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1.	Ahmad, Muhammad Ovais, Associate Professor/Lektor (author) Business Analytics Continuance in Software Development Projects : A Preliminary Analysis 2021 In: Conference on e-Business, e-Services and e-Society. - Cham : Springer. - 9783030854461 ; , s. 622-628 Conference paper (peer-reviewed)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.

Ahmad, Muhammad Ovais, Associate Professor/Lektor (author)
Business Analytics Continuance in Software Development Projects : A Preliminary Analysis
2021
In: Conference on e-Business, e-Services and e-Society. - Cham : Springer. - 9783030854461 ; , s. 622-628
Conference paper (peer-reviewed)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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