An Integrated FAHP-FTOPSIS Algorithm for Evaluating Competencies in Traditional and Agile Project Management: A Case Study in the Automotive Industry

In this study, the evaluation and ranking of competencies in traditional and agile project management were examined using a structured Multi-Criteria Decision-Making (MCDM) algorithm. To determine the most important competency group, a direct assessment method by experts was employed. The Analytic Hierarchy Process method extended with triangular fuzzy sets (FAHP) was used to determine the criteria weights applied for ranking the specific competencies within the most important groups. For ranking competencies within these key groups, the Technique for Order Preference by Similarity to Ideal Solution method extended with triangular fuzzy sets (FTOPSIS) was applied. The same algorithmic procedure was carried out for both traditional and agile project management approaches, in a case study conducted across four companies in the automotive industry. The study showed that, in traditional project management, the most important competency group is related to organizational and managerial skills and competencies. On the other hand, in agile project management, the most important competency group refers to contextual skills and competencies. Furthermore, within the traditional approach, the most significant specific competency is project goal orientation, while in the agile approach, the most significant specific competency is customer and stakeholder orientation.

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Publication Details

Journal
Algorithms
Published
2026-02-05
DOI
https://doi.org/10.3390/a19020129
Primary Topic
Competency Development and Evaluation
Type
article
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article

An Integrated FAHP-FTOPSIS Algorithm for Evaluating Competencies in Traditional and Agile Project Management: A Case Study in the Automotive Industry

Marko Djapan, Dragan Marinković, Arso M. Vukićević, Marija Savkovic et al.
Algorithms
Competency Development and Evaluation
article

An Integrated FAHP-FTOPSIS Algorithm for Evaluating Competencies in Traditional and Agile Project Management: A Case Study in the Automotive Industry

Marko Djapan, Dragan Marinković, Arso M. Vukićević, Marija Savkovic, Nikola Komatina
article en

Abstract

In this study, the evaluation and ranking of competencies in traditional and agile project management were examined using a structured Multi-Criteria Decision-Making (MCDM) algorithm. To determine the most important competency group, a direct assessment method by experts was employed. The Analytic Hierarchy Process method extended with triangular fuzzy sets (FAHP) was used to determine the criteria weights applied for ranking the specific competencies within the most important groups. For ranking competencies within these key groups, the Technique for Order Preference by Similarity to Ideal Solution method extended with triangular fuzzy sets (FTOPSIS) was applied. The same algorithmic procedure was carried out for both traditional and agile project management approaches, in a case study conducted across four companies in the automotive industry. The study showed that, in traditional project management, the most important competency group is related to organizational and managerial skills and competencies. On the other hand, in agile project management, the most important competency group refers to contextual skills and competencies. Furthermore, within the traditional approach, the most significant specific competency is project goal orientation, while in the agile approach, the most significant specific competency is customer and stakeholder orientation.

AlgorithmsVol. 19(2)
University of Kragujevac (RS), Vilnius Gediminas Technical University (LT), Korea University (KR), Technische Universität Berlin (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Competency Development and Evaluation
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