research-article

A Research of Adoption Process of Mobile APP Based on Massive Log Data

Authors:

Chong Zhang,

Min ChuAuthors Info & Claims

ICEME '18: Proceedings of the 2018 9th International Conference on E-business, Management and Economics

Pages 60 - 64

https://doi.org/10.1145/3271972.3271975

Published: 02 August 2018 Publication History

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Abstract

The rapid development of Mobile APP market has attracted many developers to pursuit wealth and to bring a large amount of supply, but the scarcity of user attention and the limited resources of mobile phones allow users to access and use only a small number of APPs. This paper describes the whole process adopted by mobile APP users qualitatively and quantitatively and explores the characteristics of user behavior in the adoption process: First of all, build APP's "User Adoption Process Concept Model" through deep researches of 76 users and condense the adoption process of APP users into four stages, three decisions and three losses; Secondly, by analyzing and mining about 20 million mobile APP user behavior log data, reveal the basic distribution characteristics of mobile APP users' life cycle, determine the period and critical time nodes in different stages of the adoption process and analyze the user churn rate and characteristics of two phases of adoption process.

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Bemmann FMayer S(2024)The Impact of Data Privacy on Users' Smartphone App Adoption DecisionsProceedings of the ACM on Human-Computer Interaction10.1145/36765258:MHCI(1-23)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676525
Van Schalkwyk AGrobbelaar SVermeulen EHerselman M(2022)A Scoping Review of the Use of Log Data for Evaluating Mobile Apps: Exploring Implications for mHealth AppsIEEE Access10.1109/ACCESS.2022.322403810(124805-124820)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3224038

Index Terms

A Research of Adoption Process of Mobile APP Based on Massive Log Data
1. Information systems
  1. World Wide Web
    1. Web mining
      1. Web log analysis

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Published In

ICEME '18: Proceedings of the 2018 9th International Conference on E-business, Management and Economics

August 2018

169 pages

ISBN:9781450365147

DOI:10.1145/3271972

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Wilfrid Laurier University: Wilfrid Laurier University

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Association for Computing Machinery

New York, NY, United States

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Published: 02 August 2018

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ICEME 2018

ICEME 2018: 2018 9th International Conference on E-business, Management and Economics

August 2 - 4, 2018

ON, Waterloo, Canada

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Bemmann FMayer S(2024)The Impact of Data Privacy on Users' Smartphone App Adoption DecisionsProceedings of the ACM on Human-Computer Interaction10.1145/36765258:MHCI(1-23)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676525
Van Schalkwyk AGrobbelaar SVermeulen EHerselman M(2022)A Scoping Review of the Use of Log Data for Evaluating Mobile Apps: Exploring Implications for mHealth AppsIEEE Access10.1109/ACCESS.2022.322403810(124805-124820)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3224038

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Recommendations

Adoption of third-party libraries in mobile apps: a case study on open-source Android applications

Privacy concerns for mobile app download

Duking it out at the smartphone mobile app mapping API corral: Apple, Google, and the competition