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http://dx.doi.org/10.9723/jksiis.2022.27.3.145

The Mediation Effect of Open Innovation Activity and Resilience in the Relationship between Preparation Competency for Industry-University Cooperation and Company Performance  

Kim, EungHo (계명대학교 산학협력단)
Hong, KwanSoo (계명대학교 경영학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.27, no.3, 2022 , pp. 145-164 More about this Journal
Abstract
In this study, factors necessary for successful industry-university cooperation of SMEs(small and medium-sized enterprises) were identified. The structure of the TOE (Technology, Organization, Environment) framework was considered for a company's industry-university cooperation preparation capacity, and open innovation collaboration and resilience were utilized as a mediating effect between industry-university cooperation preparation capacity and corporate performance. This study verified the model through a structured questionnaire targeting 204 SMEs with industry-university cooperation experience. As a result, it was confirmed that it was important for companies to make diversified efforts by accommodating industry-university cooperation to obtain results from industry-university cooperation.
Keywords
Industry-university cooperation; SMEs; TOE framework; Open innovation; Resilience;
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Times Cited By KSCI : 6  (Citation Analysis)
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1 Jeon, Dae Uk. (2013). Considering the Concept of Resilience toward Applying to System. Dynamics Approach. Korean System Dynamics Review. 14(2), 5-30.
2 Walker, B., Holling, C. S., Carpenter, S. R. and Kinzig, A. (2004). Resilience, adaptability and transformability in social- ecological systems. Ecology and Society, 9(2), 5, from http://www.ecologyandsociety.org/vol9/iss2/art5/.
3 Wetzels, M., Odekerken-Schroder, G., and Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177-195.   DOI
4 Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
5 Won, In Seong. (2007). Factors Influencing Firm Performances in Group-Based Incentive Programs. Journal of Human Resource Management Research., 14(4), 34-47.
6 Kim Dae-Hui and JongKeun Kim (2017). The Effects of R&D Capability and Market Orientation on Product Innovation Performance : The Moderating Role of Technological Innovation Orientation. Journal of the Korea Society Industrial Information Systems Research, 22(4), 79-95.   DOI
7 Kaplan, R. S. and Norton, D. P. (1996). Using the balanced scorecard as a strategic management system. Harvard Business Review, 74(1), 75-85.
8 Haimes, Y. Y. (2006). On the definition of vulnerabilities in measuring risks to infrastructures. Risk Analysis: An International Journal, 26(2), 293-296.   DOI
9 Wilcox, D. T., Richards, F. and O'Keeffe, Z. C. (2004). Resilience and risk factors associated with experiencing childhood sexual abuse. Journal of the British Association for the Study and Prevention of Child Abuse and Neglect, 13(5), 338-352.
10 Wilson, B., and Henseler, J. (2007). Modeling reflective higher-order constructs using three approaches with PLS path modeling: A monte carlo comparison. Australian and New Zealand Marketing Academy Conference, Otago, Australia.
11 Yoon, Byungun and Lee, Sungjoo. (2010). Open Innovation Models in SMEs. Journal of Korea Technology Innovation Society, 13(1), 160-183.
12 Yun Jong-Weon. (2005). Study on Impact of SCM-BSC Implementation Degree on Performance Measurement System and Corporate Performance. Ph. D. Thesis, The Graduate School of Chung-Ang University, Seoul, Korea.
13 Cui Wei and Jung Jin-Sup. (2015). A Study on Relationships among Firm's Internal and External Factors, Open Innovation Activity and Open Innovation Performance. Korean Corporation Management Review, 22(6), 105-125.
14 Cho, Byung-Kill and Kim, Sung-Hong. (2013). The impact of open innovation activities on new product development and business performance. Journal of the Korean Production and Operations Management Society, 24(1), 1-23.   DOI
15 Christopher, M. and Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1-13.   DOI
16 Conway, G., Waage, J. and Delaney, S. (2010). Science and innovation for development. London: UK Collaborative on Development Sciences.
17 Dedrick, J. and West, J. (2004). An exploratory study into open source platform adoption. IEEE, 37th Annual Hawaii International Conference on System Sciences, Hawaii.
