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Modeling and Analyzing Cultural Influences on Project Team Performance

Author

Listed:
  • Tamaki Horii

    (Stanford University)

  • Yan Jin

    (University of Southern California)

  • Raymond E. Levitt

    (Stanford University)

Abstract

Research on international joint ventures (IJV) finds managers experience difficulties in working with cross-cultural teams. Our research aims to understand how cultural differences between Japanese and American firms in IJV projects effect team performance through computational experimentation. We characterize culture and cultural differences using two dimensions: practices and values.Practices refer to each culture’s typical organization style, such as centralization of authority, formalization of communication, and depth of organizational hierarchy. Values refer to workers’ preferences in making task execution and coordination decisions. These preferences drive specific micro-level behavior patterns for individual workers. Previous research has documented distinctive organization styles and micro-level behavior patterns for different nations. We use a computational experimental design that sets task complexityat four levels and team experience independently at three levels, yielding twelve organizational contexts. We then simulate the four possible combinations of USvs.Japanese organization style and individual behavior in each context to predict work volume, cost, schedule andprocess quality outcomes. Simulation results predict that: (1) both Japanese and American teams show better performance across all contexts when each works with its familiar organization style; (2) the Japanese organization style performs better under high task complexity, with low team experience; and (3) process quality risk is not significantly affected by organization styles. In addition, culturally driven behavior patterns have less impact on project outcomes than organization styles. Our simulation results are qualitatively consistent with both organizational and cultural contingency theory, and with limited observations of US-Japanese IJV project teams.

Suggested Citation

  • Tamaki Horii & Yan Jin & Raymond E. Levitt, 2005. "Modeling and Analyzing Cultural Influences on Project Team Performance," Computational and Mathematical Organization Theory, Springer, vol. 10(4), pages 305-321, January.
  • Handle: RePEc:spr:comaot:v:10:y:2005:i:4:d:10.1007_s10588-005-6283-1
    DOI: 10.1007/s10588-005-6283-1
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    References listed on IDEAS

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    1. Jeremiah J Sullivan & Ikujiro Nonaka, 1986. "The Application of Organizational Learning Theory to Japanese and American Management," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 17(3), pages 127-147, September.
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    3. Richard M. Burton, 2003. "Computational Laboratories for Organization Science: Questions, Validity and Docking," Computational and Mathematical Organization Theory, Springer, vol. 9(2), pages 91-108, July.
    4. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    5. Raymond E. Levitt & Jan Thomsen & Tore R. Christiansen & John C. Kunz & Yan Jin & Clifford Nass, 1999. "Simulating Project Work Processes and Organizations: Toward a Micro-Contingency Theory of Organizational Design," Management Science, INFORMS, vol. 45(11), pages 1479-1495, November.
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    Citations

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    Cited by:

    1. Claudia Biancotti & Giovanni D'Alessio, 2008. "Values, inequality and happiness," Temi di discussione (Economic working papers) 669, Bank of Italy, Economic Research and International Relations Area.
    2. Catherine Durnell Cramton & Tine Köhler & Raymond E. Levitt, 0. "Using scripts to address cultural and institutional challenges of global project coordination," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 0, pages 1-22.
    3. Kent Wickstrøm Jensen & Dorthe Døjbak Håkonsson & Richard M. Burton & Børge Obel, 2010. "The effect of virtuality on the functioning of centralized versus decentralized structures—an information processing perspective," Computational and Mathematical Organization Theory, Springer, vol. 16(2), pages 144-170, June.
    4. Biancotti, Claudia & D'Alessio, Giovanni, 2007. "Inequality and Happiness," AICCON Working Papers 45-2007, Associazione Italiana per la Cultura della Cooperazione e del Non Profit.
    5. Na Zhao & Congcong Lei & Hui Liu & Chunlin Wu, 2022. "Improving the Effectiveness of Organisational Collaborative Innovation in Megaprojects: An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    6. Catherine Durnell Cramton & Tine Köhler & Raymond E. Levitt, 2021. "Using scripts to address cultural and institutional challenges of global project coordination," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(1), pages 56-77, February.
    7. Ronald E. Giachetti & Veronica Marcelli & José Cifuentes & José A. Rojas, 2013. "An agent‐based simulation model of human‐robot team performance in military environments," Systems Engineering, John Wiley & Sons, vol. 16(1), pages 15-28, March.

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