Asia-Pacific Journal of Business Venturing and Entrepreneurship (벤처창업연구)

The Korean Society of Business Venturing (한국벤처창업학회)
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Influencing Factors on the Likelihood of Start-up Success of Researchers in Public Research Institutes: Using PLS and fsQCA

공공연구기관 연구자의 창업성공가능성에 미치는 영향 요인: PLS와 fsQCA 활용

  • Hwang, Kyung Yun (Science & Technology Knowledge Research Institute, Chungnam National University) ;
  • Sung, Eul Hyun (Science & Technology Knowledge Research Institute, Chungnam National University)
  • 황경연 (충남대학교 과학기술지식연구소) ;
  • 성을현 (충남대학교 과학기술지식연구소)
  • Received : 2021.10.28
  • Accepted : 2022.02.25
  • Published : 2022.02.28
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Abstract

The purpose of this study is to analyze the net effect and the combined effect of the determinants of the likelihood of start-up success of researchers at public research institutes. Based on the existing literature, the determinants of the researcher's likelihood of start-up success were reviewed, and a conceptual relationship between the determinants of the likelihood of start-up success was established. Data collection was conducted through a survey targeting researchers at public research institutes, and a total of 114 data were collected. The partial least squares (PLS) analysis method was used to analyze the net effect of the likelihood of start-up success determinant, and the fuzzy-set qualitative comparative analysis (fsQCA) was used to analyze the combined effect of the likelihood of start-up success determinant. In the PLS analysis results, it was found that technology commercialization probability and creative self-efficacy had a significant positive effect independently on the likelihood of start-up success. In the fsQCA results, we found a combined effect of increasing the likelihood of start-up success when the technology commercialization probability, technology commercialization capability, and creative self-efficacy were high. These research results provide academic implications for understanding the determinants of the likelihood of start-up success of researchers in public research institutes.

본 연구는 공공연구기관 연구자 관점에서 창업성공가능성 결정요인의 순효과와 결합효과를 분석하는데 목적이 있다. 이를 위해 기존 문헌을 기초로 연구자의 창업성공가능성 결정요인을 검토하고, 창업성공가능성 결정요인간의 개념적인 관계를 설정하였다. 자료수집은 대덕연구 개발특구내 공공연구기관 연구자를 대상으로 설문조사를 통해 이루어졌으며, 총 114개의 자료가 수집되었다. PLS 분석방법은 창업성공가능성 결정요인의 순효과를 분석하기 위해 사용되었고, fsQCA는 창업성공가능성 결정요인의 결합적 효과를 분석하기 위해 사용되었다. PLS 분석결과에서 기술사업화가능성과 창의적 자기효능감은 창업성공가능성에 독립적으로 유의적인 정의 영향을 미치는 것을 발견하였다. 반면, 기술사업화역량, 정보접근성 및 네트워크는 창업성공가능성에 유의적인 영향을 미치지 못한다. 한편, fsQCA결과에서 기술사업화가능성, 기술사업화역량 및 창의적 자기효능감이 높으면 창업성공가능성이 높아지는 결합적 효과를 확인하였다. 특히, 공공연구기관 연구자의 창의적 자기효능감은 창업성공가능성에 영향을 미치는 핵심조건인 것으로 나타났다. 이러한 연구결과는 공공연구기관 연구자의 창업성공가능성 결정요인을 이해하는데 학술적 시사점을 제공한다.

Keywords

Acknowledgement

이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2019S1A5C2A03081332)

