[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.15207/JKCS.2021.12.7.221

Factors Influencing Innovation Performance through Industry-Research Institute Cooperation of Researchers at Government-Funded Research Institutes in Daedeok Innopolis: An fsQCA Approach

Hwang, Kyung-Yun (Science & Technology Knowledge Research Institute, Chungnam National University)
Sung, Eul-Hyun (Science & Technology Knowledge Research Institute, Chungnam National University)

Publication Information

Journal of the Korea Convergence Society / v.12, no.7, 2021 , pp. 221-233 More about this Journal

Abstract

The purpose of this study is to analyze the effects of determinants of innovation performance on innovation performance in industry-research institute(IR) cooperation for researchers of government-funded research institutes in Daedeok Innopolis. We reviewed the existing literature on the determinants of innovation performance through cooperation, and established a conceptual framework to analyze the combinatorial effect of the determinants of innovation performance on innovation performance in IR cooperation. Data for empirical analysis were collected through a questionnaire survey targeting researchers at a government-funded research institute in Daedeok Innopolis. The fuzzy-set qualitative comparative analysis (fsQCA) was used to analyze the combined effect of determinants of innovation performance. The fsQCA results show that the configuration of high motivation, high trust, high commitment and high satisfaction of researchers of government-funded research institutes improve innovation performance. On the other hand, it shows that the configuration of high motivation, high trust, low commitment and low satisfaction of the researcher improves innovation performance.

Keywords

Industry-Research Institute Cooperation; Innovation Performance; Motivation; Trust; Commitment;

