Chaotic dynamics and team effectiveness: Evidence from professional basketball

European Journal of Work and Organizational Psychology

Volumn 21, Issue 5, 2012, Pages 778-802

  Ramos Villagrasa, Pedro J ^a   Navarro, José ^b   García Izquierdo, Antonio L ^a  

^a UNIVERSITY OF OVIEDO   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Basketball; Complex adaptive systems; Nonlinear dynamical systems theory; Team effectiveness; Team stability

Indexed keywords

EID: 84875690801     PISSN: 1359432X     EISSN: 14640643     Source Type: Journal    
DOI: 10.1080/1359432X.2012.669525     Document Type: Article

References (71)

1. Ancona, D. G., Goodman, P. S., Lawrence, B., & Tushman, M. L. (2001). Time: A new research lens. Academy of Management Review, 26, 645–683.
2. Arrieta, C., Navarro, J., & Vicente, S. (2008). Factores asociados a la emergencia de patrones diferenciales de la motivacio´n en el trabajo [Variables related to the emergence of differential patterns in work motivation]. Psicothema, 20, 745–752.
3. Arrow, H., & McGrath, J. E. (1995). Membership dynamics in groups at work: A theoretical framework. In B. M. Staw & L. L. Cummings (Eds.), Research in organizational behavior (Vol. 17, pp. 373–411). Greenwich, CT: JAI Press.
4. Arrow, H., McGrath, J. E., & Berdahl, J. L. (2000). Small groups as complex systems: Formation, coordination, development, and adaptation3. Thousand Oaks, CA: Sage.
5. Arrow, H., Poole, M. S., Henry, K. B., Wheelan, S., & Moreland, R. (2004). Time, change, and development: the temporal perspective on groups. Small Group Research, 35, 73–105.
6. Bak, P. (1991). How nature works: The science of self-organised criticality. New York, NY: Copernicus Press.
7. Barnes, C. M., & Morgeson, F. P. (2007). Typical performance, maximal performance and performance variability: Expanding our understanding of how organisations value performance. Human Performance, 20, 259–274.
8. Berman, S., Down, J., & Hill, C. (2002). Tacit knowledge as a source of competitive advantage in the National Basketball Association. Academy of Management Journal, 45, 13–31.
9. Bourbousson, G., Poizat, J., Saury, J., & Seve, C. (2011). Description of dynamic shared knowledge: An exploratory study during a competitive team sports interaction. Ergonomics, 54, 120–138.
10. Browne, M. A., & Mahoney, M. J. (1984). Sport psychology. Annual Review of Psychology, 35, 605–625.
11. Campbell, J. P., McCloy, R. A., Oppler, S. H., & Sager, C. E. (1993). A theory of performance. In N. Schmitt & W. C. Borman (Eds.), Personnel selection in organisations (pp. 35–70). San Francisco, CA: Jossey-Bass.
12. Carron, A. V., & Brawley, L. R. (2008). Group dynamics in sport and physical activity. In T. S. Horn (Ed.), Advances in sport psychology (pp. 213–237). Champaign, IL: Human Kinetics.
13. Ceja, L., & Navarro, J. (2011). Dynamic patterns of flow in the workplace: Characterizing within-individual variability using a complexity science approach. Journal of Organizational Behavior, 32, 627–651.
14. Chatfield, C. (1996). The analysis of time series: an introduction. New York, NY: Chapman & Hall.
15. Cheng, Y. T., & van de Ven, A. H. (1996). Learning the innovation journey: Order out of chaos? Organization Science, 7, 593–614.
16. Conroy, D. E., Kaye, M. P., & Schantz, L. H. (2008). Quantitative research methodology. In T. S. Horn (Ed.), Advances in sport psychology (pp. 15–30). Champaign, IL: Human Kinetics.
17. Cummings, T., & Blumberg, M. (1987). Advanced manufacturing technology and work design. In T. Wall, C. Clegg & N. Kemp (Eds.), The human side of advanced manufacturing technology (pp. 37–60). Chichester, UK Wiley.
18. Davids, K., Araujo, D., & Shuttleworth, R. (2005). Applications of dynamical systems theory to football. In T. Reilly, J. Cabri, & D. Araújo (Eds.), Science and football (Vol. V, pp. 537– 550). London, UK: Routledge.
19. Davids, K., Vilar, L., Travassos, B., & Aráujo, D. (2010). Ball and goal location as constraints on decision making in team sports. Journal of Science and Medicine in Sport, 13S, e89. doi:10.1016/j.jsams.2010.10.650
20. Dirks, K. T. (2000). Trust in leadership and team performance: Evidence from NCAA basketball. Journal of Applied Psychology, 85, 1004–1012.
