Proceedings of the 51st Hawaii International Conference on System Sciences 2018
DOI: 10.24251/hicss.2018.624
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University-Industry Programs as Platforms: A Case Study of Multi-Disciplinary Collaborative Network Development

Abstract: This paper shows how University-Industry (UI) liaisons can be studied in light of the emerging and insightful literature on platforms. Applying the concept of platforms to University-Industry programs, this paper describes one industry affiliate program and analyzes its synergistic impact on multidisciplinary involvement and collaboration network development. Insights and recommendations are made for catalyzing mutually beneficial collaborations through research themes as mechanisms for platform orchestration.

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Cited by 2 publications
(2 citation statements)
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“…In 2018, papers in the "Managing Platforms and Ecosystems" minitrack applied data analytical methods to explore network development in a university-industry program [14], business models in an emerging Fintech sector [15], and value co-creation in the Internet of Things [16]. They examined the impact of social media on networks of hype [17] and reputation in a restaurant ecosystem [18].…”
Section: Historical Perspectivementioning
confidence: 99%
“…In 2018, papers in the "Managing Platforms and Ecosystems" minitrack applied data analytical methods to explore network development in a university-industry program [14], business models in an emerging Fintech sector [15], and value co-creation in the Internet of Things [16]. They examined the impact of social media on networks of hype [17] and reputation in a restaurant ecosystem [18].…”
Section: Historical Perspectivementioning
confidence: 99%
“…In keeping with Sicilia et al universities should invest more in teaching digital competences, due to an increasing demand by industry. The platform concept proposed by Hajikhani et al (2018)can serve as a suitable medium to facilitate knowledge transfer and knowledge sharing.…”
Section: Single Relationships Of the Stakeholders And Learning Enviromentioning
confidence: 99%