Citations & Related Records

Reference

1	W. U. Hameed & F. Naveed. (2019). Coopetition-Based Open-Innovation and Innovation Performance: Role of Trust and Dependency Evidence from Malaysian High-Tech SMEs. Pakistan Journal of Commerce and Social Sciences, 13(1), 209-230. DOI: http://hdl.handle.net/10419/196194
2	M. J. Sanzo, L. I. Alvarez, M. Rey & N. Garcia. (2015). Business-nonprofit partnerships: a new form of collaboration in a corporate responsibility and social innovation context. Service Business, 9, 611-636. DOI: https://doi.org/10.1007/s11628-014-0242-1 DOI
3	J. F. Hair Jr, M. C. Howard & C. Nitz. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110. DOI
4	C. Fornell & D. F. Larcker. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. DOI
5	R. Kanfer, M. Frese & R. E. Johnson. (2017). Motivation related to work: a century of progress. Journal of Applied Psychology, 102(3), 338-355. DOI: 10.1037/apl0000133 DOI
6	E. A. Saether. (2019). Motivational antecedents to high-tech R&D employees' innovative work behavior: Self-determined motivation, person-organization fit, organization support of creativity, and pay justice. The Journal of High Technology Management Research, 30(2), 100350. DOI: https://doi.org/10.1016/j.hitech.2019.100350 DOI
7	Y. Zhu, D. G. Gardner & H. Chen. (2018). Relationships between work team climate, individual motivation, and creativity. Journal of Management, 44(5), 2094-2115. DOI: https://doi.org/10.1177/0149206316638161 DOI
8	K. Shahzad, P. Arenius, A. Muller, M.A. Rasheed & S. U. Bajwa. (2019). Unpacking the relationship between high-performance work systems and innovation performance in SMEs. Personnel Review, 48(4), 977-1000. DOI: https://doi.org/10.1108/PR-10-2016-0271 DOI
9	L. Lee, P. K. Wong, M. D. Foo, A. Leung. (2011). Entrepreneurial intentions: the influence of organizational and individual factors. Journal of Business Venturing, 26(1), 124-136. DOI
10	J. A. Antoncic & B. Antoncic. (2011). Employee satisfaction, intrapreneurship and firm growth: A model. Industrial Management & Data Systems, 111(4), 589-607. DOI
11	A. G. Woodside. (2013). Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory. Journal of Business Research, 66(4), 463-472. DOI
12	R. Eisenberger & L. Shanock. (2003). Rewards, intrinsic motivation, and creativity: A case study of conceptual and methodological isolation. Creativity Research Journal, 15, 121-130. DOI
13	F. C. Tseng, M. H. Huang & D. Z. Chen. (2020). Factors of university-industry collaboration affecting university innovation performance. The Journal of Technology Transfer, 45, 560-577. DOI: https://doi.org/10.1007/s10961-018-9656-6 DOI
14	E. S. O. Escobar, J. Berbegal-Mirabent, I. Alegre & O. G. Velasco. (2017). Researchers' willingness to engage in knowledge and technology transfer activities: an exploration of the underlying motivations. R&D Management, 47(5), 715-726. DOI: https://doi.org/10.1111/radm.12263 DOI
15	P. C. Fiss. (2011). "Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393- 420. DOI
16	D. M. Martins, A. C. de Faria, L. C. Prearo & A. G. S. Arruda. (2017). The level of influence of trust, commitment, cooperation, and power in the interorganizational relationships of Brazilian credit cooperatives. Revista de Administracao, 52(1), 47-58. DOI: https://doi.org/10.1016/j.rausp.2016.09.003 DOI
17	L. K. Scheer, F. C. Miao & R. W. Palmatier. (2015). Dependence and Interdependence in Marketing Relationships: Meta-Analytic Insights. Journal of the Academy of Marketing Science, 43, 694-712. DOI
18	J. R. Brown, J. L. Crosno & P. Y. Tong. (2019). Is the Theory of Trust and Commitment in Marketing Relationships Incomplete?. Industrial Marketing Management, 77, 155-169. DOI
19	B. Rihoux & C. C. Ragin. (2008). Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques. Thousand Oaks CA : Sage Publications.
20	J. Dul. (2016). Identifying single necessary conditions with NCA and fsQCA. Journal of Business Research, 69(4), 1516-1523. DOI
21	A. G. Woodside. (2014). Embrace.perform.model: Complexity theory, contrarian case analysis, and multiple realities. Journal of Business Research, 67(12), 2495-2503. DOI
22	C. Q. Schneider & C. Wagemann. (2010). Standards of good practice in qualitative comparative analysis (QCA) and fuzzy-sets. Comparative Sociology, 9(3), 397-418. DOI
23	A. G. Woodside & M. Zhang. (2012). Identifying x-consumers using causal recipes: "Whales" and "jumbo shrimps" casino gamblers. Journal of Gambling Studies, 28(1), 13-26. DOI
