Template-Type: ReDIF-Article 1.0 Author-Name: Siva Kumar Pujari Author-X-Name-First: Siva Kumar Author-X-Name-Last: Pujari Author-Name: Saibal Kumar Saha Author-X-Name-First: Saibal Kumar Author-X-Name-Last: Saha Author-Name: Aromal Sasi Author-X-Name-First: Aromal Author-X-Name-Last: Sasi Title: Adoption barriers of blockchain technology in Indian automotive supply chain: an MCDM approach Abstract: The Indian automobile industry faces intense competition from international firms, making technological upgrades essential. Blockchain, known for powering cryptocurrencies, offers a transparent, immutable, and decentralised database beneficial for supply chains. Despite its potential and widespread use in other sectors, the Indian automobile industry has been slow to adopt it. This paper examines the barriers to blockchain adoption in this sector using Delphi and DEMATEL techniques. The study reveals that trust-building among partners and collaboration challenges due to blockchain's complexity are the primary obstacles hindering adoption. These barriers make it difficult for firms to decide on implementing blockchain technology in their supply chains, with other obstacles being secondary but interconnected. Overcoming these obstacles requires transforming company cultures, establishing efficient governance systems, and ensuring transparent data disclosure. Governments can support this by stimulating innovation through legislation and creating blockchain sandboxes for safe testing, helping to develop standards with organisations like ISO and IEEE. Journal: Int. J. of Multicriteria Decision Making Pages: 103-128 Issue: 2 Volume: 10 Year: 2025 Keywords: DEMATEL; automobile; blockchain; data privacy; organisation culture. File-URL: http://www.inderscience.com/link.php?id=150297 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:10:y:2025:i:2:p:103-128 Template-Type: ReDIF-Article 1.0 Author-Name: Manish Kumar Rajak Author-X-Name-First: Manish Kumar Author-X-Name-Last: Rajak Author-Name: Ariba Fatima Author-X-Name-First: Ariba Author-X-Name-Last: Fatima Author-Name: Somen Dey Author-X-Name-First: Somen Author-X-Name-Last: Dey Title: Analysing the adoption of artificial intelligence in financial services: a DEMATEL approach Abstract: The financial services sector is undergoing a profound transformation driven by the increasing adoption of AI technologies. This study extensively analyses the factors influencing AI adoption in financial services using the decision-making trial and evaluation laboratory (DEMATEL) approach. The approach classifies factors as causes and effects, systematically analysing their interdependencies in complex issues. Through a comprehensive review of the previous literature and expert opinion, data collected from ten experts. The study aims to evaluate the dynamics of causal relationships between the multi-dimensional adoption of AI. The study analyses the nine key factors influencing AI adoption in financial services. Furthermore, the findings emphasise innovation as vital for data management, while regulatory compliance efficiently fosters AI adoption. This study contributes crucial aspects for financial service institutions seeking to make informed decisions, develop effective strategies, and navigate the dynamic landscape of AI integration in the financial services sector. Journal: Int. J. of Multicriteria Decision Making Pages: 129-156 Issue: 2 Volume: 10 Year: 2025 Keywords: adoption; artificial intelligence; AI; financial services; decision-making trial and evaluation laboratory; DEMATEL. File-URL: http://www.inderscience.com/link.php?id=150304 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:10:y:2025:i:2:p:129-156 Template-Type: ReDIF-Article 1.0 Author-Name: Charikleia Karakosta Author-X-Name-First: Charikleia Author-X-Name-Last: Karakosta Author-Name: Sotirios Sotiras Author-X-Name-First: Sotirios Author-X-Name-Last: Sotiras Author-Name: Theodosios Palaskas Author-X-Name-First: Theodosios Author-X-Name-Last: Palaskas Title: Evaluating skills of a fencing coach: an AHP approach Abstract: The role of a fencing coach is complex, requiring a balance of soft skills and technical expertise to meet athletes' evolving needs. Given the demanding nature of competitive fencing, selecting the most suitable coach is critical for optimising performance and fostering physical and mental well-being. This study develops a methodological framework using the analytic hierarchy process (AHP) to evaluate fencing coach selection criteria across an athlete's age categories. By analysing factors prioritised by athletes during different career phases, the framework aids decision-makers in identifying key competencies - such as communication, technical knowledge, and adaptability - that align with developmental stages. Results highlight