Platform Signaling for Generating Platform Content

Philipp Hukal, Ola Henfridsson, Maha Shaikh, Geoffrey Parker

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The generation of platform content is essential for platform growth and competition. However, the overwhelming number of platform complementors makes it impossible for platform operators to engage in extensive communication with each complementor about which content contributions are desired. Therefore, platform operators need to find a way to signal strategic interests to platform complementors. In this paper, we employ a mixed-methods design using data from the geodata platform OpenStreetMap to develop and test two distinct types of platform signals as a means of implementing a platform operator’s strategy: (1) opportunity signals, which aim to stimulate activity in new areas of the platform, and (2) endorsement signals, which aim to increase activity in existing areas of the platform. In particular, we examine how platform signals influence the generation of platform content in terms of the volume and diversity of information on the platform. We contribute important insights to the platform governance literature by developing and empirically testing a signaling perspective on the generation of platform content and discussing its implications for guiding platform complementors in content creation.
Original languageEnglish
JournalMIS Quarterly
Volume44
Issue number3
Pages (from-to)1177-1205
Number of pages29
ISSN0276-7783
DOIs
Publication statusPublished - Sep 2020

Keywords

  • Platform governance
  • Content generation
  • Complementors
  • Mixed methods
  • OpenStreetMap

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