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The Corporate Partners of Higher Education Associations: A Social Network Analysis

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  • Amy Metcalfe

Abstract

Higher education associations, the nonprofit entities that serve as professional development organizations for postsecondary administrators and faculty, are sites of university-industry (UI) contact, although these organizations are rarely examined in the UI literature. This study utilizes social network analysis to discover the indirect connections between industry and the academy as seen through sponsorship relations between corporations and associations. The findings show that several influential North American companies are connected to prominent higher education associations, particularly those associations that serve 'managerial professionals.' These corporate-association ties may be pathways for increased market-like behaviors in postsecondary education.

Suggested Citation

  • Amy Metcalfe, 2006. "The Corporate Partners of Higher Education Associations: A Social Network Analysis," Industry and Innovation, Taylor & Francis Journals, vol. 13(4), pages 459-479.
    • Handle: RePEc:taf:indinn:v:13:y:2006:i:4:p:459-479
    DOI: 10.1080/13662710601032846
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    Citations

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    Cited by:

    1. Susan Biancani & Daniel McFarland, 2013. "Social Networks Research in Higher Education," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 85-126.
    2. Daniel Alonso‐Martínez & Nuria González‐Álvarez & Mariano Nieto, 2019. "The influence of financial performance on corporate social innovation," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(4), pages 859-871, July.
    3. Mu-Hsuan Huang & Hsiao-Wen Yang & Dar-Zen Chen, 2015. "Industry–academia collaboration in fuel cells: a perspective from paper and patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1301-1318, November.
    4. Xia Gao & Jiancheng Guan, 2009. "Networks of scientific journals: An exploration of Chinese patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 283-302, July.

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