18 Dyer, J. G. and McGuinness, T. M. (1996). Resilience: Analysis of the concept. Archives of Psychiatric Nursing, 10(5), 276-282.   DOI
19 Gemunden, H. G. and Heydebreck, P. (1995). The influence of business strategies on technological network activities. Research Policy, 24(6), 831-849.   DOI
20 Geroski, P. A., and Toker. S. (1996). The turnover of market leaders in UK manufacturing industry, 1979~1986. International Journal of Industrial Organization, 14(1), 141-158.   DOI
21 Hong Mee Keung. (2018). A Study of BSC Evaluation of a Local Government on the Final Achievement. Global Business Administration Review, 15(5), 113-133   DOI
22 Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. (2006). Multivariate data analysis. Hoboken, NJ: Prentice-Hall.
23 Hoffmann, W. H. (2007). Strategies for managing a portfolio of alliances. Strategic Management Journal, 28(8), 827-856.   DOI
24 Hong Eunyoung. (2017). A Study on the Effective Performance According to the Industry-University Relationship : Focusing on mediating effect of I-U barrier and moderating effects of university administration efforts and trust. Ph. D. Thesis, The Graduate School of Hanbat National University, Daejeon, Korea.
25 Hong, Jang Pyo. (2005). The Effect of Technological Collaboration on the Innovation Performance of Small and Medium-sized Firms. Asia Pacific Journal of Small Business, 27(3), 3-32.
26 Kaufmann, A. and Todtling, F. (2002). How effective is innovation support for SMEs? An analysis of the region of upper Austria. Technovation, 22(3), 147-159.   DOI
27 Kim Bong Moon. (2013). Factors affecting the performance of industry-university cooperations. Ph. D. thesis, The Graduate School of Governance Sungkyunkwan University, Seoul, Korea.
28 Kim Chang-Bong and Kwon, Seung-Ha. (2013). Effects of Supply Chain Risk Management from Partnership and Risk Management Performance in SCM of Korea. Korea Trade Review, 38(1), 91-112.
29 Kim Gye Soo. (2013). Easy SEM with smartPLS. Seoul : CHUNGRAM.
30 J. Y. Lee, C. Y. Kim & G. H. Choi. (2016). The effect of external R&D on the innovation efficiency : an empirical study of manufacturing industries in Korea. Journal of the Society of Korea Industrial and Systems Engineering, 39(4), 125-136.   DOI
31 Jang, Kwang-Soon and Kim, Yoon-Beom. (2010). The Effect of Innovation on Business Performances in Small and Medium Enterprises. Journal of Korea Safety Management & Science, 12(4), 239-246.
32 Kim young joe. (2005). The Effect of Technological Collaborations on the Innovation Out puts and Corporate Financial Performance in Small and Medium-size Firms of Busan City. Asia Pacific Journal of Small Business, 27(3), 123-154.
33 Eisenhardt, K. M. and Schoonhoven, C. B. (1996). Resource-based view of strategic alliance formation: Strategic and social effects in entrepreneurial firms. Organization Science, 7(2), 136-150.   DOI
34 Etzkowitz, H. and 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.   DOI
35 Geisler, E. (1995). Industry-university technology cooperation: A theory of inter-organizational relationships. Technology Analysis & Strategic Management, 7(2), 217-229.   DOI
36 Waddock, S. A. (1991). A typology of social partnership organizations. Administration & Society, 22(4), 480-515.   DOI
37 Hong Kwan Soo and Cheong Ki Woong. (2004). The Impact of Environmental Clockspeed, Information Sharing, and Collaboration on Supply Chain Performance. Asia Pacific Journal of Samall Business, 26(2), 77-100.
38 Ko, Tae-Hyung and Kim, Young-Taek. (2012). A Study on Adoption and Performance Analysis in Korea SMEs through Integrate IT Acceptance Model. Korean Journal of Business Administration, 25(5), 2509-2529.
39 Lee, Young Ho and Chae, Myung Sin. (2006). An Empirical Study on the Factors Affecting the Adoption of Enterprise Architecture based on the TOE Framework. Korean Management Science Review, 23(2), 17-39.
40 Kim, Y., Song, K. and Lee, J. (1993). Determinants of technological innovation in the small firms of Korea. R&D Management, 23(3), 215-226.   DOI
41 Kurokawa, S. (1997). Make-or-buy decisions in R&D: Small technology based firms in the United States and Japan. IEEE Transactions on Engineering Management, 44(2), 124-134.   DOI
42 Kwon, Jae-Deuk and Lee, Jin-Choon. (2017). A study on determinants of resilience of firms. Journal of Decision Science, 25(2), 1-24.
