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How Alabama Won College Football’s National Championship – The New York Times

Team cohesion and individual productivity: the effect of the standard for productivity as well as the identifiability of human work. Mohammed, S., Ferzandi, L., & Hamilton, K. (2010). Metaphor no longer: a 15-year evaluation on the group mental model construct. Zhu, X., Barnes-Farrell, J. L., & Dalal, D. K. (2015). Quit apologizing to your samples, begin adopting them. CJA Study Committee Begins Accepting Remarks. A simple evaluation system for NHL teams. Human capital, social capital, and social network analysis: implications for strategic human resource management. Bourbousson, J., R’Kiouak, M., and Eccles, D. W. (2015). The dynamics of team manipulation: a social network analysis for a window to shared consciousness. Kilduff, M., & Tsai, W. (2003). Social networks and organizations. Brannick, M. T., Roach, R. M., & Salas, E. (1993). Recognizing team operation: a multimethod study. Harrison, D. A., Mohammed, S., McGrath, J. E., Florey, A. T., and Vanderstoep, S. W. (2003). Time matters in team performance: effects of member closeness, entrainment, and task discontinuity on quality and speed.

Wei, W., Pfeffer, J., Reminga, J., and Carley, K. M. (2011). Handling weighted, asymmetric, self-looped, and dispersed networks at ORA (no. CMU-ISR-11-113). Carron, A. V., Colman, M. M., Wheeler, J., & Stevens, D. (2002). Cohesion and performance in sport: a meta-analysis. Ilgen, D. R., Hollenbeck, J. R., Johnson, M., and Jundt, D. (2005). Teams in organizations: from input-process-output models to IMOI versions. Guimera, R., Uzzi, B., Spiro, J., & Amaral, L. A. N. (2005). Team assembly mechanisms determine collaboration network construction and staff performance. Devine, D. J., Clayton, L. D., Philips, J. L., Dunford, B. B., and Melner, S. B. (1999). Teams in organizations: prevalence, characteristics, and efficacy. Mehra, A., Dixon, A. L., Brass, D. J., & Robertson, B. (2006). The social network ties of group leaders: consequences for group performance and leader standing. Area, A., Miles, J., & Field, Z. (2012). Discovering data with R. Washington, D.C.: Sage. Hollenbeck, J. R., Beersma, B., & Schouten, M. E. (2012). Beyond team kinds and taxonomies: a dimensional climbing conceptualization for group outline. Network construction and group performance: the case of English Premier League soccer clubs.

Fransen, K., Van Puyenbroeck, S., Loughead, T. M., Vanbeselaere, N., De Cuyper, B., Broek, G. V., and Boen, ????? F. (2015). Who takes the lead? Social network analysis as a pioneering tool to research shared leadership inside sports teams. Uzzi, B., Mukherjee, S., Stringer, M., & Jones, B. (2013). Atypical combinations and scientific effect. Contractor, N. (2013). Some assembly required: Implementing Web science to understand and enable team assembly. Vashdi, D. R., Bamberger, P. A., & Erez, M. (2013). Can surgical teams learn? The use of coordination, complexity, and transitivity in activity team studying. Work groups and teams in organizations. Kozlowski, S. W., Gully, S. M., Nason, E. R., & Smith, E. M. (1999). Developing adaptive groups: A theory of compilation and functionality across time and levels. O’Leary, M. B., Mortensen, M., & Woolley, A. W. (2011). Multiple group membership: a theoretical model of its effects on learning and productivity for teams and individuals.

Mathieu, J. E., Heffner, T. S., Goodwin, G. F., Salas, E., and Cannon-Bowers, J. A. (2000). The influence of common mental models on team process and operation. Marks, M. A., Mathieu, J. E., & Zaccaro, S. J. (2001). A temporally based framework and taxonomy of group processes. Lawler, E. E., Mohrman, S. A., & Ledford, G. E. (1995). Creating high performance organizations: results and practices of employee involvement and Total Quality Management in Fortune 1000 firms. Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data evaluation. Klein, K. J., Ziegert, J. C., Knight, A. P., & Xiao, Y. (2006). Dynamic delegation: shared, hierarchical, and deindividualized leadership in extreme action groups. Sullivan, P., & Feltz, D. L. (2003). The preliminary development of the scale for more successful communication in group sports (SECTS). Xu, R. (2003). Measuring described variation in linear mixed effects models. NFL spreads are used to level the playing field between 2 groups, placing one group as the favorite and one as the underdog based on the projected gap in the final score. These photos capture the emotion at every single of their 90 minutes (possibly more) of the 2014 World Cup closing. Iverson, P. (2014). Winter Olympics hockey 2014: Line combinations take shape through men’s practice.