Abstract
We build on recent developments in network theory and the sociology of valuation, and we propose that the overlapping connections that groups have with each other (i.e., structural folds) and differences in within-group values are substitutes for explaining creativity (coming up with new ideas and practices). Thus, only groups that lack overlapping connections with other groups stand to benefit from within-group value differences. In order to test this proposition, we developed a scale to measure differences in values in organizational cliques. We constructed 280 cliques of 104 employees at a professional service firm on the basis of their advice relations and tested whether group overlaps and diverging values were positively associated with a group’s creativity and their joint effect. As expected, group overlaps only have a positive effect on creativity when values do not diverge. Furthermore, divergence of values contributes to creativity only when overlapping connections between groups are lacking. These findings are explained by presenting a compensatory theory of the function of overlapping group memberships and differences in values. The findings contribute both to the research on group processes and creativity in network theory as well as the effects of values in social sciences.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
We also used the CFinder software to analyze our data with the clique percolation method. With k value 3, CFinder identified only two subgroups; with k values of both 4 and 5, there were 10 subgroups. With so few subgroups, no statistically significant differences can be found.
- 2.
When the N of the network is only 147, 280 subgroups may sound like a high figure. However, this figure is not that high considering that nodes are members of 1.9 cliques on average.
- 3.
Stark (2009) has explored the connection between divergence of values and structural folding in the methodological context of ethnographic research. A methodological focus on ethnographic research is logical if one wants to underscore (as Stark does) that valuation always takes place in particular situations. However, ethnographic research is better suited to the formulation of new theories rather than to testing them.
- 4.
Goldberg et al. (2016) studied career advancement with a dual focus on the effects of similarity of vocabulary of senders and receivers of e-mails (cultural fit) and the structural positions of nodes in e-mail networks.
References
Amabile, T. M. (1988). A model of creativity and innovation in organizations. Research in Organizational Behavior, 10(1), 123–167.
Bavelas, A. (1951). Communication patterns in task-oriented groups. In D. Lerner & H. D. Lasswell (Eds.), The policy sciences. Stanford, CA: Stanford University Press.
Boltanski, L., & Thévenot, L. (2006). On justification: Economies of worth. Princeton, NJ: Princeton University Press.
Burt, R. S. (2002). Bridge decay. Social Networks, 24(4), 333–363.
Burt, R. S., & Merluzzi, J. (2016). Network oscillation. Academy of Management Discoveries, 2(4).
Cross, R., & Cummings, J. N. (2004). Tie and network correlates of individual performance in knowledge-intensive work. Academy of Management Journal, 47(6), 928–937.
Dawson, J. F. (2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1–19.
de Vaan, M., Vedres, B., & Stark, D. (2015). Game changer: The topology of creativity. American Journal of Sociology, 120(4), 1144–1194.
Fleming, L. (2001). Recombinant uncertainty in technological search. Management Science, 47(1), 117–132.
Goldberg, A., Sameer, B., Srivastava, V. G. M., Monroe, W., & Potts, C. (2016). Fitting in or standing out? The tradeoffs of structural and cultural embeddedness. American Sociological Review, 81(6), 1190–1222.
Greenland, S. (2003). Quantifying biases in causal models: Classical confounding vs collider-stratification Bias. Epidemiology, 14(3), 300–306.
Halaby, C. N. (2003). Where job values come from. American Sociological Review, 68, 251–278.
Hansen, M. T. (1999). The search-transfer problem: The role of weak ties in sharing knowledge across organization subunits. Administrative Science Quarterly, 44(1), 82–111.
Henderson, R. M., & Clark, K. B. (1990). Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms. Administrative Science Quarterly, 35(1), 9–30.
Hoogendoorn, S., Parker, S. C., & Van Praag, M. (2017). Smart or diverse start-up teams? Evidence from a field experiment. Organization Science, 28(6), 1010–1028.
