result of the data analysis and the hypothesis
testing, thee are several problems proposed in this research will
be answered. The followings are the conclusions that become the
gist of the analysis and the hypothesis testing.
1. Empirically, hypothesis 1 is proven. This means that this
research can achieve to prove that the participation in the
budget setting affects the working satisfaction. The result of
data processing shows that the increase participation in
budget setting will increase working satisfaction, although
there are other factors affecting the relation of the two
variables. The result of this research supports the result of
Indriantoro (1993) research, which obtained the high level of
participation in budget setting supports the working
satisfaction in Indonesia. Generally, the previous researches,
finding positive relation between the participation in budget
setting and the working satisfaction, were carried out by
French Kay and Mayer (1996), Milani (1975) and Cherington and
Cherington (1973).
2. Empirically, hypothesis 2 is not proven. This means that the
relation between the participation in budget setting and the
performance cannot be mediated by job relevance information
variable. The result of data processing shows that the
participation is not affecting the use of job relevance
information. The higher participation, the lower the use of
job relevance information. The use of job relevance
information affects the performance. This means that the more
the use of job relevance information, the better the
performance is. This means that the result of this result
cannot reject the null hypothesis, that is the job relevance
information cannot mediate the relation between the
participation in budget setting with performance.
The result of this research is different with the result of
research carried out by Kren (1992), that concluded that the
JRI could act as the intervening variable among the variables
of participation and performance. This difference might be
because the respondents are the managers in manufacture
companies.
Implication and Limitation
It is better for this research to be widened, either from
the scope of population district of the variables, which want to
be tested. It is needed to be considered because the budget
participation is a part of the management participation, which is
very meaningful in profit organization or non-profit organization
in increasing working effectiveness and efficiency. Because JRI
cannot act as an intervening variable, then, JRI cannot be used
as the base of consideration in making decision. This thing is
likely caused by the difference in the observed organizational
structure, working environment, and the form of organization. The
researcher suggests for the further research to try to use other
variables that can be used as intervening variables, as
decentralization, motivation, and authority. Frocot and Shearon
(1991) categorized factors affecting the relation of
participation in budget setting that can affect the relation of
participation in the participation in budget setting with
performance. The working satisfaction is macro variable like
organizational structure and technology, working ethic, and
cultural difference. Besides, the micro-level variable, which
affects the relation, is the leadership style and individual
personality.
Although this research has been carried out well, but the
researcher is aware of the existence of several limitation that
cannot be avoided. The followings are the existing limitations:
1. The respondents in this research are only limited in the
governmental officers existing in Daerah Istimewa Yogyakarta.
This research maybe will show a difference result of it is
implemented in District Government in other districts.
2. The data resulted from the use of instrument, which based on
the perception of respondents’ answers, will emerge a problem
if the respondents perception is different with the real
condition. And, the conclusion drawn is only based on the data
collected through the use of written instrument.
3. The use of AMOS analysis is aimed to test the carried out
research. From the result of data processing, it can be seen
that the research model has met several criteria of goodness
of fit. So, the model can be said as a fit model. But, because
in this research, the researcher does not compare the model
with comparison model, hence, this research model cannot be
said as the most optimal model because there might be better
other models.
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