43 Lee Eung seog. (2018). Entrepreneurial Orientation, External Oriented Organizational Culture, Open Innovation, and Firm Performance among Korean Manufacturing SMEs. Ph. D. Thesis, The Graduate School of Korea University of Technology Education, Chungcheongnam, Korea.
44 Lee Hyun-Wang. (2008). A Study on the Determinants of Performance inIndustry-Academy. Ph. D. Thesis, The Graduate School of Sangji University, Kangwon, Korea.
45 Lee, Sunwoo and Lee, Heesang. (2004). A Study on an Integrative Model for Big Data System Adoption : Based on TOE, DOI and UTAUT. Journal of Information Technology Applications & Management, 21(4), 463-483.
46 Lichtenthaler, U. (2011). Open innovation: Past research, current debates, and future directions. Academy of Management Perspectives, 25(1), 75-93.   DOI
47 Link, A. N. and Bauer, L. L. (1989). Cooperative research in US. Lanham, MD: Lexington.
48 Belderbos, R., Carree, M. and Lokshin, B. (2004). Cooperative R&D and firm performance. Research Policy, 33(10), 1477-1492.   DOI
49 March, J. G. and Sutton, R. I. (1997). Crossroads-organizational performance as a dependent variable. Organization Science, 8(6), 698-706.   DOI
50 Ahuja, G., Lampert, C. M., and Tandon, V. (2008). Moving beyond Schumpeter: Management research on the determinants of technological innovation. Academy of Management Annals, 2(1), 1-98.   DOI
51 Chesbrough, H. W. and Crowther, A. K. (2006). Beyond high tech: Early adopters of open innovation in other industries. R&D Management, 36(3), 229-236.   DOI
52 Cho, Yeon-Sung. (2016). The Moderating Effects of External Environmental Turbulence toward the Path between the Open Innovation and Export Performance of Manufacturing SMEs. Korean Corporation Management Review, 23(3), 77-97.   DOI
53 Cooperations-Forcusedon Wonju High-Tech Medical Machinery and Tools Industry-. Ph. D. Thesis, The Graduate School of Sangji University, Kangwon. Korea.
54 de Luca, L. M., and Atuahene-Gima, K. (2007). Market knowledge dimensions and cross-functional collaboration: Examining the different routes to product innovation performance. Journal of Marketing, 71(1), 95-112.   DOI
55 Forrest, C. M. and Martin, M. J. C.(1989). Strategic Alliances between Large and Small Research Intensive Organization: Experiences in the Biotechnology Industry. R&D Management, 22(1), 41-53.   DOI
56 Gangwar, H., Date, H., and Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107-130.   DOI
57 Gassmann, O. and Enkel. E. (2004). Towards a theory of open innovation: Three core process archetypes. R&D Management Conference, Lisbon.
58 McManus, J. W. and Polsenberg, J. F. (2004). Coral-algal phase shifts on coral reefs: Ecological and environmental aspects. Progress in Oceanography, 60(2-4), 263-279.   DOI
59 Tidd, J., Bessant, J. and Pavitt, K. (2001). Innovation management. Hoboken, NJ: Wiley.
60 Tornatzky, L. and Fleischer, M. (1990). The process of technology innovation. Lanham, MD: Lexington.
61 Milliken, F. J. (1987). Three types of perceived uncertainty about the environment: State, effect, and response uncertainty. Academy of Management Review, 12(1), 133-143.   DOI
62 Min Hyun-Ku, Kim Tai-Young and Hwang Seung-June. (2012). Open Innovation R&D Efficiency Evaluation by Integrated AHP-DEA. Journal of Korean Society of Industrial and Systems Engineering, 35(4), 149-161.   DOI
63 Park Chulsoon. (2012). Open Innovation in Korean Small and Medium Enterprises: Moderating Role of Satisfaction of Innovation Partners and Corporate Life Cycle. Journal of the Korean Production and Operations Management Society, 23(3), 231-254.   DOI
64 Gulati, R. (2010). Reorganize for resilience: Putting customers at the center of your business. Brighton, MA: Harvard Business School Press.
