Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

Influence of smart factor's implementing energy management system on innovation resistance and performance

스마트팩토리의 에너지관리시스템 수용확산요인이 구성원의 혁신저항 및 업무성과에 미치는 영향

  • Chu, Jin-Young (Dept. of Energy Policy, Korea Polytechnic University) ;
  • Lee, Dong-Hun (Dept. of Energy Policy, Korea Polytechnic University)
  • 추진영 (한국산업기술대학교 지식기반기술에너지대학원 정책전공) ;
  • 이동헌 (한국산업기술대학교 지식기반기술에너지대학원 정책전공)
  • Received : 2017.11.29
  • Accepted : 2018.01.20
  • Published : 2018.01.28
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, we investigated the influence of smart factory's implementing energy management system on innovation resistance and work performance. We surveyed and analyzed 211 employees of system construction companies in the metropolitan area. In order to increase the introduction performance through diffusion of the energy management system, it is found that it is important to support the organizational-level management strategy to reduce the user's resistance to innovation. In conclusion, this study has implications for positively leading to the efficiency and management performance of the manufacturing process of the manufacturing enterprises, and it is necessary to follow - up studies considering the characteristics of the energy management system and the expansion of the research scope in the future.

본 연구에서는 스마트팩토리의 에너지관리스템 수용확산요인이 구성원의 혁신저항 및 업무성과에 미치는 영향에 대해 연구하였다. 이에 수도권 지역 에너지관리시스템을 구축한 기업 구성원 211명을 대상으로 자료를 수집하고, 구조방정식 모형분석 및 기타 부가적인 분석방법을 이용하여 검증하였다. 분석 결과, 먼저 에너지관리시스템 수용확산요인에 관한 지각이 높을수록 혁신저항에는 부(-)적 영향을, 업무성과에는 정(+)적 영향을 미쳤으며, 혁신저항은 업무성과에 부(-)적 영향을 미침과 동시에, 수용확산요인과 업무성과 사이에서 부분매개효과를 갖는 것으로 나타났다. 따라서 에너지관리시스템 수용확산요인을 통한 도입성과를 높이기 위해서는 사용자의 혁신저항을 줄이기 위한 조직차원적 관리전략의 뒷받침이 중요함을 알 수 있었다. 결국, 본 연구를 통해 제조기업 생산프로세스의 효율성 및 경영성과를 긍정적으로 이끌기 위한 함의를 얻을 수 있었으며, 앞으로 연구범위의 확장과 에너지관리시스템의 특성을 고려한 후속연구가 필요하다고 판단된다.

