Forthcoming and Online First Articles

International Journal of Business Performance and Supply Chain Modelling

International Journal of Business Performance and Supply Chain Modelling (IJBPSCM)

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 Articles will not be published until the final proofs are validated by their authors.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 Business Performance and Supply Chain Modelling (4 papers in press)

Regular Issues

  • Essence and structure of Value Creation Management System   Order a copy of this article
    by Alexey P. Tyapukhin, Olga Zueva 
    Abstract: Research purpose is to create prerequisites for clarifying and supplementing the theory and methodology of designing and forming Value Creation Systems and Value Creation Management Systems that ensure effective fulfilment of orders of end consumers of products and/or services. The article presents the results that have signs of scientific novelty: the classification of tools of enterprise (chain) management system developed; the sequence of object management in the creation of values for the end consumer proposed; the structure of chains and concepts of value creation management have been clarified; the relationship between the goals of consumer and supplier (value creation channel) determined; the classification of management system functions developed; the approach to designing and forming of Value Creation Management System substantiated.
    Keywords: value; value creation system; value creation management system; goal; objective; principle; approach; method; function.
    DOI: 10.1504/IJBPSCM.2025.10069154
     
  • Exploring Digital Supply Chain Barriers_ Case Study in Automotive Industry   Order a copy of this article
    by Oumaima Hansali, Samah El Rhanimi, Laila Elabbadi 
    Abstract: Businesses across diverse industries are grappling with the intricacies of an ever-expanding digital economy. Although many investments are directed towards enhancing internal organizational processes, focusing on the supply chain perspective can yield even more significant improvements in business performance. The objective of this study is to conduct a comprehensive examination of the barriers hindering the adoption of digital supply chain in the automotive industry. To analyse these barriers, an integrated approach utilizing the Best-Worst method (BWM) was employed. By reviewing relevant literature and experts feedback, a total of 26 barriers to the adoption of digitalization in the automotive supply chain were identified. Subsequently, the BWM was used to determine the relative importance of each barrier. The proposed framework has significant potential to help business managers identify and address the key obstacles that must be overcome for for the successful digitalization of the automotive supply chain.
    Keywords: Supply Chain Management; Digitisation tools; Digital supply chain; Best Worst Method.
    DOI: 10.1504/IJBPSCM.2025.10070175
     
  • The Factors Influencing the Acceptance of Drones as Delivery Option for Young Consumers   Order a copy of this article
    by Vaibhav Misra, Smriti Shukla 
    Abstract: This study aimed to examine the influence of predictors of drone delivery on young consumers intention to adopt drones as a medium of delivery in the Indian context. The theoretical framework was developed using a combination of diffusion of innovation theory and perceived risk theory. 230 respondents aged 1834 years were considered usable for this study. Principal component analysis and multiple regression analyses were used for the analysis. The results showed that relative speed advantage (RSA), performance risk, and delivery risk positively influence the intention to adopt drone delivery, whereas green image negatively influences drone delivery adoption. The limitations of this study are discussed. The present study is one of the first attempts to understand the factors influencing the acceptance of drone delivery in India, which will help to understand the importance of environment-friendly deliveries.
    Keywords: Diffusion of innovation; drone delivery; perceived risk; privacy; performance risk; delivery risk; innovativeness; speedy delivery; environment friendliness.
    DOI: 10.1504/IJBPSCM.2025.10070266
     
  • Solving Supplier Selection Problem in a Textile Industry using an Integrated Grey-MABAC Method   Order a copy of this article
    by Santonab Chakraborty, Rakesh Raut, Rofin T. M, Shankar Chakraborty 
    Abstract: Like other industries, selection of suppliers in a textile mill also plays a decisive role by providing right quality of raw materials/components/ dyes and chemicals in right quantities at right time and affordable cost, thereby establishing an effective supply chain. Acknowledging supplier selection/evaluation as a multi-criteria decision-making (MCDM) problem, various mathematical tools have been proposed to resolve the issue. In this paper, a grey-based MCDM approach, i.e. grey-multi-attributive border approximation area comparison (G-MABAC) method is proposed for solving a textile supplier selection problem, expressing relative importance of the decision makers, criteria and alternatives using grey numbers. Based on the performance scores, G-MABAC partitions six alternative suppliers into upper approximation (reliable) and lower approximation (unreliable) areas, identifying the relative strengths and weaknesses of each of them. It would act as an intelligent decision support framework in effectively adopting multi-sourcing strategy for enhanced resilience with minimum disruption in the textile supply chain.
    Keywords: Supplier selection; Textile industry; Grey number; MABAC; Ranking.
    DOI: 10.1504/IJBPSCM.2025.10070746
     

 

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