DOI QR코드

DOI QR Code

A Study on the Factors Influencing on the Intention to Continuously Use a Smart Factory

스마트 팩토리 지속사용의도에 영향을 미치는 요인에 관한 연구

  • Received : 2020.01.06
  • Accepted : 2020.02.24
  • Published : 2020.04.30

Abstract

While Korea became one of manufacturing powers in the world through a fast-follower strategy as well as implementing the approach of advancing manufacturing business focused on quantitative input, The advent of the fourth industrial revolution and demand becoming more complicated than ever both require a system that quickly detects the change of markets in advance and reflects it in the manufacturing strategy. Accordingly, the introduction of a smart factory is not optional but mandatory in order to strengthen the competitiveness of manufacturing business using ICT. This paper aims to investigate key factors having influence on the intention to continuously use a smart factory, the innovative IT device, on the basis of the technology acceptance model. This paper analyzed the influence of the leadership of CEO, organizational learning and perceived switching costs on the intention to continuously use a smart factory by the parameters of perceived ease of use and usefulness, the major belief valuables of the IT acceptance model.

우리나라는 최근까지 양적투입 위주의 제조업 성장 방식을 취해왔을 뿐만 아니라 Fast-follower 전략으로 제조 강국 반열에 올라섰지만 선진국의 제조업 부흥 정책과 신흥국의 산업구조 고도화로 인해 한계에 직면하게 되었다. 최근 4차산업혁명의 도래와 수요의 복잡화로 인해 시장의 변화를 사전에 빠르게 감지해 생산전략에 반영하는 체제가 요구됨에 따라 ICT를 활용하여 제조업의 경쟁력 강화를 위해 스마트 팩토리를 도입은 선택이 아닌 필수가 되어가고 있다. 본 연구는 정보기술혁신 제품인 스마트 팩토리의 지속사용의도에 영향을 미치는 주요 요인들이 무엇인지를 기술수용모형을 토대로 살펴보고자 한다. 이를 위해 본 연구는 스마트 팩토리를 운영 중인 기업들을 대상으로 온라인과 오프라인으로 설문조사를 실시하였으며 122부의 표본으로 분석하였다. 구체적으로 CEO의 리더십, 조직학습, 지각된 전환비용이 기술수용모형의 주요 신념변수인 지각된 사용 용이성과 지각된 유용성을 매개하여 지속사용의도에 미치는 영향을 살펴보았다.

