Big data analytics capabilities for IFRS 9 success

Connor Stead, Savanid Vatanasakdakul, Chadi Aoun

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

In the aftermath of the global financial crisis, financial reporting standards have proven inadequate in providing sound governance. With financial data being heavily dependent on information systems, a new standard, IFRS 9, is being adopted. IFRS 9 could leverage recent advancements in big data ana-lytics capabilities to improve financial compliance and assurance. While such potential is widely acknowledged, big data analytics capabilities have not yet been adequately identified and validated in the context of financial reporting compliance. In addressing such discrepancy, this study attempts to explore the relationship between a firm’s capability to conduct big data analytics and their perception of IT applications leveraged for compliance with the standard. This study identifies four constituent capabilities and provides empirical validation for their interrelation with a holistic big data analytics construct. It addresses the link between capabilities and perceived IFRS 9 benefits by a range of insti-tutional stakeholders. The findings suggest that analytics governance, analytics personnel capabilities, and Big Data characteristics have a significant influence on big data analytics capabilities. The latter was found to have a significant relationship with perceived benefits of IFRS 9. These findings hold im-portant implications to theory and practice given the impending mass adoption of IFRS 9.
Original languageEnglish
Title of host publicationECIS 2018 proceedings
Subtitle of host publicationTwenty-Sixth European Conference on Information Systems
Place of PublicationAtlanta, United States
PublisherAIS Electronic Library (AISeL)
Pages1-15
Number of pages15
Publication statusPublished - 2018
EventEuropean Conference on Information Systems 2018 - Portsmouth, United Kingdom
Duration: 23 Jun 201828 Jun 2018

Conference

ConferenceEuropean Conference on Information Systems 2018
CountryUnited Kingdom
CityPortsmouth
Period23/06/1828/06/18

Keywords

  • IFRS 9
  • Big Data Analytics Capabilities
  • Structural Equation Modelling
  • Analytics Governance
  • Big Data characteristics

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  • Cite this

    Stead, C., Vatanasakdakul, S., & Aoun, C. (2018). Big data analytics capabilities for IFRS 9 success. In ECIS 2018 proceedings: Twenty-Sixth European Conference on Information Systems (pp. 1-15). [76] Atlanta, United States: AIS Electronic Library (AISeL).