An empirical analysis of consumption patterns for mobile apps and web: A multiple discrete-continuous extreme value approach

Sang Han, Sungho Park, Wonseok Oh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Using a unique panel data set detailing individual-level mobile app consumption, this study develops a utility theory-based structural model for multiple discrete/continuous choices in app use. We identify the dynamics and interdependencies between mobile apps and jointly quantify consumers' app choice and satiation simultaneously. The results suggest that mobile users' baseline utility is the highest for communication apps, while the lowest for personal financing apps. In addition, users' satiation level is the highest for the personal financing apps and the lowest for the game apps. However, a substantial heterogeneity in baseline utility and satiation is observed across diverse users. Furthermore, both positive and negative correlations exist in the baseline utility and satiation levels of mobile web and app categories. Consequently, the proposed frameworks could open new perspectives for handling large-scale, micro-level data, serving as important resources for big data analytics in general and mobile app analytics in particular.

Original languageEnglish (US)
Title of host publication35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014
PublisherAssociation for Information Systems
StatePublished - 2014
Event35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014 - Auckland, New Zealand
Duration: Dec 14 2014Dec 17 2014

Other

Other35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014
CountryNew Zealand
CityAuckland
Period12/14/1412/17/14

Fingerprint

Application programs
Communication

Keywords

  • Econometrics
  • Interdependence
  • Mobile analytics
  • Satiation
  • Time use modeling

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications

Cite this

Han, S., Park, S., & Oh, W. (2014). An empirical analysis of consumption patterns for mobile apps and web: A multiple discrete-continuous extreme value approach. In 35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014 Association for Information Systems.

An empirical analysis of consumption patterns for mobile apps and web : A multiple discrete-continuous extreme value approach. / Han, Sang; Park, Sungho; Oh, Wonseok.

35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014. Association for Information Systems, 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Han, S, Park, S & Oh, W 2014, An empirical analysis of consumption patterns for mobile apps and web: A multiple discrete-continuous extreme value approach. in 35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014. Association for Information Systems, 35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014, Auckland, New Zealand, 12/14/14.
Han S, Park S, Oh W. An empirical analysis of consumption patterns for mobile apps and web: A multiple discrete-continuous extreme value approach. In 35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014. Association for Information Systems. 2014
Han, Sang ; Park, Sungho ; Oh, Wonseok. / An empirical analysis of consumption patterns for mobile apps and web : A multiple discrete-continuous extreme value approach. 35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014. Association for Information Systems, 2014.
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