Keywords

References

  1. Y. Y. Lee, S. G. Cho, C. S. Lee, "The Influence of Information Systems on the Relationship between Management Innovation Techniques and Corporate Performance", Journal of finance and accounting information, Vol.10, No.4, pp.187-204, 2010.
  2. G. J. Lim, S. G. Lee, "The moderating role of suitability factors of strategy between firm characteristics and information technology introduction performance", Journal of the Korea society of computer and information, Vol.20, No.4, pp.119-130, 2015. https://doi.org/10.9708/JKSCI.2015.20.4.119
  3. G. B. Yoon, Y. H. Jang, "Analysis and design of standardization model of IOT-based SME production information system", The Journal of the Convergence on Culture Technology, Vol.2, No.1, pp.87-91, 2016. https://doi.org/10.17703/JCCT.2016.2.1.87
  4. H. Y. Park, "Trends in Production and Manufacturing Technologies Related to Smart Factories", Journal of The Korean Institute of Communication Sciences, Vol.33, No.1, pp.24-29, 2015.
  5. S. H. Kim, M. J. Kim, "Manufacturing innovation policies and challenges topreparefornext-generation production revolution", No.2016-20, Sejong: Science and Technology Policy Institute, 2016.
  6. T. S. Jung, "Developing automation method of factory convergence successfully through smart factory case ", Journal of The Korea Convergence Society, Vol.7, No.1, pp.189-196, 2016. https://doi.org/10.15207/JKCS.2016.7.1.189
  7. C. W. Kim, J. Kim, S. M. Kim, H. H. Tae, "Industrial Energy Management System (FEMS) Technology Trends and Application Examples for Manufacturing Industry Energy Saving", Journal of System Engineering, Vol.44, No.1, pp.22-27, 2015.
  8. Ministry of Trade, Industry and Energy, "Second Energy Basic Plan", 2014.
  9. S. J. Lee, "A Study on the Effects of Innovative Acceptance Factors on the Expansion of Innovation in ERP System", Graduate School of ChangWon University, 2005.
  10. Rogers, E. M., "Diffusion of innovations(4rd ed.)", New York: The Free Press, 1995.
  11. Rogers, E. M., "Diffusion of innovations(3rd ed.)", New York: The Free Press, 1983.
  12. Brancheau, J. C., & Wetherbe, J. C., "The adoption of spreadsheet software: testing innovation diffusion theory in the context of end-user computing", Information systems research, Vol.1, No.2, pp.115-143, 1990. https://doi.org/10.1287/isre.1.2.115
  13. T. W. Kim, "The effect of technology, organization, and environmental factors on the diffusion and performance of SCM information system and the adjustment of company characteristics", Graduate School of Kyungbuk University, 2015.
  14. S. C. Park, S. J. Gwon, "A Study on Determinants of Switching to Cloud Computing: Focusing on Google Docs Case", Journal of The Korean Institute of IT Service, Vol.10, No.3, pp.149-166, 2011.
  15. T. W. Hwang, "Factors influencing intention to use home IoT", Graduate School of Yeonse University, 2016.
  16. E. A. Lee, "The Effect of Suitability between ERP System Information Characteristics and Management Control System on Business Performance", Graduate School of changwon University, 2008.
  17. J. S. Lim, J. S. Lee, J. Y. Oh, "A Study on the Influence of New Technology Expansion Factors on Perceived Expected Performance According to Innovation Trends: Focusing on Cloud Computing Services as a New Innovation", Journal of koea management information, Vol.2014, No.1, pp.788-808, 2014.
  18. Hiltz, S. R., Trouff, M, & Johnson, K., "Experiments in group decision making: Disinhibitation, deindividualization and group process in pen name and real name computer conference", Decision Support System, Vol.5, pp.217-232, 1989. https://doi.org/10.1016/0167-9236(89)90008-0
  19. G. C. Lee, "An Empirical Study on Factors Affecting Groupware Effectiveness", Graduate School of hangug oedae University, 1996.
  20. S. G. Lee, "A Study on Measuring User Satisfaction with Groupware", Graduate School of seoul University, 1996.
  21. S. R. Kang, M. S. Kim, H. D. Yang, "The Effect of Task-Technology Compatibility (TTF) on Groupware Usage and Performance", Korea Management Review, Vol.37, No.1, pp.67-96, 2008.
  22. M. W. Lee, S. C. Kim, "Impact of smart work IT resources on business efficiency and firm performance in service industry", Journal of Digital Convergence, Vol.13, No.7, pp.89-97, 2015. https://doi.org/10.14400/JDC.2015.13.7.89
  23. J. H. Joo, "A Study on the Factors Affecting the Performance of Counselors in System Quality Information System", Graduate School of jeonnam University,, 2016.
  24. S. H. An, M. G. Che, H. J. Lee, "A Study on the Types of Corporate Perceptions of Natural Environmental Regulations and their Impacts on Compliance Level from Corporate Social Responsibility Views", Journal of circulation infomation, Vol.15, No.1, pp.5-22, 2012.
