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The co-evolution of power and friendship networks in an organization

Published online by Cambridge University Press:  10 May 2016

ALONA LABUN ,
RAFAEL WITTEK  and
CHRISTIAN STEGLICH
ALONA LABUN
Affiliation:
Department of Sociology/ICS, University of Groningen, 9712 TG Groningen, The Netherlands (e-mail: labun.a@jeugdhulpfriesland.nl; r.p.m.wittek@rug.nl, c.e.g.steglich@rug.nl)
RAFAEL WITTEK
Affiliation:
Department of Sociology/ICS, University of Groningen, 9712 TG Groningen, The Netherlands (e-mail: labun.a@jeugdhulpfriesland.nl; r.p.m.wittek@rug.nl, c.e.g.steglich@rug.nl)
CHRISTIAN STEGLICH
Affiliation:
Department of Sociology/ICS, University of Groningen, 9712 TG Groningen, The Netherlands (e-mail: labun.a@jeugdhulpfriesland.nl; r.p.m.wittek@rug.nl, c.e.g.steglich@rug.nl)
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Abstract

Despite the pivotal role that both power and interpersonal trust play in a multitude of social exchange situations, relatively little is known about their interplay. Moreover, previous theorizing makes competing claims. Do we consider our relatively more powerful exchange partners to be less trustworthy, as rational choice reasoning would suggest? Or do more complex psychological mechanisms lead us to trust them more, as motivated cognition reasoning implies? Extending the latter approach, we develop and empirically test three hypotheses on the interrelation between perceptions of interpersonal trust and power. According to the status value hypothesis, individuals are more likely to befriend those whom they or others perceive as powerful. The status signaling hypothesis states that the friends of people one perceives as powerful will also be seen as powerful. According to the self-monitoring hypothesis, high self-monitors are more likely than low self-monitors to befriend those they or others perceive as powerful. We use multiplex stochastic actor-based models to analyze the co-evolution of trust and power relations among n = 49 employees in a Dutch Youth Care organization. Data covers three waves of a longitudinal sociometric network survey collected over a period of 18 months in the years 2009–2010. In general, we find some support for all three hypotheses, though the effects are weak. Being one of the first organizational field studies on the co-evolution of power and trust, we conclude with discussing the implications of these findings for the study of social exchange processes.

Keywords

power perceptionsfriendshipnetwork co-evolutionself-monitoringmotivated cognitionstatus valuestatus signalinginterpersonal trustorganizationsmultiplex stochastic actor-oriented modeling
Type
Research Article
Information
Network Science , Volume 4 , Issue 3 , September 2016 , pp. 364 - 384
Copyright
Copyright © Cambridge University Press 2016 

