Forthcoming Articles

International Journal of Multicriteria Decision Making

International Journal of Multicriteria Decision Making (IJMCDM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Multicriteria Decision Making (2 papers in press)

Regular Issues

  • Adoption Barriers of Blockchain Technology in Indian Automotive Supply Chain: an MCDM Approach   Order a copy of this article
    by Siva Kumar Pujari, Saibal Kumar Saha, Aromal S 
    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.
    Keywords: DEMATEL; automobile; blockchain; data privacy; organisation culture.
    DOI: 10.1504/IJMCDM.2024.10068005
     
  • Analysing the Adoption of Artificial Intelligence (AI) in Financial Services: a DEMATEL Approach   Order a copy of this article
    by Manish Rajak, Ariba Fatima, Somen Dey 
    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.
    Keywords: Adoption; Artificial Intelligence; Financial Services; DEMATEL.
    DOI: 10.1504/IJMCDM.2025.10073025
     

 

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