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An empirical analysis of switching cost in the smartphone market in South Korea

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  • Park, Yuri
  • Koo, Yoonmo

Abstract

Switching cost is an important factor for policy makers to consider because it sets a higher price for locked-in consumers by making the market less competitive. Though there has been some empirical research analyzing switching costs in the mobile telecommunications market, studies considering the characteristics of smartphones, which have their own operating systems and applications, are still rare. In this study, we conduct a hypothetical conjoint survey to analyze switching cost in the smartphone handset market and derive the cost by using the hierarchical Bayesian multinomial logit model to consider respondents׳ heterogeneity. Switching costs of handsets and OS are empirically estimated, and the magnitudes depend on the levels of searching cost, learning cost, and uncertainty when purchasing new smartphones.

Suggested Citation

  • Park, Yuri & Koo, Yoonmo, 2016. "An empirical analysis of switching cost in the smartphone market in South Korea," Telecommunications Policy, Elsevier, vol. 40(4), pages 307-318.
  • Handle: RePEc:eee:telpol:v:40:y:2016:i:4:p:307-318
    DOI: 10.1016/j.telpol.2016.01.004
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    3. Lukasz Grzybowski & Ambre Nicolle, 2021. "Estimating Consumer Inertia in Repeated Choices of Smartphones," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 33-82, March.
    4. Bölen, Mehmet Cem, 2020. "From traditional wristwatch to smartwatch: Understanding the relationship between innovation attributes, switching costs and consumers' switching intention," Technology in Society, Elsevier, vol. 63(C).
    5. Yoonsun Oh & Jungsuk Oh, 0. "A critical incident approach to consumer response in the smartphone market: product, service and contents," Information Systems and e-Business Management, Springer, vol. 0, pages 1-21.
    6. Benedict Bender, 2020. "The Impact of Integration on Application Success and Customer Satisfaction in Mobile Device Platforms," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 515-533, December.
    7. Lim, Chulmin & Kim, Seongcheol, 2022. "Why would the users of Google's cloud services intend to switch to alternative services?," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265653, International Telecommunications Society (ITS).
    8. Kim, Junghun & Lee, Hyunjoo & Lee, Jongsu, 2020. "Smartphone preferences and brand loyalty: A discrete choice model reflecting the reference point and peer effect," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    9. Assarzadegan, Parisa & Hejazi, Seyed Reza, 2021. "A game theoretic approach for analyzing the competition between national and store brands by considering store loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    10. Muhammad Tanveer & Harsandaldeep Kaur & George Thomas & Haider Mahmood & Mandakini Paruthi & Zhang Yu, 2021. "Mobile Phone Buying Decisions among Young Adults: An Empirical Study of Influencing Factors," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    11. Yuen, Kum Fai & Ng, Wei Hong & Wang, Xueqin, 2023. "Switching intention in the online crowdsourced delivery environment: The influence of a platform's technological characteristics and relational bonding strategies," Technology in Society, Elsevier, vol. 72(C).
    12. Rebeca Escobar Briones, 2018. "Impacto de las modificaciones en el proceso de portabilidad numérica sobre los servicios de telecomunicación móvil/The impact on telecommunications services of modifications to mobile number portab," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 33(1), pages 3-28.

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