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A Nonlinear Dynamical System Perspective on Team Learning: The Role of Team Culture and Social Cohesion

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Abstract

This paper examines team learning within a nonlinear dynamical system (NDS) perspective. Research has successfully identified various conditions that promote learning behaviors in teams. In the present study, our focus is on the role played by team culture and by social cohesion as supporting conditions of team learning. Previous studies revealed that a culture oriented to learning tends to promote the adoption of team learning behaviors in the group. Results concerning the role played by social cohesion in team learning is, however, less clear. Indeed, while social cohesion might promote learning behaviors because it increases the willingness to work together and to help each other, high levels of social cohesion could also lead to uncritical acceptance of solutions. The complex relationship between social cohesion and team learning behaviors led us to study it under the NDS framework. Using the dynamic difference equation model, the present research proposes a cusp catastrophe model for explaining team learning, implementing the team culture as the asymmetry variable and social cohesion as bifurcation variable. The sample of the present research is constituted by 44 project workgroups, and data were collected at two moments of the life cycle (half-time and end) of teams, with single-item visual analogue scales. Results reveal that the cusp models are superior to the pre-post linear models by explaining a larger portion of the variance. In addition, the cubic term, the bifurcation effect and the asymmetry term are statistically significant. Social cohesion acts as a bifurcation factor, that is to say, beyond a certain threshold of social cohesion, groups that have the same cultural orientation might oscillate between two attractors, the modes of high and low learning behaviors respectively. These results suggest that a small variation of social cohesion causes the system to enter an area of unpredictability in terms of team learning, where sudden shifts in the outcomes might be expected. Leaders and members need to monitor the levels of social cohesion of the team, to avoid phenomena like groupthink, which jeopardizes the implementation of learning behaviors, such as the exploration of different opinions or error discussion.

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References

  1. Wilson, J.P.: Human Resource Development: Learning for individuals & organizations. Kogan Page, London (2001)

    Google Scholar 

  2. Mathieu, J.E., Tannenbaum, S.I., Donsbach, J.S., Alliger, G.M.: A review and Integration of team composition models moving toward a dynamic and temporal framework. J. Manag. 40, 130–160 (2014)

    Google Scholar 

  3. Decuyper, S., Dochy, F., Van Den Bossche, P.: Grasping the dynamic complexity of team learning: an integrative model for effective team learning in organisations. Educ. Res. Rev. 5, 111–133 (2010)

    Article  Google Scholar 

  4. Koeslag-Kreunen, M., Van den Bossche, P., Hoven, M., Van der Klink, M., Gijselaers, W.: When leadership powers team learning: a meta-analysis. Small Gr. Res. 49, 475–513 (2018)

    Article  Google Scholar 

  5. Sessa, V., London, M.: Group learning: an introduction. In: Sessa, V., London, M. (eds.) Work Group Learning. Understanding, Improving and Assessing How Groups Learn in Organizations, pp. 1–14. Lawrence Erlbaum, Mahwah (2008)

    Google Scholar 

  6. Edmondson, A.C., Dillon, J.R., Roloff, K.S.: Three perspectives on team learning. Acad. Manag. Ann. 1, 269–314 (2007)

    Article  Google Scholar 

  7. Edmondson, A.C.: Psychological safety and learning behavior in work teams. Admin. Sci. Quart. 44, 350–383 (1999)

    Article  Google Scholar 

  8. Guastello, S.J., Liebovitch, L.S.: Introduction to nonlinear dynamics and complexity. In: Guastello, S.J., Koopmans, M., Pincus, D. (eds.) Chaos and Complexity in Psychology: Theory of Nonlinear Dynamical Systems. The Cambridge University Press, Cambridge (2009)

    Google Scholar 

  9. Guastello, S.J.: Catastrophe modeling of equity in organizations. Behav. Sci. 26, 63–74 (2007)

    Article  Google Scholar 

  10. Dimas, I.D., Rebelo, T., Lourenço, P.R., Rocha, H.: A cusp catastrophe model for satisfaction, conflict, and conflict management in teams. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10961, pp. 335–350. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95165-2_24

    Chapter  Google Scholar 

  11. Gorman, J.C., Amazeen, P.G., Cooke, N.J.: Team coordination dynamics. Nonlinear Dyn. Psychol. Life Sci. 14, 265–289 (2010)

    Google Scholar 

  12. Guastello, S.J., Correro, A.N., Marra, D.E.: Cusp catastrophe models for cognitive workload and fatigue in teams. Appl. Ergon (2018)

    Google Scholar 

  13. Ramos-Villagrasa, P.J., Marques-Quinteiro, P., Navarro, J., Rico, R.: Teams as complex adaptive systems: reviewing 17 years of research. Small Gr. Res. 49, 135–176 (2018)

    Article  Google Scholar 

  14. Mathieu, J.E., Hollenbeck, J.R., van Knippenberg, D., Ilgen, D.R.: A century of work teams in the journal of applied psychology. J. Appl. Psychol. 102, 452–467 (2017)

    Article  Google Scholar 

  15. Rebelo, T., Stamovlasis, D., Lourenço, P.R., Dimas, I., Pinheiro, M.: A Cusp catastrophe model for team learning, team potency and team culture. Nonlinear Dyn. Psychol. Life Sci. 20, 537–563 (2016)

    MathSciNet  Google Scholar 

  16. Earley, P.C., Mosakowski, E.: Creating hybrid team cultures: an empirical test of transnational team functioning. Acad. Manag. J. 43, 26–49 (2000)

