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Decision-Making in a Real-Time Business Simulation Game: Cultural and Demographic Aspects in Small Group Dynamics

Author

Listed:
  • Johanna Bragge

    (Aalto University School of Business, Department of Information and Service Economy, Information Systems Science P.O. Box 21220, 00076 AALTO, Helsinki, Finland)

  • Henrik Kallio

    (Aalto University School of Business, Department of Information and Service Economy, Information Systems Science P.O. Box 21220, 00076 AALTO, Helsinki, Finland)

  • Tomi Seppälä

    (Aalto University School of Business, Department of Information and Service Economy, Information Systems Science P.O. Box 21220, 00076 AALTO, Helsinki, Finland)

  • Timo Lainema

    (Turku School of Economics at University of Turku, Department of Management and Entrepreneurship, Information Systems Science/Pedagogical Sciences, Rehtorinpellonkatu 3, 20500 Turku, Finland)

  • Pekka Malo

    (Aalto University School of Business, Department of Information and Service Economy, Information Systems Science P.O. Box 21220, 00076 AALTO, Helsinki, Finland)

Abstract

Simulated virtual realities offer a promising but currently underutilized source of data in studying cultural and demographic aspects of dynamic decision-making (DDM) in small groups. This study focuses on one simulated reality, a clock-driven business simulation game, which is used to teach operations management. The purpose of our study is to analyze the characteristics of the decision-making groups, such as cultural orientation, education, gender and group size, and their relationship to group performance in a real-time processed simulation game. Our study examines decision-making in small groups of two or three employees from a global manufacturing and service operations company. We aim at shedding new light on how such groups with diverse background profiles perform as decision-making units. Our results reveal that the profile of the decision-making group influences the outcome of decision-making, the final business result of the simulation game. In particular, the cultural and gender diversity, as well as group size seem to have intertwined effects on team performance.

Suggested Citation

  • Johanna Bragge & Henrik Kallio & Tomi Seppälä & Timo Lainema & Pekka Malo, 2017. "Decision-Making in a Real-Time Business Simulation Game: Cultural and Demographic Aspects in Small Group Dynamics," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 779-815, May.
    • Handle: RePEc:wsi:ijitdm:v:16:y:2017:i:03:n:s0219622017500171
    DOI: 10.1142/S0219622017500171
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    References listed on IDEAS

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    1. Wolfe, Joseph & Guth, Gary R, 1975. "The Case Approach versus Gaming in the Teaching of Business Policy: An Experimental Evaluation," The Journal of Business, University of Chicago Press, vol. 48(3), pages 349-364, July.
    2. Sander Hoogendoorn & Hessel Oosterbeek & Mirjam van Praag, 2013. "The Impact of Gender Diversity on the Performance of Business Teams: Evidence from a Field Experiment," Management Science, INFORMS, vol. 59(7), pages 1514-1528, July.
    3. Morteza Ghobakhloo & Sai Hong Tang & Mohammad Sadegh Sabouri & Norzima Zulkifli, 2014. "The Impact of Information System-Enabled Supply Chain Process Integration on Business Performance: A Resource-Based Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(05), pages 1075-1113.
    4. Azmat, Ghazala & Petrongolo, Barbara, 2014. "Gender and the labor market: What have we learned from field and lab experiments?," Labour Economics, Elsevier, vol. 30(C), pages 32-40.
    5. Azmat, Ghazala & Petrongolo, Barbara, 2014. "Gender and the labor market: What have we learned from field and lab experiments?," Labour Economics, Elsevier, vol. 30(C), pages 32-40.
    6. F. Javier Lerch & Donald E. Harter, 2001. "Cognitive Support for Real-Time Dynamic Decision Making," Information Systems Research, INFORMS, vol. 12(1), pages 63-82, March.
    7. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    8. Jose Apesteguia & Ghazala Azmat & Nagore Iriberri, 2012. "The Impact of Gender Composition on Team Performance and Decision Making: Evidence from the Field," Management Science, INFORMS, vol. 58(1), pages 78-93, January.
    9. Kaileigh Byrne & Darrell Worthy, 2015. "Gender differences in reward sensitivity and information processing during decision-making," Journal of Risk and Uncertainty, Springer, vol. 50(1), pages 55-71, February.
    10. Javier García & Fernando Borrajo & Fernando Fernández, 2012. "Reinforcement Learning For Decision-Making In A Business Simulator," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 935-960.
    11. Bongsug Kevin Chae & David L. Olson, 2013. "Business Analytics For Supply Chain: A Dynamic-Capabilities Framework," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 9-26.
    12. David Strutton & William Carter, 2013. "Reducing Biases in Cross-Cultural Top Management Team Decision-Making Processes," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 4(3), pages 1-13, May.
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