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References

Benjamin, B., & Podolny, J. (1999). Status quality and social order in the California wine industry. Administrative Science Quarterly, 44, 563–589.Google Scholar
Blau, P. M. (1955). The dynamics of bureaucracy. Chicago: University of Chicago Press.Google Scholar
Block, P. (2015). Reciprocity, transitivity, and the mysterious three-cycle. Social Networks, 40, 163–173.Google Scholar
Braendle, U. C., Gasser, T., & Null, J. (2005). Corporate governance in China: Is economic growth potential hindered by guanxi?. Business and Society Review, 110, 389–405.CrossRefGoogle Scholar
Brass, D. J. (1984). Being in the right place: A structural analysis of individual influence in an organization. Administrative Science Quarterly, 29, 518–539.CrossRefGoogle Scholar
Brass, D. J., & Burkhardt, M. E. (1993). Potential power and power use: An investigation of structure and behavior. The Academy of Management Journal, 36, 441–470.Google Scholar
Burkhardt, M. E., & Brass, D. J. (1990). Changing patterns or patterns of change: The effect of a change in technology on social network structure and power. Administrative Science Quarterly, 35, 104–127.CrossRefGoogle Scholar
Burt, R. S. (1992). Structural holes: The social structure of competition. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Burt, R. S. (2001). Bandwidth and Echo: Trust, information, and gossip in social networks. In Cassella, A., & Rauch, J. E. (Eds.), Networks and markets: contributions from economics and sociology (pp. 30–75). New York: Russell Sage Foundation.Google Scholar
Cialdini, R. B., Borden, R. J., Thorne, A., Walker, M. R., Freeman, S., & Sloan, L. R. (1976). Bask ing in reflected glory: Three (football) field studies. Journal of Personality and Social Psychology, 34, 366–375.Google Scholar
Coleman, J. S. (1990). Foundations of social theory. Cambridge, Mass: Harvard University Press.Google Scholar
Ellwardt, L., Steglich, C. E. G., & Wittek, R. P. M. (2012). The co-evolution of gossip and friendship in workplace social networks. Social Networks, 34, 623–633.Google Scholar
Feld, S. L., & Carter, W. C. (2002). Detecting measurement bias in respondent reports of personal networks. Social Networks, 24, 365–383.Google Scholar
Flap, H., & Volker, B. (2013). Social capital. In Wittek, R., Snijders, T. A. B. & Nee, V. (Eds.), Handbook of rational choice social research (pp. 220–251). Stanford: Stanford University Press.Google Scholar
Flynn, F. J., Reagans, R. E., Amanatullah, E. T., & Ames, D. R. (2006). Helping one's way to the top: Self-monitors achieve status by helping others and knowing who helps whom. Journal of Personality and Social Psychology, 91, 1123–1137.Google Scholar
Gangestad, S., & Snyder, M. (2000). Self-monitoring: Appraisal and reappraisal. Psychological Bulletin, 126, 530–555.Google Scholar
Graen, G. B., Cashman, J., Ginsburg, S., & Schiemann, W. (1977). Effects of linking-pin quality on the quality of working life of lower participants. Administrative Science Quarterly, 22, 491–504.Google Scholar
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, 765–780.Google Scholar
Judge, T. A., Higgins, C., Thoresen, C. J., & Barrick, M. R. (1999). The big five personality traits, general mental ability, and career success across the life span. Personnel Psychology, 52, 621–652.CrossRefGoogle Scholar
Kilduff, M., & Day, D. V. (1994). Do chameleons get ahead: The effects of self-monitoring on managerial careers. Academy of Management Journal, 37, 1047–1060.Google Scholar
Kilduff, M. & Krackhardt, D. (1994). Bringing the individual back in: A structural analysis of the internal market for reputation in organizations. The Academy of Management Journal, 37, 87–108.Google Scholar
Kruglanski, A.W. (1996). Motivated social cognition: Principles of the interface. In Higgins, E., and Kruglanski, A. (Eds.), Social psychology: Handbook of basic principles (pp. 493–520). New York, NY: Guilford Press.Google Scholar
Kunda, Z. (1990). The case for motivated reasoning. Psychological Bulletin, 108, 480–498.CrossRefGoogle ScholarPubMed
Lemay, E. P., & Clark, M. S. (2015). Motivated cognition in relationships. Current Opinion in Psychology, 1, 72–75.CrossRefGoogle Scholar
Lennox, R. D., & Wolfe, R. N. (1984). Revision of the self-monitoring scale. Journal of Personality and Social Psychology, 46, 1349–1364.CrossRefGoogle ScholarPubMed
Lin, N. (2002). Social capital: A theory of social structure and action. Cambridge: Cambridge University Press.Google Scholar