Hutter, M., & Stark, D. (2015). Pragmatist perspectives on valuation: An introduction. In A. Antal, M. Hutter, & D. Stark (Eds.), Moments of valuation: Exploring sites of dissonance. Oxford: Oxford University Press.
Ibarra, H., & Andrews, S. B. (1993). Power, social influence, and sense making: Effects of network centrality and proximity on employee perceptions. Administrative Science Quarterly, 38(2), 277–303.
Krackhardt, D. (1992). The strength of strong ties: The importance of Philos in organizations. In N. Nohria & R. G. Eccles (Eds.), Networks and organizations (pp. 216–239). Boston, MA: Harvard Business School Press.
Krackhardt, D. J. (1999). The ties that torture: Simmelian tie analysis in organization. Research in the Sociology of Organizations, 16, 183–210.
Lenfle, S., Masson, P. L., & Weil, B. (2016). When project management meets design theory: Revisiting the Manhattan and Polaris projects to characterize ‘radical Innovation’ and its managerial implications. Creativity and Innovation Management, 25(3), 378–395.
March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71–87.
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444.
Mom, T. J. M., van den Bosch, F. A. J., & Volberda, H. W. (2009). Understanding variation in managers’ ambidexterity: Investigating direct and interaction effects of formal structural and personal coordination mechanisms. Organization Science, 20(4), 812–828.
Moody, M., & Thevenot, L. (2000). Comparing models of strategy, interests, and the public good in French and American Environmental disputes. In M. Lamont & L. Thevenot (Eds.), Rethinking comparative cultural sociology: Repertoires of evaluation in France and the United States (pp. 273–306). Cambridge, MA: Cambridge University Press.
Nebus, J. (2006). Building collegial information networks: A theory of advice network generation. Academy of Management Review, 31(3), 615–637.
Obstfeld, D. (2005). Social networks, the Tertius Iungens orientation, and involvement in innovation. Administrative Science Quarterly, 50(1), 100–130.
Oh, H., Chung, M.-H., & Labianca, G. (2004). Group social capital and group effectiveness: The role of informal socializing ties. Academy of Management Journal, 47(6), 860–875.
Pachucki, M. A., & Breiger, R. L. (2010). Cultural holes: Beyond relationality in social networks and culture. Annual Review of Sociology, 36(1), 205–224.
Palla, G., Derényi, I., Farkas, I., & Vicsek, T. (2005). Uncovering the overlapping community structure of complex networks in nature and society. Nature, 435(7043), 814–818.
Parker, J. N., & Corte, U. (2017). Placing collaborative circles in strategic action fields: Explaining differences between highly creative groups. Sociological Theory, 35(4), 261–287.
Parker, J. N., & Hackett, E. J. (2012). Hot spots and hot moments in scientific collaborations and social movements. American Sociological Review, 77(1), 21–44.
Reagans, R., & McEvily, B. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48(2), 240–267.
Reagans, R., & Zuckerman, E. W. (2001). Networks, diversity, and productivity: The social Capital of Corporate R&D teams. Organization Science, 12(4), 502–517.
Rogan, M., & Mors, M. L. (2014). A network perspective on individual ambidexterity in organizations. Organization Science, 25(6), 1860–1877.
Rogers, E. (2003). Diffusion of innovations. New York, NY: Free Press.
Scott, J. (2000). Social network analysis. A handbook (2nd ed.). London: SAGE.
Shaw, M. E. (1964). Communication networks. In L. Berkowitz (Ed.), Advances in experimental social psychology (pp. 111–147). New York: Academic Press.
Siciliano, M. D. (2015). Advice networks in public organizations: The role of structure, internal competition, and individual attributes. Public Administration Review, 75(4), 548–559.
Sparrowe, R. T., Liden, R. C., Wayne, S. J., & Kraimer, M. L. (2001). Social networks and the performance of individuals and groups. Academy of Management Journal, 44(2), 316–325.
