Advanced Orga 2

Part 1: Workshops done by consulting firm 

Mixed teams not in the same department

• Effective and peaceful communication
• vulnerability excersise
• understanding other points of view 
• learning to rely on each others

Part 2: 8 week project development program in own department

in turkey

Artefacts

Espoused Values= what the company announces what is important for them

(Problems occur if its not the same, Artefacts and Espoused Values)

Basic underlying assumptions (unconscious, taken for granted)

Change of culture takes 7 years, but often not event the way that is wanted

 control treatment: normal training as described in background (orientation day, voice training, process training, supervision)

Individual treamtent: Speach by Wipro Leader about expressing oneself at Wipro, Lost at sea exercise (rank them), Answering questions to individuality (born to act, describe yourself as individual), Present themself to future work group, Fleece shirt and badge with their name on them. Were asked to wear them during 2 weeks training.

Organizational identity: Senior leader speach about values and organization, Star Performer speach about values of organization; Questions about organizational values (how can you fit in here in this organization), Receive fleece and batch with company name on it.

 

Distributions of costumer account:
- in account 4 only people from organizational treatment. --> was not planned. we might find an account effect and not a treatment effect.
In Account 1 no organizational treatment --> in the end they only analyzed account 2&3, where there were all groups present.

p/(1-p)

Probability

+ shows trust in employees
+ less travel time
+ less office space - save rent

- less interaction --> Team building
- less possible to introduce to company culture
- Company Culture
 

• run in china
• call center agent travel agency
• call center agent all sitting together in one area
• before intervention nobody was allowed to work at home
• average commuting (pendeln) time was 80 min
• teamleaders padrol the aisle
• in this case easy to monitor/measure how much they worked at home individually
• programm lasted for 9 month
• made questionaire who wants to work from home? (own bedroom, daily commute, less tenure, less long education, higher wage)
• people who wanted to work from home and fulfilled requirements where put in CG and TG.
• Treatment: 
  • Still supervised by teamleader, still office. 4 days at home a week
  • it was not possible to switch out of homeoffice within 9 month (maybe good so the inproductive could still stay at home, to have better picture)
• Randomization: even birthdate --> treatment group in a ceremony of the chairman. + everyone knows its really random. -everyone knows they take part in experiment -you lost the lottery if you are in control group.
• Results:
  • treatment group significantly better. mostly because people worked longer--> after experiment everyone could choose. 
  • does treatment have incluence on promotion probability? no significance. But if ou had higher performance, you are more likely to get promoted. if we control for performance, changes of getting promoted in CG are higher.
• Conclusion

7. Have the skinn in the game = means they have invested already in something related to the experiment

8. Run the field experiment yesterday rather than tomorrow (someone who supports you might leave)

9. Change nature of the discussion about the cost of the experiment ("What does it cost if we dont run the experiment?")

10. Make clear that you dont have all the answers (be honest)

11. Be open about running experiments that might not provide high powered research findings in the short run

12. Dont be captured by the organization

13. Understand fairness concerns
14: Obtain IRB approval

Experiment with 2 players. One can give amount between 1 and 10 chf and keep the rest. 

Correlation: a change in the level of one variable is accompanied by a change in the level of another variable

Causality: A change in the level of one variable causes a change in the other variable

Observational data: is pure correlation data. --> Endogeneity 

The independet variable correlates with the error term e. 

Omitted variables are often reason for this to happen.

- Use advanced econometrics

- Do experiments

- include all variables that have an effect of independet variable

if members are not randomly asssigned to treatment group and control group, there could be differences in the group, which could be a variable that correlates with the independet variable. we would therefore not now, if an experiment outcome is happening because of the variable we want to test or the difference between the group. --> characteristics that cannot be controlled are distributed independently from treatment. 

randomization is important to have as similar group as possible and the only change between the treatment group and the control group should be the variable we want to test.

subjects alter their behaviour in experiments because they know they are being observed

Subjects act the way they perceive the experimenter wants them to behave.

- subjects know they take part in experiment 

hawthrone effect: they act different because they are observed

experimenter demand effect: subject at aligned with what the perceived desire of the researcher is

selection bias in the decision to take part in experiment: more risk seeking people who like challenges. if these characteristics have effect on experiment, the treatment will be overestimated.

Informed consent in the us.

in europe rules are more diverse