The Impact of Brokerage in a Communication Network on Productivity: Evidence from Sensor Data
References
- Ahuja, M. K., Galleta, D. F., & Carley, K. M. (2003). Individual centrality and performance in virtual R&D groups: An empirical study. Management Science, 49(1), 21–38.
- Alvesson, M. (2004). Knowledge work and knowledge-intensive firms. Oxford University Press.
- Aral, S., & Van Alstyne, M. (2011). The diversity-bandwidth trade-off. American Journal of Sociology, 117(1), 90–171.
- Balachandran, S., & Hernandez, E. (2018). Networks and innovation: Accounting for structural and institutional sources of recombination in brokerage triads. Organization Science, 29(1), 80–99.
- Baldwin, T. T., Bedell, M. D., & Johnson, J. L. (1997). The social fabric of a team-based M.B.A. program: Network effects on student satisfaction and performance. Academy of Management Journal, 40(6), 1369–1397.
- Baum, J. A., McEvily, C. B., & Rowley, T. J. (2012). Better with age? Tie longevity and the performance implications of bridging and closure. Organization Science, 23(2), 529–546.
- Blau, P. (2017). Exchange and power in social life. Routledge.
- Borgatti, S. P., & Halgin, D. S. (2011). On network theory. Organization Science, 22(5), 1168–1181.
- Burt, R. S. (1980). Autonomy in a social topology. American Journal of Sociology, 85(4), 892–925.
- Burt, R. S. (1992). Structural holes: The social structure of competition. Harvard University Press.
- Burt, R. S. (2002). Bridge decay. Social Networks, 24(4), 333–363.
- Burt, R. S. (2015). Reinforced structural holes. Social Networks, 43, 149–161.
- Burt, R. S., & Merluzzi, J. (2016). Network oscillation. Academy of Management Discoveries, 2(4), 368–391.
- Casciaro, T., Gino, F., & Kouchaki, M. (2014). The contaminating effects of building instrumental ties: How networking can make us feel dirty. Administrative Science Quarterly, 59(4), 705–735.
- Casciaro, T., & Lobo, M. S. (2008). When competence is irrelevant: The role of interpersonal affect in task-related ties. Administrative Science Quarterly, 53(4), 655–684.
- 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.
- Cross, R., & Sproull, L. (2004). More than an answer: Information relationships for actionable knowledge. Organization Science, 15(4), 446–462.
- Fleming, L., Mingo, S., & Chen, D. (2007). Collaborative brokerage, generative creativity, and creative success. Administrative Science Quarterly, 52(3), 443–475.
- Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215–239.
- Friedkin, E. (1991). Theoretical foundations for centrality measures. American Journal of Sociology, 96(6), 1478–1504.
- Goldberg, A., Srivastava, S. B., Manian, V. G., Monroe, W., & Potts, C. (2016). Fitting in or standing out? The tradeoffs of structural and cultural embeddedness. American Sociological Review, 81(6), 1190–1222.
- Hargadon, A. B., & Bechky, B. A. (2006). When collections of creatives become creative collectives: A field study of problem solving at work. Organization Science, 17(4), 484–500.
- Hargadon, A. B., & Sutton, R. I. (1997). Technology brokering and innovation in a product development firm. Administrative Science Quarterly, 42(4), 716–749.
- Ichniowski, C., & Shaw, K. (2009). Connective capital as social capital: The value of problem-solving networks for team players in firms. NBER Working Paper 15619.
- Ingram, P., & Morris, M. (2007). Do people mix at mixers? Structure homophily, and the “life of the party.” Administrative Science Quarterly, 52(4), 558–585.
- Knoke, D., & Kuklinski, J. H. (1982). Network analysis. Sage Publications.
- Kwon, S. W., Rondi, E., Levin, D. Z., De Massis, A., & Brass, D. J. (2020). Network brokerage: An integrative review and future research agenda. Journal of Management, 46(6), 1092–1120.
- Lazer, D., & Friedman, A. (2007). The network structure of exploration and exploitation. Administrative Science Quarterly, 52(4), 667–694.
- Li, Y., Li, N., Guo, J., Li, J., & Harris, B. T. (2018). A network view of advice-giving and individual creativity in teams: A brokerage-driven, socially perpetuated phenomenon. Academy of Management Journal, 61(6), 2210–2229.
- Marineau, J. E., Hood, A. C., & Labianca, G. J. (2018). Multiplex conflict: Examining the effects of overlapping task and relationship conflict on advice seeking in organizations. Journal of Business and Psychology, 33(5), 595–610.
- McEvily, B., Jaffee, J., & Tortoriello, M. (2012). Not all bridging ties are equal: Network imprinting and firm growth in the Nashville legal industry, 1933–1978. Organization Science, 23(2), 547–563.
- 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(1), 121–146.
