|
|
An empirical investigation on business analytics in software and systems development projects |
|---|---|
| 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: | http://urn.fi/urn:nbn:fi-fe2023081194902 |
| Language: | English |
| Published: |
Springer Nature,
2023
|
| Publish Date: | 2023-08-11 |
| Description: |
AbstractTo 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. see all
|
| 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 |
| OADOI: | https://oadoi.org/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 |
| Subjects: | |
| Funding: |
Open access funding provided by Karlstad University. |
| Copyright information: |
© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
|
https://creativecommons.org/licenses/by/4.0/ |