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Dyad Calling Behavior: Asymmetric Power and Tie Strength Dynamics

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  • Shi, Mengze
  • Yang, Botao
  • Chiang, Jeongwen

Abstract

We develop a model of dyad calling behavior as the outcome of asymmetric power between the initiating and receiving callers and the strength of their tie. Using a unique mobile phone service dataset, we estimate the model which encapsulates the evolving relationship between pairs of callers. We find that, first, the initiating callers enjoy more power than the receiving callers in determining the call volume. Second, the call volume between a pair of callers increases with the number of their common contacts. Finally, the reciprocity effect is prevalent in mobile phone service consumption. We discuss and demonstrate the implications of our results on firms' telecommunication service pricing decisions.

Suggested Citation

  • Shi, Mengze & Yang, Botao & Chiang, Jeongwen, 2018. "Dyad Calling Behavior: Asymmetric Power and Tie Strength Dynamics," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 63-79.
    • Handle: RePEc:eee:joinma:v:42:y:2018:i:c:p:63-79
    DOI: 10.1016/j.intmar.2017.12.003
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    1. Imbens, Guido W, 1992. "An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling," Econometrica, Econometric Society, vol. 60(5), pages 1187-1214, September.
    2. Robert C. Blattberg & Richard Briesch & Edward J. Fox, 1995. "How Promotions Work," Marketing Science, INFORMS, vol. 14(3_supplem), pages 122-132.
    3. Cosslett, Stephen R, 1981. "Maximum Likelihood Estimator for Choice-Based Samples," Econometrica, Econometric Society, vol. 49(5), pages 1289-1316, September.
    4. Benjamin E. Hermalin & Michael L. Katz, 2004. "Sender or Receiver: Who Should Pay to Exchange an Electronic Message?," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 423-447, Autumn.
    5. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    6. Mitchell, Bridger M, 1978. "Optimal Pricing of Local Telephone Service," American Economic Review, American Economic Association, vol. 68(4), pages 517-537, September.
    7. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737, November.
    8. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
    9. Erin Anderson & Barton Weitz, 1989. "Determinants of Continuity in Conventional Industrial Channel Dyads," Marketing Science, INFORMS, vol. 8(4), pages 310-323.
    10. Mengze Shi, 2003. "Social Network-Based Discriminatory Pricing Strategy," Marketing Letters, Springer, vol. 14(4), pages 239-256, December.
    11. Anja Lambrecht & Katja Seim & Bernd Skiera, 2007. "Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs," Marketing Science, INFORMS, vol. 26(5), pages 698-710, 09-10.
    12. Eugenio J. Miravete, 2003. "Choosing the Wrong Calling Plan? Ignorance and Learning," American Economic Review, American Economic Association, vol. 93(1), pages 297-310, March.
    13. Ching-I Huang, 2008. "Estimating demand for cellular phone service under nonlinear pricing," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 371-413, December.
    14. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    15. Doh-Shin Jeon & Jean-Jacques Laffont & Jean Tirole, 2004. "On the Receiver-Pays Principle," RAND Journal of Economics, The RAND Corporation, vol. 35(1), pages 85-110, Spring.
    16. Zsolt Katona & Miklos Sarvary, 2008. "Network Formation and the Structure of the Commercial World Wide Web," Marketing Science, INFORMS, vol. 27(5), pages 764-778, 09-10.
    17. Jere R. Behrman & Mark R. Rosenzweig, 2006. "Parental Wealth and Adult Children's Welfare in Marriage," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 496-509, August.
    18. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    19. Sridhar Narayanan & Pradeep Chintagunta & Eugenio Miravete, 2007. "The role of self selection, usage uncertainty and learning in the demand for local telephone service," Quantitative Marketing and Economics (QME), Springer, vol. 5(1), pages 1-34, March.
    20. Armstrong, Mark, 1997. "Competition in Telecommunications," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 13(1), pages 64-82, Spring.
    21. Füsun Gönül & Meng Ze Shi, 1998. "Optimal Mailing of Catalogs: A New Methodology Using Estimable Structural Dynamic Programming Models," Management Science, INFORMS, vol. 44(9), pages 1249-1262, September.
    22. Stephen C. Littlechild, 1975. "Two-Park Tariffs and Consumption Externalities," Bell Journal of Economics, The RAND Corporation, vol. 6(2), pages 661-670, Autumn.
    23. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
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