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1.
Selection procedure of the approximation methods for deriving priorities : a case of inconsistent pairwise comparisons
Vesna Čančer, 2024, original scientific article

Abstract: Background:When pairwise comparisons are used to express preferences foralternatives or judgments on criteria's importance, several methods can be used to derive priorities in multi-criteria decision-making. In the case of inconsistency, different methods give different results. Objectives:The main goal of this paper is to present the procedure of measuring the accuracy of the selected approximation methods based on pairwise comparisons compared to the priorities obtained by the eigenvalue method. It also aims toillustrate the procedure onthe numerical example characterisedby acceptable inconsistency.Methods/Approach:The presented procedure is based on a prescriptive approach, the fixed ratio scale, reciprocal pairwise comparison matrices,and consistency ratio.Mean absolute deviation and mean absolute percentage deviation are used to measureaccuracy.Results:The first result is the theoretical statement of the priorities’ accuracy measurement procedure. The results of the numerical example characterisedbythe preferencesof strength slight to strong plus show that,on average, the most accurate approximation method is the geometric mean method. Conclusions:The research contributes to the literatureonprescriptive approaches to decision-making. The results can show potential users which approximation method to use and lecturers which of them to include in the curriculum portfolio.
Keywords: accuracy, analytic hierarchy process, approximation method, pairwise comparisons, priority, simulation
Published in DKUM: 09.05.2025; Views: 0; Downloads: 9
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2.
Integrating participatory approaches and fuzzy analytic hierarchy process (FAHP) for barrier analysis and ranking in urban mobility planning
Uroš Kramar, Marjan Sternad, 2025, original scientific article

Abstract: This study examines the barriers to implementing sustainable mobility strategies in small municipalities by integrating participatory and multi-criteria decision-making methods. A triangulated approach combines the nominal group technique (NGT), focus groups (FGs), and the fuzzy analytic hierarchy process (FAHP) to systematically identify, refine, and rank key barriers. The NGT enables stakeholders to list and prioritize barriers individually, ensuring balanced participation. FG discussions then refine and contextualize these barriers, addressing qualitative depth. Finally, the FAHP quantitatively ranks the barriers while accounting for uncertainty in stakeholder judgments. The results highlight systemic constraints, such as financial limitations and regulatory inefficiencies, alongside local challenges like inadequate infrastructure and public resistance. Integrating the NGT, FGs, and the FAHP enhances the analytical rigor by merging structured decision-making with participatory engagement. This methodological innovation strengthens the reliability of barrier assessment and offers a replicable framework for urban mobility planning. The findings underscore the need for locally tailored strategies that balance stakeholder inclusion with structured prioritization, contributing to improved governance in sustainable transport planning.
Keywords: sustainable mobility planning, urban mobility, participatory governance, fuzzy analytic hierarchy process, local governance, barriers to implementation, FAHP
Published in DKUM: 26.03.2025; Views: 0; Downloads: 4
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3.
Evaluation of key performance indicators of logistics firms
Nazlıcan Gözaçan, Çisem Lafci, 2020, original scientific article

Abstract: Key Performance Indicators (KPI) has been outlined for implementing total quality management (TQM) across logistics sector. This study constituted on the quality values of logistics firms in the logistics sector, which is examined with key performance indicators through the integrated method of Analytic Hierarchy Process (AHP) and SMART Goal Setting. The calculations were performed for logistics firms. The method used in this study is the integrated method of the AHP Method and SMART Goal Setting. The results highlight the most mentioned key performance indicators in the literature in a prioritized version also during the prioritizing process via AHP Method, the SMART Goal Setting approach also is applied.
Keywords: analytic hierarchy process (AHP), key performance indicators (KPI), SMART goal setting, total quality management
Published in DKUM: 22.08.2024; Views: 77; Downloads: 9
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4.
Outsource or not? : An AHP based decision model for information security management
Luka Jelovčan, Anže Mihelič, Kaja Prislan Mihelič, 2022, original scientific article