References

  1. Ahlvik, C., & Bjorkman, I.(2015). Towards Explaining Subsidiary Implementation, Integration, and Internalization of MNC Headquarters HRM Practices. International Business Review, 24(3), 497-505 https://doi.org/10.1016/j.ibusrev.2014.10.007
  2. Bandura, A.(1994). Self-efficacy. In Ramachandran, V. S. (Ed.), Encyclopedia of human behavior. New York: Academic Press.
  3. Banerji, D., & Reimer, T.(2019). Startup Founders and their LinkedIn Connections: Are Well-connected Entrepreneurs more Successful?. Computers in Human Behavior, 90, 46-52. https://doi.org/10.1016/j.chb.2018.08.033
  4. Bell, G., & McNamara, J.(1991). High-Tech Ventures-The Guide for Entrepreneurial Success. MA: Addison-Wesley.
  5. Bonaventura, M., Ciotti, V., Panzarasa, P., Liverani, S., Lacasa, L., & Latora, V.(2020). Predicting Success in the Worldwide Start-up Network. Scientific Reports, 10(1), 1-6. https://doi.org/10.1038/s41598-019-56847-4
  6. Bruderl, J., & Preisendorfer, P.(1998). Network Support and the Success of Newly Founded Businesses. Small Business Economics, 10(3), 213-225. https://doi.org/10.1023/A:1007997102930
  7. Chen, C. J.(2009). Technology Commercialization, Incubator and Venture Capital, and New Venture Performance. Journal of Business Research, 62(1), 93-103. https://doi.org/10.1016/j.jbusres.2008.01.003
  8. Chen, C. J., Chang, C. C., & Hung, S. W.(2011). Influences of Technological Attributes and Environmental Factors on Technology Commercialization. Journal of Business Ethics, 104(4), 525-535. https://doi.org/10.1007/s10551-011-0926-6
  9. Chen, M. H., Chang, Y. Y., & Chang, Y. C.(2015). Entrepreneurial Orientation, Social Networks, and Creative Performance: Middle Managers as Corporate Entrepreneurs. Creativity and Innovation Management, 24(3), 493-507. https://doi.org/10.1111/caim.12108
  10. Chin, W. W.(1998). The Partial Least Squares Approach to Structural Equation Modeling. Modern methods for business research, 295(2), 295-336.
  11. Chorev, S., & Anderson, R.(2006). Success in Israeli High-tech start-ups: Critical Factors and Process. Technovation, 26(2), 162-174. https://doi.org/10.1016/j.technovation.2005.06.014
  12. Colombelli, A.(2016). The Impact of Local Knowledge Bases on the Creation of Innovative Start-ups in Italy. Small Business Economics, 47(2), 383-396. https://doi.org/10.1007/s11187-016-9722-0
  13. Cooper, R. G.(1994). New Products: The Factors that Drive Success. International Marketing Review, 11(1), 60-76. https://doi.org/10.1108/02651339410057527
  14. Cruz-Ros, S., Guerrero-Sanchez, D., L., & Miquel-Romero, M. J.(2021). Absorptive Capacity and Its Impact on Innovation and Performance: Findings from SEM and fsQCA. Review of Managerial Science, 15(2), 235-249. https://doi.org/10.1007/s11846-018-0319-7
  15. Daniel, P. M., Jose, M. M., & Pedro, S. A.(2015). Online Social Networks as an Enabler of Innovation in Organizations. Management Decision, 53(9), 1906-1920. https://doi.org/10.1108/MD-06-2014-0406
  16. Day, G. S.(1994). The Capabilities of Market-driven Organizations. Journal of Marketing, 58(4), 37-52 https://doi.org/10.2307/1251915
  17. Dong, B., Xu, H., Luo, J., Nico, C. D., & Liu, W.(2020). Many Roads Lead to Rome: How Entrepreneurial Orientation and Trust Boost the Positive Network Range and Entrepreneurial Performance Relationship. Industrial Marketing Management, 88, 173-185. https://doi.org/10.1016/j.indmarman.2020.04.016
  18. Du, S., Yalcinkaya, G., & Bstieler, L.(2016). Sustainability, Social Media Driven Open Innovation, and New Product Development Performance. Journal of Product Innovation Management, 33, 55-71. https://doi.org/10.1111/jpim.12334
  19. Dubini, P., & Aldrich, H. E.(1991). Personal and Extended Networks are Central to the Entrepreneurial Process. Journal of Business Venturing, 6(5), 305-313. https://doi.org/10.1016/0883-9026(91)90021-5
  20. Engelen, A., Kube, H., Schmidt, S., & Flatten, T. C.(2014). Entrepreneurial Orientation in Turbulent Environments: The Moderating Role of Absorptive Capacity. Research Policy, 43(8), 1353-1369. https://doi.org/10.1016/j.respol.2014.03.002
  21. Esposito, V. V., Trinchera, L., & Amato, S.(2010). PLS path modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement. In Esposito, V. V., Chin, W. W., Henseler, J., & Wang, H.(Eds.), Handbook of partial least squares(PLS): Concepts, methods and applications. Berlin: Springer.