Keywords

References

  1. Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model, MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
  2. Burnham, T. A., Frels, J. K., and Mahajan, V. (2003). Consumer Switching Costs: A Typology, Antecedents, and Consequences, Journal of the Academy of Marketing Science, 31(2), 109-126. https://doi.org/10.1177/0092070302250897
  3. Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., and Yin, B. (2017). Smart Factory of Industry 4.0: Key Technologies, Application, Case, and Challenges, IEEE Access, 6, 6505-6519. https://doi.org/10.1109/access.2017.2783682
  4. Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling, Modern Methods for Business Research, Marcoulides, G.A.(ed.), 295-336.
  5. Choi, Y. H., and Choi, S. H. (2017). A Study on the Factors Influencing the Competitiveness of Small and Medium Companies Applied with Smart Factory Systems, Information Systems Review, 19(2), 95-113 https://doi.org/10.14329/isr.2017.19.2.095
  6. Cohen, J. O. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.), Hillsdale, New Jersey, Lawrence Erlbaum Associates.
  7. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  8. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  9. Dick, A. S. and Basu, K. (1994). Customer Loyalty: Toward an Integrated Conceptual Framework, Journal of the Academy of Marketing Science, 22(2), 99-113. https://doi.org/10.1177/0092070394222001
  10. Fornell, C., and 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/10.1177/002224378101800104
  11. Gefen, D., Straub, D. W,. and Boudreau, M. C. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice, Communications of the Association for Information Systems, 4(7), 2-76.
  12. Gefen, D., Elena K., and Detmar, W. S. (2003). Inexperience and Experience with Online Stores: The Importance of TAM and Trust, IEEE Transactions on Engineering Management, 50(3), 307-321. https://doi.org/10.1109/TEM.2003.817277
  13. Gremler, D. D. (1995). The Effect of Satisfaction, Switching Costs, and Interpersonal Bonds on Service Loyalty, Unpublished Dissertation, Arizona State University.
  14. Guiltinan, J. P. (1989). A Classification of Switching Costs with Implications for Relationship Marketing, In Childers, T. L., Bagozzi, R. P. et al. (Eds), AMA Winter Educators Conference: Marketing Theory and Practice, Chicago, IL. USA.
  15. Hahm, H. J. (2017). A Study of Smart Factory Policy For ICT-Based, The e-Business Studies, 18(6), 363-380. https://doi.org/10.20462/tebs.2017.12.18.6.363
  16. Hsu, C., and Lu, H. (2004). Why do People Play on-line Games? An Extended TAM with Social Influences and Flow Experience, Information & Management, 41(7), 853-868. https://doi.org/10.1016/j.im.2003.08.014
  17. Jones, M. A., Mothersbaugh, D. L., and Beatty, S. E. (2002). Why Customers Stay: Measuring the Underlying Dimensions of Services Switching Costs and Managing Their Differential Strategic Outcomes, Journal of Business Research, 55, 441-450. https://doi.org/10.1016/S0148-2963(00)00168-5
  18. Kim J. D., Chi, S. Y., and Yoo, K. H. (2018). A Study on Factors Affecting External Manufacturing Big Data Technology Transfer Performance in Small-and Medium-sized Manufacturing Firms: The Technology Transfer Cases of Electronics and Tele-Communications Research Institute, Journal of Information Technology and Architecture, 15(3), 307-327. https://doi.org/10.22865/JITA.2018.15.3.307
  19. Kim, H. G. (2019). An Empirical Study on Continuous use Intention and Switching Intention of the Smart Factory, Journal of the Korea Industrial Information Systems Research, 24(2), 65-80. https://doi.org/10.9723/JKSIIS.2019.24.2.065
  20. Kim, J. S., and Song, T. M. (2014). A Study on Initial Characterization of Big Data Technology Acceptance-Moderating Role of Technology User & Technology Utilizer, Journal of the Korea Contents Association, 14(9), 538-555. https://doi.org/10.5392/JKCA.2014.14.09.538
  21. Kim, K. W. (2016). A Study on the Factors Influencing the Internet of Things (IoT) Technology Acceptance of SMEs: Applying Unified Theory of Acceptance and Use of Technology (UTAUT), Ph. D. Dissertation, Hansei University, Korea.
  22. Kim, S. Y., and Song, M. K. (2014). Application of MI-NPS Digital Factory Methodology for Production Ability Improvement and Optimal Layout Design: Applied Case to Vehicle Shaft Manufacturing Line, Productivity Review, 28(1), 47-73. https://doi.org/10.15843/kpapr.28.1.201403.47