24	H. J. Niu. (2014). Is innovation behavior congenital? Enhancing job satisfaction as a moderator. Personnel Review, 43(2), 288-302. DOI: https://doi.org/10.1108/PR-12-2012-0200 DOI
25	M. Williams. (2001). In whom we trust: group membership as an affective context for trust development. Academy of Management Review, 26, 377-396. DOI
26	E. Bellini, G. Piroli & L. Pennacchio. (2019). Collaborative know-how and trust in university-industry collaborations: empirical evidence from ICT firms. The Journal of Technology Transfer, 44, 1939-1963. DOI: https://doi.org/10.1007/s10961-018-9655-7 DOI
27	Z. S. Dimitriades. (2006). Customer satisfaction, loyalty and commitment in service organizations: some evidence from Greece. Management Research News, 29(12), 782-800. DOI
28	H. Okamuro & J. Nishimura. (2018) Whose business is your project? A comparative study of different subsidy policy schemes for collaborative R&D. Technological Forecasting and Social Change, 127, 85-96. DOI: https://doi.org/10.1016/j.techfore.2017.07.017 DOI
29	J. Nishimura & H. Okamuro. (2018). Internal and external discipline: The effect of project leadership and government monitoring on the performance of publicly funded R&D consortia. Research Policy, 47(5), 840-853. DOI: https://doi.org/10.1016/j.respol.2018.02.007 DOI
30	R. B. Bouncken & V. Fredrich. (2012). Coopetition: performance implications and management antecedents. International Journal of Innovation Management, 16(5), 1-28.
31	J. Wei, Y. Chen, Y. Zhang & J. Zhang. (2020). How does entrepreneurial self-efficacy influence innovation behavior? Exploring the mechanism of job satisfaction and Zhongyong thinking, Frontiers in Psychology, 11, 708. DOI: 10.3389/fpsyg.2020.00708 DOI
32	V. Nestle, F. A. Taube, S. Heidenreich & M. Bogers. (2019). Establishing open innovation culture in cluster initiatives: The role of trust and information asymmetry. Technological Forecasting and Social Change, 146, 563-572. DOI: https://doi.org/10.1016/j.techfore.2018.06.022 DOI
33	H. Lei, T. T. Nguyen & P. B. Le. (2019). How knowledge sharing connects interpersonal trust and innovation capability: The moderating effect of leadership support. Chinese Management Studies, 13(2), 276-298. DOI: https://doi.org/10.1108/CMS-06-2018-0554 DOI
34	E. Kyriazis, P. Couchman & L. W. Johnson. (2012). Psychosocial antecedents of communication, trust, relationship effectiveness in new product development projects: a functional manager perspective. R&D Management, 42(3), 207-224. DOI
35	J. C. Anderson & B. Weitz. (1989). Determinants of continuity in conventional industrial channel dyads. Marketing Science, 8, 310-323. DOI
36	A. L. Oliver, K. Montgomery & S. Barda. (2020). The multi-level process of trust and learning in university-industry innovation collaborations. The Journal of Technology Transfer, 45, 758-779. DOI: https://doi.org/10.1007/s10961-019-09721-4, DOI
37	L. Wang, J. L. Jin, D. Yang & K. Z. Zhou. (2020). Inter-partner control, trust, and radical innovation of IJVs in China: A contingent governance perspective. Industrial Marketing Management, 88, 70-83. DOI
38	I. Freitas, R. Marques & R., E. Silva. (2013). "University industry collaboration and innovation in emergent and mature industries in new industrialized countries. Research Policy, 42, 443-453. DOI
39	C. M. Ringle, S. Wende & J. M. Becker. (2015). SmartPLS 3. Boenningstedt : SmartPLS GmbH. DOI: http://www.smartpls.com.
40	D. R. de Moraes Silva, A. T. Furtado & N. S. Vonortas. (2018). University-industry R&D cooperation in Brazil: a sectoral approach. The Journal of Technology Transfer, 43, 285-315. DOI: https://doi.org/10.1007/s10961-017-9566-z DOI
41	R. Fontana, A Geuna & M. Matt. (2006). Factors affecting university-industry R&D projects: The importance of searching, screening and signalling. Research Policy, 35, 309-323. DOI
42	H. Merritt. (2015). The role of human capital in university-business cooperation: The case of Mexico. Journal of the Knowledge Economy, 6(3), 568-588. DOI: https://doi.org/10.1007/s13132-015-0258-3 DOI
43	C. C. Ragin & B. Rihoux. (2004). Qualitative comparative analysis (QCA): State of the art and prospects. Qualitative Methods, 2(2), 3-13.
44	M. Zareen, K. Razzaq & B. G. Mujtaba. (2015). Impact of transactional, transformational and laissez-faire leadership styles on motivation: A quantitative Study of Banking Employees in Pakistan. Public Organization Review, 15, 531-549. DOI: https://doi.org/10.1007/s11115-014-0287-6 DOI
