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korean management review - Vol. 50, No. 4

[ Article ]
korean management review - Vol. 50, No. 4, pp.913-928
Abbreviation: kmr
ISSN: 1226-1874 (Print)
Print publication date 31 Aug 2021
Received 10 Feb 2021 Accepted 28 Feb 2021

Estimating the Relative Importance on the Selection Factors of IT Service Contractors between Public Institutions and Private Companies
Jay In Oh
(First Author) Dankook University (

IT서비스 업체 선정 요인의 상대적 중요도 산정: 공공기관과 민간기업 간 비교를 중심으로

This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted, distribution, and reproduction in any medium, provided the original work is properly cited.
Funding Information ▼


Since IT Outsourcing has been popular, the competition among IT service providers became to be intensified as winning contracts is the critical success factor for them. Thus, this paper identified the factors that influence the selection of IT service providers via the related literature review and in-depth interviews with related experts with more than 10 years of rich experience in the industry. The review and interviews resulted in the establishment of the AHP analysis model consisting of 5 criteria with 17 sub-criteria. Based on the analysis of the data collected from this research, the sub-criteria were weighted and the characteristics of the IT service industry were reflected, indicating that the sub-criteria of high importance were applied strategically depending on various environmental characteristics.

Keywords: IT Service, Contractor Selection, Priority, AHP, Public Institutions and Private Companies


The present research was conducted by the research fund of Dankook University in 2020.

