Abstract

http://ssrn.com/abstract=1485049
 
 

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A Dynamic Structural Model of User Learning on the Mobile Internet


Anindya Ghose


New York University - Leonard N. Stern School of Business

Sang Pil Han


City University of Hong Kong (CityUHK) - Department of Information Systems

January 29, 2011

NET Institute Working Paper No. 09-24

Abstract:     
Consumer adoption and usage of mobile Internet-based content services has been growing steadily over the past few years in many countries around the world. In this paper, we develop and estimate a dynamic structural model of user behavior and learning with regard to content generation and usage activities in mobile multimedia environments. Users learn about two different categories of web content – (i) content from regular social networking and community (SNC) sites and (ii) content from mobile portal sites. They can choose to engage in the creation (uploading) and consumption (downloading) of multimedia content from these two categories of websites. In our context, users have two sources of learning about how well the content matches their preferences – (i) direct experience through their own behavior and (ii) indirect experience such as the behavior of their social network neighbors. To incorporate these issues, we develop a dynamic structural model and estimate it using a unique dataset of consumers’ mobile Internet-based content creation and usage behavior over a 3-month time period. Our estimates suggest that, on an average, the content downloaded from mobile portal sites has the highest level of match value with user preferences. In contrast, the content downloaded from SNC sites has the lowest level of match value. Learning based on direct experience is more accurate (has less variability) than learning based on indirect experience. Our policy simulations suggest that mobile operators can dynamically tailor their content and incentivize users to generate content according to user characteristics and their preferences. Potential implications for mobile operators and mobile advertisers are discussed.

Number of Pages in PDF File: 32

Keywords: structural modeling, mobile media, mobile portals, Internet websites, uploading content, downloading content, dynamic programming, simulated maximum likelihood estimation

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Date posted: October 8, 2009 ; Last revised: May 9, 2011

Suggested Citation

Ghose, Anindya and Han, Sang Pil, A Dynamic Structural Model of User Learning on the Mobile Internet (January 29, 2011). NET Institute Working Paper No. 09-24. Available at SSRN: http://ssrn.com/abstract=1485049 or http://dx.doi.org/10.2139/ssrn.1485049

Contact Information

Anindya Ghose (Contact Author)
New York University - Leonard N. Stern School of Business ( email )
44 West 4rth Street
New York, NY 10012
United States
Sang Pil Han
City University of Hong Kong (CityUHK) - Department of Information Systems ( email )
83 Tat Chee Avenue
Kowloon
Hong Kong
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References:  37
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