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Space, time, and the development of shared leadership networks in multiteam systems

  • SOPHIA D. SULLIVAN (a1), ALINA LUNGEANU (a2), LESLIE A. DECHURCH (a3) and NOSHIR S. CONTRACTOR (a4)

Abstract

Digital technologies have created the potential for new forms of organizing among geographically dispersed individuals by connecting their ideas across the time and space in complex multiteam systems (MTSs). Realizing this potential requires novel forms of shared leadership structures to shepherd divergent and convergent thinking necessary to nurture innovation. While there is limited research on how space influences leadership and how the time influences leadership, there is virtually no theorizing on how space and time interact together to influence the emergence of shared leadership structures that facilitates innovation. A key contribution of this study is to utilize an agent-based model (ABM) that draws upon the research on leadership, networks, and innovation to specify generative mechanisms (or micro-processes) through which shared leadership structures emerge over space and time. The parameters in this model were estimated from empirical data. Results of virtual experiments (VE) yielded testable hypotheses suggesting that, over time, leadership capacity and between-team ties are negatively influenced by space. Furthermore, the computational model suggests that space increases the concentration of divergent leadership but decreases the concentration of convergent leadership. The study concludes by discussing the implications for the design of effective leadership structures to nurture innovation in MTSs.

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Aime, F., Humphrey, S., DeRue, D., & Paul, J. (2013). The riddle of heterarchy: Power transitions in cross-functional teams. Academy of Management Journal, 57 (2), 327352.
Amabile, T. M. (1996). Creativity and innovation in organizations. Harvard Business School Background Note, 396–239.
Bledow, R., Frese, M., Anderson, N., Erez, M., & Farr, J. (2009). A dialectic perspective on innovation: Conflicting demands, multiple pathways, and ambidexterity. Industrial and Organizational Psychology, 2 (3), 305337.
Burt, R. S. (2004). Structural holes and good ideas. American Journal of Sociology, 110 (2), 349399.
Burt, R. S. (2005). Brokerage and closure: An introduction to social capital: An introduction to social capital. New York, NY: Oxford University Press.
Carson, J. B., Tesluk, P. E., & Marrone, J. A. (2007). Shared leadership in teams: An investigation of antecedent conditions and performance. Academy of Management Journal, 50 (5), 12171234.
Carter, D. R., DeChurch, L. A., Braun, M. T., & Contractor, N. S. (2015). Social network approaches to leadership: An integrative conceptual review. Journal of Applied Psychology.
Chan, K.-Y., & Drasgow, F. (2001). Toward a theory of individual differences and leadership: Understanding the motivation to lead. Journal of Applied Psychology, 86 (3), 481498.
Chen, G.-M., & Starosta, W. J. (2000). The development and validation of the Intercultural Sensitivity Scale. Paper presented at the Annual Meeting of the National Communication Association, Seattle, WA.
Cohen, S. G., & Bailey, D. E. (1997). What makes teams work: Group effectiveness research from the shop floor to the executive suite. Journal of Management, 23 (3), 239290.
Connaughton, S. L., Williams, E. A., & Shuffler, M. L. (2012). Social identity issues in multiteam systems: Considerations for future research. In Zaccaro, S. J., Marks, M. A., & DeChurch, L. A. (Eds.), Multiteam systems: An organization form for dynamic and complex environments (pp. 109139). New York, NY: Routledge.
Contractor, N. S., DeChurch, L. A., Carson, J., Carter, D. R., & Keegan, B. (2012). The topology of collective leadership. The Leadership Quarterly, 23 (6), 9941011.
Cummings, J. N., & Kiesler, S. (2007). Coordination costs and project outcomes in multi-university collaborations. Research Policy, 36 (10), 16201634.
DeChurch, L. A., & Zaccaro, S. (2013). Innovation in scientific multiteam systems: Confluence and countervailing forces. Paper Comissioned by the National Research Council.
DeRue, D. S., & Ashford, S. J. (2010). Who will lead and who will follow? A social process of leadership identity construction in organizations. Academy of Management Review, 35 (4), 627647.