Abstract: Purpose: Outsourcing information security has proven to be an efficient solution for information security management; however, it may not be the most suitable approach for every organization. This research aimed to develop a multi-criteria decision-making model that would enable organizations to determine which approach to information security management (outsourcing or internal management) is more suitable for their needs and capabilities. Methods: Our study utilized several different research methods. First, the decision criteria were identified by reviewing related work and then selected by information security experts in a focus group. Second, a survey was conducted among information security practitioners to assign the criteria weights. Third, four use cases were conducted with four real-world organizations to assess the usability, ease of use, and usefulness of the developed model. Results: We developed a ten-criteria model based on the analytic hierarchy process. The survey results promote performance-related criteria as more important than efficiency-focused criteria. Evidence from use cases proves that the decision model is useful and appropriate for various organizations. Conclusion: To make informed decisions on approaching information security management, organizations must first conduct a thorough analysis of their capabilities and needs and investigate potential external contractors. In such a case, the proposed model can serve as a useful support tool in the decision-making process to obtain clear recommendations tailored to factual circumstances.
Keywords: information security, decision model, analytic hierarchy process, AHP, management, outsourcing
Published in DKUM: 24.06.2024; Views: 141; Downloads: 29
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5.
Applying integrated data envelopment analysis and analytic hierarchy process to measuring the efficiency of tourist farms : The Case of Slovenia
Boris Prevolšek, Maja Borlinič Gačnik, Črtomir Rozman, 2023, original scientific article

Abstract: This paper examines the efficiency of tourist farms in Slovenia by adopting an approach using a framework of non-parametric programming—Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP), combining the two because the DEA analysis by itself does not take into account all attributes, especially qualitative ones. The beforementioned two methods rank the farm tourism units with respect to their efficiency. By using the DEA method, an input- and output-oriented BCC and CCR model were introduced to upgrade the criteria by including the additional non-numerical criteria of the AHP. The results of the models showed that there are possible improvements on all levels of efficiency, as well as on the criteria of the additional offer of tourist farms, which were analyzed in the AHP model with additional criteria. According to the estimated efficiency, the ranking of tourist farms differed according to the two methods. Within the group of farms assessed as efficient by DEA, the AHP model allowed a more accurate ranking.
Keywords: farm tourism, tourist farms, efficiency, data envelopment analysis (DEA), analytic hierarchy process (AHP), Slovenia
Published in DKUM: 09.04.2024; Views: 281; Downloads: 24
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6.
Performance indicators of management buyouts using the analytic hierarchy process method
Petra Grah, Vesna Čančer, Borut Bratina, 2018, original scientific article

Abstract: Background and Purpose: In Slovenia, few management buyout (MBO) studies have been carried out. The focus was mostly on the motives for acquisition of companies and the success rate of the acquisitions. This paper aims to analyse the indicators which suggest an impending bankruptcy or financial restructuring of companies and explore how these indicators are different for successful and unsuccessful MBOs. Methodology: In the survey, we included 23 selected MBOs in Slovenia between 2005 and 2008, using the following financial and non-financial indicators: profitability, performance, solvency and liquidity, using the analytic hierarchy process method. The key aim of the survey was to use financial and non-financial indicators to study if target companies where bankruptcy or financial restructuring has not yet been initiated prevalently have higher aggregate values compared to those in which bankruptcy or financial restructuring procedures have already begun. Thus, we used the selected indicators to demonstrate one of the possible methods to predict the success of a particular MBO. Results: We found that in most examples of unsuccessful MBOs, target companies have poorer results in terms of performance, solvency and liquidity, when compared to successful MBOs. Based on the selected areas, we divided the results into four quarters. We found that most target companies where MBOs had been unsuccessful are ranked in a lower quarter than most of the target companies where the MBOs had been successful. Conclusion: The papers main contribution is the finding that the selected financial and non-financial indicators differ in cases of successful and unsuccessful MBOs. This knowledge helps us to find ways of avoiding these situations in the future.
Keywords: management buy-outs, management, bankruptcy models, financial and non-financial indicators, the analytic hierarchy process
Published in DKUM: 10.10.2018; Views: 1529; Downloads: 482
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