  22. Falk R. F., & Miller, N. B.(1992). A Primer for Soft Modeling. Akron, Ohio: The University of Akron Press.
  23. Fiss, P. C.(2007). A Set-theoretic Approach to Organizational Configurations. Academy of Management Review, 32(4), 1180-1198. https://doi.org/10.5465/AMR.2007.26586092
  24. Fiss, P. C.(2011). Building better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research. The Academy of Management Journal, 54(2), 393-420. https://doi.org/10.5465/AMJ.2011.60263120
  25. Fornell, C., & Larcker, D. F.(1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.2307/3151312
  26. Gardner, D. M., Johnson, F., Lee, M., & Wilkinson, I.(2000). A Contingency Approach to Marketing High Technology Products. European Journal of Marketing, 34(9/10), 1053-1077. https://doi.org/10.1108/03090560010342476
  27. Gerhardt, V., Santos, J., Rubin, E., Neuenfeldt, A., & Mairesse Siluk, J. C.(2021). Stakeholders' Perception to Characterize the Start-ups Success. Journal of Technology Management & Innovation, 16(1), 38-50. https://doi.org/10.4067/S0718-27242021000100038
  28. Gloor, P., Dorsaz, P., Fuehres, H., & Vogel, M.(2013). Choosing the Right Friends-predicting Success of Startup Entrepreneurs and Innovators through their Online Social Network Structure. International Journal of Organisational Design and Engineering, 3(1), 67-85. https://doi.org/10.1504/IJODE.2013.053668
  29. Greenley, G. E., & Foxall, G. R.(1988). External Moderation of Association among Stakeholder Orientation and Company Performance. International Journal of Research in Marketing, 15(1), 51-69. https://doi.org/10.1016/S0167-8116(97)00018-9
  30. Greve, A., & Salaff, J. W.(2003). Social Networks and Entrepreneurship. Entrepreneurship Theory and Practice, 28(1), 1-22. https://doi.org/10.1111/1540-8520.00029
  31. Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G.(2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool in Business Research. European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128
  32. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M.(2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Thousand Oaks: Sage.
  33. Hair, J. F., Ringle, C. M., & Sarstedt, M.(2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-151. https://doi.org/10.2753/MTP1069-6679190202
  34. Hallak, R., Assaker, G., O'Connor, P., & Lee, C.(2018). Firm Performance in the Upscale Restaurant Sector: The Effects of Resilience, Creative Self-efficacy, Innovation and Industry Experience. Journal of Retailing and Consumer Services, 40, 229-240. https://doi.org/10.1016/j.jretconser.2017.10.014
  35. Haltiwanger, J., Jarmin, R. S., & Miranda, J.(2013). Who Creates Jobs? Small versus Large versus Young. Review of Economics and Statistics, 95(2), 347-361. https://doi.org/10.1162/REST_a_00288
  36. Henseler, J.(2018). Partial Least Squares Path Modeling: Quo Vadis?. Quality & Quantity, 52(1), 1-8. https://doi.org/10.1007/s11135-018-0689-6
  37. Henseler, J., Ringle, C. M., & Sarstedt, M.(2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
  38. Henseler, J., Ringle, C. M., & Sinkovics, R. R.(2009). The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing, 20, 277-320. https://doi.org/10.1108/S1474-7979(2009)0000020014
  39. Hu, L., & Bentler, P. M.(1998). Fit Indices in Covariance Structure Modeling: Sensitivity to Underparameterized Model Misspecification. Psychological Methods, 3(4), 424-453 https://doi.org/10.1037/1082-989X.3.4.424
  40. Huang, H., Lai, M., & Lo, K.(2012). Do Founders' Own Resources Matter? The Influence of Business Networks on Start-up Innovation and Performance. Technovation, 32(5), 316-327. https://doi.org/10.1016/j.technovation.2011.12.004
  41. Huang, L., Krasikova, D. V., & Liu, D.(2016). I Can Do It, So Can You: The Role of Leader Creative Self-efficacy in Facilitating Follower Creativity. Organizational Behavior and Human Decision Processes, 132, 49-62. https://doi.org/10.1016/j.obhdp.2015.12.002
  42. Jeon, T. S.(2019). The Effects of Young entrepreneur's Emotional Intelligence on the Creativity, Entrepreneurial Efficacy, Possibility of Entrepreneurial Success. The e-Business Studies, 20(6), 19-33. https://doi.org/10.20462/tebs.2019.11.20.6.19
