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Analyzing the quantitative impact of hybrid work model on critical success factors in scrum-based agile software

Author

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  • Geetanjali Chakravorty

    (National Institute of Technology)

  • B. Ramachandra Reddy

    (National Institute of Technology)

  • Danish Ali Khan

    (National Institute of Technology)

Abstract

Agile software development is an emerging approach in the software industry which promotes adoption of different methodologies like scrum, lean, kanban, DSDM etc., which has increased the success of agile project delivery. The success of any software development project depends upon various influencing critical factors, which impact the efficiency of the software in overcoming failures. The notion of critical success factor (CSFs) has been impacted due to implementation of remote working and adoption of hybrid model. The paper advance the state-of-the-art research in this area by crafting a new hypothetical success factor framework and conducted the survey. The paper has performed descriptive statistics, null hypothesis t-test, co-relation analysis on the survey result set and found that all of the considered factors are important and play a significant role in the success of any project. Also, the study concludes the evolution of a new set of CSFs due to remote working and adoption of hybrid model, which were not considered earlier.

Suggested Citation

  • Geetanjali Chakravorty & B. Ramachandra Reddy & Danish Ali Khan, 2024. "Analyzing the quantitative impact of hybrid work model on critical success factors in scrum-based agile software," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(11), pages 5343-5355, November.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:11:d:10.1007_s13198-024-02539-w
    DOI: 10.1007/s13198-024-02539-w
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    References listed on IDEAS

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    1. Diane E. Strode, 2016. "A dependency taxonomy for agile software development projects," Information Systems Frontiers, Springer, vol. 18(1), pages 23-46, February.
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