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University–Industry Collaboration: Assessing the Matching Quality Between Companies and Academic Partners | IEEE Journals & Magazine | IEEE Xplore

University–Industry Collaboration: Assessing the Matching Quality Between Companies and Academic Partners


Abstract:

Firms engaged in university-industry collaboration (UIC) desire to advance knowledge and new technologies with their academic partners, however the performance of knowled...Show More

Abstract:

Firms engaged in university-industry collaboration (UIC) desire to advance knowledge and new technologies with their academic partners, however the performance of knowledge creation and transfer is greatly affected by complementarity and compatibility between the firm and academic institute. In practice, many firms assess the appropriateness of academic partners using a broad range of criteria, with high subjectivity. This paper therefore seeks to address this challenge by introducing a systematic approach to help firms determine the appropriateness of academic partners, represented as “matching quality” in this paper. Three facets of matching quality are examined: complementarity of research ability, compatibility in business mindset, and compatibility in relationships. This paper proposes a framework and model for assessing matching quality, along with a case study to demonstrate how the proposed model works.
Published in: IEEE Transactions on Engineering Management ( Volume: 68, Issue: 5, October 2021)
Page(s): 1418 - 1435
Date of Publication: 15 May 2019

ISSN Information:

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I. Introduction

Many firms decide to engage in university–industry collaboration (UIC) to advance their scientific knowledge and technology in the mission of innovation development [1]–[3]. The popularity of UIC has been driven by various factors, such as encouraging policies of government in the triple helix model [2], [4], [5], the supportive mission of commercialization and the vision of entrepreneurial universities [6]–[9], the multidisciplinary character of state-of-the-art technologies, and the enhancement of corporate image [5]. Searching for well-matched academic partners can be challenging for a firm, however, as there are many choices of academic partners with a large range of characteristics. A successful collaboration relies on the effectiveness of knowledge creation and knowledge transfer [10]. There are diverse reasons for the failure of technology partnerships, such as strategic or goal divergence, cultural mismatch, lack of commitment, and asymmetric incentives [11], [12]. Many UICs become unproductive and rough due to a gap in the research agenda between the firm's demand for applied research versus academia's preference for basic research [13]–[15], a gap in agreement about intellectual property management between a firm's policy of knowledge protection versus academia's mission of knowledge revelation [2], [16]–[18], and the gap in organizational culture between a firm's active working procedure versus academia's bureaucratic working style [19], [20], and [21].

Cites in Papers - |

Cites in Papers - IEEE (6)

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1.
Li Yao, Jun Li, Jie Cen, "Unpacking the Mechanism of the Economic Impact of University Interdisciplinary Research: A Topic Modeling Approach", IEEE Transactions on Engineering Management, vol.72, pp.471-490, 2025.
2.
Ruishuang Qi, Lili Dong, Tiantian Yang, "Research on the Applicability of Convolutional Neural Network Models in the Integration of Industry and Education in Vocational Colleges", 2024 IEEE International Conference on Cognitive Computing and Complex Data (ICCD), pp.442-445, 2024.
3.
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4.
Nihan Yıldırım, Deniz Tunçalp, "A Policy Design Framework on the Roles of S&T Universities in Innovation Ecosystems: Integrating Stakeholders’ Voices for Industry 4.0", IEEE Transactions on Engineering Management, vol.70, no.7, pp.2608-2625, 2023.
5.
Nisit Manotungvorapun, Nathasit Gerdsri, "Systematic Approach Driving toward Effective University-Industry Collaboration (UIC)", 2022 Portland International Conference on Management of Engineering and Technology (PICMET), pp.1-20, 2022.
6.
Nathasit Gerdsri, Nisit Manotungvorapun, "Systemizing the Management of University-Industry Collaboration: Assessment and Roadmapping", IEEE Transactions on Engineering Management, vol.69, no.1, pp.245-261, 2022.

Cites in Papers - Other Publishers (8)

1.
Nathasit Gerdsri, Phoemsak Suksiri, Tunyawat Somjaitaweeporn, Temsiri Sapsaman, "Robotics and Automation Roadmap: Thailand Perspectives", International Journal of Automation Technology, vol.18, no.6, pp.754, 2024.
2.
Mahak Bisen, Prakash Sai Lokachari, "Fostering Academia–Industry R&D Partnerships: A Study in the Indian Context Using Mixed Methods Approach", International Journal of Global Business and Competitiveness, 2024.
3.
Antonio O. Martín-Martín, Victor A. Bañuls, Rocío Ruiz-Benítez, "Technology Transfer Assessment in Regional Business Contexts", Sustainability, vol.15, no.15, pp.11680, 2023.
4.
José da Assunção Moutinho, Gabriela Fernandes, Roque Rabechini Jr, "Knowledge co-creation in project studies: The research context", Project Leadership and Society, pp.100090, 2023.
5.
Guilong Zhu, Fu Sai, Zitao Qin, "How technological relatedness influences inter-firm collaborative performance: an empirical study on 5 high-tech fields of scientific and technological achievements", European Journal of Innovation Management, 2022.
6.
Nathasit Gerdsri, Pard Teekasap, "Identifying Potential Areas for Circular Economy Development from the Perspective of Developing Economies: Using Patent and Bibliometric Analyses", International Journal of Automation Technology, vol.16, no.6, pp.838, 2022.
7.
Nathasit Gerdsri, Nisit Manotungvorapun, "Readiness Assessment for IDE Startups: A Pathway toward Sustainable Growth", Sustainability, vol.13, no.24, pp.13687, 2021.
8.
Tuula Lehtimäki, Hanna Komulainen, "Matching Co-innovation Project Types to Diverse Customer Relationships: Perspective of an Industrial Technology Supplier", International Journal of Innovation and Technology Management, vol.18, no.01, pp.2050048, 2021.
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References

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