The Journal of Economics, Marketing and Management (융합경영연구)

International Convergence Management Association (국제융합경영학회)
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Effects of Smart Factory Quality Characteristics & Innovative Activities on Business Performance : Mediating Effect of Using Smart Factory

  • CHO, Ik-Jun (Graduate school of Knowledge-Based Technology & Energy, Korea Polytechnic Univ) ;
  • KIM, Jin-Kwon (Department of Distribution Management, Jangan University) ;
  • AHN, Tony-DongHui (Department of Business Management, Korea Polytechnic University) ;
  • YANG, Hoe-Chang (Dept, of Distribution Management, Jangan University)
  • Received : 2020.09.03
  • Accepted : 2020.09.23
  • Published : 2020.09.30
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Abstract

Purpose: The purpose of this study is to identify the strategic direction of organizations and their employees to efficiently utilize smart factories and enhance business performance among Korean manufacturing companies. Research design, data, and methodology: We derived a structured research model to check the mediated effect of utilization of smart factory between the characteristics of smart factory and the innovation activities. Results: Quality characteristics of smart factory and Innovation activities were all found to have a statistically significant effect on utilization of smart factory, utilization of smart factory was found to have a statistically significant effect on the business performance. And it has been shown that the utilization of smart factory is partially mediated relative to the quality characteristics of smart factory and business performance and relative to innovation activities and business performance. Conclusions: Smart factory builders can reflect the areas that affect utilization of the smart factory in their strategies by considering the quality characteristics of the smart factory and innovation Activities. Therefore, smart factory builders can identify the quality characteristics of smart factory and reflect them in the process and analyze active utilize measures through the innovative activities of the employees of the organization, thereby influencing business performance.