Stark, D. (2009). The sense of dissonance. Accounts of Worth in Economic Life: Princeton University Press.
Tortoriello, M., & Krackhardt, D. (2010). Activating cross-boundary knowledge: The role of Simmelian ties in the generation of innovations. Academy of Management Journal, 53(1), 167–181.
Uzzi, B., & Spiro, J. (2005). Collaboration and creativity: The small world problem. The American Journal of Sociology, 111(2), 447–504.
Van Knippenberg, D. (2000). Work motivation and performance: A social identity perspective. Applied Psychology, 49(3), 357–371.
Vatin, F. (2013). Valuation as evaluating and valorizing. Valuation Studies, 1(1), 31–50.
Vedres, B., & Stark, D. (2010). Structural folds: Generative disruption in overlapping groups. American Journal of Sociology, 115(4), 1150–1190.
Wal, T., Anne, L. J., Alexy, O., Block, J., & Sandner, P. G. (2016). The best of both worlds. Administrative Science Quarterly, 61(3), 393–432.
Woodman, R. W., Sawyer, J. E., & Griffin, R. W. (1993). Toward a theory of organizational creativity. Academy of Management Review, 18(2), 293–321.
Ylä-Anttila, T., & Luhtakallio, E. (2016). Justifications analysis: Understanding moral evaluations in public debates. Sociological Research Online, 21(4).
Zhou, J., & George, J. M. (2001). When job dissatisfaction leads to creativity: Encouraging the expression of voice. Academy of Management Journal, 44(4), 682–696.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendices
Appendix 1
Operationalization of the valuation questions (the titles of the “worlds” were not shown in the questionnaire)
Please indicate how important you consider the following factors to be (1 = “not at all important”; 2 = “not very important”; 3 = “somewhat important”; 4 = “fairly important”; 5 = “very important”).
-
1.
Market World
-
My salary or other monetary compensation is good.
-
My company pays a better salary than its competitors.
-
My company succeeds better than its competitors.
-
-
2.
Industrial World
-
My company operates efficiently.
-
The targets of the company are clear.
-
The division of responsibilities among employees is functional.
-
-
3.
Civic World
-
Employees can participate in the company’s decision-making.
-
All employees are being treated equally.
-
Employee rights are explicit in the company.
-
-
4.
World of Fame
-
My job is valued in society.
-
My company is well known.
-
I am able to network widely in my job.
-
-
5.
World of Inspiration
-
I am able to fulfill myself at work.
-
Company culture promotes my creativity.
-
I am passionate about my work.
-
-
6.
Domestic World
-
I trust my closest colleagues.
-
In my company, the superiors are held in esteem and respected.
-
In my work, I accumulate competence that is being transferred to future employees.
-
-
7.
World of Ecology
-
I am able to promote environmental welfare in my work.
-
The company functions in accordance with sustainable development.
-
My work promotes the use of renewable energy.
-
Appendix 2
Reliability statistics for all valuations
Cronbach’s Alpha | Number of items | |
---|---|---|
Market | 0.634 | 3 |
Industrial | 0.488 | 3 |
Civic | 0.241 | 3 |
Fame | 0.688 | 3 |
Inspiration | 0.682 | 3 |
Domestic | 0.568 | 3 |
Ecology | 0.776 | 3 |
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Gronow, A., Smedlund, A., Karimo, A. (2020). How Overlapping Connections Between Groups Interact with Value Differences in Explaining Creativity?. In: Lehtimäki, H., Uusikylä, P., Smedlund, A. (eds) Society as an Interaction Space. Translational Systems Sciences, vol 22. Springer, Singapore. https://doi.org/10.1007/978-981-15-0069-5_7
Download citation
DOI: https://doi.org/10.1007/978-981-15-0069-5_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0068-8
Online ISBN: 978-981-15-0069-5
eBook Packages: Economics and FinanceEconomics and Finance (R0)