Lead users' innovative work behavior in digital platform ecosystems: A large scale study of app developers

  • Mario Schaarschmidt
  • , Klaas Jan Stol
  • , Gianfranco Walsh
  • , Matthias Bertram

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Application developers constitute an important part of a digital platform's ecosystem. Knowledge about psychological processes that drive developer behavior in platform ecosystems is scarce. We build on the lead userness construct which comprises two dimensions, trend leadership and high expected benefits from a solution, to explain how developers' innovative work behavior (IWB) is stimulated. We employ an efficiency-oriented and a social-political perspective to investigate the relationship between lead userness and IWB. The efficiency-oriented view resonates well with the expected benefit dimension of lead userness, while the social-political view might be interpreted as a reflection of trend leadership. Using structural equation modeling, we test our model with a sample of over 400 developers from three platform ecosystems. We find that lead userness is indirectly associated with IWB and the performance-enhancing view to be the stronger predictor of IWB. Finally, we unravel differences between paid and unpaid app developers in platform ecosystems.

Original languageEnglish
Title of host publication40th International Conference on Information Systems, ICIS 2019
PublisherAssociation for Information Systems
ISBN (Electronic)9780996683197
Publication statusPublished - 2019
Event40th International Conference on Information Systems, ICIS 2019 - Munich, Germany
Duration: 15 Dec 201918 Dec 2019

Publication series

Name40th International Conference on Information Systems, ICIS 2019

Conference

Conference40th International Conference on Information Systems, ICIS 2019
Country/TerritoryGermany
CityMunich
Period15/12/1918/12/19

Keywords

  • Digital platform ecosystem
  • Innovative work behavior
  • Lead userness
  • Structural equation modeling

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