K
Ken A. Smith
Researcher at Syracuse University
Publications - 13
Citations - 5629
Ken A. Smith is an academic researcher from Syracuse University. The author has contributed to research in topics: Organizational performance & Competitive advantage. The author has an hindex of 10, co-authored 13 publications receiving 5404 citations.
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Top Management Team Demography and Process: The Role of Social Integration and Communication
TL;DR: In this paper, the authors used data from 53 high-technology firms to test three alternative models of the effects of the top management team's demography and process on organizational performance.
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Top Management Team Demography and Process: The Role of Social Integration and Communication
TL;DR: In this paper, the authors used data from 53 high-technology firms to test three alternative models of the effects of the top management team's demography and process on organizational performance.
Journal ArticleDOI
Making Use of Difference: Diversity, Debate, and Decision Comprehensiveness in Top Management Teams
TL;DR: In this article, the authors examined how top management team diversity variables and debate interacted to influence two measures of company financial performance and assessed the degree to which decision making was influenced by debate.
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Top management team diversity, group process, and strategic consensus
Don Knight,Craig L. Pearce,Ken G. Smith,Judy D. Olian,Henry P. Sims,Ken A. Smith,Patrick C. Flood +6 more
TL;DR: The authors integrated concepts from upper echelons, group process and social cognition theories to investigate how demographic diversity and group processes influence strategic consensus within the top management team (TMT), where strategic consensus is defined as the degree to which individual mental models of strategy overlap.
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Interfirm Alliances in the Small Business: The Role of Social Networks
Anat BarNir,Ken A. Smith +1 more
TL;DR: In this article, the authors explored whether the social network of small firm executives can be leveraged to facilitate the establishment of interfirm alliances, and found that the number of inter-firm alliances is positively related to several networking properties (propensity to network, strength of ties, and network prestige).