Exploring Data Analytics Capability Building: An IS Success and Resource-Based View

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Abstract

Business organizations are increasing their investments in resources related to data analytics. However, these investments would not be transferred to business value unless business organizations use these resources efficiently for value creation. Prior literature has suggested that data analytics capabilities (DAC) are critical in generating value from data and data analytics for business organizations. However, prior research has primarily centered on examining the role of resources in data and data-related technologies and ignored the importance of data services and the quality of data-related resources in building DAC and in generating value. Thus, this study develops a data analytics capability building model based on the resource-based view and the information systems success model to explain how data quality, data system quality, and data service quality in business organizations may help build DAC, which could enhance business organizations’ business performance.
Original languageEnglish
Title of host publicationProceedings of the 30th European Conference on Information Systems (ECIS 2022). Research-in-Progress Papers
Subtitle of host publicationNew Horizons in Digitally United Societies
Place of PublicationTimisoara, Romania
PublisherAssociation for Information Systems
Publication statusPublished - 2022
Publication typeA4 Article in conference proceedings
EventEuropean Conference on Information Systems - Timisoara
Duration: 18 Jun 202224 Jun 2022

Publication series

NameEuropean Conference on Information Systems
ISSN (Print)2184-1934

Conference

ConferenceEuropean Conference on Information Systems
Period18/06/2224/06/22

Keywords

  • Data Analytics Capabilities
  • IS Success Model
  • resources
  • business performance

Publication forum classification

  • Publication forum level 1

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