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American vs German Teams: The Case of Human Resources Consumption

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Multi-Agent-Based Simulation XIX (MABS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11463))

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Abstract

Teams are compulsive consumers of human resources from companies. This type of resources has associated the spending of money. There are two distinct types of teams: American and German. These two highly distinct models have specific characteristics that shape their patterns and dynamics. One characteristic that has been understudied in the literature is the resources consumption. To understand this issue, a multi-agent based model was developed to analyse each type of teams according to specific and critical aspects. After several simulations, it could be observed that German teams despite their focus on efficiency, were more compulsive consumers of human resources than American ones. The article also looks at hybrid teams where companies have a mix of both models. These teams tended to display more similarities with the German rather than the American model.

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References

  1. Geroski, P., Machin, S., Reenen, J.: The profitability of innovating firms. RAND J. Econ. 24, 198–211 (1993)

    Article  Google Scholar 

  2. Czarnitzki, D.: An empirical test of the asymmetric models on innovative activity: who invests more into R&D, the incumbent or the challenger? J. Econ. Behav. Organ. 54, 153–173 (2004)

    Article  Google Scholar 

  3. Grant, R.: Toward a knowledge-based theory of the firm. Strateg. Manag. J. 17, 109–122 (1996)

    Article  Google Scholar 

  4. McEvily, S., Chakravarthy, B.: The persistence of knowledge-based advantage: an empirical test for product performance and technological knowledge. Strateg. Manag. J. 23, 285–305 (2002)

    Article  Google Scholar 

  5. Darwin, C.R.: The Origin of Species. The Harvard Classics, vol. XI. P.F. Collier & Son 1909–14, New York (2001). Bartleby.com. www.bartleby.com/11/

  6. Guimera, R., Uzzi, B., Spiro, J., Amaral, L.: Team assembly mechanisms determine collaboration network structure and team performance. Science 308(5722), 697–702 (2005)

    Article  Google Scholar 

  7. Granovetter, M.: The strengthen of weak ties. Am. J. Sociol. 78, 1360 (1973)

    Article  Google Scholar 

  8. Reagans, R., Zuckerman, E.: Networks, diversity, and productivity: the social capital of corporate R&D teams. Organ. Sci. 12, 502 (2001)

    Article  Google Scholar 

  9. Burt, R.: Structural Holes and Good Ideas. Am. J. Sociol. 110, 349 (2004)

    Article  Google Scholar 

  10. Uzzi, B., Spiro, J.: Collaboration and creativity: the small world problem. Am. J. Sociol. 111(2), 447–504 (2005)

    Article  Google Scholar 

  11. Larson, J., Christensen, C., Abbott, A., Franz, T.: Diagnosing groups: charting the flow of information in medical decision-making teams. J. Pers. Soc. Psychol. 71, 315 (1996)

    Article  Google Scholar 

  12. Edmondson, A.: Psychological safety and learning behavior in work teams. Adm. Sci. Q. 44, 350 (1999)

    Article  Google Scholar 

  13. Strasser, G., Stewart, D., Wittenbaum, G.: Expert roles and information exchange during discussion: the importance of knowing who knows what. J. Exp. Soc. Psychol. 31, 244 (1995)

    Article  Google Scholar 

  14. Katzenback, J., Smith, D.: The Wisdom of Teams - High Performance Teams. Harvard Business School Press, Harvard (1993)

    Google Scholar 

  15. Lehmann-Willenbrock, N., Allen, J.A., Meinecke, A.L.: Observing culture: differences in US-American and German team meeting behaviors. Group Processes Intergroup Relat. 17(2), 252–271 (2014)

    Article  Google Scholar 

  16. Tadmor, C.T., Satterstrom, P., Jang, S., Polzer, J.T.: Beyond individual creativity: the super additive benefits of multicultural experience for collective creativity in culturally diverse teams. J. Cross Cult. Psychol. 43, 384–392 (2012). https://doi.org/10.1177/0022022111435259

    Article  Google Scholar 

  17. Hofstede, G.: Culture’s Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations, 2nd edn. Sage Publications, Thousand Oaks (2001)

    Google Scholar 

  18. Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (1999). http://ccl.northwestern.edu/netlogo/

  19. Bakshy, E., Wilensky, U.: NetLogo Team Assembly Model. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (2007). http://ccl.northwestern.edu/netlogo/models/TeamAssembly

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Correspondence to Nuno Trindade Magessi or Luis Antunes .

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Magessi, N.T., Antunes, L. (2019). American vs German Teams: The Case of Human Resources Consumption. In: Davidsson, P., Verhagen, H. (eds) Multi-Agent-Based Simulation XIX. MABS 2018. Lecture Notes in Computer Science(), vol 11463. Springer, Cham. https://doi.org/10.1007/978-3-030-22270-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-22270-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22269-7

  • Online ISBN: 978-3-030-22270-3

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