Third-party mobile app developers' continued participation in platform-centric ecosystems: An empirical investigation of two different mechanisms

Hyung Jin Kim, Inchan Kim, Hogeun Lee

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


Platform-centric ecosystems run by Apple, Google, Microsoft, etc. enable the companies to magnify the values of their products and services on an unprecedented scale, by harnessing third-party add-on software such as mobile apps. Despite the importance, however, there is a dearth of empirical research that investigates how third-party developers' continued participation is actually determined. This paper examined two different mechanisms increasing dedication to a platform and constraining exit from the platform, respectively. Specific factors in each mechanism and their casual relationships were tested and discussed in the context of Apple's mobile platform.

Original languageEnglish
Pages (from-to)44-59
Number of pages16
JournalInternational Journal of Information Management
Issue number1
Publication statusPublished - 2016 Feb 1

Bibliographical note

Funding Information:
Inchan Kim is a visiting assistant professor of MIS at Utah State University. He earned his Ph.D. in MIS from the University of Oklahoma and an M.S. in Business Administration from Yonsei University. His research primarily examines macro-level IT phenomena through cognitive theoretical lenses—namely, schemas, frames, organizing visions, and institutional logics—using diverse analytical techniques such as content analysis, text mining, data visualization, panel regression, and vector autoregression. Inchan’s specific research interests lie in how social media and big data impact society and organizations and how IT innovations are diffused, implemented, and assimilated. Inchan’s work has appeared in MIS Quarterly and at diverse international conferences, including International Conference on Information Systems (ICIS) and Academy of Management Meeting (AoM). He is a participant of the 2013 ICIS Doctoral Consortium and is a recipient of two research grants from the Energy Institute at the University of Oklahoma.

Publisher Copyright:
© 2015 Elsevier Ltd. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Marketing
  • Information Systems and Management
  • Library and Information Sciences
  • Artificial Intelligence


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