Druskat, V. U., & Wheeler, J. V. (2003). Managing from the boundary: The effective leadership of self-managing work teams. Academy of Management Journal, 46 (4), 435457.
Fayol, H. (1949). General and industrial management. London: Pitman.
Fleming, L. (2001). Recombinant uncertainty in technological search. Management Science, 47 (1), 117132.
Fleming, L., Mingo, S., & Chen, D. (2007). Collaborative brokerage, generative creativity, and creative success. Administrative Science Quarterly, 52 (3), 443475.
Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1 (3), 215239.
Gersick, C. J. (1988). Time and transition in work teams: Toward a new model of group development. Academy of Management Journal, 31 (1), 941.
Gong, Y., Huang, J.-C., & Farh, J.-L. (2009). Employee learning orientation, transformational leadership, and employee creativity: The mediating role of employee creative self-efficacy. Academy of Management Journal, 52 (4), 765778.
Gray, B. (2008). Enhancing transdisciplinary research through collaborative leadership. American Journal of Preventive Medicine, 35 (2), S124S132.
Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., & Morris, M. (2008). Statnet: Software tools for the representation, visualization, analysis and simulation of network data. Journal of Statistical Software, 24 (1), 1548.
Hanneman, R. A. (1988). Computer-assisted theory building: Modeling dynamic social systems. Newbury Park, CA: Sage.
Hatch, M. J., & Schultz, M. (2002). The dynamics of organizational identity. Human Relations, 55 (8), 9891018.
Hinds, P. J., & Mortensen, M. (2005). Understanding conflict in geographically distributed teams: The moderating effects of shared identity, shared context, and spontaneous communication. Organization Science, 16 (3), 290307.
Hulin, C. L., & Ilgen, D. R. (2000). Introduction to computational modeling in organizations: The good that modeling does. In Ilgen, D. R. & Hulin, C. L. (Eds.), Computational modeling of behavior in organizations: The third scientific discipline (pp. 318). Washington, DC: American Psychological Association.
Hunter, S. T., Bedell, K. E., & Mumford, M. D. (2007). Climate for creativity: A quantitative review. Creativity Research Journal, 19 (1), 6990.
Hyatt, A., Contractor, N. S., & Jones, P. (1997). Computational organizational network modeling: Strategies and an example. Computational & Mathematical Organization Theory, 2 (4), 285300.
Jackson, C. L., Colquitt, J. A., Wesson, M. J. & Zapata-Phelan, C. P. (2006). Psychological collectivism: A measurement validation and linkage to group member performance. Journal of Applied Psychology, 91 (4), 884.
Jansen, J. J., Vera, D., & Crossan, M. (2009). Strategic leadership for exploration and exploitation: The moderating role of environmental dynamism. The Leadership Quarterly, 20 (1), 518.
Judge, T. A., Bono, J. E., Ilies, R., & Gerhardt, M. W. (2002). Personality and leadership: A qualitative and quantitative review. Journal of Applied Psychology, 87 (4), 765780.
Kozlowski, S. W., Chao, G. T., Grand, J. A., Braun, M. T., & Kuljanin, G. (2013). Advancing multilevel research design capturing the dynamics of emergence. Organizational Research Methods, 16 (4), 581615.
Lagendijk, A., & Lorentzen, A. (2007). Proximity, knowledge and innovation in peripheral regions. On the intersection between geographical and organizational proximity. European Planning Studies, 15 (4), 457466.
Lee-Davies, L., Kakabadse, N. K., & Kakabadse, A. (2007). Shared leadership: Leading through polylogue. Business Strategy Series, 8 (4), 246253.
March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2 (1), 7187.
Marks, M. A., Mathieu, J. E., & Zaccaro, S. J. (2001). A temporally based framework and taxonomy of team processes. Academy of Management Review, 26 (3), 356376.
Marsden, P. V., & Friedkin, N. E. (1993). Network studies of social influence. Sociological Methods & Research, 22 (1), 127151.
Mathieu, J., 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 (3), 410476.