    Google Scholar 

  17. Schein, E.: Organizational Culture and Leadership, 2nd edn. Jossey-Bass, San Francisco (1992)

    Google Scholar 

  18. Festinger, L.: Informal social communication. Psych. Rev. 57, 271–282 (1950)

    Article  Google Scholar 

  19. Bell, B.S., Kozlowski, S.W.J., Blawath, S.: Team learning: a theoretical integration and review. In: Kozlowski, S.W.J. (ed.) The Oxford Handbook of Organizational Psychology, vol. 2, pp. 859–909. Oxford University Press, Oxford (2012)

    Google Scholar 

  20. Mullen, B., Copper, C.: The relation between group cohesiveness and performance: an integration. Psychol. Bull. 115, 210–227 (1994)

    Article  Google Scholar 

  21. Vanhove, A.J., Herian, M.N.: Team cohesion and individual well-being: a conceptual analysis and relational framework. In: Salas, E., Vessey, W.B., Estrada, A.X. (eds.) Team Cohesion: Advances in Psychological Theory, Methods and Practice. Research on Managing Groups and Teams, vol. 17, pp. 53–82. Emerald Group Publishing Limited, Bingley (2015)

    Chapter  Google Scholar 

  22. Van Den Bossche, P., Gijselaers, W.H., Segers, M., Kirschner, P.: Social and cognitive factors driving teamwork in collaborative learning environments. Small Gr. Res. 37, 490–521 (2006)

    Article  Google Scholar 

  23. Wong, S.: Distal and local group learning: performance trade-offs and tensions. Organ. Sci. 15, 645–656 (2004)

    Article  Google Scholar 

  24. Thom, R.: Structural Stability and Morphogenesis: An Outline of a General Theory of Models. W. A. Benjamim, Reading (1975)

    MATH  Google Scholar 

  25. Escartin, J., Ceja, L., Navarro, J., Zapf, D.: Modeling workplace bullying using catastrophe theory. Nonlinear Dyn. Psychol. Life Sci. 17, 493–515 (2013)

    MathSciNet  Google Scholar 

  26. Fuchs, C., Diamantopoulos, A.: Using single-item measures for construct measurement in management research: conceptual issues and application guidelines. Die Betriebswirtschaft 69, 197–212 (2009)

    Google Scholar 

  27. Roe, R.A., Gockel, C., Meyer, B.: Time and change in teams: where we are and where we are moving. Eur. J. Work Organ. Psychol. 21, 629–656 (2012)

    Article  Google Scholar 

  28. Santos, G., Costa, T., Rebelo, T., Lourenço, P.R., Dimas, I.: Desenvolvimento Grupal: uma abordagem com base na teoria dos sistemas dinâmicos não lineares - Construção/adaptação e validação de instrumento de medida [Group development: A nonlinear dynamical system approach - development/adaptation and validation of a measure]. In: Actas do VIII SNIP, Aveiro, Portugal (2013)

    Google Scholar 

  29. Savelsbergh, C.M.J.H., van der Heijden, B.I.J.M., Poell, R.F.: The development and empirical validation of a multidimensional measurement instrument for team learning behaviors. Small Gr. Res. 40, 578–607 (2009)

    Article  Google Scholar 

  30. Van Muijen, J., Koopman, P., De Witte, K., De Cock, G., Turnipseed, D.: Organizational culture: the focus questionnaire. Eur. J. Work Organ. Psychol. 8, 551–568 (1999)

    Article  Google Scholar 

  31. Quinn, R.E.: Beyond Rational Management: Mastering the Paradoxes and Competing Demands of High Performance. Jossey-Bass, San Francisco (1988)

    Google Scholar 

  32. Sargent, L.D., Sue-Chan, C.: Does diversity affect group efficacy?: the intervening role of cohesion and task interdependence. Small Gr. Res. 32, 426–450 (2001)

    Article  Google Scholar 

  33. Carron, A.V., Widmeyer, W.N., Brawley, L.R.: The development of an instrument to assess cohesion in sport teams: the group environment questionnaire. J. Sport Psychol. 7, 244–266 (1985)

    Article  Google Scholar 

  34. Chang, A., Bordia, P.: A multidimensional approach to the group cohesion group performance relationship. Small Gr. Res. 32, 379–405 (2001)

    Article  Google Scholar 

  35. Gilmore, R.: Catastrophe Theory for Scientists and Engineers. Wiley, New York (1981)

    MATH  Google Scholar 

  36. Poston, T., Stewart, I.: Catastrophe Theory and its Applications. Dover Publications, New York (1978)

    MATH  Google Scholar 

  37. Guastello, S.J.: Managing Emergent Phenomena: Non-Linear Dynamics in Work Organizations. Erlbaum, Mahwah (2002)

    Google Scholar 

  38. Burke, M.J., Finkelstein, L.M., Dusig, M.S.: On average deviation indices for estimating interrater agreement. Organ. Res. Methods 2, 49–68 (1999)

    Article  Google Scholar 

  39. Sundstrom, E., De Meuse, K.P., Futrell, D.: Work teams: applications and effectiveness. Am. Psychol. 45, 120–133 (1990)

    Article  Google Scholar 

  40. Janis, I.L.: Victims of Groupthink. Houghton Mifflin, Boston (1972)

    Google Scholar 

  41. Škerlavaj, M., Štemberger, M.I., Škrinjar, R., Dimovski, V.: Organizational learning culture - the missing link between business process change and organizational performance. Int. J. Prod. Econ. 106, 346–367 (2007)

    Article  Google Scholar 

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Correspondence to Isabel Dórdio Dimas .

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Dimas, I.D., Rebelo, T., Lourenço, P.R., Rocha, H. (2019). A Nonlinear Dynamical System Perspective on Team Learning: The Role of Team Culture and Social Cohesion. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11621. Springer, Cham. https://doi.org/10.1007/978-3-030-24302-9_4

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  • DOI: https://doi.org/10.1007/978-3-030-24302-9_4

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