Journal of KIISE:Software and Applications (한국정보과학회논문지:소프트웨어및응용)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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An Empirical Study on the Success Factors of Implementing Product Life Cycle Management Systems

제품수명주기관리 시스템 도입의 성공요인에 관한 실증연구

  • Received : 2010.10.22
  • Accepted : 2010.11.02
  • Published : 2010.12.15
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Abstract

To analyze the national competitiveness of Korea leads to the conclusion that global high-tech enterprises have been playing leading and pulling roles in making Korea in line with advanced countries even though the country is lacking in various natural resources. The characteristics of these companies above are as follows; Firstly, these enterprises continue to accumulate core technologies and know-how with highly competent human resources and well-organized management. Secondly, they are well structured and equipped with information technology infrastructures which are, for example, ERP, SCM, CRM, and PLM. Among them PLM is considered to be the principal core information technology infra in manufacturing industry. The urgent task of manufacturing industry recently is to develop new products to accept various needs of consumers, and to launch the products in time to market, which requires the manufactures to be equipped with product development infra and system to upgrade product fulfillment and mass production system in a short period. The introduction of PLM System is a solution of core strategy as a manufacturer for collaboration, global development, reengineering of manufacturing system, the innovation and efficiency of manufacturing process, and product quality improvement. The purpose of this study is to analyze the success factors of introducing PLM System and its practicing effectiveness. And the results of empirical study are as follows; (1) Technical success factors positively impact system quality and user satisfaction, (2) Organizational success factors positively impact system quality, but does not impact user satisfaction, (3) Environmental success factors positively impact system quality and user satisfaction, (4) System quality positively impacts user satisfaction, (5) User satisfaction positively impacts the effectiveness of implementing PLM systems, but system quality does not impact it.

우리나라 국가 경쟁력을 엄밀히 분석해 보면, 세계적인 글로벌 대기업들과 첨단 산업체들이 주도적인 견인차 역할을 하기 때문에 부존자원이 빈약한 환경에서도 놀라울 정도로 급성장하며, 우리나라를 선진국 반열에 올려놓았다고 할 수 있다. 이러한 주요 대기업 들은 주로 제조업체로서 오랜 세월동안 핵심 기술과 노하우를 축적하며 핵심인재와 경영층을 보유 하고 있고, 아울러 정보기술 인프라가 구축이 잘 되어져 있다고 볼 수 있다. 정보기술 인프라로는 ERP, SCM, CRM, PLM 등이 구축되어져 있는데 제조업에서는 PLM이 주요 핵심 정보기술 인프라라고 볼 수 있다. 오늘날 제조업계에서는 소비자의 요구사항을 최대로 수용한 신제품을 개발하고, 가능한 한 적기에 시장에 출시하기 위하여, 단기간에 제품의 완성도를 높이고 양산체제에 들어갈 수 있도록 하는 제품개발 인프라와 시스템이 요구되고 있다. 이러한 과제에 선진적으로 대처하고 있는 우리나라의 제조업계가 협업 및 글로벌 개발, 제조체제의 정비, 제조 프로세스의 혁신 및 효율화, 아울러 품질 향상을 위한 핵심전략 으로 선택한 것이 바로 PLM 시스템 도입이라고 할 수 있다. 본 논문에서는 두 가지 연구문제를 선정하였다. 첫째, PLM 시스템의 성공요인이 무엇인지를 규명하고, 둘째, 이 성공요인들이 PLM 시스템 도입효과에 어떤 영향을 미치는지를 규명하고자 하였다. 이를 위하여 PLM 시스템의 성공요인 모델을 설정하여 PLM 시스템 성공요인과 시스템 품질과 사용자 만족도 간의 관계, 시스템 품질과 사용자 만족도 간의 관계, 시스템 품질 및 사용자 만족도와 시스템 도입효과 간의 관계에 대한 가설을 설정하였다. PLM 시스템의 성공요인 모델을 실증적으로 검증하기 위하여 PLM 시스템 구축을 완료 후 운영 중인 기업을 대상으로 표본을 선정한 후 설문조사를 실시하였다. 취합된 설문지를 분석하여 다음과 같은 가설검증 결과를 도출하였다. 첫째, 기술적 성공요인은 시스템 품질과 사용자 만족도에 영향을 미친다. 둘째, 조직적 성공요인은 시스템 품질에 영향을 미치지만 사용자 만족도에는 영향을 미치지 않는다. 셋째, 환경적 성공요인은 시스템 품질과 사용자 만족도에 영향을 미친다. 넷째, 시스템 품질은 사용자 만족도에 영향을 미친다. 다섯째, 사용자 만족도는 시스템 도입 효과에 영향을 미치지만 시스템 품질은 시스템 도입 효과에 영향을 미치지 않는다.

