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Determinants of Mobile Telecommunication Adoption in the Kurdistan Region of Iraq

Author

Listed:
  • Nabaz T. Khayyat

    (Technology Management, Economic, and Policy Program, College of Engineering, Seoul National University)

  • Almas Heshmati

    (Department of Food and Resource Economics, College of Life Sciences and Biotechnology, Korea University)

Abstract

This study attempts to analyze Kurdistan Region's potentials in the effective usage of mobile telecommunication. The purpose is to identify the key factors determining the adoption of mobile telephony service. A conceptual model is specified and a number of hypotheses tested with a sample of 1,458 Kurdish mobile phone users in 2010. Discrete choice methodology is used to test two models of mobile telephony acceptance: Choice of Service Providers and Usage Pattern. The results show that Korek is the most favorite service provider in Kurdistan Region and the subscribers are mostly using the service for their work. The finding has implications for competition in the market and flows of investment resources to targeted market segments with potential expansion.

Suggested Citation

  • Nabaz T. Khayyat & Almas Heshmati, 2012. "Determinants of Mobile Telecommunication Adoption in the Kurdistan Region of Iraq," TEMEP Discussion Papers 201289, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2012.
    • Handle: RePEc:snv:dp2009:201289
    as

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    File URL: http://temep-repec.my-groups.de/DP-89.pdf
    File Function: First version, September 2012
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    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    3. Teo, T. S. H. & Pok, Siau Heong, 2003. "Adoption of WAP-enabled mobile phones among Internet users," Omega, Elsevier, vol. 31(6), pages 483-498, December.
    4. Turel, Ofir & Serenko, Alexander, 0. "Satisfaction with mobile services in Canada: An empirical investigation," Telecommunications Policy, Elsevier, vol. 30(5-6), pages 314-331, June.
    5. Margherita Pagani, 2004. "Determinants of adoption of third generation mobile multimedia services," Post-Print hal-02313098, HAL.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    7. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Akinleke W. Olaitan, 2018. "Socio-Demographic Factors That Determine the Usage of Mobile Phones in Rural Communities," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 4(2), pages 16-23, 02-2018.

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    More about this item

    Keywords

    Method; Modeling; Economics; Survey; Adoption.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • N35 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Asia including Middle East

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