Mayo, M., Meindl, J. R., & Pastor, J.-C. (2003). Shared leadership in work teams: A social network approach. In Pearce, C. L. & Conger, J. A. (Eds.), Shared leadership: reframing the hows and whys of leadership (pp. 193214). Thousand Oaks, CA: Sage Publications, Inc.
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27, 415444.
Meister, C., & Werker, C. (2004). Physical and organizational proximity in territorial innovation systems: Introduction to the special issue. Journal of Economic Geography, 4 (1), 12.
Monge, P. R., & Contractor, N. S. (2003). Theories of communication networks. New York: Oxford University Press.
Mortensen, M. (2013). The team unbound: The theoretical, methodological, and managerial implications of fluid and multiplex boundaries in teams. INSEAD Working Papers Collection; 2013, Issue 36, preceding p1.
Mumford, M. D., O'Connor, J., Clifton, T. C., Connelly, M. S., & Zaccaro, S. J. (1993). Background data constructs as predictors of leadership. Human Performance, 6 (2), 151195.
Oh, H., Labianca, G., & Chung, M.-H. (2006). A multilevel model of group social capital. Academy of Management Review, 31 (3), 569582.
Palazzolo, E. T., Serb, D. A., She, Y., Su, C., & Contractor, N. S. (2006). Coevolution of communication and knowledge networks in transactive memory systems: Using computational models for theoretical development. Communication Theory, 16 (2), 223250.
Pearce, C. L. (2004). The future of leadership: Combining vertical and shared leadership to transform knowledge work. The Academy of Management Executive, 18 (1), 4757.
Radchuk, V., Johst, K., Groeneveld, J., Grimm, V., & Schtickzelle, N. (2013). Behind the scenes of population viability modeling: Predicting butterfly metapopulation dynamics under climate change. Ecological Modelling, 259, 6273.
Rosing, K., Frese, M., & Bausch, A. (2011). Explaining the heterogeneity of the leadership-innovation relationship: Ambidextrous leadership. The Leadership Quarterly, 22 (5), 956974.
Somech, A. & Drach-Zahavy, A. (2013). Translating team creativity to innovation implementation: The role of team composition and climate for innovation. Journal of Management, 39 (3), 684708. doi: 10.1177/0149206310394187
Stonedahl, F., & Wilensky, U. (2010). BehaviorSearch (computer software). Center for Connected Learning and Computer Based Modeling, Northwestern University, Evanston, IL. Available at: http://www.behaviorsearch.org/.
Stonedahl, F., & Wilensky, U. (2011). Finding forms of flocking: Evolutionary search in ABM parameter-spaces. In Boss, T., Geller, A., and Jonker, C. (Eds.), Multi-Agent-Based Simulation XI (Vol. 6532, pp. 6175). Berlin Heidelberg: Springer.
Thiele, J. C., Kurth, W., & Grimm, V. (2014). Facilitating parameter estimation and sensitivity analysis of agent-based models: A cookbook using netLogo and'R'. Journal of Artificial Societies and Social Simulation, 17 (3), 11.
VandeWalle, D., Brown, S. P., Cron, W. L., & Slocum, J. W. Jr, (1999). The influence of goal orientation and self-regulation tactics on sales performance: A longitudinal field test. Journal of Applied Psychology, 84 (2), 249259.
Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge and New York: Cambridge University Press.
Wilensky, U. (1999). NetLogo: Center for connected learning and computer-based modeling, Northwestern University. Retrieved from http://ccl.northwestern.edu/netlogo/
Zaccaro, S. J. & DeChurch, L. A. (2012). Leadership forms and functions in multiteam systems. In Zaccaro, S. J., Marks, M. A., & DeChurch, L. A. (Eds.), Multiteam systems: An organization form for dynamic and complex environments (pp. 253288). New York: Routledge.
Zaccaro, S. J., Marks, M. A. & DeChurch, L. A. (2012). Multiteam systems: An introduction. In Zaccaro, S. J., Marks, M. A., & DeChurch, L. A. (Eds.), Multiteam systems: An organization form for dynamic and complex environments (pp. 332). New York: Routledge.
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Network Science
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