Critical success factors in university-industry collaboration: a bibliometric analysis

Authors

DOI:

https://doi.org/10.33448/rsd-v10i13.21316

Keywords:

University-Industry; Critical Success Factors; Bibliometry; Innovation; Networks.

Abstract

Considering the technological development, and particularly the global pandemic of COVID-19, it is essential to align universities and companies as agents in the transformation of society. However, a portion of academic research results does not find application in the productive sector. To better understand such (dis)connection, this study aims to verify in the scientific literature the critical success factors proper to the collaboration between universities and companies. Therefore, a bibliographic survey was carried out in the Scopus and Web of Science databases, considering the period 2000-2020 as temporality. From a quantitative point of view, a bibliometric analysis is presented regarding the year of publication, origin, thematic categories, authorship and co-citation networks, and with a qualitative character, through content analysis, critical factors were identified, with emphasis on trust, commitment, assumption of risks, realistic and well-defined objectives, managerial engagement of project coordinators, university reputation, previous experience in collaboration, communication and organizational culture.

Author Biographies

Ernani José Fortunato Lisbôa Enke , Universidade Nove de Julho

1 Postgraduate Program in Production Engineering, Nove de Julho University (UNINOVE);

2 Administration, Federal Institute of Education, Science and Technology of São Paulo (IFSP)

Mauro Luiz Martens , Universidade de Sao Paulo

Postgraduate Program in Production Engineering, Universidade of Sao Paulo (USP)

 

Cristina Dai Prá Martens , Universidade Nove de Julho

Postgraduate Program in Project Management

Dariane Beatriz Schoffen Enke , State University of São Paulo

Administration, Registro Experimental Campus

José Celso Contador , Universidade Paulista

Postgraduate Program in Administration

Thyago Bachim , Universidade Nove de Julho

Postgraduate Program in Production Engineering

Aparecido dos Reis Coutinho , Universidade Nove de Julho

Postgraduate Program in Production Engineering

Walter Cardoso Satyro, University Nove de Julho

Postgraduate Program in Production Engineering (PPGEP)

References

Al-Shehri, A., A-b Ebrahim, M., Shafeek, H., Fekry Soliman, M., & Helmy Abdel-Aziz, M. (2013). Bridging the Gap between University and Industry: Efforts Made at Faculty of Engineering Rabigh - Saudi Arabia. Icaicte, 448–456. Doi:10.2991/ICAICTE.2013.90.

Araújo, C., & Teixeira, A. (2014). Determinants of International Technology Transfer: An Empirical Analysis of the Enterprise Europe Network. Journal of Technology Management and Innovation, 9(3), 120–134.

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.

Barnes, J. L., Zarrugh, M. Y., Lawrence, D. J., & McKown, R. L. (2000). A Government—University—Industry Response to Critical Manufacturing Innovation Needs: Virginia’s Manufacturing Innovation Center. Industry and Higher Education, 14(2), 73–91.

Barnes, T. A., Pashby, I. R., & Gibbons, A. M. (2006). Managing collaborative R&D projects development of a practical management tool. International Journal of Project Management, 24(5), 395–404.

Barnes, T., Pashby, I., & Gibbons, A. (2002). Effective university - Industry interaction: A multi-case evaluation of collaborative R&D projects. European Management Journal, 20(3), 272–285.

Brem, A., & Radziwon, A. (2017). Efficient Triple Helix collaboration fostering local niche innovation projects – A case from Denmark. Technological Forecasting and Social Change, 123, 130–141.

Chen, P.-C., & Hung, S.-W. (2016). An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems. Technological Forecasting and Social Change, 112, 303–312.

Conejero, M.A., Alves, M.de A.R., & de Lima, S.C. (2020). An analysis of the critical success factors of social businesses applied to agribusiness: a multi-cases study. Research, Society and Development, 9(7), 1-30. Doi.org/10.33448/rsd-v9i7.3616.

Contreras, W.E.B., & Víctor William Rojas Lujan. (2021). Determinants of water and sanitation service satisfaction: The opinion of stakeholders in Pacasmayo. Research, Society and Development, 10 (7), 1-15. Doi:10.33448/rsd-v10i7.16462.

Delecroix, B., & Epstein, R. (2004). Co-word analysis for the non-scientific information example of Reuters Business Briefings. Data Science Journal, 3(June), 80–87.

Douglass, J. A. (Ed.). (2016). The new flagship university: Changing the paradigm from global ranking to national relevancy. Springer: Cham.

Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From National Systems and “mode 2” to a Triple Helix of university-industry-government relations. Research Policy, 29(2), 109–123.

Feng, L., Zhang, X., & Zhou, K. (2018). Current problems in China’s manufacturing and countermeasures for industry 4.0. EURASIP Journal on Wireless Communications and Networking, 2018(1), 1-6.

Fernandes, G., Araújo, M., Andrade, R., Pinto, E. B., Tereso, A., & Machado, R. J. (2020). Critical factors for benefits realisation in collaborative university-industry R&D programs. International Journal of Project Organisation and Management, 12(1), 1–30.

Fischer, B. B., Schaeffer, P. R., & Vonortas, N. S. (2019). Evolution of university-industry collaboration in Brazil from a technology upgrading perspective. Technological Forecasting and Social Change, 145(April), 330–340.

Gustavsson, L., Nuur, C., & Söderlind, J. (2016). An Impact Analysis of Regional Industry—University Interactions: The Case of Industrial PhD Schools. Industry and Higher Education, 30(1), 41–51.

Hadiwattege, C., Senaratne, S., Sandanayake, Y. G., & Fernando, N. (2020). Merging Academic Research and Industry Requirements for Innovative Construction Management Practices in Sri Lanka: A Study on Critical Success Factors. International Journal of Construction Education and Research. Article in press. doi-org.ez345.periodicos.capes.gov.br/10.1080/15578771.2020.1781303.

Hanid, M., Mohamed, O., Othman, M., Danuri, M. S. M., Ye, K. M., & berawi, M. A. (2019). Critical success factors (CSFs) in university-industry collaboration (UIC) projects in research universities. International Journal of Technology, 10(4), 667–676.

Hernández, M. L. C., Romero, V. V, Rosas, L. V, & Téllez, R. D. (2014). A decision analytic-value-based methodology for analysing university-industry collaborations. International Journal of Applied Decision Sciences, 7(1), 44–65.

Hidalgo, A., & Albors, J. (2011). University-industry technology transfer models: An empirical analysis. International Journal of Innovation and Learning, 9(2), 204–223.

Kashyap, A., & Agrawal, R. (2019). Academia a new knowledge supplier to the industry! Uncovering barriers in the process. Journal of Advances in Management Research, 16(5), 715–733.

Lalic, B., Todorovic, T., Medic, N., Bogojevic, B., Ciric, D., & Marjanovic, U. (2019). The impact of inter-organizational cooperation on R&D expenditure of manufacturing companies. Procedia Manufacturing, 39(2019), 1401–1406.

Leicht, R. M., Franz, B., & Molenaar, K. R. (2014). Successful university research programs with extensive industry involvement. Practice Periodical on Structural Design and Construction, 19(1), 57–62.

Mosayebi, A., Ghorbani, S., & Masoomi, B. (2020). Applying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration. Decision Science Letters, 9(1), 107–118.

Mourtzis, D., Tsakalos, D., Xanthi, F., & Zogopoulos, V. (2019). Optimization of highly automated production line: An advanced engineering educational approach. Procedia Manufacturing, 31, 45–51.

OECD/Eurostat (2018), Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation, 4th Edition, The Measurement of Scientific, Technological and Innovation Activities, OECD Publishing, Paris/Eurostat, Luxembourg.

Passarelli, M., Landi, G. C., Cariola, A., & Sciarelli, M. (2020). Open innovation in the new context of proof of concepts: evidence from Italy. European Journal of Innovation Management, 24(3), 735-755.

Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Broström, A., D’Este, P., Fini, R., Geuna, A., Grimaldi, R., Hughes, A., Krabel, S., Kitson, M., Llerena, P., Lissoni, F., Salter, A., & Sobrero, M. (2013). Academic engagement and commercialisation: A review of the literature on university-industry relations. Research Policy, 42(2), 423–442.

Plewa, C., Korff, N., Baaken, T., & Macpherson, G. (2013). University-industry linkage evolution: An empirical investigation of relational success factors. R and D Management, 43(4), 365–380.

Pogodaeva, T., Zhaparova, D., & Efremova, I. (2015). Changing Role of the University in Innovation Development: New Challenges for Russian Regions. Procedia - Social and Behavioral Sciences, 214, 359–367.

Potts, C. (1993). Software-Engineering Research Revisited. IEEE Software, 10(5), 19–28.

