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Investigating factors influencing the market success or failure of IT services in Korea

Author

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  • Park, Jong-Hyun
  • Kim, Yun Bae
  • Kim, Moon-Koo

Abstract

Many information technology services have been introduced in Korea since the great success of ADSL and CDMA operations, but only a few of these services have succeeded in achieving market diffusion as well as revenue. The success or failure of IT services has significant impact on the national economy and customer welfare. Despite the importance of this sector, there are few studies on the causes underlying the market performances of IT services. This study investigated the critical factors leading to the market results of IPTV, VoIP, W-LAN, WiBro, T-DMB, and S-DMB services in Korea. Using expert surveys and AHP methods, the success or failure factors were identified and their relative weights were evaluated. The results obtained were as follows: (i) The success of such services was mainly due to meeting customer needs, low facility investment costs, service competitiveness, support of ecosystem, and active marketing activities. (ii) The absence of a business model was related to the partial success of services. (iii) Government policy affected service success or failure.

Suggested Citation

  • Park, Jong-Hyun & Kim, Yun Bae & Kim, Moon-Koo, 2017. "Investigating factors influencing the market success or failure of IT services in Korea," International Journal of Information Management, Elsevier, vol. 37(1), pages 1418-1427.
    • Handle: RePEc:eee:ininma:v:37:y:2017:i:1:p:1418-1427
    DOI: 10.1016/j.ijinfomgt.2016.10.004
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    References listed on IDEAS

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    1. In-Soo Han, 2007. "Success of CDMA Telecommunications Technology in Korea: The Role of the Mobile Triangle," Springer Books, in: Jörg C. Mahlich & Werner Pascha (ed.), Innovation and Technology in Korea, pages 287-296, Springer.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Yamakawa, Peter & Cadillo, Gloria & Tornero, Rubén, 2012. "Critical factors for the expansion of broadband in developing countries: The case of Peru," Telecommunications Policy, Elsevier, vol. 36(7), pages 560-570.
    5. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    6. Reed, David & Lansford, James, 2014. "Wi-Fi as a Commercial Service: New Technology and Policy Implications," Telecommunications Policy, Elsevier, vol. 38(8), pages 827-837.
    7. Jörg C. Mahlich & Werner Pascha (ed.), 2007. "Innovation and Technology in Korea," Springer Books, Springer, number 978-3-7908-1914-4, May.
    8. Lehr, William & McKnight, Lee W., 0. "Wireless Internet access: 3G vs. WiFi?," Telecommunications Policy, Elsevier, vol. 27(5-6), pages 351-370, June.
    9. Nikou, Shahrokh & Mezei, József, 2013. "Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP)," Telecommunications Policy, Elsevier, vol. 37(10), pages 915-929.
    10. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    11. Picot, Arnold & Wernick, Christian, 0. "The role of government in broadband access," Telecommunications Policy, Elsevier, vol. 31(10-11), pages 660-674, November.
    12. Jang, Hyeong Yu & Noh, Mi Jin, 2011. "Customer acceptance of IPTV service quality," International Journal of Information Management, Elsevier, vol. 31(6), pages 582-592.
    13. Adhiarna, Nyoman & Hwang, Yoon Min & Park, Min Jae & Rho, Jae Jeung, 2013. "An integrated framework for RFID adoption and diffusion with a stage-scale-scope cubicle model: A case of Indonesia," International Journal of Information Management, Elsevier, vol. 33(2), pages 378-389.
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    1. Yeo, Benjamin & Grant, Delvin, 2018. "Predicting service industry performance using decision tree analysis," International Journal of Information Management, Elsevier, vol. 38(1), pages 288-300.
    2. Grant, Delvin & Yeo, Benjamin, 2018. "A global perspective on tech investment, financing, and ICT on manufacturing and service industry performance," International Journal of Information Management, Elsevier, vol. 43(C), pages 130-145.

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