IDEAS home Printed from https://ideas.repec.org/a/spp/jkmeit/1291.html
   My bibliography  Save this article

Determinants Of Mobile Phone Customer Satisfaction In The Kurdistan Region

Author

Listed:
  • Nabaz T. Khayyat

    (College of Engineering, TEMEP, Seoul National University, San 56-1, Shilim-dong, Kwanak-gu, Seoul 151-742 Korea)

  • Almas Heshmati

    (Department of Food and Resource Economics, College of Life Sciences and Biotechnology, Korea University, East Building Room 217, Anam-dong Seongbukgu, Seoul 136-713, Korea)

Abstract

This study examines the customer satisfaction of the telecommunications service in Kurdistan region of Iraq. The purpose is to identify the key factors that determine the customer satisfaction of the telecommunications services. A conceptual model is specified and a number of hypotheses are tested with a sample of 1,458 Kurdish mobile phone users in 2010. Discrete choice methodology is used to test the three models for user satisfaction: Binomial logit model for overall satisfaction, and multinomial logit model for brand use and for handset preferred features. Overall the findings show that the Kurdish customers are generally satisfied with the purchased mobile telecommunication services. The findings have implications for competition in the market and the flows of investment resources to the targeted market segments for potential expansion.

Suggested Citation

  • Nabaz T. Khayyat & Almas Heshmati, 2012. "Determinants Of Mobile Phone Customer Satisfaction In The Kurdistan Region," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(3), pages 1-7, June.
  • Handle: RePEc:spp:jkmeit:1291
    as

    Download full text from publisher

    File URL: http://www.scientificpapers.org/download/165/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    2. 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.
    3. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gijón, Covadonga & Garín-Muñoz, Teresa & Pérez-Amaral, Teodosio & López-Zorzano, Rafael, 2013. "Satisfaction of individual mobile phone users in Spain," Telecommunications Policy, Elsevier, vol. 37(10), pages 940-954.
    2. Suárez, David & García-Mariñoso, Begoña & Santos, Iván, 2016. "Satisfaction of business customers with mobile phone and internet services in Spain," Telecommunications Policy, Elsevier, vol. 40(1), pages 52-61.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    2. Vardit Landsman & Moshe Givon, 2010. "The diffusion of a new service: Combining service consideration and brand choice," Quantitative Marketing and Economics (QME), Springer, vol. 8(1), pages 91-121, March.
    3. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    4. Misra, Aditi & Shirgaokar, Manish & Weinstein Agrawal, Asha & Dobbs, Bonnie & Wachs, Martin, 2022. "How older adults use Ride-hailing booking technology in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 11-30.
    5. Nguyen Thi Tuyet Mai & Takahashi Yoshi & Nham Phong Tuan, 2013. "Technology acceptance model and the paths to online customer loyalty in an emerging market," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 25(2), pages 231-248.
    6. Lee, Kyootai & Yan, Aihua & Joshi, Kailash, 2011. "Understanding the dynamics of users’ belief in software application adoption," International Journal of Information Management, Elsevier, vol. 31(2), pages 160-170.
    7. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    8. Cheng, Leilei & Yin, Changbin & Chien, Hsiaoping, 2015. "Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
    9. Wen, Chieh-Hua & Huang, Chia-Jung & Fu, Chiang, 2020. "Incorporating continuous representation of preferences for flight departure times into stated itinerary choice modeling," Transport Policy, Elsevier, vol. 98(C), pages 10-20.
    10. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    11. Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2023. "The Refugee’s Dilemma: Evidence from Jewish Migration out of Nazi Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(2), pages 1273-1345.
    12. Risselada, Hans & Verhoef, Peter C. & Bijmolt, Tammo H.A., 2010. "Staying Power of Churn Prediction Models," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 198-208.
    13. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    14. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    15. Tina Birgitte Hansen & Jes Sanddal Lindholt & Axel Diederichsen & Rikke Søgaard, 2019. "Do Non-participants at Screening have a Different Threshold for an Acceptable Benefit–Harm Ratio than Participants? Results of a Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(5), pages 491-501, October.
    16. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    17. Doyle, Orla & Fidrmuc, Jan, 2006. "Who favors enlargement?: Determinants of support for EU membership in the candidate countries' referenda," European Journal of Political Economy, Elsevier, vol. 22(2), pages 520-543, June.
    18. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    19. Tovar, Jorge, 2012. "Consumers’ Welfare and Trade Liberalization: Evidence from the Car Industry in Colombia," World Development, Elsevier, vol. 40(4), pages 808-820.
    20. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.

    More about this item

    Keywords

    Logit model; Mobile Telecommunication; Customer Satisfaction; Service providers; Kurdistan Region; Iraq;
    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
    • N35 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Asia including Middle East

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spp:jkmeit:1291. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adrian Ghencea (email available below). General contact details of provider: http://www.scientificpapers.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.