  25. S. G. Ji, G. D. Lee, "The Relationship of Individual Disposition, Innovation Resistance and Innovation Performance", Korea Journal of Business Administration, Vol.52, pp.2107-2132, 2005.
  26. S. G. Ju, Y. G. Son, S. G. Jeon, "Policy Implications for the Smart Work Diffusion: Focusing on the Perceptual Differences on Organizational Effectiveness between Smart Workers and Office Workers", Journal of Digital Convergence, Vol.10, No.4, pp.11-22, 2012. https://doi.org/10.14400/JDPM.2012.10.4.011
  27. Rogers, E. M., "Diffusion of innovations(5th ed.)", New York: Free Press, 2003.
  28. Ram, S., "A model of innovation resistance", Advances in Consumer Research, Vol.14, No.1, pp.208-212, 1987.
  29. J. I. Ban, S. H. Kim, "The Impacts of Innovation Resistance Management on Technological activities and Innovation Performance", Journal of Korea technology innovation society, Vol.15, No.3, pp.627-648, 2012.
  30. B. D. An, G. Y. An, "The Determinants of Innovation Resistance and Innovation Performances", Journal of Korean safety management and sciences, Vol.16, No.1, pp.191-199, 2014. https://doi.org/10.12812/ksms.2014.16.1.191
  31. Moore, G. C., & Benbasat, I., "Development of an instrument to measure the perceptions of adopting an information technology innovation", Informamation Systems Research, Vol.2, No.3, pp.192-222, 1991. https://doi.org/10.1287/isre.2.3.192
  32. Tornatzky, L. G., & Klein, K. J., "Innovation characteristics and innovation adoption implementation: A meta-analysis of findings.", IEEE Transactions on Engineering Management, Vol.29, No.1, pp.28-45, 1982.
  33. Kwon, T. H., & Zmud, R. W., "Unifying the Fragmented Models of Information Systems Implementation," In R. J. Boland and R. Hirschheim (Eds.), Critical Issues in Information Systems Research(pp.227-251), UK, Chichester: John Wiley, 1987.
  34. Lewin, K., "Group Decisions and Social Change: readings in social psychology," New York: Holbrooks, 1952.
  35. Downs, G. W., & Mohr, L. B., "Conceptual Issues in the Study of Innovation", Administrative Science Quarterly, Vol.21, pp.700-714, 1976. https://doi.org/10.2307/2391725
  36. Damanpour, F., "Organizational Innovation: A Meta-Analysis of Effects of Determinants and Moderators", Academy of management Journal, Vol.34, pp.555-590, 1991. https://doi.org/10.2307/256406
  37. McGowan, M. K., & Madey, G. R., "The influence of organisation structure and organisational learning factors on the extent of EDI implementation in US firms", Information Resources Management Journal, Vol.11, No.3, pp.17-27, 1998. https://doi.org/10.4018/irmj.1998070102
  38. S. H. Park, N. J. Jo, T. G. Gang, "The effect of competition strategy and information proportion on the use of ICT", Journal of Industrial Economics and Business, Vol.10, pp.72-85, 2004.
  39. Fishman, R. G., "The Diffusion and Assimilation of Information Technology Innovations, in Framing the Domains of IT Management", Cincinnati, OH: Pinnaflex Education Resources, 2000.
  40. Tushman, M. L., & Anderson, P., "Technological Discontinuities and Organizational Environment", Administrative Science Quarterly, Vol.31, No.3, pp.439-465, 1986. https://doi.org/10.2307/2392832
  41. Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukhopadhyay, T., & Scherlis, W., "Internet paradox: A social technology that reduces social involvement and psychological well-being?", American Psychologist, Vol.53, pp.1017-1031, 1998. https://doi.org/10.1037/0003-066X.53.9.1017
  42. Kraut, R. E., Rice, R. E., Cool, C., & Fish, R. S., "Varieties of social influence: The role of utility and norms in the success of a new communication medium", Organization Science, Vol.9, pp.437-453, 1998. https://doi.org/10.1287/orsc.9.4.437
  43. Agarwal, R., "Individual Acceptance of Information Technologies", Educational Technology Research and Development, Vol.40, pp.90-102, 2000.
  44. Orlikowski, W., "Evolving With Notes: Organizational Change Around Groupware Technology", CCS Working Paper, No.186, Cambridge, MA: MIT, Sloan School of Management, 1995.
  45. Webster, J., & Trevino, L. K., "Rational and social theories as complementary explanations of communication media choices: Two policy-capturing studies," Academy of Management Journal, Vol.38, No.6, pp.1544-1572, 1995. https://doi.org/10.2307/256843
  46. Y. S. Yang, C. H. Shin, "Consumer innovation in accepting new technologies", Journal of korean society of design science, Vol.23, No.3, pp.37-52, 2010.
  47. Zaltman, G., & Wallendorf, M., "Consumer Behavior: Basic Findings and Management Implications.", New York: John Wiley & Sons, 1983.
