A Study on the Influence of Smart Factory Key Factors on Management Performance through Internal Environmental Factors in Small and Medium Businesses

중소기업에서 내부 환경요인을 통한 Smart Factory 핵심요인이 경영성과에 미치는 영향 연구

  • 진성옥 (대전대학교 융합컨설팅학과) ;
  • 서영욱 (대전대학교 융합컨설팅학과)
  • Received : 2019.05.30
  • Accepted : 2019.07.20
  • Published : 2019.07.28


This study is an empirical study of 'the effect of the key factors of Smart Factory on management performance through internal environmental factors in small and medium enterprises'. The purpose of the research is to verify that the implementation of a Smart Factory affects the performance of management and contribute to the continued development of the company, and to suggest the national policy of expanding the deployment of a Smart Factory. The procedures were surveyed by working-level officials of small and medium-sized manufacturing companies with a Smart Factory and statistically analyzed with the SPSS and SMART PLS. The results of the study showed that first, the environmental factors within the company had a positive effect on the key components of the Smart Factory. Second, the key factor in Smart Factory has had a positive impact on management performance. The above evidence shows that the key factors in smart factory considering the environmental factors of an enterprise affect its management performance, thus laying the theoretical foundation for the performance of smart factory construction. In the future, we will study how to build a Smart Factory.


Smart Factory;Change Management;Communication;Production Automation;Operation and Resource Management System;Supply Chain Management

DJTJBT_2019_v17n7_115_f0001.png 이미지

Fig. 1. Research model

DJTJBT_2019_v17n7_115_f0002.png 이미지

Fig. 2. Verification of the research model

Table 1. Operational Definition of Variables

DJTJBT_2019_v17n7_115_t0001.png 이미지

Table 2. Factor Analysis and Reliability Analysis

DJTJBT_2019_v17n7_115_t0002.png 이미지

Table 3. Discriminant Validity Analysis

DJTJBT_2019_v17n7_115_t0003.png 이미지

Table 4. Hypothesis Verification Results

DJTJBT_2019_v17n7_115_t0004.png 이미지


  1. Y. C. Lee. (2003). The Relationship between Organizational Communication, Oganizational Commitment and Satisfaction of Dans Performance Participation. Doctoral dissertation. Dongduk Women's University, Seoul.
  2. J. H. Lim & J. H.. Mok. (2006). A Theoretical Study On the Toyota Production System and New JIT. Korean Business Review, 19(1). 93-114.
  3. J. H. Lee & S. H. Joo. (2004). A Study on the ERP and Internal Performance at the Integrated Standpoint. Management Education Research, 34(1), 427-447.
  4. M. S. Lee & S. B. Park. (2009). The Impact of Internal Business Process in BSC and SCM on the Performance -Focused on Distribution Companies- jdmr, 12(5), 113-129.
  5. D. B. Stoddard & S. L Jarvenpaa. (1995). Business Process Redesign Tactics for Managing Radical Change. Journal of Management Information Systems. 12(1), 81-107.
  6. 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
  7. K. H. Roberts & C. A. O'Relly. (1974). Failures in upward Communication in organization: Three Possible Culprits. Academy of Management Journal, 17(2), 205-215.
  8. C. W. Downs & M. D. Hazen. (1997). A factor analytic study of communication satisfaction. Journal of Business Communication. 14(3), 63-73. DOI:10.1177/002194367701400306
  9. J. H. Lee. (2016). Influence of Communication and Job Satisfaction on Job Performance of SME Employees -Focusing on Mediation Effect of Organization Commitment-. Doctoral dissertation. Hoseo University, Seoul.
  10. 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
  11. Korea Chamber of Commerce and Industry. (2014). A Study on the Industry Reference Model for the Spread of Smart Factories. Seoul.
  12. G May & B Stahl. (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
  13. M. Suzuki, N. Ando & H. Nishikawa. (2019). Intra-organizational communication and its consequences. Management Decision, 57(1), 71-85. DOI: 10.1108/MD-02-2018-0159
  14. J. H. Kim. (2012). How Strategic Performance Measurement System relates to Employee's Performance (in-role Performance): Communication, Organization Culture Change and Reduction of Conflict. Korean Accounting Journal, 21(3), 225-251.
  15. M.. Dotoli, A.. Fay, M.. Miskowicz & C. Seatzu. (2016). Advanced control in factory automation: a survey. International Journal of Production Research, 55(5), 1243-1259. DOI:10.1080/00207543.2016.1173259
  16. J. Patalas-Maliszewska & M. Skrzeszewska (2018). An Evaluation of the effectiveness of applying the MES in a Maintenance Department -A Case Study. Foundations of Management, Vol. 10(1), 257-270. DOI: 10.2478/fman-2018-0020
  17. C. W. Craighad, J. W. Patterson, P. L. Roth & A. H. Segars. (2006). Enabling the benefits of Supply Chain Management Systems: an empirical study of Electronic Data Interchange (EDI) in manufacturing. International Journal of Production Research, 44(1), 135-157. DOI:10.1080/00207540500161019
  18. C. H. Choe.. (2018). The Impact of MES (Manufacturing Execution System) deploymenton Management Performance in Small Manufacturing Company. Doctoral dissertation. Kangwon National University, Chuncheon.
  19. S. B. Jeon (1995). A Positive Study on the Factors Affecting of Factory Automation Technology. Doctoral dissertation. Kyungnam University, Changwon.
  20. 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.
  21. K. Mckinney, V. Yoon & F. M. Zahedi. (2002). The measurement of web customer satisfaction: An expectation and disconfirmation approach. Information Systems Research. 13(3), 296-315. DOI:10.1287/isre.
  22. 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. Vol. 19(4), 9-30. DOI:10.1080/07421222.2003.11045748
  23. 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.
  24. 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.
  25. 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.
  26. 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
  27. J. G. Kil. (2011). A Study on the Revitalization for introducing SCM of Chinese Market Entrants. KOREA Logistics Review, 21(5), 77-110.
  28. C. D. Ittner & D. F. Larcker. (1998). Are Nonfinancial Measures Leading Indicators of Financial Performance? An Analysis of Customer Satisfaction. Journal of Accounting Research, Vol. 36(1), 1-35. DOI:10.2307/2491304
  29. S. H. Jin, C. G. Lee & W. J. Yoo. (2013). The Impact of Performance by the QMS through the Mediation of Absorptive Capacity in Manufacturing Company. J Korean Soc Qual Manag, 41(1), 15-38.
  30. J. F. Hair, R. E. Anderson, R. L. Tatham & W. C. Black. (1998). Multivariate Data Analysis: With Readings. 4th ed. Prentice Hall.
  31. C. Fornell & D. F. Larcker. (1998). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-51.
  32. R. F. Falk, & N. B. Miler. (1992). A premier for soft modeling Akron. Ohio, The University of Akron.