  23. Lee, S. R., and Jung, Y. O. (2008). A Study on Continued use of Online Shopping Site using a Weighted Expectation-Confirmation Model, Korea Management Science Review, 25(3), 135-156.
  24. Lee, Y. R. (2019). Impact of Smart Factory Readiness on Technology Acceptance and Corporate Competitiveness of SMEs: A Multi-Group Analysis of Entrepreneurial Orientation, Journal of International Trade & Commerce, 15(4), 465-481.
  25. Morgan, G., and Ramirez, R. (1983). Action Learning: A Holographic Metaphor for Guiding Change, Human Relations, 37(1), 1-28. https://doi.org/10.1177/001872678403700101
  26. Noh, K. S., and Park, S. H. (2014). An Exploratory Study on Application Plan of Big Data to Manufacturing Esecution System, Journal of Digital Convergence, 12(1), 305-311. https://doi.org/10.14400/JDPM.2014.12.1.305
  27. Oh, J. H., Seo, J. H., and Kim, J. D. (2019). The Effect of Both Employees' Attitude toward Technology Acceptance and Ease of Technology use on Smart Factory Technology Introduction Level and Manufacturing Performance, Journal of Information Technology Applications & Management, 26(2), 13-26.
  28. Park, C. and You, J. H. (2011). A Study on Acceptance Factors of High-tech Product of Chinese consumer-Focused on Smart Phone, Asia-Pacific Journal of Business and Venturing, 6(1), 83-107.
  29. Park, J. S., and Kang, K. S. (2017). Strategies of Smart Factory Building and Application of Small & Medium-Sized Manufacturing Enterprises, Journal of the Korea Safety Management & Science, 19(1), 227-236. https://doi.org/10.12812/ksms.2017.19.1.227
  30. Park, M. Y. (2009). The Successful Implementation Factors of the ERP System: The Cases of Small and Medium Businesses, M.S. Thesis, Inha University, Korea.
  31. Rai, A., Lang, S. S., and Welker, R. B. (2002). Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis, Information Systems Research, 13(1), 50-69. https://doi.org/10.1287/isre.13.1.50.96
  32. Roh, T. H. (2016). A Case Study: ICT and the Region-based Sharing Economy of a Start-up Social Enterprise, Information Systems Review, 18(1), 157-175. https://doi.org/10.14329/isr.2016.18.1.157
  33. Schumpeter, J. A. (1934). The Theory of Economic Development; An Inquiry into Profits, Capital, Credit, Interest and the Business Cycle, Harvard University Press, Cambridge, MA.
  34. Shapiro, C., and Varian, H. R. (1999). Information Rules, Harvard Business School Press, Boston, MA.
  35. Sultan, F., and Chan, L. (2000). The Adoption of New Technology: The Case of Object-oriented Computing in Software Companies, IEEE Transactions on Engineering Management, 47(1), 106-125. https://doi.org/10.1109/17.820730
  36. Tenenhaus, M., Vinzi, V. E., Chatelin, Y., and Lauro, C. (2005). PLS Path Modeling, Computational Statistics and Data Analysis, 48(1), 159-205. https://doi.org/10.1016/j.csda.2004.03.005
  37. Thong, J., Yap, C., and Raman, K. (1996). Top Management Support, External Expertise and Information Systems Implementation in Small Business, Information Systems Research, 7(2), 248-267. https://doi.org/10.1287/isre.7.2.248
  38. Venkatesh, V. (2000). Determinants of Perceives Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model, Information Systems Research, 11(4), 342-365. https://doi.org/10.1287/isre.11.4.342.11872
  39. Woo, S. H., and Kwon, S. D. (2019). A Study on Personalized Product Demand Manufactured by Smart Factory, Management & Information Systems Review, 38(1), 23-41. https://doi.org/10.29214/DAMIS.2019.38.1.002
  40. Yang, H. L., Chang, T. W., and Choi, Y. R. (2018). Exploring the Research Trend of Smart Factory with Topic Modeling, Sustainability, 2779, 1-15.
  41. You, J. H., and Park, C. (2012). Factors Influencing Adoption and Post-Adoption Behaviors of Hight-Tech Product: Focused on Smart Phone, Korean Management Review, 41(3), 423-456.
  42. Youn, S., Yang, M. G., and Hong, P. (2012). Integrative Leadership for Effective Supply Chain Implementation: An Empirical Study of Korean Firms, International Journal of Production Economics, 139, 237-246. https://doi.org/10.1016/j.ijpe.2012.04.013
  43. Zuehlke, D. (2010). Smart-Factory-Towards a Factory-of-things, Annual Reviews in Control, 34(1), 129-138. https://doi.org/10.1016/j.arcontrol.2010.02.008