  43. Jiang, W., & Gu, Q.(2017). Leader Creativity Expectations Motivate Employee Creativity: A Moderated Mediation Examination. The International Journal of Human Resource Management, 28(5), 724-749. https://doi.org/10.1080/09585192.2015.1109535
  44. Kakati, M.(2003). Success Criteria in High-tech New Ventures. Technovation, 23(5), 447-457. https://doi.org/10.1016/S0166-4972(02)00014-7
  45. Keszey, T.(2018). Trust, Perception, and Managerial Use of Market Information. International Business Review, 27(6), 1161-1171. https://doi.org/10.1016/j.ibusrev.2018.04.007
  46. Konga, S., Chiu, M. M., & Lai, M.(2018). A Study of Primary School Students' Interest, Collaboration Attitude, and Programming Empowerment in Computational Thinking Education. Computers and Education, 127, 178-189. https://doi.org/10.1016/j.compedu.2018.08.026
  47. Korea Innovation Foundation(2021). Special Zone Statistical Data, Retrieved 2021.10.2 from https://www.innopolis.or.kr
  48. Laursen, K., & Salter, A.(2006). Open for Innovation: The Role of Openness in Explaining Innovation Performance among U.K. Manufacturing Firms. Strategic Management Journal, 27(2), 131-150. https://doi.org/10.1002/smj.507
  49. Lee, Y. S., Lee, J. R., Im, C. Y., Kim, S. W., Kim, Y. H., Jung, M. A., Kim, J. E., & Heo, J. S.(2019). Innovative Startup and Entrepreneurship Ecosystem Monitoring. Science and Technology Policy Institute, 1-377.
  50. Lim, J. S., Darley, W. K., & Marion, D.(2017). Market Orientation, Innovation Commercialization Capability and Firm Performance Relationships: The Moderating Role of Supply Chain Influence. Journal of Business & Industrial Marketing, 32(7), 913-924. https://doi.org/10.1108/JBIM-10-2016-0238
  51. Lin, J. H., Wang, M. Y. & Lo, H. C.(2013). The Complementary Assets and Appropriability Affect Patent Commercialization on the Moderate Effect of Marketing Sensing Capability: The Case of Bio-Patents in Taiwan. 2013 Proceedings of PICMET '13: Technology Management for Emerging Technologies. 871-879.
  52. Lin, J., & Si, S.(2010). Can Guanxi be a Problem? Contexts, Ties, and Some Unfavourable Consequences of Social Capital in China. Asia Pacific Journal of Management, 27(3), 561-581. https://doi.org/10.1007/s10490-010-9198-4
  53. Martins, E. C., & Terblanche, F.(2003). Building Organisational Culture that Stimulates Creativity and Innovation. European Journal of Innovation Management, 6, 64-74. https://doi.org/10.1108/14601060310456337
  54. Mathisen, G. E., & Bronnick, K. S.(2009). Creative Self-efficacy: An Intervention Study. International Journal of Educational Research, 48(1), 21-29. https://doi.org/10.1016/j.ijer.2009.02.009
  55. McDonald, R. P., & Ho, M. H. R.(2002). Principles and Practice in Reporting Structural Equation Analyses. Psychological Methods, 7(1), 64-82. https://doi.org/10.1037/1082-989X.7.1.64
  56. Minola, T., Hahn, D., & Cassia, L.(2021). The Relationship Between Origin and Performance of Innovative Start-Ups: The Role of Technological Knowledge at Founding. Small Business Economics, 56(2), 553-569. https://doi.org/10.1007/s11187-019-00189-y
  57. Mitchell, W., & Singh, K.(1996). Survival of Businesses Using Collaborative Relationships to Commercialize Complex Goods. Strategic Management Journal, 17(3), 169-195. https://doi.org/10.1002/(SICI)1097-0266(199603)17:3<169::AID-SMJ801>3.0.CO;2-#
  58. Nam, J. M.(2014). A Study on the Factors Affecting Success of Start-up in Korea. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 9(5), 13-20
  59. Nelson, J., Mahan, T., McComb, C., & Menold, J.(2020). The Prototyping Behaviors of Startups: Exploring the Relationship Between Prototyping Behaviors and Startup Strategies. Journal of Mechanical Design, 142(3).
  60. Oakey, R. P.(2003). Technical Entrepreneurship in High-technology Small Firms: Some Observations on the Implications for Management. Technovation, 23(8), 679-688. https://doi.org/10.1016/S0166-4972(03)00045-2
  61. Pappas, I. O., & Woodside, A. G.(2021). Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for Research Practice in Information Systems and Marketing. International Journal of Information Management, 58, 102310. https://doi.org/10.1016/j.ijinfomgt.2021.102310
  62. Parveen, F., Jaafar, N. I., & Ainin, S.(2016). Social Media's Impact on Organizational Performance and Entrepreneurial Orientation in Organizations. Management Decision, 54(9), 2208-2234. https://doi.org/10.1108/MD-08-2015-0336
