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Exploring the Relations Between Net Benefits of IT Projects and CIOs’ Perception of Quality of Software Development Disciplines

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  • Damjan Vavpotič

    (University of Ljubljana)

  • Marko Robnik-Šikonja

    (University of Ljubljana)

  • Tomaž Hovelja

    (University of Ljubljana)

Abstract

Software development enterprises are under consistent pressure to improve their management techniques and development processes. These are comprised of several software development methodology (SDM) disciplines such as requirements acquisition, design, coding, testing, etc. that must be continuously improved and individually tailored to suit specific software development projects. The paper proposes a methodology that enables the identification of SDM discipline quality categories and the evaluation of SDM disciplines’ net benefits. It advances the evaluation of software process quality from single quality category evaluation to multiple quality categories evaluation as proposed by the Kano model. An exploratory study was conducted to test the proposed methodology. The exploratory study results show that different types of Kano quality are present in individual SDM disciplines and that applications of individual SDM disciplines vary considerably in their relation to net benefits of IT projects. Consequently, software process quality evaluation models should start evaluating multiple categories of quality instead of just one and should not assume that the application of every individual SDM discipline has the same effect on the enterprise’s net benefits.

Suggested Citation

  • Damjan Vavpotič & Marko Robnik-Šikonja & Tomaž Hovelja, 2020. "Exploring the Relations Between Net Benefits of IT Projects and CIOs’ Perception of Quality of Software Development Disciplines," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 347-360, August.
  • Handle: RePEc:spr:binfse:v:62:y:2020:i:4:d:10.1007_s12599-019-00612-4
    DOI: 10.1007/s12599-019-00612-4
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    References listed on IDEAS

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    1. Andrey Maglyas & Uolevi Nikula & Kari Smolander & Samuel A. Fricker, 2017. "Core software product management activities," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(1), pages 23-45, February.
    2. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    3. Gustaf Neumann & Stefan Sobernig & Michael Aram, 2014. "Evolutionary Business Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 33-38, February.
    4. Adarsh Kumar Kakar, 2017. "Do Reflexive Software Development Teams Perform Better?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(5), pages 347-359, October.
    5. Christoph Schmidt, 2016. "Agile Software Development," Progress in IS, in: Agile Software Development Teams, chapter 0, pages 7-35, Springer.
    6. Neeraj Mittal & Barrie R. Nault, 2009. "Research Note ---Investments in Information Technology: Indirect Effects and Information Technology Intensity," Information Systems Research, INFORMS, vol. 20(1), pages 140-154, March.
    7. Sang-Gun Lee & Chang-Gyu Yang & Sin-Bok Lee & Jae-Beom Lee, 2015. "A study on the antecedents and consequences of satisfaction and dissatisfaction in web portal usage," Service Business, Springer;Pan-Pacific Business Association, vol. 9(3), pages 567-586, September.
    8. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    9. Chen, Li-Fei, 2012. "A novel approach to regression analysis for the classification of quality attributes in the Kano model: an empirical test in the food and beverage industry," Omega, Elsevier, vol. 40(5), pages 651-659.
    10. Chen, Chun-Chih & Chuang, Ming-Chuen, 2008. "Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design," International Journal of Production Economics, Elsevier, vol. 114(2), pages 667-681, August.
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