Content Spending and Network Quality in Mobile Channels: A Hidden Markov Model of User Engagement and Content Consumption

Xia Zhao, Lu Huang, Lei Wang, Elham Yazdani, Cheng Zhang

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

1 Scopus citations

Abstract

Nowadays, individuals increasingly depend on mobile devices and apps for every aspect of their daily lives. Even though the number of mobile users and the time that they spend on mobile apps have grown tremendously, app providers are still struggling with low user engagement and a high attrition rate. This study examines how users' prior content spending and network delay impact consumers' mobile content consumption decisions and how the impacts vary in different engagement states. We develop a Hidden Markov Model and calibrate it using a large tapstream data set of individual users' reading activities from a mobile app provider. We identify three engagement states and heterogeneous impacts of the financial and operational factors. This study will generate important implications on content pricing and user engagement in mobile channels.

Original languageEnglish (US)
Title of host publicationProceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages6483-6491
Number of pages9
ISBN (Electronic)9780998133157
StatePublished - 2022
Event55th Annual Hawaii International Conference on System Sciences, HICSS 2022 - Virtual, Online, United States
Duration: Jan 3 2022Jan 7 2022

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2022-January
ISSN (Print)1530-1605

Conference

Conference55th Annual Hawaii International Conference on System Sciences, HICSS 2022
Country/TerritoryUnited States
CityVirtual, Online
Period1/3/221/7/22

All Science Journal Classification (ASJC) codes

  • General Engineering

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