서비스연구 (Journal of Service Research and Studies)

  • 제12권3호
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  • Pages.70-92
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  • 2022
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  • 2234-2850(pISSN)
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  • 2466-1813(eISSN)
서비스사이언스학회 (The Society of service Science)
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사전 프로젝트 리스크 평가와 프로젝트 성과와의 관계에 관한 탐색적 연구

An Exploratory Study on the Relationship with Previous Project Risk Evaluation and Project Performance

  • 김호상 (포스코 ICT RM 그룹) ;
  • 양경식 (SK주식회사 C&C ICT Biz. Digital 그룹)
  • Hosnag, Kim (POSCO ICT RM Group, Majored in technology start-up, Gachon University) ;
  • Kyungsik Yang (ICT Biz Digital Group in SK Holdings C&C, Graduate School of MIS, Kookmin University)
  • 투고 : 2022.08.01
  • 심사 : 2022.09.21
  • 발행 : 2022.09.30
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초록

프로젝트에 대한 리스크 평가는 프로젝트의 성과를 사전에 판단할 수 있기 때문에 프로젝트를 수행하는 기업의 입장에서 사업수행 이전에 진행하는 활동 중 가장 중요한 활동이다. 본 연구는 이러한 프로젝트 리스크 평가가 사업 수행 성과 및 고객만족도에 어떠한 영향관계를 가지는 지 분석하기 위해 기술 및 일정 등과 같은 전통적인 리스크 요인과 재무적, 전략적, 특별 리스크 등과 같이 기업에서 활용하는 리스크 요인을 종합하여 리스크 평가를 위한 요인을 마련하였다. 분석을 위해 전체 134개 공공 및 민간 프로젝트에 대한 사전 리스크 평가 결과와 사업 수행성과 및 고객만족도 등 프로젝트 수행 결과에 대한 정보를 수집하였다. 분석 결과 도출된 리스크 요인들은 비즈니스 성과 및 고객 만족도에 어느정도 영향을 미치는 것으로 나타났으나, 리스크가 반드시 성과에 부(-)의 영향을 미치지는 않다는 결과도 나타났다. 이는 리스크에 대한 관리 수준에 따라 프로젝트 성과가 영향 받는다는 것을 의미하는 것으로, 향후 연구에서는 리스크에 대한 관리 수준과 프로젝트 성과와의 관계에 대한 실증적인 연구가 필요할 것으로 판단된다.

Project risk assessment is the most important activity performed at the beginning of a project because it can judge the performance of the project in advance. In this study, We were evaluated risk with traditional risk factors such as technology and schedule, etc, and Indirect risks factors such as financial, strategic, and special risks. and then, we analyzed what kind of relationship these risk evaluation factors have on business performance and customer satisfaction. As a result of the research, it was found that the risk evaluation items had a relationship with performance and customer satisfaction. However, It is possible that the performance may differ depending on how risks are managed after risk assessment. Therefore, follow-up studies should be conducted, including information on risk management practices. This study is meaningful that presenting practical risk evaluation items and at the same time identifying the relationship with performance. We plan to further the study in future studies including the evaluation of risk management process.

