Knowledge Sharing in Digital Platform Ecosystems – A Textual Analysis of SAP’s Developer Community

Martin Kauschinger (), Maximilian Schreieck (), Markus Boehm () and Helmut Krcmar ()
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Martin Kauschinger: Technical University of Munich
Maximilian Schreieck: Technical University of Munich
Markus Boehm: Technical University of Munich
Helmut Krcmar: Technical University of Munich

A chapter in Innovation Through Information Systems, 2021, pp 21-39 from Springer

Abstract: Abstract Research on digital platform ecosystems is growing rapidly. While the relevance of third-party applications is commonly known, scholars have made only minor attempts to analyze knowledge sharing between platform owners and third-party developers. We find that third-party application development is a knowledge intensive task that requires knowledge to cross organizational boundaries. In this paper, we use computational analytic methods to analyze knowledge sharing in a digital platform ecosystem. We collected trace data about a third-party developer ecosystem with frequent knowledge exchange between the platform owner and third-party developers. We developed a web scraper and retrieved all 4866 pages of SAP’s developer community that were tagged ‘SAP Cloud Platform’. Next, we used text mining to render a topic model. Based on the latent dirichlet allocation algorithm, we extracted 25 topics that were frequently discussed in the community. We clustered the topics into the following six meta-topics: User Accounts and Authentication, Connectivity, Cloud Database, Specific Technologies, SAP Resources, and Installation. Platform owners can use our approach to (1) identify frequently discussed topics, (2) generate meta-knowledge in these topics and (3) use the meta-knowledge to improve their platform core and its boundary resources.

Keywords: Platform ecosystem; Enterprise software; Knowledge sharing; Application development; Text mining (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86797-3_2

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DOI: 10.1007/978-3-030-86797-3_2

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