Keywords

References

  1. Kim SangHoon, Choi K wangDon, "An Empirical Study on Critical Success Factors in Implementing ERP System," Korea Business &Science Journal, vol 26, no.4, pp.1-21, 2001.
  2. Han SeokHee, Lee YounCheol, "An Empirical Study on TOE Framework based factors for Motivation and Diffusion of PLM" e-Business institute, vol.9, no.4, pp.363-391, 2008.
  3. ClM Data, PLM Market Analysis Report for 2004 Module 1, 2004.
  4. CIM Data, Measuring PLM' s Business Value, 2003.
  5. Dassault Systemes, PLM Reference Book, 2007.
  6. CIM Data, Digital Manufacturing in PLM Environment 2006.
  7. DeLone, W. H., E. R. McLean, "Information systems success: the quest for the dependent variable," lnformation Systems Research, vol.3, no.1, pp.60-95, 1992. https://doi.org/10.1287/isre.3.1.60
  8. Myers, B. L., L. A. Kappelman, V. R. Prybutok, "A Comprehensive model for Asssessing the Quality and Productivity of the InformationSystems Function: Toward a Theory for Information Systems Assessment," lnformation Resource Management Journal, 5, pp.51-70, 1997.
  9. Seddon, P. B., "A Respecification and Extension of the DeLone and McLean Model of IS Success," lnformation Systems Research, vol.8, no.3, pp.240-253, 1997. https://doi.org/10.1287/isre.8.3.240
  10. DeLone, W. H.,E. R. McLean, "The DeLone and McLean model of information systems success: a ten-year update," Journal of Management lnformation Systems, vol.19, no.4, pp.9-30, 2003.
  11. Lee JaeJung, "Success Factors of implementing ERP system: based on phased Success Factors from Markus," lnformation System Study, vol.15, no.2, pp.153-171, 2006. https://doi.org/10.1016/j.jsis.2005.10.001
  12. Kim SungJe, Cho JaeRim, "Major Success Factor of ERP System Implementation," Korea Security Business Science Institute, pp.167-176, 2008.
  13. Iacovou, C. L., I, A. S. Benbasat, Dexter, "Elec tronic Data Interchange and Small Organizations: Adoption and impact of technology," MIS Quarterly, vol.19, no.4, pp.465-485, 1995. https://doi.org/10.2307/249629
  14. Tomatzky, L. G. and F. M , The Processes of Technological Innovation, Lexington Books, Lexington MA, 1990.
  15. Chau, P. Y. K., Tam, K. Y., "Factors affecting the adoption of open systems: An exploratory study," MIS Quarterly, vol.21, no.1, pp.1-21, 1997. https://doi.org/10.2307/249740
  16. Chau, P. Y. K., P. J. H. Hui "Information technology acceptance by individual professionals: a model comparison approach," Decision Sciences, vol.32, no.4, pp.699-719, 2001. https://doi.org/10.1111/j.1540-5915.2001.tb00978.x
  17. Zhu, K., K. L. Kraemer and S. Xu, "E-business Adoption by European Firms: A Cross-country Assessment of the Facilitators and Inhibitaors," European Journal of lnfonnatíon Systems, vol.12, no.4, pp.251-268, 2003. https://doi.org/10.1057/palgrave.ejis.3000475
  18. Zhu, K., K. K. L., S. Xu and J. Dedrik, "Added Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry," Journal of Management lnformation Systems, 2004.
  19. Zhu, K. and K. L. Kraemer, "Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry," lnformation Systems Research, vol.18, no.1, pp.61-84, 2005.
  20. Zhu, K., K. L. Kraemer and K. Xu, "The Process of lnnovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, vol.52, no.10, pp.557-576, 2006.
  21. Oliver, R. L., "Measurement and Evaluation of Satisfaction Processes in Retail Settings," Journal of Retailing, vol.57, no.3, pp.5-48, 1981.
  22. Oliver, "Cognitive, Affective, and Attribute Bases of Satisfaction Response," Journal of Consumer Research, vol.20, no.3, pp.418-430, 1993. https://doi.org/10.1086/209358
  23. Karahanna, E., "Information technology adoption across time: a cross-sectional comparison of preadoption and post-adoption beliefs," MIS Quarterly, vol.23, no.2, pp.183-213, 1999. https://doi.org/10.2307/249751
  24. Kim Hee Woong, Hock Chuan Chan, Yee Pia Chan, and Sumeet Gupta, "Understanding the Balanced Effects of Belief and Fieling on Information Systems Continuance," 25th lnternational Conference on Information Systems, pp.297-310, 2004.
  25. Kim, S. S., N. K. Malhotra and S. Narasimhan, "Two competing perspectives on automatic use: a theoretical and empirical comparison," lnformation Systems Research, vol.16, no.4, pp.418-432, 2005. https://doi.org/10.1287/isre.1050.0070
  26. Wixom and Todd, "A theoretical integration of user satisfaction and technology acceptance," lnformation Systems Research, vol.16, no.1, pp.85-102, 2005. https://doi.org/10.1287/isre.1050.0042
  27. Hamilton, S. and N. L. Chervan, "Evaluating IS Effectiveness-Part1:Comparing Evaluation Approaches," MIS Quarterly, vol.5, no.3, pp.5-69, 1981.
  28. Kang ByongSeo, Cho CheolHo, Study&Research Method, Trade Business Company, 2005.
  29. Nunnally, J. C., Psychometric Theory, McGraw-Hill, 1978.