Experiments in IS research

Bullet Points

CUHK-DSME6622: Advanced MIS Research Seminar

  1. Proposal each course (10 min each);
  2. There is reading list;
  3. About Econometrics of IS;


  1. How to design experiments:
  1. COS Analysis? Baseline?
  2. Randomization ~ statistical test
  3. Regression discontinuity design
  4. Theoretical Modeling vs behavior vs experiment vs empirical
  5. How do we identify the way we want to ~ social psychology ~ mental mapping
  6. impact of technology ~ topic is moving on ~ some of the topics are already understood ~ do good literature review
  7. treatment? ~ control? ~ outcome0
  8. Difference in differences (DID): before & after treatment, well controlled


Firefox extensions update classification

  1. Firefox web browser (open source platform)~ extensions or add-ons
  2. Classification : open or close source
  3. Mechanism? ~ size or role of users
  4. Output: influence : positive or negative
  5. Rapid release strategy vs traditional way
  6. cross? experimental design
  7. whether the add-on supplier update their products in response to the rapid release of Firefox platform?
  8. 1 observation: add-on version number?

Review/online experiment0

  1. Treatment: hit of newest review / high-quality
  2. Control : no review
  3. Social psychology ~ ab test? ~ Online experiment, see Web-based experiments

Economic analysis of social interactions1

  1. Charles F.Manski, Journal of Economic
  2. Empirical analysis
  3. mutually exclusive but collectively exhaustive11
  4. 3 effects

Paying not to go to the gym2

  1. consumer behavior -> maximize utility (rational expectation vs irrational)
  2. theoretical prediction & empirical testing & survey
  3. behavior IO?
  4. Personal view:
  • How to quantify the utility function?
  • not like financial product: stock, bond or derivatives, the utility of going to gym should also include non-economic factor (price), such as the potential chance of keeping the right of going to gym

Observational Learning: Evidence from a Randomized Natural Field Experiment3

  1. One restaurant: whether the randomization is not good enough?
  2. Control group: pre-experiment data, one week
  3. Raking treatment table vs salience treatment table
  4. One week data
  5. Difference-in-difference-in-differences (DDD)31
  6. Coincidence, observational learning (learn the quality, more about yourself)
  7. conformity (more from others), compliance, salience32

The Spread of Behavior in an Online Social Network Experiment4

  1. Small world network model
  2. Network vs photonics??
  3. Social reinforcement
0. Treatment and control groups
1. Manski, C. (2000). Economic analysis of social interactions. Journal of Economic Perspectives, 115–136.
11. Quora|What’s the difference between mutually exclusive events and collectively exhaustive events?
2. DellaVigna, S., & Malmendier, U. (2006). Paying not to go to the gym. American Economic Review, 96(3), 694–719.
3. Cai, H., Chen, Y., & Fang, H. (2009). Observational Learning: Evidence from a Randomized Natural Field Experiment. American Economic Review.
31. CrossValidated|Difference-in-difference-in-differences estimator
32. Chapter 7: Conformity,Compliance, and Obedience
4. Centola, D. (2010). The Spread of Behavior in an Online Social Network Experiment. Science, 329(5996), 1194–1197.
-------------End of postThanks for your time-------------
BaoDuGe_飽蠹閣 wechat
Enjoy it? Subscribe to my blog by scanning my public wechat account