Modes of engagement in SSBA: A service dominant logic perspective

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


The main premise of self-service business analytics (SSBA) is to make business users autonomous during data analytics. Driven by this potential, organizations are spending resources to design SSBA environmet to empower business employees and decentralize the analytics capabilities. Yet, little is known about how SSBA is facilitating business employees’ independence, and moreover, the value that is co-created. Based on empirical data from a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify three main modes of data engagement in SSBA: no dependency, high dependency, and low dependency. Furthermore, we identify the required business users’ resources in the analytical processes in each mode. We discuss the organizational implications of these findings.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Information Systems


  • Interaction, Resource integration, Self-service business analytics, Service dominant logic
Original languageEnglish
Title of host publicationAMCIS 2019 Proceedings
PublisherAssociation for Information Systems
ISBN (Print)978-0-9966831-8-0
Publication statusPublished - 2019
Publication categoryResearch
Event25th Americas Conference on Information Systems, AMCIS 2019 - Cancun, Mexico
Duration: 2019 Aug 152019 Aug 17


Conference25th Americas Conference on Information Systems, AMCIS 2019