Peers and Network Growth: Evidence from a Natural Experiment
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DOI: 10.1287/mnsc.2014.2109
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References listed on IDEAS
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Cited by:
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- Houxing Tang & Zhenzhong Ma & Jiuling Xiao & Lei Xiao, 2020. "Toward a more Efficient Knowledge Network in Innovation Ecosystems: A Simulated Study on Knowledge Management," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
- Hitoshi Mitsuhashi & Azusa Nakamura, 2022. "Pay and networks in organizations: Incentive redesign as a driver of network change," Strategic Management Journal, Wiley Blackwell, vol. 43(2), pages 295-322, February.
- Barlow, Matthew A. & Hesterly, William S. & Cameron Verhaal, J., 2023. "Catching a falling star: Mobility of declining star performers, peer effects, and organizational performance in the National Football League," Journal of Business Research, Elsevier, vol. 165(C).
- Fu, Lin & Zhou, Yueyue & Zheng, Hao & Cheng, Jin & Fan, Yue & Eli, Buzohre & Liu, Zhengkui, 2024. "Effectiveness of a brief social network intervention for depressive symptoms among Chinese adolescents under major chronic stress," Children and Youth Services Review, Elsevier, vol. 156(C).
- Adam M. Kleinbaum, 2018. "Reorganization and Tie Decay Choices," Management Science, INFORMS, vol. 64(5), pages 2219-2237, May.
- Sharique Hasan & Rembrand Koning, 2020. "Designing social networks: joint tasks and the formation and endurance of network ties," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-19, December.
- Gianluca Carnabuci & Cécile Emery & David Brinberg, 2018. "Emergent Leadership Structures in Informal Groups: A Dynamic, Cognitively Informed Network Model," Organization Science, INFORMS, vol. 29(1), pages 118-133, February.
- Fanshun Zhang & Congdong Li & Cejun Cao & Zhiwei Zhang, 2022. "Random or preferential? Evolutionary mechanism of user behavior in co-creation community," Computational and Mathematical Organization Theory, Springer, vol. 28(2), pages 141-177, June.
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Keywords
social networks; peer effects; randomized experiment; peer influence;All these keywords.
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