21. Freeman, W. J. (1991). The physiology of perception. The Scientific American, 264, 78–85.
22. García-Izquierdo, A. L., Ramos-Villagrasa, P. J., & Navarro, J. (in press). Dynamic criteria: A longitudinal analysis of professional basketball players’ outcomes. Spanish Journal of Psychology.
23. Gell-Mann, M. (1994). The quark and the jaguar. New York, NY: Freeman.
24. Goldberger, A. L. (1991). Is the normal heartbeat chaotic or homeostatic? News in Physiological Sciences, 6, 87–91.
25. Gorman, J. C., Amazeen, P. G., & Cooke, N. J. (2010). Team coordination dynamics. Nonlinear Dynamics, Psychology, and Life Sciences, 14, 265–289.
26. Guastello, S. J. (2010). Nonlinear dynamics of team performance and adaptability in emergency response. Human Factors, 52, 162–172.
27. Guastello, S. J., Bock, B., Caldwell, P., & Bond, R. W., Jr. (2005). Origins of group coordination: Nonlinear dynamics and the role of verbalization. Nonlinear Dynamics, Psychology, and Life Sciences, 9, 175–208.
28. Guastello, S. J., & Liebovitch, M. (2009). Introduction to nonlinear dynamics and complexity. In S. J. Guastello, M. Koopmans, & D. Pincus (Eds.), Chaos and complexity in psychology: The theory of nonlinear dynamical systems (pp. 1–40). New York, NY: Cambridge University Press.
29. Guzzo, R. A., & Dickson, M. W. (1996). Teams in organizations: Recent research on performance and effectiveness. Annual Review of Psychology, 47, 307–338.
30. Heath, R. A. (2000). Nonlinear dynamics: Techniques and applications in psychology. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
31. Hegger, R., Kantz, H., & Schreiber, T. (2007). TISEAN: Nonlinear time series analysis 3.0 [Computer software]. Retrieved 1 March 2007 from http://www.mpipks-dresden.mpg.de/∼tisean/Tisean_3.0.1/index.html
32. Humphrey, S. E., Morgeson, F. P., & Mannor, M. J. (2010). Developing a theory of the strategic core of teams: A role composition model of team performance. Journal of Applied Psychology, 94, 48–61.
33. Ilgen, D. R., Hollenbeck, J. R., Johnson, M., & Jundt, D. (2005). Teams in organizations: From Input-Process-Output models to IMOI models. Annual Review of Psychology, 56, 517–543.
34. Kaplan, D. T., Furman, M. I., Pincus, S. M., Ryan, S. M., Lipsitz, L. A., & Golderberger, A. L. (1991). Aging and the complexity of cardiovascular dynamics. Biophysical Journal, 59, 945– 949.
35. Kauffman, S. A. (1993). The origins of order: Self-organization and selection in evolution. New York, NY: Oxford University Press.
36. Keil, C. T., & Cortina, J. M. (2001). Degradation of validity over time: A test and extension of Ackerman’s model. Psychological Bulletin, 127, 673–697.
37. Kononov, E. (2005). Visual recurrence analysis 4.8 [Computer software]. Retrieved 24 October 2006 from http://pweb.netcom.com/∼eugenek/
38. Kozlowski, S. W., & Ilgen, D. R. (2006). Enhancing the effectiveness of work groups and teams. Psychological Science in the Public Interest, 7, 77–124.
39. Kozlowski, S. W. J., & Bell, B. S. (2003). Work groups and teams in organizations. In W. C. Borman, D. R. Ilgen, & R. J. Klimoski (Eds.), Handbook of psychology Vol. 12. Industrial and organizational psychology (pp. 333–375). Hoboken, NJ: Wiley.
40. Landis, R. S. (2001). A note on the stability of team performance. Journal of Applied Psychology, 86, 446–450.
41. Lewin, R. (1993). Complexity: Life at the edge of chaos. London, UK: Phoenix.
42. Lorenz, E. N. (1993). The essence of chaos. Washington, WA: University of Washington Press.
43. Loy, J. W., McPherson, B. D., & Kenyon, G. S. (1978). Sport and social systems. Reading, MA: Addison-Wesley.
44. Mack, M. G., Huddleston, S., Dutler, K. E., & Mintah, J. K. (2000). Chaos theory: A new science for sport behavior? Athletic Insight: The Online Journal of Sport Psychology, 2, 8–16.
45. Mathews, K. M., White, M. C., & Long, R. G. (1999). Why study the complexity sciences in the social sciences? Human Relations, 52, 439–462.
46. Mathieu, J. E., Maynard, M. T., Rapp, T., & Gilson, L. (2008). Team effectiveness 1997–2007: A review of recent advancements and a glimpse into the future. Journal of Management, 34, 410–476.
47. McGrath, J. E. (1964). Social psychology: A brief introduction. New York, NY: Holt, Rinehart & Winston.
