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중소기업의 환경요인과 흡수역량을 통한 Smart Factory 구축 연구

A Study on the Establishment of Smart Factory through the Environmental Factors and Absorption Capacity of Small and Medium Businesses

  • 진성옥 (대전대학교 융합컨설팅학과) ;
  • 서영욱 (대전대학교 융합컨설팅학과)
  • 투고 : 2019.06.25
  • 심사 : 2019.07.20
  • 발행 : 2019.07.29

초록

많은 중소기업이 Smart Factory를 구축할 때 기업 내 외부의 환경변화나 구성원들의 역량 등 기업이 처해있는 상황에 대한 충분한 고려 없이 구축하고 있다. 그래서 구축 후 활용도와 효과도 낮다. 본 연구는 '중소기업의 환경요인과 흡수역량을 통한 Smart Factory 구축'을 실증연구를 통하여 검증해 보는 것이다. 설문은 Smart Factory를 구축한 중소기업에서 관련 업무를 하는 인원에게 받았다. 연구결과는, 첫째, 기업 내 외부의 환경요인은 기업 내부의 흡수역량에 긍정적인 영향을 미쳤다. 둘째, 기업 내부의 흡수역량은 Smart Factory 구축에 긍정적인 영향을 미쳤다. 위의 입증을 통해서 중소기업에서 Smart Factory를 구축할 때 기업의 내 외부 환경요인과 흡수역량을 바탕으로 Smart Factory 핵심영역을 구축하면 효과적이라는 것이 입증되었다. 향후는 Smart Factory 구축성과의 연구를 하고자 한다.

Many small and medium-sized enterprises are deploying Smart Factory without due consideration of the circumstances in which the entity is in or outside of the entity, such as environmental changes and the capabilities of its members. Therefore, utilization and effectiveness are also low after deployment. This study verifies 'the establishment of a Smart Factory through the environmental factors and absorption capabilities of small businesses' through empirical research. The survey was received by people working for small and medium-sized companies that have established Smart Factory. The results of the study showed that first, environmental factors within and outside the company had a positive effect on the absorption capacity within the company. Second, the absorption capacity within a company has had a positive effect on the deployment of a Smart Factory. Based on the above proof, it has been proved to be effective if the core areas of the Smart Factory are built on the basis of the company's internal and external environmental factors and absorption capabilities when constructing Smart Factory in small businesses. In the future, we will study the achievements of smart factory construction.

키워드

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Fig. 1. Research model

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Fig. 2. Verification of the research model

Table 1. Operational Definition of Variables

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Table 2. Factor Analysis and Reliability Analysis

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Table 3. Discriminant Validity analysis

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Table 4. Hypothesis Verification Results

