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

Get Access

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.

References

[1]

Rahmati A., Tossell C., Shepard C., et al. Exploring IphoneUsage: the Influence of Socioeconomic Differences on Smartphone Adoption, Usage and Usability{C}Proceedings of the 14th International Conference on Human-computer Interaction With Mobile Devices and Services. ACM, 2012:11--20.

Digital Library

Google Scholar

[2]

Faqih K. M. S., Jaradat M. R. M., Assessing the Moderating Effect of Gender Differences and Individualism Collectivism at Individual Level on the Adoption of Mobile Commerce Technology: TAM3 Perspective{J}. Retailing and Consumer Services, 2015, 22(1): 37--52.

Crossref

Google Scholar

[3]

Chen Y., Yan X.B, Fan W. G., et al. the Joint Moderating Role of Trust Propensity and Gender on Consumers' Online Shopping Behavior{J}. Computers in Human Behavior, 2015, 43(2): 272--283.

Digital Library

Google Scholar

[4]

Zhou T., An Empirical Examination of Continuance Intention of Mobile Payment Services {J}.Decision Support Systems, 2013, 54(2):1085--1091.

Digital Library

Google Scholar

[5]

Yu P., Jens G.L., An Economic Model and Simulation Results of App Adoption Decisions on Networks with Interdependent Privacy Consequences{C}. Decision and Game Theory for Security Lecture Notes in Computer Science Volume 8840, 2014, 246--265

Google Scholar

[6]

Hao Huang.An Analysis of Trust Change in the Adoption of Mobile Content Services {J}. Management Review, 2014, 26(04):122--129.

Google Scholar

[7]

Yongqing Yang, Jinlong Zhang, Nan Li. An Empirical Study on the Antecedents of Consumers' Perceived Risk of Mobile Value - added Services {J}. Management Review, 2012, 24(03):115--123.

Google Scholar

[8]

Kai Li, Xuli Sun, Jianyuan Yan. An Analysis of Factors Affecting the Use of Willingness of Mobile Payment System: An Empirical Study Based on Exchange Theory {J}. Management Review. 2013, 25(03):91--100

Google Scholar

[9]

Xueyan Song, Research on User Information Adaption Behavior Model and Its Application {D}.Jilin University doctoral thesis, 2010.12

Google Scholar

[10]

Liao. C. C., Palvia P, Chen. J. L., Information Technology Adoption Behavior Life Cycle: Toward a Technology Continuance Theory (TCT) {J}. International Journal of Information Management.2009, 29 (4):309--320.

Digital Library

Google Scholar

Cited By

View all

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

Recommendations

Adoption of third-party libraries in mobile apps: a case study on open-source Android applications
MOBILESoft '22: Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems

Third-party libraries are frequently adopted in open-source Android applications (apps). These libraries are essential to the Android app development ecosystem as they often provide vital functionality that would take significant development time to ...
Privacy concerns for mobile app download

In the mobile age, protecting users' information from privacy-invasive apps becomes increasingly critical. To precaution users against possible privacy risks, a few Android app stores prominently disclose app permission requests on app download pages. ...
Duking it out at the smartphone mobile app mapping API corral: Apple, Google, and the competition
MobiGIS '12: Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems

The recent introduction of the Apple iPhone 5 and the accompanying iOS6 software environment which, among other changes, replaced the use of the Google Maps API in iOS5 by Apple's own Maps API, has led to significant changes in the user experience with ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

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]

In-Cooperation

Wilfrid Laurier University: Wilfrid Laurier University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 August 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICEME 2018

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

August 2 - 4, 2018

ON, Waterloo, Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
92
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 21 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

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

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

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