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A Study on the Technological Innovation and Introduction of SCM System of SMEs' Industry Using the Innovation Resistance Model

혁신저항모델을 활용한 중소기업 기술혁신에 따른 SCM시스템 도입 영향 연구

  • Oh, Yongmin (Department of Business Administration, Hanyang University) ;
  • Boo, Jeman (Department of Business Administration, Hanyang University)
  • 오용민 (한양대학교 대학원 경영학과) ;
  • 부제만 (한양대학교 대학원 경영학과)
  • Received : 2021.08.09
  • Accepted : 2021.09.08
  • Published : 2021.09.30

Abstract

As the advent of the Fourth Industrial Revolution and Information Age, companies are in the state of infinite competition due to the rapidly changing technological environment and fierce competition. In this situation companies are making efforts to gain the competitive advantage by introducing information systems. Supply Chain Management (SCM) is considered a method to gain a competitive edge in rapid change. In fact, companies that already have introduced the SCM system are achieving company renovation with positive effects such as increase of sales stock reduction on-time delivery cost reduction and improved efficiency. This study was started to investigate the resistance that occurs in introducing the SCM system for small and medium-sized manufacturing industries that have not yet introduced the SCM system despite the importance of the SCM system, and to check the effect on the intention of the introduction. As the result of this study, the first is that the company has the higher technological innovation, the more positive the effect on Relative advantage Compatibility Perceived risk, Complexity. Second, The compatibility of the SCM system was rejected in innovation resistance, but it is adopted with the highest impact in the introduction intention. In addition, the mediating effect of innovation resistance was also rejected, confirming that if the SCM system is compatible for the company, it doesn't affect the resistance and is the biggest factor to consider in the introduction of the SCM system. Third, the perceived risk of the SCM system doesn't directly affect the intention to introduce, but has an indirect effect when mediation innovation resistance.

