University of Oulu

Ahmad, M.O., Ahmad, I., Rana, N.P. et al. An Empirical Investigation on Business Analytics in Software and Systems Development Projects. Inf Syst Front 25, 917–927 (2023).

An empirical investigation on business analytics in software and systems development projects

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Author: Ahmad, Muhammad Ovais1,2; Ahmad, Iftikhar3; Rana, Nripendra P.4;
Organizations: 1Department of Computer Science, Karlstad University, Karlstad, Sweden
2M3S Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
3Department of Computer Science and Information Technology, University of Engineering and Technology, Peshawar, Pakistan
4College of Business and Economics, Qatar University, P.O. Box 2713, Doha, Qatar
5Industrial Engineering and Management, Faculty of Technology, University of Oulu, P.O. Box 4610, 90014, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link:
Language: English
Published: Springer Nature, 2023
Publish Date: 2023-08-11


To create competitive advantages, companies are leaning towards business analytics (BA) to make data-driven decisions. Nevertheless, users acceptance and effective usage of BA is a key element for its success. Around the globe, organizations are increasingly adopting BA, however, a paucity of research on examining the drivers of BA adoption and its continuance is noticeable in the literature. This is evident in developing countries where a higher number of systems and software development projects are outsourced. This is the first study to examine BA continuance in the context of software and systems development projects from the perspective of Pakistani software professionals. The data was collected from 186 Pakistani software professionals working in software and systems development projects. The data were analyzed using partial least squares — structural equation modelling techniques. Our structural model explains 45% variance on BA continuance intention, 69% variance on technological compatibility, and 59% variance on perceived usefulness. Our results show that confirmation has a direct impact on BA continuance intention in software and systems projects. The study has both theoretical and practical implications for professionals in the field of business analytics.

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Series: Information systems frontiers
ISSN: 1387-3326
ISSN-E: 1572-9419
ISSN-L: 1387-3326
Volume: 25
Issue: 2
Pages: 917 - 927
DOI: 10.1007/s10796-022-10253-w
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
222 Other engineering and technologies
Funding: Open access funding provided by Karlstad University.
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