Lydon, J., & Karremans, J. C. (2015). Relationship regulation in the face of eye candy: A motivated cognition framework for understanding responses to attractive alternatives. Current Opinion in Psychology, 1, 76–80.Google Scholar
Mehra, A., Dixon, A. L., Brass, D. J., & Robertson, B. (2006). The social network ties of group leaders: Implications for group performance and leader reputation. Organization Science, 17, 64–79.Google Scholar
Mehra, A., Kilduff, M., & Brass, D. J. (2001). The social networks of high and low self-monitors: Implications for workplace performance. Administrative Science Quarterly, 46, 121–146.Google Scholar
Mehra, A., Marineau, J., Lopes, A. B., & Dass, T. K. (2009). The co-evolution of friendship and leadership networks in small groups. In Graen, G., & Graen, J. (Eds.), Predators' game-changing designs, a volume in the series: LMX leadership: The series. Charlotte, NC: Information Age Publishing.Google Scholar
Merton, R. K. (1968). The Matthew effect in science. Science, 159, 56–63.Google Scholar
Molm, L. D., Schaefer, D. R., & Collett, J. L. (2007). The value of reciprocity. Social Psychology Quarterly, 70, 199–217.Google Scholar
Pastor, J. C., Meindl, J. R., & Mayo, M. C. (2002). A network effects model of charisma attributions. Academy of Management Journal, 45, 410–420.Google Scholar
Perrewé, P. L., Ferris, G. R., Frink, D. D., & Anthony, W. P. (2000). Political skill: An antidote for workplace stressors. Academy of Management Executive, 14, 115–123.Google Scholar
Pfeffer, J. (1977). The ambiguity of leadership. Academy of Management Review, 2, 104–112.Google Scholar
Pfeffer, J. (1981). Power in organizations. Marshfield, MA: Pitman.Google Scholar
Podolny, J. M. (2001). Networks as the pipes and prisms of the market. American Journal of Sociology, 107, 33–60.Google Scholar
Ripley, R. M., Snijders, T. A. B., Boda, Z., Vörös, A., & Preciado, P. (2015). Manual for RSiena. Oxford: University of Oxford, Department of Statistics, Nuffield College.Google Scholar
Schilke, O., Reimann, M., & Cook, K. S. (2015). Power decreases trust in social exchange. Proceedings of the National Academy of Sciences, 112, 12950–12955.Google Scholar
Shaw, M. E. (1964). Communication networks. In Nerkowitz, L. (Ed.), Advances in experimental social psychology, Vol. 1 (pp. 111–147). New York, NY: Academic.Google Scholar
Snijders, T. A. B., Van de Bunt, G. G., & Steglich, C. E. G. (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32, 44–60.Google Scholar
Snijders, T. A. B., Koskinen, J., & Schweinberger, M. (2010). Maximum likelihood estimation for social network dynamics. Annals of Applied Statistics, 4, 567–588.Google Scholar
Snijders, T. A. B., Lomi, A., & Torlo, V. J. (2013). A model for the multiplex dynamics of two-mode and one-mode networks, with an application to employment preference, friendship, and advice. Social Networks, 35, 265–276.Google Scholar
Snyder, M. (1987). Public appearances, private realities: The psychology of self-monitoring. New York, NY: W. H. Freeman.Google Scholar
Snyder, M., & Copeland, J. (1989). Self-monitoring processes in organizational settings. In Giacalone, R. A., & Rosenfeld, P. (Eds.), Impression management in the organization (pp. 7–19). Hillsdale, NJ: Erlbaum.Google Scholar
Strauss, G. (1973). Tactics of lateral relationship. In Leavitt, H. J., & Pondy, L. R. (Eds.), Readings in managerial psychology (2nd ed., pp. 346–379). Chicago: University of Chicago Press.Google Scholar
Thye, S. (2000). A status value theory of power in exchange networks. American Sociological Review, 65, 407–432.Google Scholar
Van de Bunt, G., Van Duijn, M. A. J., & Snijders, T. A. B. (1999). Friendship networks through time: An actor-oriented statistical network model. Computational and Mathematical Organization Theory, 5, 167–192.Google Scholar
Van de Bunt, G., Wittek, R. P. M., & de Klepper, M. C. (2005). The evolution of intra-organiational trust networks the case of a German paper factory: An empirical test of six trust mechanisms. International Sociology, 20, 339–369.Google Scholar
Winstead, B., & Derlega, V. J. (1986). Friendship and social interaction: An introduction, Friendship and social interaction. New York: Springer-Verlag.Google Scholar
Zaccaro, S. J., Foti, R. J., & Kenny, D. A. (1991). Self-monitoring and trait-based variance in leadership: An investigation of leader flexibility across multiple group situations. Journal of Applied Psychology, 76, 308–315.Google Scholar