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Empirical research on mobile Internet usage: A meta-analysis of the literature

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  • Gerpott, Torsten J.
  • Thomas, Sandra

Abstract

This paper reviews 175 scholarly empirical publications on mobile Internet (MI) usage intensity levels and potential determinants of respective usage behavior at the individual subscriber level. Based on an overview of MI measurement approaches and units evidence on the development of the average MI data volume generated per subscriber over the last years is summarized. Interindividual variance in MI usage was found to be very large. This raises the question which factors contribute to explaining MI usage differences. A qualitative review and a meta-analysis of correlations between 22 variables grouped into four categories (country, personal user characteristics, MI attribute perceptions/behavioral intentions and factual use conditions) on the one side and MI usage criteria on the other were carried out. Enjoyment, behavioral intention to use MI, educational level, subscription of a flat rate and ease of use turned out to be the five antecedents with the largest sample size- and measurement error-corrected average correlations r¯a with MI usage criteria. Moderator analysis indicated that the approach to measuring MI usage behaviors (subjective versus objective) and geographic origin of a sample (Asia versus Europe/USA) significantly altered relationships between a number of predictors and MI usage. Specifically, mono-method work which measures both explanatory factors and MI usage in one questionnaire was prone to overestimate relationships between independent study variables and self-reports of MI usage. The review derives open research issues in three territories, namely measurement of MI usage, choice of MI usage determinants as well as study sampling and design.

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  • Gerpott, Torsten J. & Thomas, Sandra, 2014. "Empirical research on mobile Internet usage: A meta-analysis of the literature," Telecommunications Policy, Elsevier, vol. 38(3), pages 291-310.
    • Handle: RePEc:eee:telpol:v:38:y:2014:i:3:p:291-310
    DOI: 10.1016/j.telpol.2013.10.003
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    1. Youngsoo Kim & Rahul Telang & William B. Vogt & Ramayya Krishnan, 2010. "An Empirical Analysis of Mobile Voice Service and SMS: A Structural Model," Management Science, INFORMS, vol. 56(2), pages 234-252, February.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Hoyoung Kim & Jinwoo Kim & Yeonsoo Lee, 2005. "An Empirical Study of Use Contexts in the Mobile Internet, Focusing on the Usability of Information Architecture," Information Systems Frontiers, Springer, vol. 7(2), pages 175-186, May.
    5. West, Joel & Mace, Michael, 0. "Browsing as the killer app: Explaining the rapid success of Apple's iPhone," Telecommunications Policy, Elsevier, vol. 34(5-6), pages 270-286, June.
    6. Schlereth, Christian & Skiera, Bernd, 2012. "Measurement of consumer preferences for bucket pricing plans with different service attributes," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 167-180.
    7. Joerg Koenigstorfer & Andrea Groeppel-Klein, 2012. "Consumer acceptance of the mobile Internet," Marketing Letters, Springer, vol. 23(4), pages 917-928, December.
    8. Cecere, Grazia & Corrocher, Nicoletta, 2011. "The intensity of VoIP usage in Great Britain: Users' characteristics and firms' strategies," Telecommunications Policy, Elsevier, vol. 35(6), pages 522-531, July.
    9. Gerpott, Torsten J. & Thomas, Sandra & Weichert, Michael, 2013. "Characteristics and mobile Internet use intensity of consumers with different types of advanced handsets: An exploratory empirical study of iPhone, Android and other web-enabled mobile users in German," Telecommunications Policy, Elsevier, vol. 37(4), pages 357-371.
    10. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    11. Varnali, Kaan & Toker, Ayşegül, 2010. "Mobile marketing research: The-state-of-the-art," International Journal of Information Management, Elsevier, vol. 30(2), pages 144-151.
    12. Gerpott, Torsten J., 2010. "Impacts of mobile Internet use intensity on the demand for SMS and voice services of mobile network operators: An empirical multi-method study of German mobile Internet customers," Telecommunications Policy, Elsevier, vol. 34(8), pages 430-443, September.
    13. Choi, Hun & Kim, Youngchan & Kim, Jinwoo, 2011. "Driving factors of post adoption behavior in mobile data services," Journal of Business Research, Elsevier, vol. 64(11), pages 1212-1217.
    14. Hsu, Chin-Lung & Lu, Hsi-Peng & Hsu, Huei-Hsia, 2007. "Adoption of the mobile Internet: An empirical study of multimedia message service (MMS)," Omega, Elsevier, vol. 35(6), pages 715-726, December.
    15. Anindya Ghose & Sang Pil Han, 2011. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet," Management Science, INFORMS, vol. 57(9), pages 1671-1691, September.
    16. 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.
    17. Antero Kivi, 2010. "Diffusion of mobile data in Finland," Netnomics, Springer, vol. 11(3), pages 243-254, October.
    18. Tojib, Dewi & Tsarenko, Yelena, 2012. "Post-adoption modeling of advanced mobile service use," Journal of Business Research, Elsevier, vol. 65(7), pages 922-928.
    19. Torsten J. Gerpott, 2011. "Determinants of self-report and system-captured measures of mobile Internet use intensity," Information Systems Frontiers, Springer, vol. 13(4), pages 561-578, September.
    20. Ernst Bekkering & Allen C. Johnston & Merrill Warkentin & Mark B. Schmidt, 2009. "An Empirical Assessment of Technology Adoption as a Choice between Alternatives," Information Resources Management Journal (IRMJ), IGI Global, vol. 22(4), pages 23-44, October.
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    9. Wellmann, Nicolas, 2017. "OTT-Messaging and Mobile Telecommunication: A Joint Market? An Empirical Approach," 28th European Regional ITS Conference, Passau 2017 169503, International Telecommunications Society (ITS).
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