45	Q. Huang. (2021). Can curious employees be more innovative? exploring the mechanism of intrinsic motivation and job autonomy. Psychology, 12(3), 425-440. DOI: 10.4236/psych.2021.123027 DOI
46	C. Moorman, G. Zaltman & R. Deshpande. (1992). Relationship between providers and user of marketing research. Journal of Marketing Research, 29, 314-329. DOI
47	L. Owen, C. Goldwasser, K. Choate & A. Blitz. (2008). Collaborative innovation throughout the extended enterprise. Strategy & Leadership, 36(1), 39-45. DOI: https://doi.org/10.1108/10878570810840689 DOI
48	R. M. Ham & D. C. Mowery. (1998). Improving the effectiveness of public-private R&D collaboration: case studies at a US weapons laboratory. Research Policy, 26(6), 661-675. DOI
49	G. Chen, J. L. Farh, E. M. Campbell-Bush, Z. Wu & X. Wu. (2013). Teams as innovative systems: Multilevel motivational antecedents of innovation in R&D teams. Journal of Applied Psychology, 98(6), 1018-1027. DOI: https://doi.org/10.1037/a0032663 DOI
50	P. Paille, N. Amara & N. Halilem. (2018). Greening the workplace through social sustainability among co-workers. Journal of Business Research, 89, 305-312. DOI: https://doi.org/10.1016/j.jbusres.2017.12.044 DOI
51	M. Thompson & P. Heron. (2006). Relational quality and innovative performance in R&D based science and technology firms. Human Resource Management Journal, 16(1), 28-47. DOI
52	N. Yang, Y. Song, Y. Zhang & J. Wang. (2020). Dark side of joint R&D collaborations: dependence asymmetry and opportunism. Journal of Business & Industrial Marketing, 35(4), 741-755. DOI: https://doi.org/10.1108/JBIM-11-2018-0354 DOI
53	J. Zhang, J. Guo, J. Jiang, X. Wu & R. Jiang. (2021). Moderating effect of requirements uncertainty on task interdependence and NPD performance. Industrial Management & Data Systems, 121(2), 456-477. DOI: https://doi.org/10.1108/IMDS-08-2020-0490
54	S. Lowik, J. Kraaijenbrink & A. J. Groen. (2017). Antecedents and effects of individual absorptive capacity: a micro-foundational perspective on open innovation. Journal of Knowledge Management, 21(6), 1319-1341. DOI: https://doi.org/10.1108/JKM-09-2016-0410 DOI
55	STEPI. (2020), The Policy Path for Technology Commercialization on the Past 20 Years and for the Next, Sejong : Science and Technology Policy Institute. https://www.stepi.re.kr/
56	M. Khadhraoui, M. Plaisent, L. Lakhal & B. Prosper. (2016). Factors inhibiting university-industry technology transfer. Journal of Information Technology and Economic Development, 7(2), 1-11.
57	L. Raymond & J. St-Pierre. (2004). Customer dependency in manufacturing SMEs: implications for R&D and performance. Journal of Small Business and Enterprise Development, 11(1), 23-33. DOI
58	S. Tsai. (2018). Using the DEMATEL model to explore the job satisfaction of research and development professionals in china's photovoltaic cell industry. Renewable and Sustainable Energy Reviews, 81, 62-68. DOI: https://doi.org/10.1016/j.rser.2017.07.014 DOI
59	A. S. Patrucco, A. Moretto, D. Luzzini & A. H. Glas. (2020). Obtaining supplier commitment: antecedents and performance outcomes. International Journal of Production Economics, 220, 107449. DOI: 10.1016/j.ijpe.2019.07.022 DOI
60	S. Castellano, K. Chandavimol, I. Khelladi & M. A. Orhand. (2021). Impact of self-leadership and shared leadership on the performance of virtual R&D teams. Journal of Business Research, 128, 578-586. DOI: https://doi.org/10.1016/j.jbusres.2020.12.030 DOI
61	R. Jacob, P. A. Julien & L. Raymond. (1997). Developing the network enterprise: foundations, technologies and experiences. Proceedings of the 7th International Forum on Technology Management, 3-7, 178-183.
62	T. W. H. Ng & D. C. Feldman. (2010). The impact of job embeddedness on innovation-related behaviors. Human Resource Management, 49(6), 1067-1087. DOI: https://doi.org/10.1002/hrm.20390 DOI
63	C. C. Ragin & S. Davey. (2014). Fuzzy-set/ qualitative comparative analysis 2.5. Irvine, California : Department of Sociology, University of California.
64	N. Hogevold, G. Svensson & C. Otero-Neira. (2020). Trust and commitment as mediators between economic and non-economic satisfaction in business relationships: A sales perspective. Journal of Business & Industrial Marketing, 35(11), 1685-1700. DOI
65	C. C. Ragin. (2007). Fuzzy sets: Calibration versus measurement. Methodology Volume of Oxford Handbooks of Political Science, 2, 1-31.
66	C. C. Ragin. (2008). Redesigning social inquiry: Fuzzy sets and beyond. Chicago : University of Chicago Press.