  63. Patel, P. C., & Terjesen, S.(2011). Complementary Effects of Network Range and Tie Strength in Enhancing Transnational Venture Performance. Strategic Entrepreneurship Journal, 5(1), 58-80. https://doi.org/10.1002/sej.107
  64. Peter, W.(2004). Entrepreneurs' Networks and the Success of Start-ups. Entrepreneurship & Regional Development, 16(5), 391-412. https://doi.org/10.1080/0898562042000188423
  65. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P.(2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879
  66. Ragin, C. C.(2000). Fuzzy-set Social Science. Chicago: University of Chicago Press,
  67. Ragin, C. C.(2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. Chicago: University of Chicago Press
  68. Reagans, R. & McEvily, B.(2003). Network Structure and Knowledge Transfer: The Effects of Cohesion and Range. Administrative Science Quarterly, 48(2), 240-267. https://doi.org/10.2307/3556658
  69. Rihoux, B., & Ragin, C. C.(2008). Configurational Comparative Methods: Qualitative Comparative Analysis(QCA) and Related Techniques. Thousand Oaks CA: Sage Publications.
  70. Ringle, C. M., Wende, S., & Becker, J. M.(2015). SmartPLS 3, Boenningstedt: SmartPLS GmbH. Retrieved (2021.10.15.), from http://www.smartpls.com.
  71. Roberts, E.(1991). Entrepreneurs in High-Technology: Lessons from MIT and Beyond. New York: Oxford University Press
  72. Robin, S., & Schubert, T.(2013). Cooperation with Public Research Institutions and Success in Innovation: Evidence from France and Germany. Research policy, 42(1), 149-166. https://doi.org/10.1016/j.respol.2012.06.002
  73. Sarwat, N., & Abbas, M.(2021). Individual Knowledge Creation Ability: Dispositional Antecedents and Relationship to Innovative Performance. European Journal of Innovation Management, 24(5), 1763-1781. https://doi.org/10.1108/EJIM-05-2020-0198
  74. Shan, B., Pu, Y., Chen, B., & Lu, S.(2021). New Technologies' Commercialization: The Roles of the Leader's Emotion and Incubation Support. Frontiers in Psychology, 12, 710122. https://doi.org/10.3389/fpsyg.2021.710122
  75. Skarmeas, D., Lisboa, A., & Saridakis, C.(2016). Export Performance as a Function of Market Learning Capabilities and Intrapreneurship: SEM and FsQCA Findings. Journal of Business Research, 69(11), 5342-5347. https://doi.org/10.1016/j.jbusres.2016.04.135
  76. Slater, S. F., & Narver, J. C.(1995). Market Orientation and the Learning Organization. Journal of Marketing, 59(3), 63-74. https://doi.org/10.2307/1252120
  77. Tierney, P., & Farmer, S. M.(2002). Creative Self-efficacy: Its Potential Antecedents and Relationship to Creative Performance. Academy of Management Journal, 45(6), 1137-1148. https://doi.org/10.5465/3069429
  78. Van der Westhuizen, T., & Goyayi, M. J.(2019). The Influence of Technology on Entrepreneurial Self-efficacy Development for Online Business Start-up in Developing Nations. The International Journal of Entrepreneurship and Innovation, 21(3), 168-177. https://doi.org/10.1177/1465750319889224
  79. Wang, Y., Ellinger, A. D., & Wu, Y. J.(2013). Entrepreneurial Opportunity Recognition: An Empirical Study of R&D Personnel. Management Decision, 51(2), 248-266. https://doi.org/10.1108/00251741311301803
  80. Watson, J.(2007). Modeling the Relationship between Networking and Firm Performance. Journal of Business Venturing, 22(6), 852-874. https://doi.org/10.1016/j.jbusvent.2006.08.001
  81. Wong, K.(2010). Handling Small Survey Sample Size and Skewed Dataset with Partial Least Square Path Modelling. Vue: The Magazine of the Marketing Research and Intelligence Association, 20, 20-23.
  82. Woodside, A. G.(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. https://doi.org/10.1016/j.jbusres.2012.12.021
  83. Yang, J. S.(2021). What is the status of start-up companies in Daejeon based on statistics?. Daejeon Sejong Infographics, 49, 1-2.
  84. Zacca, R., & Alhoqail, S.(2021). Entrepreneurial and Market Orientation Interactive Effects on SME Performance within Transitional Economies. Journal of Research in Marketing and Entrepreneurship, 23(2), 268-281. https://doi.org/10.1108/JRME-08-2019-0067
  85. Zahra, S. A., & Nielsen, A. P.(2002). Sources of Capabilities, Integration and Technology Commercialization. Strategic Management Journal, 23(5), 377-398. https://doi.org/10.1002/smj.229