Keywords

References

  1. Ahn, S.K., Kim, K.S., and Lee, K.H., The Impact of Technological Regulation on the Technological Innovation and Performance of Small and Medium Enterprises (SMEs): Evidence from a Survey Data of Korean SMEs, Journal of Regulation Studies, 2018, Vol. 7, No. 1, pp. 63-91.
  2. Anderson, E. and Weitz, B., Determinants of continuity in conventional industrial channel dyads, Marketing Science, 1989, Vol. 8, No. 4, pp. 310-323. https://doi.org/10.1287/mksc.8.4.310
  3. Arntzen, B.C., Brown, G.G., Harrison, T.P., and Trafton, L.L., Global supply chain management at Digital Equipment Corporation, Interfaces, 1995, Vol. 25, No. 1, pp. 69-93. https://doi.org/10.1287/inte.25.1.69
  4. Bae, B.R. and Kim, N.G., The Influences of Service Providers Emotional Labor on Burnout and Customer Orientation: Moderating Effects of Emotional Intelligence, Korean Industrial Economic Association, 2012, Vol. 25, No. 1, pp. 497-521.
  5. Bettman, J.R., Perceived risk and its components: A model and empirical test, Journal of Marketing Research, 1973, Vol. 10, No. 2, pp. 184-190. https://doi.org/10.2307/3149824
  6. Bolen, M.C., Exploring the determinants of users' continuance intention in smartwatches, Technology in Society, 2020, Vol. 60, pp. 1-12 https://doi.org/10.1016/j.techsoc.2019.101209
  7. Bowersox, D.J., Closs, D.J., and Stank, T.P., Ten mega-trends that will revolutionize supply chain logistics, Journal of Business Logistics, 2000, Vol. 21, No. 2, p. 1.
  8. Cash, J.I. and Konsynski, B.R., IS redraws competitive boundaries, Harvard Business Review, 1985, Vol. 63 No. 2, pp. 134-142.
  9. Chandler, G.N. and Hanks, S.H., Founder competence, the environment and venture performance, Entrepreneurship theory and Practice, 1994, Vol. 18, NO. 3, pp. 77-89. https://doi.org/10.1177/104225879401800306
  10. Chang, C.H., Lai, Y.H., Wang, H.Z., Su, M.Y., Chang, C.W., and Peng, C.F., Antibiotic treatment of orbital cellulitis: an analysis of pathogenic bacteria and bacterial susceptibility, Journal of ocular pharmacology and therapeutics, 2000, Vol. 16 No. 1, pp. 75-79.
  11. Damanpour, F. and Evan, W.M., Organizational innovation and performance: the problem of "organizational lag", Administrative Science Quarterly, 1984, Vol. 29, No. 3, pp. 392-409. https://doi.org/10.2307/2393031
  12. Ettlie, J.E., R&D and global manufacturing performance, Management Science, 1998, Vol. 44, No. 1, pp. 1-11. https://doi.org/10.1287/mnsc.44.1.1
  13. Fischhoff, B., Slovic, P., Lichtenstein, S., Read, S., and Combs, B., How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits, Policy Sciences, 1978, Vol. 9, No. 2, pp. 127-152. https://doi.org/10.1007/BF00143739
  14. Iacovou, C.L., Benbasat, I., and Dexter, A.S., Electronic data interchange and small organizations: Adoption and impact of technology, MIS Quarterly, 1995, pp. 465-485.
  15. Kim, S.W., The Role of Supply Chain Integration for Firm Performance Improvement, Korean Management Review, 2004, Vol. 22, No. 2, pp. 631-65.
  16. Lee, Y.H., Cho, M.G., and Woo, J.J., Recent research trends and development directions of SCM, Korean Information Processing Society, 2002, Vol. 9, No. 6, pp. 5-15.
  17. Lee, Y.H., Hsieh, Y.C., and Hsu, C.N., Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems, Journal of Educational Technology & Society, 2011, Vol. 14, No. 4, pp. 124-137.
  18. Mentzer, J.T., DeWitt, W., Keebler, J.S., Min, S., Nix, N.W., Smith, C.D., and Zacharia, Z.G., Defining supply chain management, Journal of Business Logistics, 2001, Vol. 22, No. 2, pp. 1-25. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
  19. OECD, The Measurement of Scientific and Technological Activities: Proposed Guidelines for Collecting and Interpreting Innovation Data, Oslo Manual, Final draft of the third edition, 2005.
  20. Park, C.K., Park, S.M., and Kim, C.B., The Effect of Risk Response in the Supply Chain on Supply Chain Integration, Risk Management Maturity, and Corporate Management Performance, Korean Association Of Business Education, 2021, Vol. 36, No. 2, pp. 121-150. https://doi.org/10.23839/kabe.2021.36.2.121
  21. Porter, M.E. and Millar, V.E., How information gives you competitive advantage, Harvard Business Reiew, 1985, Vol. 63, No. 4, pp. 149-160.
  22. Porter, M.E., Towards a dynamic theory of strategy, Strategic Management Journal, 1991, Vol. 12, No. S2, pp. 95-117. https://doi.org/10.1002/smj.4250121008
  23. Ram, S. and Sheth, J.N., Consumer resistance to innovations: the marketing problem and its solutions, Journal of Consumer Marketing, 1989, Vol. 6, No. 2, pp. 5-14. https://doi.org/10.1108/EUM0000000002542
  24. Ram, S., A Model of Innovation Resistance, Advances in Consumer Research, 1987, Vol. 14, pp. 208-212.
  25. Ram, S., Successful Innovation Using Strategies to Reduce Resistance: An Empirical Test, Journal of Product Innovation Management, 1989, Vol. 6, No. 1, pp. 20-34. https://doi.org/10.1111/1540-5885.610020
  26. Rogers, E.M., Diffusion of Innovations(Fifth Edition), The Free Press, New York, 2003.
  27. Sheth, J.N., An integrative theory of patronage preference and behavior. College of Commerce and Business Administration, Bureau of Economic and Business Research, University of Illinois, Urbana-Champaign, 1981, pp. 9-28.
  28. Slovic, P., Finucane, M.L., Peters, E., and MacGregor, D.G., Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality, Risk Analysis: An International Journal, 2004, Vol. 24, No. 2, pp. 311-322. https://doi.org/10.1111/j.0272-4332.2004.00433.x
  29. Solow, R., A Contribution to the Theory of Economic Growth, Quarterly Journal of Economics, 1956, Vol. 70, No. 1, pp. 65-94. https://doi.org/10.2307/1884513
  30. Song, C.W., Lee, J.W., and Oh, W.G., The Effect of Government R&D Investment on Total Factor Productivity: Targeting the Private Sector Support Project, Productivity Review (formerly Productivity Research), 2011, Vol. 25, No. 2, pp. 237-257. https://doi.org/10.15843/kpapr.25.2.201106.237
  31. Yam, R.C., Guan, J.C., Pun, K.F., and Tang, E.P., An audit of technological innovation capabilities in Chinese firms: some empirical findings in Beijing, China, Research Policy, 2004, Vol. 33, No. 8, pp. 1123-1140. https://doi.org/10.1016/j.respol.2004.05.004
  32. Yu, J.P., Structural equation model concept and understanding, Seoul, Hannarae publishing company, 2012.