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Integrating Compensatory and Noncompensatory Decision-Making Strategies in Dynamic Task Environments

In: Decision Modeling and Behavior in Complex and Uncertain Environments

Author

Listed:
  • Ling Rothrock

    (Pennsylvania State University)

  • Jing Yin

    (Pennsylvania State University)

Abstract

This chapter summarizes the ongoing work to analyze compensatory and noncompensatory decision-making behaviors using a common framework known as Brunswik's lens model. The authors begin with a survey of existing work in modeling compensatory decision-making behavior using the lens model and an overview of initial forays into noncompensatory modeling. An example is provided of an instance in which both compensatory and noncompensatory decision making may occur in the same task under different circumstances. Formulations of the lens models to account for both types of decision behaviors are then discussed followed by speculations on a consolidated framework to incorporate both models.

Suggested Citation

  • Ling Rothrock & Jing Yin, 2008. "Integrating Compensatory and Noncompensatory Decision-Making Strategies in Dynamic Task Environments," Springer Optimization and Its Applications, in: Tamar Kugler & J. Cole Smith & Terry Connolly & Young-Jun Son (ed.), Decision Modeling and Behavior in Complex and Uncertain Environments, pages 125-141, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-77131-1_6
    DOI: 10.1007/978-0-387-77131-1_6
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    Cited by:

    1. Gary E. Weissman & Kuldeep N. Yadav & Trishya Srinivasan & Stephanie Szymanski & Florylene Capulong & Vanessa Madden & Katherine R. Courtright & Joanna L. Hart & David A. Asch & Sarah J. Ratcliffe & M, 2020. "Preferences for Predictive Model Characteristics among People Living with Chronic Lung Disease: A Discrete Choice Experiment," Medical Decision Making, , vol. 40(5), pages 633-643, July.
    2. Jeong, Misun & Yang, Kiseol & Kim, HaeJung Maria & Min, Jihye, 2024. "Curation subscription box services: Implications for the pet industry," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    3. Ziwei Shu & Ramón Alberto Carrasco & Javier Portela García-Miguel & Manuel Sánchez-Montañés, 2022. "Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo," Mathematics, MDPI, vol. 10(12), pages 1-28, June.
    4. Milad Zamanifar & Timo Hartmann, 2021. "A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems," Environment Systems and Decisions, Springer, vol. 41(4), pages 633-650, December.

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