Puangpronpitag, S. (2019). Triple Helix Model and Knowledge-Based Entrepreneurship in Regional Engagement: A Case Study of Thai and UK Universities. Procedia Computer Science, 158, 565–572.

Rosendo-Rios, V., Ghauri, P. N., & Zhang, Y. (2017). Empirical analysis of the key factors that can contribute to university-industry cooperational success from a relationship marketing approach. European Journal of International Management, 10(6), 647–677.

Salimi, N., Bekkers, R., & Frenken, K. (2016). Success factors in university-industry PhD projects. Science and Public Policy, 43(6), 812–830.

Salmi, P., & Torkkeli, M. (2009). Success factors of interorganisational knowledge transfer: A case of a collaborative public private R&D project. International Journal of Business Innovation and Research, 3(2), 109–125.

Sandberg, A., Pareto, L., & Arts, T. (2011). Agile collaborative research: Action principles for industry-academia collaboration. IEEE Software, 28(4), 74–83.

Santoro, M. D. (2000). Success breeds success: The linkage between relationship intensity and tangible outcomes in industry-university collaborative ventures. Journal of High Technology Management Research, 11(2), 255–273.

Santoro, M. D., & Chakrabarti, A. K. (2002). Firm size and technology centrality in industry–university interactions. Research Policy, 31(7), 1163–1180.

Silva, A.C. (2020). Organizational change: a transition model. Research, Society and Development, 9(6), 1-22. doi:10.33448/rsd-v9i6.3464.

Siriwardhana, Y., De Alwis, C., Gur, G., Ylianttila, M., & Liyanage, M. (2020). The Fight against COVID-19 Pandemic with 5G Technologies. IEEE Engineering Management Review, 48(3), 72-84.

Sjöö, K., & Hellström, T. (2019). University–industry collaboration: A literature review and synthesis. Industry and Higher Education, 33(4), 275–285.

Suh, Y., Woo, C., Koh, J., & Jeon, J. (2019). Analysing the satisfaction of university–industry cooperation efforts based on the Kano model: A Korean case. Technological Forecasting and Social Change, 148, 119740.

Thoben, K.-D., Wiesner, S. A., & Wuest, T. (2017). “Industrie 4.0” and smart manufacturing-a review of research issues and application examples. International Journal of Automation Technology, 11(1), 4–16.

Thune, T. (2011). Success Factors in Higher Education-Industry Collaboration: A case study Of collaboration in the engineering field. Tertiary Education and Management, 17(1), 31–50.

Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.

Veza, I., Gjeldum, N., & Mladineo, M. (2015). Lean Learning Factory at FESB – University of Split. Procedia CIRP, 32, 132–137.

Vijayan, K. K., Mork, O. J., & Giske, L. A. L. (2019). Integration of a Case Study into Learning Factory for Future Research. Procedia Manufacturing, 31, 258–263.

Weng, H.-J., & Chang, D.-F. (2016). Determining the influence of heterogeneity in graduate institutions on university–industry collaboration policy in Taiwan. Asia Pacific Education Review, 17(3), 489–499.

Wohlin, C., Aurum, A., Angelis, L., Phillips, L., Dittrich, Y., Gorschek, T., Grahn, H., Henningsson, K., Kågström, S., Low, G., Rovegard, P., Tomaszewski, P., Van Toorn, C., & Winter, J. (2012). The success factors powering industry-academia collaboration. IEEE Software, 29(2), 67–73.

Xu, G., Wu, Y., Minshall, T., & Zhou, Y. (2018). Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China. Technological Forecasting and Social Change, 136, 208–221.

Zhimin, G., Zhongpeng, C., & Jin, T. (2016). Empirical Study of the Role of Government Support and Success Factors in Industry-University-Institute Cooperation. Chinese Education and Society, 49(3), 166–181.

Znagui, Z., & Rahmouni, B. (2019). What ecosystem model to support the creation of social innovation technopoles? Procedia Computer Science, 158, 877–884.

Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472.

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Published

10/10/2021

How to Cite

ENKE , E. J. F. L. .; MARTENS , M. L. .; MARTENS , C. D. P.; ENKE , D. B. S.; CONTADOR , J. C. . .; BACHIM , T.; COUTINHO , A. dos R.; SATYRO, W. C. Critical success factors in university-industry collaboration: a bibliometric analysis. Research, Society and Development, [S. l.], v. 10, n. 13, p. e248101321316, 2021. DOI: 10.33448/rsd-v10i13.21316. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/21316. Acesso em: 16 nov. 2024.

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Engineerings