- Nickerson, J. A., & Zenger, T. R. (2004). A knowledge-based theory of the firm: The problem-solving perspective. Organization Science, 15(6), 617–632.
- Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14–37.
- Nonaka, I., & von Krogh, G. (2009). Perspective - Tacit knowledge and knowledge conversion: Controversy and advancement in organizational knowledge creation theory. Organization Science, 20(3), 635–652.
- Olguín, D. O., & Pentland, A. (2008). Social sensors for automatic data collection. Proceedings of the Fourteenth Americas Conference on Information Systems.
- Pentland, A. (2012). The new science of building great teams. Harvard Business Review, 90, 60–69.
- Quintane, E., & Carnabuci, G. (2016). How do brokers broker? Tertius gaudens, tertius iungens, and the temporality of structural holes. Organization Science, 27(6), 1343–1360.
- Reagans, R., & Zuckerman, E. W. (2001). Networks, diversity, and productivity: The social capital of corporate R&D teams. Organization Science, 12(4), 502–517.
- Rodan, S., & Galunic, C. (2004). More than network structure: How knowledge heterogeneity influences managerial performance and innovativeness. Strategic Management Journal, 25, 541–562.
- Sapsed, S., Grantham, A., & DeFullippi, R. (2007). A bridge over troubled waters: Bridging organisations and entrepreneurial opportunities in emerging sectors. Research Policy, 36(9), 1314–1334.
- Sasovava, Z., Mehra, A., Borgatti, S. P., & Schippers, M. C. (2010). Network Churn: The effects of self-monitoring personality on brokerage dynamics. Administrative Science Quarterly, 55(4), 639–670.
- Shah, N. P., Cross, R., & Levin, D. Z. (2018). Performance benefits from providing assistance in networks: Relationships that generate learning. Journal of Management, 44(2), 412–444.
- Sheppard, S., Colby, A., Macatangay, K., & Sullivan, W. (2006). What is engineering practice? International Journal of Engineering Education, 22(3), 429–438.
- Soda, G., Tortoriello, M., & Iorio, A. (2018). Harvesting value from brokerage: Individual strategic orientation, structural holes, and performance. Academy of Management Journal, 61(3), 896–918.
- Soda, G., Usai, A., & Zaheer, A. (2004). Network memory: The influence of past and current networks on performance. Academy of Management Journal, 47(6), 893–906.
- Sparrowe, R. T., Liden, R. C., & Kraimer, M. L. (2001). Social networks and the performance of individuals and groups. The Academy of Management Journal, 44(2), 316–325.
- Stokes, P. D. (2014). Crossing disciplines: A constraint-based model of the creative/innovative process. Journal of Product Innovation Management, 31(2), 247–258.
- Stovel, K., Golub, B., & Milgrom, E. M. M. (2011). Stabilizing brokerage. Proceedings of the National Academy of Sciences, 108, 21326–21332.
- Tabaru, N., & Yamaguchi, H. (2017). Development processes of team communication and team performance within work groups. Studies in Human Sciences, 12(2), 63–74. (in Japanese).
- Van Alstyne, M., & Brynjolfsson, E. (2005). Global village or cyber-Balkans? Modeling and measuring the integration of electronic communities. Management Science, 51(6), 851–868.
- Vincenti, W. G. (1990). What engineers know and how they know it: Analytical studies from aeronautical history. John Hopkins University Press.
- Wakisaka, Y., Ara, K., Hayakawa, M., Horry, Y., Moriwaki, N., Ohkubo, N., Sato, N., Tsuji, S., & Yano, K. (2009). Beam-scan sensor node: Reliable sensing of human interactions in organization. Proceedings of 6th International Conference on Networked Sensing Systems, 58–61.
- Wang, C., Rodan, S., Fruin, M., & Xu, X. (2014). Knowledge networks, collaboration network, and exploratory innovation. The Academy of Management Journal, 57(2), 484–514.
- Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.
- Watanabe, J., Fujita, M., Yano, K., Kanesaka, H., & Hasegawa, T. (2013). Quantitative evaluation of effects of workplace liveliness on performance in call centers. Information Processing Society of Japan, 54(4), 1470–1479. in Japanese.
- Wu, L., Waber, B., Aral, S., Brynjolfsson, E., & Pentland, A. (2008). Mining face-to-face interaction networks using sociometric badges: Predicting productivity in an it configuration task. mimeograph. Available at SSRN 1130251.
- Yano, K. (2013), The science of human interaction and teaching. Mind, Brain, and Education, 7(1), 19–29.
- Zaheer, A., & Soda, G. (2009). Network evolution: The origins of structural holes. Administrative Science Quarterly, 54(1), 1–31.
DOI: https://doi.org/10.21307/connections-2019.030 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 130 - 149
Published on: May 29, 2024
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Related subjects:
© 2024 Kentaro Nakajima, Tsuyoshi Tsuru, Katsuhito Uehara, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.