1. Alarcon, Luis Fernando and Claudio Mourgues (2002), “Performance Modeling for Contractor Selection,” Journal of Management in Engineering, 18(2), pp.52-60.
2. Alsugair, Abdullah M.(1999), “Framework for Evaluating Bids of Construction Contractors,” Journal of Management in Engineering, 15 (2), pp.72-78.
3. An, Won Young and Jay In Oh(2017), “Factors Affecting the Success of IT Service Venture Firms,” Journal of Information Technology Services, 16(4), pp.47-64.
4. Anagnostopoulos, K. P. and A. P. Vavatsikos (2006), “An AHP model for Construction Contractor Prequalification,” Operational Research, 6(3), pp.333-346.
5. Arslan, Gokhan, Serkan Kivrak, M. Talat Birgonul, and Irem Dikmen(2008), “Improving Subcontractor Selection Process in Construction Projects: Web-based Sub-contractor Evaluation System (Webses),” Automation in Construction, 17(4), pp.480-488.
6. Banaitiene, Nerija and Audrius Banaitis(2006), “Analysis of Criteria for Contractors' Qualification Evaluation,” Technological and Economic Development of Economy, 12(4), pp.276-282.
7. Bendana, Ricardo, Alfredo del Cano, and M. Pilar de la Cruz(2008), “Contractor Selection: Fuzzy-control Approach,” Canadian Journal of Civil Engineering, 35(5), pp.473-486.
8. Biong, Harald(2012), “Choice of Subcontractor in Markets with Asymmetric Information: Reputation and Price Effects,” Journal of Business and Industrial Marketing, 28(1), pp.60-71.
9. Chalvin, Stéphane(2014), “There is No IT Outsourcing without a Transition: An Introduction to ITO Transitions,” PMI Virtual Library, pp. 1-9.
10. Choi, Seung-Kyu and Jay In Oh(2017), “A Research on the Factors to Introduce Crowdfunding in the Swine Industry,” Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, 7(7), pp. 661-670.
11. Djavanshir, G. R.(2005), “Surveying the Risks and Benefits of IT Outsourcing,” IT Professional, 7(6), pp.32-37.
12. El-Abbasy, Mohammed S., Tarek Zayed, Marwa Ahmed, Hani Alzraiee, and Mona Abouhamad (2013), “Contractor Selection Model for Highway Projects Using Integrated Simulation and Analytic Network Process Construction Projects,” Journal of Construction Engineering and Management, 139(7), pp.755-767.
13. El-Sawalhi, Nabil, David Eaton, and Rifat Rustom (2007), “Contractor Pre-qualification Model: State-of-the-art,” International Journal of Project Management, 25(5), pp.465-474.
14. Hatush, Zedan and Martin Skitmore(1998), “Contractor Selection Using Multi-criteria Utility Theory: An Additive Model,” Building and Environment, 33(2), pp.105-115.
15. Holt, Gary D.(1998), “Which Contractor Selection Methodology?,” International Journal of Project Management, 16(3), pp.153-164.
16. Jorgensen, Magne and Gunnar J. Carelius(2004), “An Empirical Study of Software Project Bidding,” IEEE Transactions on Software Engineering, 30(12), pp.953-969.
17. Kang, Shin-Yeong and Jay In Oh(2019), “A Study on Analyzing the Priority of mHealth Adoption Factors: Focusing on General Hospitals in Korea,” Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, 9(4), pp.565-573.
18. Keum, Myong Ki and Jay In Oh(2016), “A Study on the Influencing Effects of the Sustainable Management Efforts on the Perceived Performance of Firms,” Information Systems Review, 18(3), pp.1-29.
19. Khalfan, A. M.(2004), “Information Security Considerations in IS/IT Outsourcing Projects: A Descriptive Case Study of Two Sectors,” International Journal of Information Management, 24, pp.29-42.
20. Ko, Chien-Ho, Min-Yuan Cheng, and Tsung-Kuei Wu(2007), “Evaluating Sub-contractors Performance Using EFNIM,” Automation in Construction, 16(4), pp.525-530.
21. Ko, Seakho, Tae-Dong Oh, and Jay In Oh(2009), “A Study on the Influencing Factors of the Acceptance on the BSC Performance Indicators in the Public Sector, Information Systems Review, 11(3), pp.1-24.
22. Lai, K. K., S. L. Liu, and S. Y. Wang(2004), “A Method used for Evaluating Bids in the Chinese Construction Industry,” International Journal of Project Management, 22(3), pp. 193-201.
23. Lee, Hyun Ku and Jay In Oh(2017), “The Classification of Smart City Services: Focusing on the Application Cases of Big Data,” Korean Management Science Review, 42(4), pp.147-161.
24. Lee, Kyung-bae and Jay In Oh(2010), “A Study on the Influencing Factors on the Profit Improvement Rate of IT Service Projects,” Journal of Information Technology Applications and Management, pp.127-156.
25. Lim, Jae Su and Jay In Oh(2012), “The Relationship between Three Contexts and Intention of Using in the Cloud Computing Environment: A PLS Path Model Approach,” INFORMATION, 15(12), pp.6239-6254.
26. Ng, S. Thomas and R. Martin Skitmore(2001), “Contractor Selection Criteria: A Cost-benefit Analysis,” IEEE Transactions on Engineering Management, 48(1), pp.96-106.
27. Nieto-Morote, Ana and Francisco Ruz-Vila(2012), “A Fuzzy Multi-criteria Decision-making Model for Construction Contractor Prequalification,” Automation in Construction, 25, pp.8-19.
28. Palaneeswaran, Ekambaram and Mohan Kumaraswamy (2001), “Recent Advances and Proposed Improvements in Contractor Prequalification Methodologies,” Building and Environment, 36(1), pp.73-87.
29. Plebankiewicz, Edyta(2009), “Contractor Prequalification Model Using Fuzzy Sets,” Journal of Civil Engineering and Management, 15(4), pp. 377-385.
30. Plebankiewicz, Edyta(2010), “Construction Contractor Prequalification from Polish Clients' Perspective,” Journal of Civil Engineering and Management, 16(1), pp.57-64.
31. Rapcsak, T., Z. Sagi, T. Toth, and L. Ketszeri(2000), “Evaluation of Tenders in Information Technology,” Decision Support Systems, 30(1), pp.1-10.
32. Russell, Jeffrey S. and Miroslaw J. Skibniewski (1988), “Decision Criteria in Contractor Prequalification,” Journal of Management in Engineering, 4(2), pp.148-164.
33. Saaty, Thomas L.(1977), “A Scaling Method for Priorities in Hierarchical Structures,” Journal of Mathematical Psychology, 15(3), pp.234-281.
34. Sayre, Wallace S.(1958), “Premises of Public Administration: Past and Emerging,” Public Administration Review, 18(2), pp.102-105.
35. Senthil, S., B. Srirangacharyulu, and A. Ramesh (2014), “A Robust Hybrid Multi-criteria Decision Making Methodology for Contractor Evaluation and Selection in Third-party Reverse Logistics,” Expert Systems with Applications, 41(1), pp.50-58.
36. Singh, D. and Robert L. K. Tiong(2005), “A Fuzzy Decision Framework for Contractor Selection,” Journal of Construction Engineering and Management, 131(1), pp.62-70.
37. Singh, D. and Robert L. K. Tiong(2006), “Contractor Selection Criteria: Investigation of Opinions of Singapore Construction Practitioners,” Journal of Construction Engineering and Management, 132(9), pp.998-1008.
38. Sodenkamp, Mariya A., Madjid Tavana, and Debora Di Caprio(2016), “Modeling Synergies in Multi-criteria Supplier Selection and Order Allocation: An Application to Commodity Trading,” European Journal of Operational Research, 254(3), pp.859-874.
39. Topcu, Y. Ilker(2004), “A Decision Model Proposal for Construction Contractor Selection in Turkey,” Building and Environment, 39(4), pp.469-481.
40. Wang, Wei-Chih, Wen-Der Yu, I-Tung Yang, Chun-Chang Lin, Ming-Tsung Lee, and Yuan-Yuan Cheng(2013), “Applying The AHP to Support the Best-value Contractor Selection-lessons Learned from Two Case Studies in Taiwan,” Journal of Civil Engineering and Management, 19(1), pp.24-36.
41. Watt, D. J., B. Kayis, and K. Willey(2009), “Identifying Key Factors in the Evaluation of Tenders for Projects and Services,” International Journal of Project Management, 27(3), pp.250-260.
42. Watt, D. J., B. Kayis, and K. Willey(2010), “The Relative Importance of Tender Evaluation and Contractor Selection Criteria,” International Journal of Project Management, 28(1), pp.51-60.
43. Xia, Bo, Albert Chan, Jian Zuo, and Keith Molenaar (2013), “Analysis of Selection Criteria for Design-builders through the Analysis of Requests for Proposal,” Journal of Management in Engineering, 29(1), pp.19-24.
44. Yang, Jyh‐Bin and Wei‐Chih Wang(2003), “Contractor Selection by the Most Advantageous Tendering Approach in Taiwan,” Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A/Chung-kuo Kung Ch’eng Hsuch K’an, 26(3), pp.381-387.
45. Yoon, Soo Young and Jay In Oh(2018), “A Study on the Factors that Affect the Intention to Use Big Data by IT, Human and Organizational Resources,” Korean Management Science Review, 43(4), pp.67-94.
46. Yu, Dae Beom and Jay In Oh(2016), “Influencing Factors on Outsourcing Success in the Defense Sector,” Information Systems Review, 18(1), pp.101-125.

∙ The author Jay In Oh is Professor of MIS at Dankook University. He received his B.A. in Business Administration from Seoul National University, an MBA from Bowling Green State University, and his Ph.D. in Business Administration from the University of Houston. His research interests include the areas, such as smart city, big data, business ethics, IT Services, innovation, and CIO, where he has published 14 books as well as over 50 articles in referred journals.