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A User-Driven Self-service Business Intelligence Adoption Framework

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HCI International 2022 Posters (HCII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1582))

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Abstract

Cost management and operational efficiencies play a critical part in both the financial institution’s ability to grow as well as their overall profit margins. For a financial institution to stay competitive in this era of fast-paced decision making, driven not only by local competition but by competitors at a global scale requires the ability to make rapid and accurate decisions based on all the available data. This can only be achieved through the effective use and adoption of BI and SSBI across all areas of the business. Through a thorough systematic literature review (SLR), this paper evaluated various adoption frameworks that have been used in past research relating to BI and SSBI. The synthesis process focused primarily on academic publications drawn via accepted databases and literature search engines for the period of 2000 to 2021. BI and SSBI were found to be primarily examined from an organisational stance while adoption from the humanistic stance of individuals was missing within the literature. Therefore, the Model of PC Utilisation (MPCU) has subsequently been proposed as a potential framework to examine the adoption of SSBI from a humanistic stance within a financial institution.

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Authors and Affiliations

  1. University of Cape Town, Western Cape, Cape Town, South Africa

    Sean de Waal & Adheesh Budree

Authors
  1. Sean de Waal
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  2. Adheesh Budree
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Correspondence to Sean de Waal .

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Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

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de Waal, S., Budree, A. (2022). A User-Driven Self-service Business Intelligence Adoption Framework. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1582. Springer, Cham. https://doi.org/10.1007/978-3-031-06391-6_47

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  • DOI: https://doi.org/10.1007/978-3-031-06391-6_47

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  • Online ISBN: 978-3-031-06391-6

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