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References

  1. Baden-Fuller, C., & Haefliger, S.(2013). Business models and technological innovation. Long range planning, 46(6), 419-426. https://doi.org/10.1016/j.lrp.2013.08.023
  2. Balasingham, K. (2016). Industry 4.0: Securing the Future for German Manufacturing Companies, Master's Thesis, University of Twente.
  3. Butner, K.(2010).The smarter supply chain of the future, Strategy & Leadership, 38(1), 22-31. https://doi.org/10.1108/10878571011009859
  4. Byun, D. H. (2016). Trend of Smart Factory and Model Factory Cases. The e-Business Studies. 17(4), 211-228. https://doi.org/10.20462/TeBS.2016.08.17.4.211
  5. Christensen, C. M., Raynor, M. E., & McDonald, R. (2015) What is disruptive innovation," Harvard Business Review, 93, 44-53.
  6. Damanpour, F. (1991). Organizational Innovation: A Meta-Analysis of effects of determinants and moderators. Academy of Management Journal, 34(3), 555-590. https://doi.org/10.2307/256406
  7. Davis, J., Edgar, T., Dimitratos, Y., Gipson, J., Grossmann, I., Hewitt, P. , & Strupp, B.(2009). Smart Process Manufacturing: An Operations and Technology Roadmap. Smart Process Manufacturing Engineering Virtual Organization Steering Committee, Los Angeles, CA, Tech. Rep..
  8. DeLone, W.H., & McLean E.R. (1992) Information System Success: The Quest for the Dependent Variables, Information System Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
  9. DeLone, W.H., & McLean E.R. (2003). The DeLone & McLean Model of Information Systems Success: A 10-year Update, Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
  10. Dess, G. G., & Picken, J.C. (2000). Changing roles: Leadership in the 21st century. Organizational Dynamics, 28, 18-34. https://doi.org/10.1016/S0090-2616(00)88447-8
  11. Draft, R. L. (1978) A Dual-core Model of Organizational Innovation. Academy of management Journal, 21(2), 392-409.
  12. Hopkins, M. S., LaValle, S., Lesser, E., Shockley, R., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value, MIT Sloan Management Review, 52(2). 21-32.
  13. Jin, S. O.,& Seo, Y. W.(2019). A Study on the Establishment of Smart Factory through the Environmental Factors and Absorption Capacity of Small and Medium Businesses. Journal of Convergence for Information Technology, 9(7), 67-77. https://doi.org/10.22156/CS4SMB.2019.9.7.067
  14. Jo, Y. J. (2017). Domestic smart factory promotion strategy in the 4th industrial revolution era. Communications of the Korean Institute of Information Scientists and Engineers, 35(6),40-48.
  15. Kannengiesser, U., & Muller, H. (2013). Towards agent-based smart factories: A sub ject-oriented modeling approach. In Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on 3, 83-86.
  16. Kaplan, R. S. & Norton, D. O(1992). The Balanced Scorecard: Measures That Drive Performance, Harvard Business Review, 70(1), 71-79.
  17. Kim, J. D., Chi, S. Y & 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 Telecommunications Research Institute. The Journal of Information Technology and Architecture, 15(3),307-327. https://doi.org/10.22865/JITA.2018.15.3.307
  18. Kim, J. D., Song, Y. W & Cho, W. S. (2016). The Usage Needs and Adoption Intention of Manufacturing Big Data Technology in Small and Medium-sized Manufacturing Companies. Korean Corporation Management Review. 23(5). 47-68. https://doi.org/10.21052/kcmr.2016.23.5.03
  19. Kim, J. K., & Ahn, D. H(2017). Effects of the fitness among Entrepreneurship, Dynamic capabilities and Innovation activities on Business performance. Journal of Digital Convergence. 15(1). 163-170. https://doi.org/10.14400/JDC.2017.15.1.163
  20. Knight, K, E. (1967). A Descriptive model of the intra-firm innovation process. The Journal of Business. 40(4), 478-496. https://doi.org/10.1086/295013
  21. Kwak, Y. W., Kwon, H. D., Suh, C. J & Kim, H. Y. (2011). A Study on the Influences of Creativity on the Quality Management Activities-Focused on Award and Certification Recipients in Quality Management. Journal of Korea Service Management Society, 12(2), 261-292. https://doi.org/10.15706/jksms.2011.12.2.012
  22. Kwon, J. H & Lee, S. B.(2016). A Case Study of German Small and Medium Enterprises' Introduction of 'Industry 4.0' and It's Implication to Korea. Koreanische Zeitschrift fuer Wirtschaftswissenschaften. 34(3). 37-55. https://doi.org/10.18237/KDGW.2016.34.3.037
  23. Lasi, H., Fettke, P., Feld, T., & Hoffmann, M. (2015). Industry 4.0. Business and Info rmation Systems Engineering, 4,239-142.
  24. Mario H., Tobias P.,& Boris O.(2016).Design Principles for Industrie 4.0 Scenarios, 2016 49th Hawaii International Conference on System Sciences(HICSS).
