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Ahmad, M.O., Ahmad, I., Khan, I.S. (2021). Business Analytics Continuance in Software Development Projects – A Preliminary Analysis. In: Dennehy, D., Griva, A., Pouloudi, N., Dwivedi, Y.K., Pappas, I., Mäntymäki, M. (eds) Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021. Lecture Notes in Computer Science, vol 12896. Springer, Cham. https://doi.org/10.1007/978-3-030-85447-8_51

Business analytics continuance in software development projects : a preliminary analysis

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Author: Ahmad, Muhammad Ovais1; Ahmad, Iftikhar2; Khan, Iqra Sadaf3
Organizations: 1Department of Mathematics and Computer Science, Karlstad University, Karlstad, Sweden
2Department of Computer Science and Information Technology, University of Engineering and Technology, Peshawar, Pakistan
3Industrial Engineering and Management, Faculty of Technology, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022040126638
Language: English
Published: Springer Nature, 2021
Publish Date: 2022-08-25
Description:

Abstract

This paper investigates factors affecting business analytics (BA) in software and systems development projects. This is the first study to examine business analytics continuance in projects from Pakistani software professional’s perspective. The data was collected from 186 Pakistani software professionals working in software and systems development projects. The data was analyzed using partial least squares structural equation modelling techniques. Our structural model is able to explain 40% variance of BA continuance intention, 62% variance of satisfaction, 69% variance of technological compatibility, and 59% variance of perceived usefulness. Technological compatibility and perceived usefulness are the significant factors that can affect BA continuance intention in software and systems projects. Surprisingly the results show that satisfaction does not affect BA continuance intention.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN: 978-3-030-85447-8
ISBN Print: 978-3-030-85446-1
Volume: 12896
Pages: 622 - 628
DOI: 10.1007/978-3-030-85447-8_51
OADOI: https://oadoi.org/10.1007/978-3-030-85447-8_51
Host publication: IFIP International Federation for Information Processing
Host publication editor: Dennehy, Denis
Griva, Anastasia
Pouloudi, Nancy
Dwivedi, Yogesh K.
Pappas, Ilias
Mäntymäki, Matti
Conference: Conference on e-Business, e-Services and e-Society
Type of Publication: A4 Article in conference proceedings
Field of Science: 222 Other engineering and technologies
Subjects:
Business Analytics
Information Systems
Software Development
Article
Copyright information: © 2021 IFIP International Federation for Information Processing. This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at https://doi.org/10.1007/978-3-030-85447-8_51.