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【学术通知】爱荷华大学Tippie商学院终身副教授李宁:Social Network Perspectives in Organizational Research: Past, Present, and Future
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发布日期:2019-04-19 点击数:

喻园管理论坛2019年第43期(总第494期)

演讲主题:Social Network Perspectives in Organizational Research: Past, Present, and Future

主 讲 人:李宁,爱荷华大学Tippie商学院终身副教授

主 持 人:张鹏程,华中科技大学工商系副教授

活动地点:管理学院207教室

活动时间:4月22日(周一)10:00--11:30

主讲人简介

李宁,现任美国爱荷华大学Tippie商学院管理与组织系终身副教授,毕业于美国德克萨斯A&M大学(Texas A&M University),获得管理学博士学位。他目前的研究兴趣包括:大数据时代的组织管理,社会网络分析,团队领导力,组织公民行为以及组织中的“员工主动”现象。他的研究成果发表于许多管理学顶级期刊,例如:Academy of Management Review,Academy of Management Journal,Academy of Management Annals,Journal of Applied Psychology,Personnel Psychology,Journal of Management和Harvard Business Review。同时,研究成果被《哈佛商业评论》、《福布斯杂志》、《每日商业新闻》、雅虎等主流商业媒体纷纷报道、转载。2015年,他被美国爱荷华大学授予“早期职业生涯成就奖”。目前,李教授担任组织行为学顶级期刊Journal of Applied Psychology以及权威期刊Journal of Organizational Behavior的编委会成员。

活动简介

Over the past decade, social network research has been a powerful tool to understand important organizational phenomena spanning different research areas, such as leadership (Carter, DeChurch, Braun, & Contractor, 2015), teamwork (Li, Zhao, Walter, Zhang, & Yu, 2015), creativity and innovation (Perry-Smith & Shalley, 2003), power and influence (Ibarra & Andrews, 1993). A social network approach allows organizational scholars to capture the complex and dynamic interactions among individuals in the workplace and gain a finer grained understanding of the phenomenon of interest. Moving forward, with the fast development of information technology, modern technologies have transformed the way employees work in contemporary organizations. As a result, organizations are increasingly using digital collaboration platforms to encourage more efficient collaborations among employees. Therefore, social network analysis is also a powerful tool in understanding employee behaviors in the digital era. In this presentation, we will synthesize various applications of social network analysis in organizational research in the past and discuss promising future directions of social network research such as digital collaboration, network change, and big data.

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