  25. Nieves, J., & Haller, S.(2014). Building dynamic capabilities through knowledge resources. Tourism Management, 40, 224-232. https://doi.org/10.1016/j.tourman.2013.06.010
  26. Lee, C., Lee, K., & Pennings, J. (2001). Internal capabilities, external networks, and performance: a study on technology-based ventures. Strategic Management Journal, 22(6/7), 615-640. https://doi.org/10.1002/smj.181
  27. Lim, J. W., Jo, D. H., Lee, S. Y., Park, H. J., & Park, J. W. (2017). A Case Study for the Smart Factory Application in the Manufacturing Industry. Korea Journal of Business Administration, 30(9), 1609-1630.
  28. Oh, J. H., Seo, J. H., & 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.
  29. Oh, W. G.,& Kim, I. J.(2018).The Effects of the 4th Industrial Revolution on the Capability of Smart Manufacturing. Society for e-Business Studies, 15(1), 111-118.
  30. Park, H, G., & Park, J. W.(2015). Development Plan and Comparison of Construction Quality Management Systems in Preparation for the Economic Integration in Northeast Asia(FTA). The Korea Contents Society. 15(10). 468-480. https://doi.org/10.5392/JKCA.2015.15.10.468
  31. Park, J. J., Kim, T. S.,& Song, Y. R.(2016). A Study on the Influence of Technology Innovation Ability of SMEs on Business Performance. Korean Computers and Accounting Review. 14(2). 93-115.
  32. Park, S. B.(2016).Development of innovative strategies for the Korean manufacturing industry by use of the connected smart factory (CSF), Procedia Computer Science, 91(1). 744-750. https://doi.org/10.1016/j.procs.2016.07.067
  33. Pitt, L. F., Watson, R. T. & Kavan, C. B.(1995).Service Quality: A Measure of Information Systems Effectiveness. MIS Quarterly, 19(2), 173-187. https://doi.org/10.2307/249687
  34. Prinz, C., Morlock, F., Freith, S., Kreggenfeld, N. , Kreimeier, D. , and Kuhlenkotter, B. (2016). Learning Factory modules for smart factories in Industrie 4.0, Procedia CIRP, 54(1),113-118. https://doi.org/10.1016/j.procir.2016.05.105
  35. Rosenbusch, N., Brinckmann, J., & Bausch, A. (2011). Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs. Journal of business Venturing, 26(4), 441-457. https://doi.org/10.1016/j.jbusvent.2009.12.002
  36. Schumpeter, J. A. (1939).Business cycles. a Theoretical, historical and statistical analysis of the capitalist process(2 Vols). London: McGraw-Hill Book Co.
  37. Seo, C. D., Jung, S. J., & Kim, S. C. (2018). Establishing a smart factory to improve corporate productivity. The Journal of The Korean Institute of Communication Sciences,35(6), 43-49.
  38. Shin, J. C., Lim, O. K., Park, Y. H.,& Song, S. H. (2020). A Study on Determining Priorities of Basic Factors for Implementing Smart Supply Chain. Journal of the Korean Society of Supply Chain Management,17(1), 1-12. https://doi.org/10.25052/KSCM.2017.05.17.1.1
  39. Song, S. Y.(2012). Study on the Site Attraction Factors for Online Shopping Mall Business. Journal of the Korean Entrepreneurship Socieity. 7(4), 105-124. https://doi.org/10.24878/TKES.2012.7.4.105
  40. Szejka, A. L. & Junior, O. C. (2017). The application of reference ontologies for semantic interoperability in an integrated product development process in smart factories, Procedia Manufacturing, 11(1). 1375-1384. https://doi.org/10.1016/j.promfg.2017.07.267
  41. Waibel, M. W., Steenkamp, L. P., Moloko, N.,& Oosthuizen, G. A. (2017).Investigating the effects of Smart Production Systems on sustainability elements, Procedia Manufacturing, 8(1). 731-737. https://doi.org/10.1016/j.promfg.2017.02.094
  42. Wang, J., Ma, Y.,Zhang, L.,Gao, R. X.,Wu,D. (2018).Deep learning for smart manufacturing: Methods and applications, Journal of Manufacturing Systems, 48, 144-156. https://doi.org/10.1016/j.jmsy.2018.01.003
  43. Wang, S., Wan, J.. Li, D., & Zhang, C. (2016). Implementing Smart Factory of Industrie 4.0: An Outlook, International Journal of Distributed Sensor Networks, 4(1), 1-10. https://doi.org/10.1080/15501320701810297
  44. Wu, L., Yue, X., Jin, A., & Yen, D. C. (2016), Smart supply chain management: a review and implications for future research, The International Journal of Logistics Management, 27(2). 395-417. https://doi.org/10.1108/IJLM-02-2014-0035
  45. Yam, M. S.(2016). The Convergence between Manufacturing and ICT: The Exploring Strategies for Manufacturing version 3.0 in Korea. Journal of Digital Convergence. 14(3),219-226. https://doi.org/10.14400/JDC.2016.14.3.219
  46. Yang, D. W., & Song, J, S. (2007). A study on the empirical analysis of the relationship between management innovation activities and management innovation performance-focusing on management innovation SMEs. Korea Technology Innovation Society. 2007(11). 65-83.