65 Folke, C., Carpenter, S., Walker, B., Scheffer, M., Elmqvist, T., Gunderson, L. and Holling, C. S. (2004). Regime shifts, resilience, and biodiversity in ecosystem management. Annual Review in Ecology, Evolution and Systematics, 35(1), 557-581.   DOI
66 Scholten, K. and Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471-484.   DOI
67 Sang-Shik Lee (2015). An Empirical Study of Agile Manufacturing and its Business Performance: Focusing on Antecedents of Agility. Journal of the Korea Society Industrial Information Systems Research, 20(1), 103-112.
68 Tsai, K. H. and Wang, J. C. (2009). External technology sourcing and innovation performance in LMT sectors: An analysis based on the Taiwanese technological innovation survey. Research Policy, 38(3), 518-526.   DOI
69 Vanhaverbeke, W., van de Vrande, V. and Chesbrough, H. (2008). Understanding the advantages of open innovation practices in corporate venturing in terms of real options. Creativity and Innovation Management, 17(4), 251-258.   DOI
70 Seo Yong-Mo and Hyun Byung-Hwan. (2019). A study on The Organizational Characteristics of SMEs on Market Performance through the Acceptance of Open Innovation -Focused on Woman's SMEs-. Journal of the Korea Convergence Society, 10(11), 131-141.
71 Park, Song Kun and Kim, Byung Keun . (2014). The effect of incoming knowledge spillover, technological collaborations, and appropriability mechanismsontheInnovation performance of SMEs: moderating effect of patent. Korean management review, 43(1), 95-120.
72 Pettit, T. J. (2008). Supply chain resilience: Development of a conceptual framework, an assessment tool and an implementation process. Published Doctoral Dissertation, The Ohio State University, Columbus, OH.
73 Sisodiya, S. R., Johnson, J. L., and Gregoire, Y. (2013). Inbound open innovation for enhanced performance: Enablers and opportunities. Industrial Marketing Management, 42(5), 836-849.   DOI
74 Song, Geon-Ho. (2010). Impact of Technology Commercialization through Academia-Industrial Cooperation on the Performance of SME & Venture Enterprises. Ph. D. Thesis, The Graduate School of Konkuk University, Seoul, Korea.
75 Stafford, E. R. (1994). Using co-operative strategies to make alliances work. Long Range Planning, 27(3), 64-74.   DOI
76 Bantel, K. A. (1998). Technology-based, "adolescent" firm configurations: Strategy identification, context, and performance. Journal of Business Venturing, 13(3), 205-230.   DOI
77 A. Arora and A. Gambardella. (1994). Evaluating technolological information and utilizing it. Journal of Economic Behavior Organization, 24(1), 91-114.   DOI
78 Aboelmaged, M. G. (2014). Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms. International Journal of Information Management, 34(5), 639-651.   DOI
79 Arranz, N. and de Arroyabe, J. F. (2007). Governance structures in R&D networks: An analysis in the european context. Technological Forecasting and Social Change, 74(5), 645-662.   DOI
80 Sun Jonghak and Seung Woon Kim, (2019). A study on the antecedents and performances of technological innovation in small-medium ventures. Journal of the Korea Society Industrial Information Systems Research, 24(6), 67-79.
81 Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41(1), 116-145.   DOI
82 Roh Doo-Hwan, Hwang, Kyung-Ho and Park Ho-Young. (2017).The impact of open innovation activities on performance of Korean IT SMEs.Venture : Technology Transfer Experiences and Technological Collaborations. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 12(1), 33-46.   DOI
83 Porter, M. (1980). Competitive strategy: Techniques for analyzing industries and competitors. New York: Free Press.
84 Hagedoorn, J., and Schakenraad, J. (1994). The effect of strategic technology alliances on company performance. Strategic Management Journal, 15(4), 291-309.   DOI
85 Boachie-Mensah, F. and Acquah, I. S. (2015). The effect of innovation types on the performance of small and medium-sized enterprises in the Sekondi-Takoradi metropolis. Archives of Business Research, 3(3), 77-98.
86 Burcharth, A. L., Knudsen, M. P. and Sondergaard, H. A. (2014). Neither invented nor shared here: The impact and management of attitudes for the adoption of open innovation practices. Technovation, 34(3), 149-161.   DOI
87 Seo, Yong Mo. (2020). A Study on the Effect of SEMs Characteristic Factors on Corporate Performances - Focused on the mediating effects of Open Innovation -. Ph. D. Thesis, The Graduate School of Daejeon University, Daejeon, Korea.
88 Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M. and Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159-205.   DOI