Session 3: Causal Modeling

Topics: Theoretical and empirical modeling

Formal modeling and computer simulation

- a model is a model (Knudsen, Levinthal & Puranam, 2019)

- bounded rationality models (Puranam, Stiglitz, Osman & Pillutla, 2015)

- NK modeling example (Chen, Kaul & Wu, 2017

Complex Adaptive Systems (CAS) models (Dooley, 2021)

- empirical modeling of dynamical systems and far-from-equilibrium (FFE) empirical models

- empirical modeling example (Cheng & Van de Ven, 1996)

Required Readings

• 1. Knudsen, Levinthal & Puranam (2019). Editorial: A Model Is a Model. Strategy Science 4 (1):1-3.

  2. Harrison, Carroll & Carley (2007). Simulation modeling in organizational and management research, AMR 32 (4) 1229-1245.

  3. Puranam, Stieglitz, Osman & Pillutla, (2015). Modelling bounded rationality in organizations: Progress and prospects. Academy of Management Annals, 9 (1), 337-392.

  4. Dooley. (2021). Conceptualizing Organizational Change through lens of complexity science, Handbook Chapter 20

Examples:

• 1. Chen., Kaul,. & Wu (2019). Adaptation across multiple landscapes, SMJ, 40: 1791-1821.

  2. Cheng & Van de Ven (1996) Learning the innovation journey: Order out of chaos? Organization Science, 7, 6: 593-614.

View video on modeling

• • STR PDW on formal modeling Aug. 2020: https://youtu.be/0xATtwjXA28

See class slides

Complete worksheet on designing a simulation model

• Example of Simulation Design by Jooyoun Shin (2021)

Submit your questions/comments about video and readings for Session 3 on Modeling