Criteria definition for digital requirements using hesitant fuzzy linguistic terms sets: an application to the automotive industry

Pietro Fronte (), Núria Agell (), Marc Torrens () and Diana Mesa ()
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Pietro Fronte: ESADE Business School - Ramon Llull University
Núria Agell: ESADE Business School - Ramon Llull University
Marc Torrens: ESADE Business School - Ramon Llull University
Diana Mesa: CUPRA

Annals of Operations Research, 2025, vol. 353, issue 1, No 8, 147-169

Abstract: Abstract Managing a portfolio of digital products is challenging, particularly in a context of limited economic resources and workforce. Therefore, prioritization of activities and new developments is crucial. In Software Development environment, almost all well-known prioritization techniques are based on experts’ knowledge and opinion, leaving little room for a data-driven, objective approach. In this paper, we propose a methodology that adopts the Delphi framework and Hesitant Fuzzy Linguistic Term Sets for collecting experts’ opinions, evaluating perceived importance, and computing group consensus. The objective is to provide a framework to define a group-consensual set of relevant criteria that would represent the basis for a data-driven prioritization process for digital requirements. Implementation and results from a real case application in a European automotive company are presented to understand the relevance of criteria and suggest their inclusion or exclusion for prioritization purposes.

Keywords: Business value; Prioritization; Hesitant fuzzy linguistic term sets; Automotive; Consensus measure (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-024-06449-9

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