IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v37y2013i4p357-371.html
   My bibliography  Save this article

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 Germany

Author

Listed:
  • Gerpott, Torsten J.
  • Thomas, Sandra
  • Weichert, Michael

Abstract

This work explores personal characteristics and mobile Internet (MI) use behaviors of consumers equipped with four distinct types of advanced handsets for accessing the Internet via cellular radio infrastructures of mobile network operators (MNO). Furthermore, it investigates the extent to which personal and mobile appliance characteristics explain variance in actual MI use intensity. Data on two demographic variables, three MNO relationship characteristics and actual MI use intensity (average monthly volume of mobile IP traffic generated by a subscriber in May and June 2011) of 9321 adult consumers with a flat MI pricing scheme are extracted from customer files of the German subsidiary of a large international MNO. 959, 2213, 2410 and 3739 of the sample members use an Apple iPhone 3, an Apple iPhone 4, a model running with Google’s Android operating system (OS) and other MI-enabled mobile OS/phone types, respectively. Compared to the adult population in Germany, persons at least 50 years of age are clearly underrepresented among MI adopters with the four studied device types. Differences between the four phone type groups with regard to gender, age, time from enrollment and MI use experience emerge as statistically significant, but they achieve only minor substantial relevance. MI use intensity is highly positively skewed: In each of the four appliance groups, a small number of users disproportionately add to the total MI traffic generated by the subjects. Consumers’ advanced OS/handset type strongly contributes towards explaining MI use intensity variance. iPhone subscribers generate more traffic than Android customers who in turn show a higher MI activity level than individuals running other web-enabled mobile models. Age is the only studied personal characteristic consistently showing a (negative) association with MI usage, which both is statistically and materially significant. Conclusions are drawn for MNO on MI marketing issues. Implications of study limitations for research on MI adoption and use behaviors on the MI are also outlined.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:telpol:v:37:y:2013:i:4:p:357-371
    DOI: 10.1016/j.telpol.2012.04.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596112000699
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.telpol.2012.04.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    3. 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.
    4. Kim, Byoungsoo, 2012. "The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents," Telecommunications Policy, Elsevier, vol. 36(1), pages 69-81.
    5. Martin Kenney & Bryan Pon, 2011. "Structuring the Smartphone Industry: Is the Mobile Internet OS Platform the Key?," Journal of Industry, Competition and Trade, Springer, vol. 11(3), pages 239-261, September.
    6. 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.
    7. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    8. 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.
    9. Tseng, Fang-Mei & Lo, Hui-Yi, 2011. "Antecedents of consumers' intentions to upgrade their mobile phones," Telecommunications Policy, Elsevier, vol. 35(1), pages 74-86, February.
    10. Son, Minhee & Han, Kyesook, 2011. "Beyond the technology adoption: Technology readiness effects on post-adoption behavior," Journal of Business Research, Elsevier, vol. 64(11), pages 1178-1182.
    11. 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.
    12. Kenney, Martin & Pon, Bryan, 2011. "Structuring the Smartphone Industry. Is the Mobile Internet OS Platform the Key?," Discussion Papers 1238, The Research Institute of the Finnish Economy.
    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. 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.
    2. Torsten J. Gerpott & Phil Meinert, 2016. "Correlates of using the billing system of a mobile network operator to pay for digital goods and services," Information Systems Frontiers, Springer, vol. 18(6), pages 1265-1283, December.
    3. Kaiquan Xu & Jason Chan & Anindya Ghose & Sang Pil Han, 2017. "Battle of the Channels: The Impact of Tablets on Digital Commerce," Management Science, INFORMS, vol. 63(5), pages 1469-1492, May.
    4. Marius Michels & Wilm Fecke & Jan‐Henning Feil & Oliver Musshoff & Frederike Lülfs‐Baden & Saskia Krone, 2020. "“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 192-207, April.
    5. Shinohara, Sobee & Akematsu, Yuji & Morikawa, Hiroyuki & Tsuji, Masatsugu, 2013. "Current issues of the Japanese mobile phone market caused by smartphones," 24th European Regional ITS Conference, Florence 2013 88528, International Telecommunications Society (ITS).
    6. Sirong Chen & Rob Law & Shaogui Xu & Mu Zhang, 2020. "Bibliometric and Visualized Analysis of Mobile Technology in Tourism," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    7. Shinohara, Sobee & Morikawa, Hiroyuki & Tsuji, Masatsugu, 2015. "Competition or smartphones? Factors promote mobile broadband adoption in OECD countries," 2015 Regional ITS Conference, Los Angeles 2015 146349, International Telecommunications Society (ITS).
    8. Shinohara, Sobee & Morikawa, Hiroyuki & Tsuji, Masatsugu, 2016. "How Smartphones Transformed Market and Competition of Mobile Broadband in OECD Member Countries," 27th European Regional ITS Conference, Cambridge (UK) 2016 148704, International Telecommunications Society (ITS).
    9. Shinohara, Sobee & Morikawa, Hiroyuki & Tsuji, Masatsugu, 2014. "Empirical analysis of mobile broadband adoption in major six countries from the view of competition policy," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106849, International Telecommunications Society (ITS).

