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Modelling agent interdependency in group decision making

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  • Rose, J.
  • Hensher, D. A.

Abstract

This paper establishes the rationale for a method that recognises the interdependency of choices made by two or more agents, known as interactive agency choice experiments (IACEs), and the behavioural implications of maintaining the assumption of agency exogeneity in discrete choice models. We model the interdependent decision making process using the IACE method to illustrate how to capture information on preferences for members of a decision making group. An empirical study of employee and employer choices of distributive work practices highlights the role that other agents play in influencing the decisions of individual agents. The IACE reveals barriers to agency choice that can be better understood and minimised by each agent having more information on the other agent's preferences and willingness to cooperate that is lacking in the agent-independence modelling framework.

Suggested Citation

  • Rose, J. & Hensher, D. A., 2004. "Modelling agent interdependency in group decision making," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(1), pages 63-79, January.
  • Handle: RePEc:eee:transe:v:40:y:2004:i:1:p:63-79
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    Citations

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    Cited by:

    1. Ho, Chinh & Mulley, Corinne, 2015. "Intra-household Interactions in tour-based mode choice: The role of social, temporal, spatial and resource constraints," Transport Policy, Elsevier, vol. 38(C), pages 52-63.
    2. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
    3. David Hensher & Sean Puckett & John Rose, 2007. "Extending stated choice analysis to recognise agent-specific attribute endogeneity in bilateral group negotiation and choice: a think piece," Transportation, Springer, vol. 34(6), pages 667-679, November.
    4. Palvinder Singh & Rajesh Paleti & Syndney Jenkins & Chandra Bhat, 2013. "On modeling telecommuting behavior: option, choice, and frequency," Transportation, Springer, vol. 40(2), pages 373-396, February.
    5. Zhang, Junyi & Fujiwara, Akimasa, 2006. "Representing household time allocation behavior by endogenously incorporating diverse intra-household interactions: A case study in the context of elderly couples," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 54-74, January.
    6. Masashi Okushima, 2015. "Simulating social influences on sustainable mobility shifts for heterogeneous agents," Transportation, Springer, vol. 42(5), pages 827-855, September.
    7. Emeric Lendjel, 2013. "Pre- and end-haulage of containers in shipping chains: the neglected role of transaction costs in shippers' modal choices," Working Papers halshs-00978091, HAL.
    8. Emeric Lendjel, 2013. "Pre- and end-haulage of containers in shipping chains: the neglected role of transaction costs in shippers' modal choices," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00978091, HAL.

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