Non-functional Requirements and Key Propositions Elicitation for an HDSS: A Grounded Theory Approach

Authors

  • Mohammad Tafiqur Rahman Dakota State University
  • Omar El-Gayar Dakota State University

DOI:

https://doi.org/10.59297/tqn3p413

Keywords:

decision-making parameters, humanitarian decision support systems, non-functional requirements, grounded theory approach, key propositions

Abstract

Deciding humanitarian actions during relief distribution is a crucial and challenging task. Humanitarian decision-makers (HDM) make many critical decisions during disaster responses, but they suffer from incomplete, irrelevant, and sometimes excessive humanitarian operations-related disaster data in many situations. Hence, for constructive and meaningful support in decision-making, HDMs often appreciate computer-based information systems (IS) (i.e. humanitarian decision support systems) that require non-functional requirements (NFRs) for their development. To identify those necessary NFRs, we applied the grounded theory approach to analyze 61 literature- and field-based decision-making parameters reported in the primary author's previous research (Rahman and Majchrzak (2020)). Our analysis resulted in 13 essential NFRs and four key propositions to guide relief distribution decision-making in the initial stage and system development in the later stage. HDMs can benefit from such findings for practical decision-making, whereas the system development team can get help to plan and execute the system-building process accordingly.

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Author Biographies

  • Mohammad Tafiqur Rahman, Dakota State University

    Assistant Professor of Information Systems

    College of Business and Information Systems

  • Omar El-Gayar, Dakota State University

    Professor of Information Systems

    College of Business and Information Systems

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Published

2025-05-16

How to Cite

Rahman, M. T., & El-Gayar, O. (2025). Non-functional Requirements and Key Propositions Elicitation for an HDSS: A Grounded Theory Approach. Proceedings of the International ISCRAM Conference. https://doi.org/10.59297/tqn3p413

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