Leveraging “AI-as-a-Service” – Antecedents and Consequences of Using Artificial Intelligence Boundary Resources

Patryk Zapadka*, Andre Hanelt, Sebastian Firk, Jana Oehmichen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Increased data availability and computing power allows businesses across industries to employ AI technologies in their products and processes. Yet, leveraging AI effectively requires high investments. To reduce these investments, companies can implement AI capabilities directly via boundary resources such as application programming interfaces (APIs). However, research tells us little about antecedents and performance consequences of the use of AI boundary resources. To close this gap, we derive hypotheses from the resource-based view and the relational view of competitive advantages and test these hypotheses on a panel dataset of S&P 500 firms for the years 2010 to 2018. Our results show that firms with high levels of internal AI capabilities are particularly likely to adopt AI boundary resources for process improvements; firms with high external market pressure are positively associated to use AI boundary resources for customer solutions; and the use of AI boundary resources has a positive performance effect.
Original languageEnglish
Title of host publicationICIS Proceedings 2020
PublisherAssociation for Information Systems (AIS)
Publication statusPublished - Dec-2020
EventICIS 2020 - , India
Duration: 13-Dec-202016-Dec-2020


ConferenceICIS 2020


  • artificial intelligence
  • application programming interfaces
  • Boundary resources


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