48. McGrath, J. E. (1991). Time, interaction and performance (TIP): A theory of groups. Small Group Research, 22, 147–174.
49. McGrath, J. E. (1997). Small group research, that once and future field: An interpretation of the past with an eye to the future. Group Dynamics: Theory, Research, and Practice, 1, 7–27.
50. McGrath, J. E., Arrow, H., & Berdahl, J. L. (2000). The study of groups: Past, present, and future. Personality and Social Psychology Review, 4, 95–105.
51. McGrath, J. E., Arrow, H., Gruenfeld, D. H., Hollingshead, A. B., & O’Connor, K. M. (1993). Groups, tasks, and technology: The effects of experience and change. Small Group Research, 24, 406–420.
52. Mitchell, T. R., & James, L. R. (2001). Building better theory: Time and the specification of when thing happen. Academy of Management Review, 26, 530–547.
53. Montanari, F., Silvestre, G., & Gallo, E. (2008). Team performance between change and stability: The case of the Italian ‘‘Serie A’’. Journal of Sport Management, 22, 701–716.
54. Muckler, F. A., & Seven, S. A. (1992). Selecting performance measures: ‘‘Objective’’ versus ‘‘subjective’’ measurement. Human Factors, 34(4), 441–455.
55. Navarro, J., & Arrieta, C. (2010). Chaos in human behavior: The case of work motivation. Spanish Journal of Psychology, 13, 244–256.
56. Nowak, A., & Vallacher, R. R. (1998). Dynamical social psychology. New York, NY: Guilford Press.
57. Passos, P., Davids, K., Araújo, D., Paz, N., Minguéns, J., & Mendes, J. (2011). Networks as a novel tool for studying team ball sports as complex social systems. Journal of Science and Medicine in Sport, 14, 170–176.
58. Pincus, D., Fox, K. M., Perez, K. A., Turner, J. S., & McGeehan, A. R. (2008). Nonlinear dynamics of individual and interpersonal conflict in an experimental group. Small Group Research, 39, 150–178.
59. Ramos-Villagrasa, P. J., & García-Izquierdo, A. L. (2011). Técnicas de análisis de patrones cao´ticos en Psicologıá [Techniques for analysing chaotic patterns: A review of empirical studies in psychology]. Anales de Psicologıá, 27, 239–248.
60. Richards, D. (1990). Is strategic decision making chaotic? Behavioral Science, 35, 219–232.
61. Roe, R. A. (2008). Time in applied psychology: The study of ‘‘what happens’’ rather than ‘‘what is’’. The European Psychologist, 13, 37–52.
62. Salas, E., Dickinson, T. L., Converse, S. A., & Tannenbaum, S. L. (1992). Toward an understanding of team performance and training. In R. W. Swezey & E. Salas (Eds.), Teams: Their training and performance (pp. 3–29). Norwood, NJ: Ablex.
63. Salas, E., Rosen, M. A., Burke, C. S., & Goodwin, G. F. (2009). The wisdom of collectives in organizations: An update of the teamwork competencies. In E. Salas, G. F. Goodwin, & C. S. Burke (Eds.), Team effectiveness in complex organizations: Cross-disciplinary perspectives and approaches (pp. 39–79). New York, NY: Psychology Press.
64. Sprott, J. C., & Rowlands, G. (1995). Chaos data analyzer: The professional version. PC user’s manual. New York, NY: American Institute of Physics.
65. Stewart, G. L, & Nandkeolyar, A. K. (2007). Exploring how constraints created by other people influence intraindividual variation in objective performance measures. Journal of Applied Psychology, 92(4), 1149–1158.
66. Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., & Farmer, J. D. (1992). Testing for nonlinearity in time series: The method of surrogate data. Physica D, 58, 77–94.
67. Wall, T. D., Cordery, J. L., & Clegg, C. W. (2002). Empowerment, performance and operational uncertainty: A theoretical integration. Applied Psychology: An International Review, 51, 146–169.
68. Weick, K., & Gilfillan, D. (1971). Fate of arbitrary traditions in a laboratory microculture. Journal of Personality and Social Psychology, 17, 179–191.
69. Wheelan, S. A., & Williams, T. (2003). Mapping dynamic interaction patterns in work groups. Small Group Research, 34, 443–467.
70. Wolfe, R., Weick, K., Usher, J., Terborg, J., Poppo, L., Murrell, A., et al. (2005). Sport and organizational studies: Exploring synergy. Journal of Management Inquiry, 14, 182–210.
71. Zimmerman, B., Lindberg, C., & Plsek, P. (2001). Edgeware: Insights from complexity sciences for health care leaders. Irving, TX: VHA, Inc. Retrieved from http://www.plexusinstitute. org/edgeware/archive/think