METAPHORS FOR WRONG MANAGEMENT ALI ANANI, PHD
Sep 13, 2014
METAPHORS FOR WRONG MANAGEMENT
ALI ANANI, PHD
I dedicate this presentation to Rajendra Grewal for being an inspirer and provider of ideas, relevant published work and timely comments.
The story of an employee who reports early to work is funny.
The DG walked early morning in an employees’ office. The employee was not in but his jacket, lighter and eye-glasses were there. The dg thought the employee was in the bathroom. He sent him a congratulatory letter. It turned out that the employee deliberately left these items in office the night before so as to give the illusion he was at work.
THE WRONG EMPLOYEE
My friend never smoked a cigarette and yet he died out of cancer. So, smoking doesn’t cause cancer
TWO WRONGS DON’T MAKE RIGHT
My friend never smoked a cigarette and yet he died out of cancer. So, smoking doesn’t cause cancer
A student answers a question correctly- the new teacher draws a line that he is smart.
TWO WRONGS DON’T MAKE RIGHT
My friend never smoked a cigarette and yet he died out of cancer. So, smoking doesn’t cause cancer
A student answers a question correctly- the new teacher draws a line that he is smart.
Give a questionnaire and get one response- draw conclusion that 100% of the surveyed approved or disapproved a certain issue.
TWO WRONGS DON’T MAKE RIGHT
A friend told me that the best time to publish on slideshare is tuesday afternoon, based on the success of his only one presentation.
I took his advice. I got views well belowMy average
PUBLISH ON TUESDAY
TUESDAY
Worker performance in one month Retreated- warn him/her Wrong assumptions based on one month performance
WRONG DECISIONS LEAD TO BIGGER MISTAKES
TUESDAY
Performance has a peak curve. Little changes near the peak cause drastic changes in performance
Stressing the employees to assume improved performance is misleading
Even worse is the assumption derived from one month result is extensible to a peak-shaped performance curve.
TIPPING POINT OF ERRORS
LEVEL OF STRESS
OPTIMALPERFORMANCE
PERF
ORM
ANCE
TIPPING POINT OF ERRORS
CONSEQUENCESWrong decisions based on one measurement lead to wrong conclusions
Even straight lines may bifurcate(Branch out) into two or more lines
Human performance might bifurcate into different paths at certain tensed situation.
Assumptions of straight line Continuity is wrong.
TIME
PERFORMANCE TENSION POINT
STABLE
STABLE
UNSTABLE
STABLE
PERF
ORM
ANCE
LINEAR PERFORMANCE
PERFORMANCE SWINGING BETWEEN TWO LEVELS
1ST LEVEL
2ND LEVELTWO LEVELS OF PERFORMANCE
There is no predictable correlation between the past behaviors of the
system to its future behavior.
UNPREDICTABLE PERFORMANCE
The performance of employees doesnot progress necessarily in
A linear fashion
Interaction of employees may lead to the emergence of new behaviors and attitudes.
FURTHER CONSEQUENCES
Interaction of employees may lead to the emergence of new behaviors and attitudes.
For example, a new team member may not produce his best initially.
He/she has to acclimatize with the new work environment. His/ her early performance is below bar. Extending this performance linearly to the future will be misleading.
FURTHER CONSEQUENCES
EXTENSIONTO TEAM MANAGEMENT
May be we need to look at teams in a new perspective that is not based on the forming, storming, norming, performing and adjourning stages (tuckman’s model)
TEAMS ARE SOCIAL PHENOMENAA MODIFIED TUCKMAN’S MODEL
CLOSENESS
AWARENESS
CONSIDERATION
PERFORMANCE
CONVERSION
Awareness Of The NewWorking Climate
ConsiderationFor Other Team MembersAnd Work Requirements
Conversion Of Attitude
Closeness Among TeamsMembers Strengthens. And So
Performance Builds Up
COMPLEXITY OF TEAMSInteractions of team members are complex. Some team members have the ingredients of pulling information and sending it to others
Some are experts in pulling information, but not in sharing it
Some are poor in pulling information, but good at sharing the little information they pulled
Some are poor in pulling and sharing information
COMPLEXITY OF TEAMS
A
C
BC PUSHES OUT INFORMATION C PULLS IN IN
FORMATION
Even paul allen, the cofounder of microsoft, wrote in his autobiography, "a great programmer can outproduce an average one by ten to one; with a genius, the ratio might be fifty to one."
I would reinterpret this as a 'power law view of employee value'.
Http://cavqm.Blogspot.Com/2011/12/normality-assumptions-and-power-law.Html
How team members use their time affects individual
and overall team performance
In a learning team,when a team member gets smarter,all team members can get smarter.
SMARTNESS HAS A RIPPLING EFFECT
In a learning organization individual performance is linked to team
performance
How team members use their time affects individual and overall team
performance
Interruptions follow a powerLaw distribution as well
TIME BETWEEN INTERRUPTIONS2 HOURS 0 SECONDS
THE TWITTER CURVE
WID
ESPR
EAD
ADOP
TION
2007
1980
We are entering increasingly into power law distribution.
Paradoxically, some base their evaluations on one measurement- and draw conclusions from one point.
This is management by wrong assumptions
Thanks to MAR AL-HUSSENI
For his help in the graphics