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참고문헌

  1. C. H. Choe. (2018). The Impact of MES (Manufacturing Execution System) deploymenton Management Performance in Small Manufacturing Company. Doctoral dissertation. Kangwon National University, Chuncheon.
  2. S. P. Tobbins. (1990). Organization Theory : Structure Designs and Applications. Prentice-Hall International. 67.
  3. K. H. Lee. (2014). A Study of the Relationship Organization Characteristics and Effectiveness in the Central Administrative Agencies of Korea, An administrative essay, 52(1), 1-34.
  4. Gokan Maya & Bojan Stahlb. (2017). The significance of organizational change management for sustainable competitiveness in manufacturing: exploring the firm archetypes.. International Journal of Production Research, 55(15), 450-4465. DOI : 10.1080/00207543.2016.1261197
  5. S. A. Zahra & G. George. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of management review, 27(2), 185-203. https://doi.org/10.5465/amr.2002.6587995
  6. Korea Chamber of Commerce and Industry. (2014). A Study on the Industry Reference Model for the Spread of Smart Factories. Seoul.
  7. J. W. Lim et al. (2017). A Case Study for the Smart Factory Application in the Manufacturing Industry. Korean Journal of Business Administration, 3(9), 1609-1630. DOI : 10.18032/kaaba.2017.30.9.1609
  8. J. Patalas-Maliszewska & M. Skrzeszewska. (2018). An Evaluation of the effectiveness of applying the MES in a Maintenance Department -A Case Study. Foundations of Managemen, 10(1), 257-270. DOI : 10.2478/fman-2018-0020
  9. C. M. Crawford. (1991). New Product Management. 3rd ed., Homewod, III., Rechard D. Irwin, pp.541.
  10. A. Malhotra, S. Gosain & O. E. Sawy. (2005). Absorptive capacity configuration in supply chains: Gearing for partner-enabled market knowledge creation. MIS Quarterly, 29(1), 145-187. DOI : 10.2307/25148671
  11. C. H. Jung. (2008). Factors Influencing the Implementation Performance of ERP Systems -BSC Perspective-. Doctoral dissertation. Chungnam National University, Daejeon.
  12. J. B. Yoon, Y. S. Kim & T. K. Kwon. (1999). ERP, New Paradigm for Management Innovation. Seoul : Daecheong Media.
  13. H. S. Lee. (2017). A study on the effects of absorptive capacity on core competencies and business performance of enterprises: Direct and indirect effect verification. Doctoral dissertation. Sungkyunkwan University, Seoul.
  14. D. J. Teece. (2007), Explicating dynamic capabilities: The nature and micro foundations of (sustainable) enterprise performance, Strategic Management Journal, 28(13), 1319-1350. DOI : 10.1002/smj.640
  15. N. Tzokas, Y. A. Kim, H. Akbar & H. Al-Dajani. (2015). Absorptive capacity and performance: The role of customer relationship and technological capabilities in high-tech SMEs ,Industrial Marketing Management, 47(1), 134-142. DOI : 10.1016/j.indmarman.2015.02.033
  16. S. B. Jeon (1995). A Positive Study on the Factors Affecting of Factory Automation Technology. Doctoral dissertation. Kyungnam University, Changwon.
  17. K. Mckinney, V. Yoon, & F. M. Zahedi (2002). The measerment of webcustomer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 296-315. DOI : 10.1287/isre.13.3.296.76
  18. X. M . Song & M. E. Parry. (1997). The Determinants of Japanese New Product Successes. Journal of Marketing Research, 34(1), 64-76. https://doi.org/10.1177/002224379703400106
  19. S. B. Park. (2011). The Effects on Management Performance of BSC & Activities of SCM, Doctoral dissertation. Uiduk University, Gyengju.
  20. J. Pfeffer, & H. Leblebici. (1997). Information Technology and Organizational Structure. Pacific Sociological Review, 20(1), 241-261. DOI : 10.2307/1388934
  21. J. Y. L. Thong. (1999). An Integrated Modelof Information Systems Adoption in Small Businesses, Journal of Management Information Systems, 15(4), 187-214. DOI : 10.1080/07421222.1999.11518227
  22. V. Grover, & M. D. Goslar. (1993). The Initiation, Adoption, and Implementation of Telecommunications Technologies in U.S. Organization. Journal of Management Information System., 10(1), 141-163. DOI : 10.1080/07421222.1993.11517994
  23. D. B. Stoddard & S. L Jarvenpaa. (1995). Business Process Redesign Tactics for Managing Radical Change. Journal of Management Information Systems. 12(1), 81-107. DOI : 10.1080/07421222.1995.11518071
  24. T. M. Somers & K. Nelson. (2001). The Impact of Critical Success Factors across the Stages of Enterprise Resource Planning Implementations. Hawaii International Conference on System Science. 001(34), 3-6. DOI : 10.1109/HICSS.2001.927129
  25. I. B. Sohn. (2017). A Study on the Effects of Absorptive Capacity and Technology Commercialization Capacity in SMEs on Product Competitiveness: The Moderating Effect of CEO's Entrepreneurship. Doctoral dissertation. Hoseo University, Seoul.
  26. S. E. Fawcett & M. B. Myers. (2001). Product and employee development in advanced manufacturing: implementation and impact. Int. J. Prod. Res, 39(1), 65-79. DOI :10.1080/00207540010002829
  27. S. B. Shim & I. S. Yoo. (2008). The Effect of the Corporate Culture on Production Goals and Management Performances in Toyota Production System. Journal of Commodity Science and Technology, 27(3), 109-122.
  28. W. H. DeLone & E. R. McLean. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30. DOI : 10.1080/07421222.2003.11045748
  29. C. S. Lee. (2008). An Emperical Study On the Effects of Information Service for SME on Information Orientation and Performance. Doctoral dissertation. Chonnam National University, Gwangju.
  30. C. Curtis & W. E. Lyn. (1997). Balanced Scorecards for New Development. Journal of Cost Management. 15(1), 39-51.
  31. E. W. Eldred & M. E. McGrath. (1997). Commercializing new technology-II. Research of Technology Management, 9(1), 29-3.
  32. K. S. Lee. (2011). An Empirical Study on the Activity Factors Influencing New Product Development Performance. Doctoral dissertation. Seokyeong University, Seoul.
  33. M. C. Cooper, D. M. Lambert & J. D Pagh. (1997). Supply Chain Management: More Than a New Name for logistics. The International Journal of Logistics, 8(1), 1-13. DOI : 10.1108/09574099710805556
  34. J. C. David, A. S. Roatch, T. Godsby, J. A. Ecker, & S. M. Swartzi. (1998). An Empirical Comparison of Anticipatory and Response-Based Supply Chain Strategies. The International of Logistics Management, 9(2), 21-34. DOI : 10.1108/09574099810805816
  35. Q. Cao & S. Dowlatshahi. (2005). The Impact of Alignment Between Virtual Enterprise and Information Technology on Business Performance in an Agile Manufacturing Environment. Journal of Operations Management, 23(5), 531-550. DOI : 10.1016/j.jom.2004.10.010
  36. J. G. Kil. (2011). A Study on the Revitalization for introducing SCM of Chinese Market Entrants. KOREA Logistics Review, 21(5), 77-110.
  37. J. F. Hair, R. E. Anderson, R. L. Tatham, & W. C. Black. (1998). Multivariate Data Analysis: With Readings. 4th ed. Prentice Hall.
  38. C. Fornell & D. F. Larcker. (1998). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-51. https://doi.org/10.2307/3151312
  39. R. F. Falk, & N. B. Miler. (1992). A premier for soft modeling Akron. Ohio, The University of Akron.