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An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet

Author

Listed:
  • Anindya Ghose

    () (Stern School of Business, New York University, New York, New York 10012)

  • Sang Pil Han

    () (Stern School of Business, New York University, New York, New York 10012)

Abstract

We quantify how user mobile Internet usage relates to unique characteristics of the mobile Internet. In particular, we focus on examining how the mobile-phone-based content generation behavior of users relates to content usage behavior. The key objective is to analyze whether there is a positive or negative interdependence between the two activities. We use a unique panel data set that consists of individual-level mobile Internet usage data that encompass individual multimedia content generation and usage behavior. We combine this knowledge with data on user calling patterns, such as duration, frequency, and locations from where calls are placed, to construct their social network and to compute their geographical mobility. We build an individual-level simultaneous equation panel data model that controls for the different sources of endogeneity of the social network. We find that there is a negative and statistically significant temporal interdependence between content generation and usage. This finding implies that an increase in content usage in the previous period has a negative impact on content generation in the current period and vice versa. The marginal effect of this interdependence is stronger on content usage (up to 8.7%) than on content generation (up to 4.3%). The extent of geographical mobility of users has a positive effect on their mobile Internet activities. Users more frequently engage in content usage compared to content generation when they are traveling. In addition, the variance of user mobility has a stronger impact on their mobile Internet activities than does the mean. We also find that the social network has a strong positive effect on user behavior in the mobile Internet. These analyses unpack the mechanisms that stimulate user behavior on the mobile Internet. Implications for shaping user mobile Internet usage behavior are discussed. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:57:y:2011:i:9:p:1671-1691
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    File URL: http://dx.doi.org/10.1287/mnsc.1110.1350
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    References listed on IDEAS

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    Cited by:

    1. repec:eee:joinma:v:39:y:2017:i:c:p:55-68 is not listed on IDEAS
    2. Yi-Fen Chen & Shi-Han Chang, 2016. "The online framing effect: the moderating role of warning, brand familiarity, and product type," Electronic Commerce Research, Springer, vol. 16(3), pages 355-374, September.
    3. repec:eee:jouret:v:93:y:2017:i:1:p:79-95 is not listed on IDEAS
    4. Yoo, Bosul & Katsumata, Sotaro & Ichikohji, Takeyasu, 2017. "A Multi-Country Comparison of User Innovation Behaviors on Smartphone Applications," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168553, International Telecommunications Society (ITS).
    5. 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.
    6. 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.
    7. Raymond, Myriam & Kamel, Sherif & Iskander, Rawy, 2015. "On the suitability of the work system framework as a methodology for researching IoT implementations in developing countries," 2015 Regional ITS Conference, Los Angeles 2015 146350, International Telecommunications Society (ITS).
    8. Gal Oestreicher-Singer & Arun Sundararajan, 2012. "The Visible Hand? Demand Effects of Recommendation Networks in Electronic Markets," Management Science, INFORMS, vol. 58(11), pages 1963-1981, November.
    9. Brenda Mak & Paul Beckman & Nicole Bohn, 2016. "Perceived Usefulness and Satisfaction of Mobile Phone for Users with Disabilities," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-16, April.
    10. Paulo Albuquerque & Polykarpos Pavlidis & Udi Chatow & Kay-Yut Chen & Zainab Jamal, 2012. "Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content," Marketing Science, INFORMS, vol. 31(3), pages 406-432, May.
    11. 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.
    12. Catherine Tucker, 2011. "Virality, Network Effects and Advertising Effectiveness," Working Papers 11-06, NET Institute.
    13. repec:eee:proeco:v:191:y:2017:i:c:p:97-112 is not listed on IDEAS
    14. Bosul Yoo & Sotaro Katsumata & Takeyasu Ichikohji, 2017. "The Impact of Customer Orientation on Quantity and Quality of User-Generated Content: A Multi-Country Case Study of Mobile Applications," Discussion Papers in Economics and Business 17-12, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP).
    15. repec:eee:joinma:v:30:y:2015:i:c:p:34-45 is not listed on IDEAS
    16. repec:spr:infosf:v:16:y:2014:i:3:d:10.1007_s10796-012-9356-y is not listed on IDEAS

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