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An empirical study for finding factors that would optimise productivity and quality in IT business

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  • Sanjay Mohapatra

Abstract

This research identifies parameters that would have combined effect on productivity and quality. There have been several studies on finding factors for productivity. But factors that would affect quality of deliverables and productivity need to be studied as we cannot ignore quality while increasing productivity. For the research, primary data from 136 software projects were analysed and multiple regression as a method with due diligence was applied to analyse the relationships. It was found that level of application complexity, experience in technology, training, level of client support, availability of testing tools and quality of document management system significantly affect productivity while only experience in domain and availability of testing tools significantly affect defect density (quality measure) in software development projects.

Suggested Citation

  • Sanjay Mohapatra, 2017. "An empirical study for finding factors that would optimise productivity and quality in IT business," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 20(2), pages 169-196.
    • Handle: RePEc:ids:ijpqma:v:20:y:2017:i:2:p:169-196
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    Cited by:

    1. Sanjay Mohapatra, 2021. "Human and computer interaction in information system design for managing business," Information Systems and e-Business Management, Springer, vol. 19(1), pages 1-11, March.
    2. Wei Liu & Yoshihisa Suzuki & Shuyi Du, 2024. "Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 2035-2068, May.

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