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Critical Value Factors in Business Intelligence Systems Implementations

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Analytics and Data Science

Part of the book series: Annals of Information Systems ((AOIS))

Abstract

Business Intelligence (BI) systems have been rated as a leading technology for the last several years. However, organizations have struggled to ensure that high quality information is provided to and from BI systems. This suggests that organizations have recognized the value of information and the potential opportunities available but are challenged by the lack of success in Business Intelligence Systems Implementation (BISI). Therefore, our research addresses the preponderance of failed BI system projects, promulgated by a lack of attention to Systems Quality (SQ) and Information Quality (IQ) in BISI. The main purpose of this study is to determine how an organization may gain benefits by uncovering the antecedents and critical value factors (CVFs) of SQ and IQ necessary to derive greater BISI success. We approached these issues through adopting ‘critical value factors’ (CVF) as a conceptual ‘lens’. Following an initial pilot study, we undertook an empirical analysis of 1300 survey invitations to BI analysts. We used exploratory factor analysis (EFA) techniques to uncover the CVFs of SQ and IQ of BISI. Our study demonstrates that there is a significant effect in the relationships of perceived IQ of BISI to perceived user information satisfaction thereby confirming the importance BI system users place on information and the output produced. Our study also reported that there is a significant effect in the relationships of perceived IQ of BISI to perceived user system satisfaction thereby confirming the importance BI system users place on system output. We believe our research will be of benefit to both academics and practitioners in attempting to ensure BI systems implementation success.

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Author information

Authors and Affiliations

  1. College of Engineering and Computing, Nova Southeastern University, Fort Lauderdale, FL, USA

    Paul P. Dooley, Yair Levy & James L. Parrish

  2. 330 East 39th St. #27M, New York, NY, 10016, USA

    Paul P. Dooley

  3. College of Business, Arts and Social Sciences, Business School, Brunel University London, Kingston Lane, Uxbridge, London, UB8 3PH, UK

    Yair Levy & Raymond A. Hackney

  4. Department of Information Systems and Cybersecurity, College of Engineering and Computing, 3301 College Avenue, Fort Lauderdale, FL, 33314, USA

    James L. Parrish

Authors
  1. Paul P. Dooley
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  2. Yair Levy
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  3. Raymond A. Hackney
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  4. James L. Parrish
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Corresponding author

Correspondence to Paul P. Dooley .

Editor information

Editors and Affiliations

  1. Robert J. Manning School of Business, University of Massachusetts Lowell, Lowell, Massachusetts, USA

    Amit V. Deokar

  2. Raymond J. Harbert College of Business, Auburn University, Auburn, Alabama, USA

    Ashish Gupta

  3. Walker College of Business, Appalachian State University, Boone, North Carolina, USA

    Lakshmi S. Iyer

  4. College of Business, University of North Texas, Denton, Texas, USA

    Mary C. Jones

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Dooley, P.P., Levy, Y., Hackney, R.A., Parrish, J.L. (2018). Critical Value Factors in Business Intelligence Systems Implementations. In: Deokar, A., Gupta, A., Iyer, L., Jones, M. (eds) Analytics and Data Science. Annals of Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-58097-5_6

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