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Validation of Information Technology Outsourcing Success Model using Structural Equation Modelling

  • 투고 : 2022.06.08
  • 심사 : 2022.12.26
  • 발행 : 2023.03.31

초록

Since the last few decades, information technology outsourcing has been observed as an instrument for technology transfer and rapid economic development, with the potential to change the fate of the nation. However, many emerging countries, including Nepal, continue to struggle to establish a foothold in the international market; they are perplexed about their path toward outsourcing, and they still have ineffective laws and policies in place. A snowball sampling method was used to collect quantitative data inside Kathmandu valley among outsourcing companies, freelancers, consultants, and policymakers. Data were properly tested for reliability using Cronbach's Alpha, analysed using exploratory followed by confirmatory factor analysis, and results were confirmed using convergent and discriminant validity. Second-level validation was performed by partial least squares. The researcher has validated a multidimensional structural model with interdependencies between 8 unobserved and 33 observed variables using path analysis and proposed an information technology outsourcing success model for emerging markets from the vendor's perspective. Similarly, a latent variable 'setup quality' was identified as a new construct omitted by previous researchers in the study of IS success. The model shall be interpreted as "the system dimensions - setup quality, system quality and service quality influence the characteristics - communication quality, user satisfaction, and usage of the products or services. The positive impact of mediating factors leads to individual and organizational benefits, resulting in the overall success of information technology outsourcing."

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참고문헌

  1. Ab Hamid, M. R., Sami, W., and Sidek, M. M. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890(1), 012163. IOP Publishing. https://doi.org/10.1088/1742-6596/890/1/012163 (not found)
  2. Almutairi, H., and Subramanian, G. H. (2005). An empirical application of the Delone and Mclean model in the Kuwaiti private sector. Journal of Computer Information Systems, 45(3), 113-122. https://www.tandfonline.com/doi/abs/10.1080/08874417.2005.11645849
  3. Asli, A., Eric, S., and Nursel, O. (2014). Dynamic Strategic Supplier Selection System with Fuzzy Logic. Social and Behavioral Sciences (2nd World Conference on Business, Economics and Management - WCBEM 2013), 1059-1063. https://doi.org/10.1016/j.sbspro.2013.12.588
  4. Bailey, J. E., and Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545. https://doi.org/10.1287/mnsc.29.5.530
  5. Bapna, R., Barua, A., Mani, D., and Mehra, A. (2010). Cooperation, Coordination and Governance in Multisourcing: An Agenda for Analytical and Empirical Research. Information Systems, 21(4), 785-795. https://doi.org/10.1287/isre.1100.0328
  6. Chang, J. C. J., and King, W. R. (2005). Measuring the performance of information systems: A functional scorecard. Journal of Management Information Systems, 22(1), 85-115. https://doi.org/10.1080/07421222.2003.11045833
  7. Civelek, M. E. (2018). Essentials of structural equation modeling. Essentials of Structural Equation Modeling. Zea E-Books.
  8. Davis, F. (1985). A technology acceptance model for empirically testing new end-user. Information Systems. Retrieved from http://hdl.handle.net/1721.1/15192
  9. DeLone, W. H., and McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
  10. DeLone, W. H., and McLean, E. R. (2003) The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
  11. Doll, W. J., and Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12(2), 258-274. https://doi.org/10.2307/248851
  12. Erturgut, R. (2012). The future of supply chain and logistics management in the strategic organizations: Contractor companies and new generation suppliers. Social and Behavioral Sciences, 46, 4221-4225. https://doi.org/10.1016/j.sbspro.2012.06.230
  13. Falk, R. F., and Miller, N. B. (1992). A Primer for Soft Modeling. University of Akron Press, ISBN-10: 0962262846.
  14. Gable, G. G., Sedera, D., and Chan, T. (2008). Reconceptualizing information system success: The IS-impact measurement model. Journal of the Association for Information Systems, 9(7), 377-408. https://doi.org/10.17705/1jais.00164
  15. Gartner. (2020). Retrieved from https://www.gartner.com/en
  16. Gaskin, J., and Lim, J. (2016). Model Fit Measures. AMOS Plugin. Retrieved from http://statwiki.gaskination.com/index.php?title=Plugins
  17. Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
  18. Iivari, J. (2005). An empirical test of the DeLone-McLean model of information system success. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 36(2), 8-27. https://doi.org/10.1145/1066149.1066152
  19. Investment Board Nepal. (2017). ICT Sector Profile. Retrieved from https://ibn.gov.np/wp-content/uploads/2020/04/ICT-Sector-Profile.pdf
  20. Kearney, A. T. (2021). Global services location index. Forward outlook: Digital resonance as a deciding factor for location strategies. Retrieved from https://www.kearney.com/digital/article/-/insights/the-2021-kearney-global-services-location-index
  21. McKinney, V., Yoon, K., and Zahedi, F. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 296-315. https://doi.org/10.1287/isre.13.3.296.76
  22. Petter, S., DeLone, W. and McLean, E. R. (2013). Information Systems Success: The Quest for the Independent Variables, Journal of Management Information Systems, 29(4), 7-62. https://doi.org/10.2753/MIS0742-1222290401
  23. Pitt, L. F., Watson, R. T., and Kavan, C. B. (1995). Service quality: A measure of information systems effectiveness. MIS Quarterly, 19(2), 173-187. https://doi.org/10.2307/249687
  24. Rainer, R. K. Jr., and Watson, H. J. (1995). The keys to executive information system success. Journal of Management Information Systems, 12(2), 83-98. https://doi.org/10.1080/07421222.1995.11518082
  25. Roldan, J. L., and Sanchez-Franco, M. J. (2012). Variance-Based Structural Equation Modeling: Guidelines for Using Partial Least Squares in Information Systems Research. In M. Mora, O. Gelman, A. Steenkamp, and M. Raisinghani (Eds.), Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems (pp. 193-221). https://doi.org/10.4018/978-1-4666-0179-6.ch010
  26. Trading Economics BoP. (2021). Nepal - ICT Service Exports (BoP, Current US$). Retrieved from Trading Economics: https://tradingeconomics.com/nepal/ictservice-exports-bop-current-us$-wb-data.html
  27. Urbach, N., and Muller, B. (2012). The updated DeLone and McLean model of information systems success. In Y. K. Dwivedi (Ed.), Information Systems Theory: Explaining and Predicting Our Digital Society (pp. 1-18). New York: Springer. https://doi.org/10.1007/978-1-4419-6108-2_1
  28. World Bank Group. (2018). Creating Markets in Nepal: Country Private Sector Diagnostic. Washington, D.C.: IFC. https://doi.org/10.1596/31006