키워드

참고문헌

  1. Byungseo Kang, A Research Methodology for Causal Analysis, Muyokpub, 2000.
  2. Gyesoo Kim, AMOS Structural Equation Model Analysis, SPSS Academy, 2002.
  3. Seunghee Kim, "Risk Factors Identification and Priority Analysis of Bigdata Project", JIIBC, Vol.19, No.2, 2019, 25-40.
  4. Changgi Kim, Factors Influencing End User Computing Performance: Integration of Rational Choice Model and Social Impact Model, KAIST, Doctor degree Thesis, 1997.
  5. Hyunsoo Kim, "A Study on SI Project Environment and Risk Management Practice", Korean Management Science Review, Vol.16, No.1, 1999, 203-219.
  6. Snagwoo Park, Sunggu Cho, "Analysis of Risks and Corresponding Response Measures for Effective Communication Management in Outsourcing Environment of SI Projects", Spring Joint Academic Conference of Korean Institute Of Industrial Engineers, 2014. 1934-1946.
  7. Jongmo Park, Junghee Si, Sang-eun Lee, "A Case Study for Process Improvement of a Small-Scale Project Risk Management", 2011 Conference call of The Korean Institute of Information Scientists and Engineers, Vol.38, No1, 2011 94-97.
  8. Kyungsik Yang, Hyunsoo Kim,"A Study on the Relationship between Outsourcing Risks and Performance for Contractors, Journal of MIS in Korea, Vol. 13 No. 4, 2003, 119-145.
  9. Kyungsik Yang, An Exploratory Study on the Relationship between Outsourcing Performance and IT Outsourcing Risk Factors, University of Kookmin, Doctor Degree Thesis, 2002.
  10. Yunho Lee, Seongseok Seo, Byungho Lee, Seungho Choi, Corporate management and risk managemen, AJIN Publishing Co., 2001.
  11. Seongmong Lee , Eunhong Kim , Songchul Moon, "The Effect of PMO Service and Capability on Project Performance", Journal of Information Technology Applications&Management, Vol. 20, No.1, 2013. 107-132.
  12. Sungbong Jang, Keeyoung Kwahk, , "The Effects of IT Project Risk Management Factors on Project Performance", Korean Management Science Review, Vol.28, No.2, 2011, 31-51.
  13. Sookjin Cho, Seokjun Lee, Yukkun Hahm, "An Empirical Study on Risk Factors in Information System Project Management", Journal of MIS in Korea, Vol.16, No. 3, 2006. 114-158.
  14. Hyogeun Choi, "IT Services Market Topics and Forecasts for 2022", Monthly SW-centered society, Software Policy Research Institute, 2022.(https://www.idc.com/getdoc.jsp?containerId=prAP48591021).
  15. Korea IDC, Korea IT Service Market Forecast Report.(https://www.idc.com/getdoc.jsp?containerId=prAP46839520)
  16. Hyunsick Jung, Euijeong Kim, Hongcheol Kim, Namyung Lee,"An Exploratory Study of Risk Management Factors in Defense IT Convergence Experiment Program Vol.11, No.5, 2019, 1347-1352.
  17. Sooin Lee, Sanghyun Kim, "Impacts of Low User and Project Management Risk on IT Project of Public Sector: The Moderating Effect of User Knowledge", Journal of Digital Convergence, Vol.18, No.6, 2020, 187-196. https://doi.org/10.14400/JDC.2020.18.6.187
  18. Atkinson, R., "Project Managment : Cost, Time and Quality. Two Best Guesses and a Phenomenon: It's Time to Accept Other Success Criteria", International Journal of Project Management, Vol. 17, No.6., 1999, 337-342.
  19. Baccarini, D, "The logical Framwork Method of Defining Project Success", Project Management Journal, Vol.30, No.4., 1999, 25-32. https://doi.org/10.1177/875697289903000405
  20. Banker, R. D., G. Potter, and D. Srinivasan, "An Empirical Investigation of an Incentive
  21. Plan that Includes Nonfinancial Performance Measures", Accounting Review Vol. 75, No.1, 2000, 65-92. https://doi.org/10.2308/accr.2000.75.1.65
  22. Barki,H., S. Rivard, Jean Talbo., "An Integrative Contingency Model of Software Project Risk Management", Journal of Management Information Systems, Vol. 17, No.4., 2001, 37-69.
  23. Brakus, J. J., Schmitt, B. H., and Zarantonello, L., "Brand Experience: What Is It? How Is It Measured? Does It Affect Loyalty?," Journal of Marketing, Vol. 73, 2009, 52-68.
  24. Bennatan, E.M., On Time Within Budget: Software Project Management Practices and Techniques, 3rd ed., John Wiley and Sons, 2000.
  25. Boehm, B.W., Software Risk Management, IEEE Computer Society Press, Los Alamitos, Calfornia, 1989.
  26. DeLon, W.H. and E.R McLean "Information System Success: The Quest for the Dependent Variable", Information System Research, Vol. 3, No. 1, 1992, 60-95. https://doi.org/10.1287/isre.3.1.60
  27. Doll, W.J. and G. Torkzadeh, "A Discrepancy Model of End-User Computing Involvement", Management Science, Vol.35, No.10, 1989, 1151-1171 https://doi.org/10.1287/mnsc.35.10.1151
  28. Gogan, J.L., J. Fedorowicz, and A. Rao, "Assessing Risks in Two Projects:A Strategic Opportunity and a Necessary Evil," Communications of the Association for Information Systems, Vol.1, No.15, 1999, 1-34.
  29. Hormozi, A.M and Dube, L.F., "Establishing project control : Scheduling, cost and quality", SAM Advanced Management Journal, Vol. 64, No.4, 1999, 32-39.
  30. McFarlan, F.W., "Portfolio Approach to Information Systems," Harvard Business Review, Vol.59, No.5, 1981, 142-150.
  31. Nidumolu, S.R., "A Comparison of The Structural Contingency and Risk-Based Perspectives on Coordination in Software-Development Projects," Journal of Management Information Systems, Vol.13, No.2., 1996, 77-113
  32. Pham, T. S. H. and Ahammad, M. F., "Antecedents and consequences of online customer satisfaction: A holistic process perspective," Technological Forecasting & Social Change, Vol. 124, 2017. pp. 332-342. https://doi.org/10.1016/j.techfore.2017.04.003
  33. PMBOK, Guide Fourth Edition, PMI(http://www.pmi.org/), 2008, 239-270.
  34. Standish, Chaos Report, Standish Group 2015 (https://www.infoq.com/articles/standish-chaos-2015)
  35. Strassmann, P.A., The Squandered Computer: Evaluating the Business Alignment of Information Technologies, Information Economics Press, 1997.