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Change one can believe in: Adding learning to computational models of self-regulation

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  • Vancouver, Jeffrey B.
  • Weinhardt, Justin M.
  • Vigo, Ronaldo

Abstract

Theories of self-regulation describe motivation as a dynamic process of goal choice and goal striving. To facilitate those processes, individuals learn about themselves and their environment, which is an internal dynamic process. However, the precise nature of the relationship between these learning and motivational processes is not well specified. This article integrates formal models of learning, goal choice, and goal striving using a single information processing structure found in self-regulatory models of motivation. Results from two published studies (DeShon & Rench, 2009; Schmidt & DeShon, 2007) validate the model. In both cases, the integrated model accounts for findings that previous theories of self-regulation could not explain. Discussion focuses on additional tests to validate the model and on the value of incorporating formal models from the cognitive, learning, and motivational literatures to account for behavior in complex settings and over time.

Suggested Citation

  • Vancouver, Jeffrey B. & Weinhardt, Justin M. & Vigo, Ronaldo, 2014. "Change one can believe in: Adding learning to computational models of self-regulation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(1), pages 56-74.
    • Handle: RePEc:eee:jobhdp:v:124:y:2014:i:1:p:56-74
    DOI: 10.1016/j.obhdp.2013.12.002
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    References listed on IDEAS

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    1. Katja Möhring & Alexander Schmidt, 2012. "Multilevel tools," German Stata Users' Group Meetings 2012 06, Stata Users Group.
    2. Cronin, Matthew A. & Gonzalez, Cleotilde & Sterman, John D., 2009. "Why don't well-educated adults understand accumulation? A challenge to researchers, educators, and citizens," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(1), pages 116-130, January.
    3. Jeffrey B. Vancouver & Charles A. Scherbaum, 2008. "Do we self-regulate actions or perceptions? A test of two computational models," Computational and Mathematical Organization Theory, Springer, vol. 14(1), pages 1-22, March.
    4. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    5. repec:cup:judgdm:v:2:y:2007:i::p:137-168 is not listed on IDEAS
    6. Gibson, Faison P. & Fichman, Mark & Plaut, David C., 1997. "Learning in Dynamic Decision Tasks: Computational Model and Empirical Evidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 71(1), pages 1-35, July.
    7. Louro, M.J.S. & Pieters, R. & Zeelenberg, M., 2007. "Dynamics of multiple goal pursuit," Other publications TiSEM fcfc1f8f-6eae-41bb-af23-0, Tilburg University, School of Economics and Management.
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    Cited by:

    1. Hardy, Jay H. & Day, Eric Anthony & Hughes, Michael G. & Wang, Xiaoqian & Schuelke, Matthew J., 2014. "Exploratory behavior in active learning: A between- and within-person examination," Organizational Behavior and Human Decision Processes, Elsevier, vol. 125(2), pages 98-112.
    2. Gee, Phillip & Neal, Andrew & Vancouver, Jeffrey B., 2018. "A formal model of goal revision in approach and avoidance contexts," Organizational Behavior and Human Decision Processes, Elsevier, vol. 146(C), pages 51-61.

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