opportunities to enhance coaching skills and improve team management strategies tailored to athletes' age-specific requirements. The findings offer actionable insights for clubs and institutions to refine coach recruitment, training, and support systems, ensuring coaches effectively nurture athlete potential from youth to elite levels while fostering long-term engagement in the sport. Journal: Int. J. of Multicriteria Decision Making Pages: 157-183 Issue: 2 Volume: 10 Year: 2025 Keywords: effective sports team management; decision making; coach selection; multi-criteria decision making; MCDM; analytic hierarchy process; AHP; fencing. File-URL: http://www.inderscience.com/link.php?id=150305 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:10:y:2025:i:2:p:157-183 Template-Type: ReDIF-Article 1.0 Author-Name: Metecan Çakrak Author-X-Name-First: Metecan Author-X-Name-Last: Çakrak Author-Name: Gültekin Altuntaş Author-X-Name-First: Gültekin Author-X-Name-Last: Altuntaş Title: Measuring the corporate sustainability performance of selected airlines with entropy-based multi-criteria decision-making methods Abstract: The aviation industry's significant environmental impact, in contrast to its global importance, necessitates robust sustainability assessments. However, comparative studies using integrated multi-criteria decision-making (MCDM) frameworks across all three sustainability dimensions are lacking. This study fills that gap by developing a comprehensive evaluation model to rank ten major airlines. Using the entropy method, 22 economic, social, and environmental criteria are weighted. Five MCDM techniques are applied, with their results aggregated using the COPELAND method for a final ranking, which is validated through sensitivity analysis. Key findings identify available seat kilometres, cargo transported and avoided CO<SUB align="right"><SMALL>2</SMALL></SUB> as the most critical success criteria. American Airlines and China Eastern Airlines have emerged as top performers. This integrated framework offers a systematic and replicable tool for benchmarking, facilitating more informed managerial and policy decisions for sustainable aviation. Journal: Int. J. of Multicriteria Decision Making Pages: 184-219 Issue: 2 Volume: 10 Year: 2025 Keywords: sustainability; sustainability reporting; Global Reporting Initiative; GRI; corporate sustainability performance; airlines; logistics; multi-criteria decision making; MCDM; entropy; range of value; RoV; combined compromise solution; CoCoSo; MOOSRA; MARCOS; additive ratio assessment; ARAS; COPELAND; weighted sum. File-URL: http://www.inderscience.com/link.php?id=150306 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:10:y:2025:i:2:p:184-219 Template-Type: ReDIF-Article 1.0 Author-Name: Alexandros Spyropoulos Author-X-Name-First: Alexandros Author-X-Name-Last: Spyropoulos Author-Name: Stelios Rozakis Author-X-Name-First: Stelios Author-X-Name-Last: Rozakis Author-Name: Ioannis Kanakis Author-X-Name-First: Ioannis Author-X-Name-Last: Kanakis Author-Name: Despina Dimelli Author-X-Name-First: Despina Author-X-Name-Last: Dimelli Author-Name: Eleni Androulidaki Author-X-Name-First: Eleni Author-X-Name-Last: Androulidaki Title: Multicriteria evaluation of urban mobility actions in the framework of sustainable urban mobility plans: the case of the Great Walk of Athens Abstract: The European Union has been actively promoting sustainable urban mobility plans (SUMP) for cities to explicit strategies and effective tools toward sustainable mobility. In 2019 with SUMP at its early phases, the Municipality of Athens opted to pre-emptively implement an ambitious urban mobility project, the so-called Great Walk of Athens that despite considerable funding and effort invested was eventually abandoned. Drawing from strategic planning literature, we combine methods to systematically design such project. For this purpose a hybrid SWOT-analytic hierarchy process (AHP) generates strategic objectives then detailed in short- and long-term actions aligned with EU priorities such as active travel promotion, governance strengthening, and digital innovation. The study demonstrates how multi-criteria decision methods can enhance participatory planning, improve transparency in ranking, and support the integration of mobility projects within broader SUMP strategies. While the findings are context-specific, the approach offers transferable insights for cities across Europe facing similar mobility challenges. Journal: Int. J. of Multicriteria Decision Making Pages: 220-249 Issue: 2 Volume: 10 Year: 2025 Keywords: sustainable urban mobility plan; SUMP; SWOT/AHP; Municipality of Athens; Great Walk. File-URL: http://www.inderscience.com/link.php?id=150307 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:10:y:2025:i:2:p:220-249