    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. Torsten J. Gerpott & Sandra Thomas & Michael Weichert, 2014. "Usage of established and novel mobile communication services: Substitutional, independent or complementary?," Information Systems Frontiers, Springer, vol. 16(3), pages 491-507, July.
    2. 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.
    3. Torsten J. Gerpott & Phil Meinert, 2016. "Correlates of using the billing system of a mobile network operator to pay for digital goods and services," Information Systems Frontiers, Springer, vol. 18(6), pages 1265-1283, December.
    4. Garcia-Swartz, Daniel D. & Muhamedagić, Mensur & Saenz, Diana, 2019. "The role of prices and network effects in the growth of the iPhone platform," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 110-122.
    5. Paolo Calvosa, 2021. "Entry, Exit and Innovation over the Industry Life Cycle in Converging Sectors: An Analysis of the Smartphone Industry," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 151-151, July.
    6. Bryan Pon & Timo Seppälä & Martin Kenney, 2015. "One Ring to Unite Them All: Convergence, the Smartphone, and the Cloud," Journal of Industry, Competition and Trade, Springer, vol. 15(1), pages 21-33, March.
    7. Jumaan, Ibrahim A. & Hashim, Noor Hazarina & Al-Ghazali, Basheer M., 2020. "The role of cognitive absorption in predicting mobile internet users’ continuance intention: An extension of the expectation-confirmation model," Technology in Society, Elsevier, vol. 63(C).
    8. Campbell-Kelly, Martin & Garcia-Swartz, Daniel & Lam, Richard & Yang, Yilei, 2015. "Economic and business perspectives on smartphones as multi-sided platforms," Telecommunications Policy, Elsevier, vol. 39(8), pages 717-734.
    9. Jörg Freiling, 2015. "Getting off the Track to Found – The Influence of Path Dependence on the Entrepreneurial Process (Zbaczajac z drogi ku zalozeniu przedsiebiorstwa – wplyw zaleznosci od szlaku na proces przedsiebiorczy," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 13(56), pages 13-37.
    10. Kim, Dong-hyu & Lee, Heejin, 2016. "Effects of user experience on user resistance to change to the voice user interface of an in‑vehicle infotainment system: Implications for platform and standards competition," International Journal of Information Management, Elsevier, vol. 36(4), pages 653-667.
    11. Heinrich, Torsten, 2015. "A Replicator Dynamic and Simulation Analysis of Network Externalities and Compatibility Among Standards," MPRA Paper 67198, University Library of Munich, Germany.
    12. Garcia-Swartz, Daniel D. & Garcia-Vicente, Florencia, 2015. "Network effects on the iPhone platform: An empirical examination," Telecommunications Policy, Elsevier, vol. 39(10), pages 877-895.
    13. 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.
    14. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    15. Uzunca, Bilgehan & Sharapov, Dmitry & Tee, Richard, 2022. "Governance rigidity, industry evolution, and value capture in platform ecosystems," Research Policy, Elsevier, vol. 51(7).
    16. Sang-Gun Lee & Eui-bang Lee & Chang-Gyu Yang, 2014. "Strategies for ICT product diffusion: the case of the Korean mobile communications market," Service Business, Springer;Pan-Pacific Business Association, vol. 8(1), pages 65-81, March.
    17. Mucha, Tomasz & Seppälä, Timo, 2020. "Artificial Intelligence Platforms – A New Research Agenda for Digital Platform Economy," ETLA Working Papers 76, The Research Institute of the Finnish Economy.
    18. Rong, Ke & Patton, Dean & Chen, Weiwei, 2018. "Business models dynamics and business ecosystems in the emerging 3D printing industry," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 234-245.
    19. Kim, Dong-hyu & Lee, Heejin & Kwak, Jooyoung, 2017. "Standards as a driving force that influences emerging technological trajectories in the converging world of the Internet and things: An investigation of the M2M/IoT patent network," Research Policy, Elsevier, vol. 46(7), pages 1234-1254.
    20. Rufín, Ramón & Medina, Cayetano & Rey, Manuel, 2016. "Influence of lapse of time when measuring causes and effects in the consumption of online services," Journal of Business Research, Elsevier, vol. 69(5), pages 1919-1923.

    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:eee:telpol:v:37:y:2013:i:4:p:357-371. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.