  48. Y. J. You, "Development and validation of consumer innovation resistance scale", Journal of korea mentality, Vol.12, No.1, pp.191-216, 2011.
  49. Ram, S., & Jung, H. S., "Forced adoption of innovations in organizations: Consequences and implications", Journal of Product Innovation Management, Vol.8, No.2, 117-126, 1991. https://doi.org/10.1016/0737-6782(91)90005-J
  50. Judson, A. S., "A manager's guide to making changes", New York: John Wiley & Sons, 1966.
  51. D. R. Jang, S.D.Jo, "A Study on the Factors Affecting the Innovation Resistance and the Moderating Effect of Perceived Self ", Consumer Science Review, Vol.13, No.3, pp.245-262, 2002.
  52. Y. S. Park, S. I. Lee, S. G. Kim, Y. Yang, "Measurement of Mobile Internet Service Quality and Effect on Marketing Performance", Newsletter of the Korean Society for Quality Management, Vol.35, No.2, pp.63-83, 2007.
  53. S. H. Lim, "Resistance of IT manpower to mobile commerce", The Journal of Society for e-Business Studies, Vol.20, No.1, pp.61-78, 2015.
  54. H. Y. Oh, "The Effect of Relative Advantage and Risk Perception on Intention to Use Mobile Easy Payment Service", Journal of Financial Consumers, Vol.5, No.1, pp.33-64, 2015.
  55. Rogers, E. M., & Shoemaker, F. F., "Communication of innovation: A cross cultural approach", N.Y.: The Free Press, 1971.
  56. Chen, L. D., & Hitt, L. M., "Measuring Switching Costs and the Determinants of Customer Retention in Internet-enabled Businesses: a Study of the Online Brokerage Industry", Information Systems Research, Vol.13, No.3, pp.255-274, 2002. https://doi.org/10.1287/isre.13.3.255.78
  57. Wu, J. H., & Wang, S. C., "What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model", Information & Management, Vol.42, No.5, pp.719-729, 2005. https://doi.org/10.1016/j.im.2004.07.001
  58. Y.Y.Jo, "The Influence Factors and Strategic Suitability of KMS on Organizational Performance", Graduate School of Seoul venture University, 2013.
  59. Tait, P., & Vessey, I., "The effect of user involvement on system success", MIS Quarterly, Vol.12, No.1, pp.90-107, 1988.
  60. Y. S. Yoon, "A study on the diffusion factors of enterprise ERP system", Graduate School of Jeonbuk University, 2001.
  61. Igbaria, M., Pavri, F., & Huff, S., "Microcomputer application: An empirical look at usage", Information and Management, Vol.16, No.4, pp.187-196, 1989. https://doi.org/10.1016/0378-7206(89)90036-0
  62. Igbaria, M., Parasuraman, S., & Baroudi, J. J., "A motivational model of microcomputer usage", Journal of Management Information Systems, Vol.13, No.1, pp.127-143, 1996. https://doi.org/10.1080/07421222.1996.11518115
  63. S. H. Kim, G. A. Kim, "An Empirical Study of Factors Influencing Diffusion Process of Cloud Computing and the Moderating Effect of Organizational Supports", Entrue Journal of Information Technology, Vol.11, No.2, pp.197-213, 2012.
  64. Davis, F. D., "User Acceptance of Information Technology System Characteristics, User Perceptions and Behavioral Impacts", International Journal of Man-Machine Studies, Vol.38, No.3, pp.475-487, 1993. https://doi.org/10.1006/imms.1993.1022
  65. Fishbein, M., & Ajzen, I., "Belief, attitude intentions and behavior: An introduction to theory and research", Boston: Addison-Wesley, 1975.
  66. Venkatesh, V., & Brown, S. A., "A longitudinal investigation of personal computers in homes: Adopion determinants and emerging challenge", MIS Quarterly, Vol.25, No.1, pp.71-102, 2001. https://doi.org/10.2307/3250959
  67. Y. J. Choi, "A Study on the Establishment of Responsible Tourism Behavior Model for Tourists Applying Planned Behavior Theory", Graduate School of Dong-a University, 2009.
  68. Oreg, S., "Personality, context and resistance to organizational change", European Journal of Work and Organizational Psychology, Vol.15, No.1, pp.73-101, 2006. https://doi.org/10.1080/13594320500451247
  69. I. M. You, "An Empirical Study on the Influence of Innovation Characteristics on User Resistance and Acceptance in the Proliferation Process of Intelligent Home Network ", Graduate School of kyunghee University, 2011.
  70. Y. G. Choi, "Factors affecting the introduction of enterprise mobile security technology", Graduate School of Dongkuk University, 2014.
  71. Farrell, M. J., "The Measurement of Productivity Efficiency," Journal of the Royal Statistical society, Vol.120, No.3, pp.253-290, 1957. https://doi.org/10.2307/2343100
  72. J. P. Park, "Smart Factory success case analysis of the industry 4.0", Journal of Digital Convergence, Vol.15, No.5, pp.107-115, 2017.
  73. H. Kim, K. H. Park, "The collaborative process and the capabilities of the firm impact on innovation performance in convergence environment", Journal of Digital Convergence, Vol.13, No.5, pp.151-158, 2015.