International Journal of Business Performance and Supply Chain Modelling (7 papers in press)

Regular Issues

• Essence and structure of Value Creation Management System  
  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  
  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  
  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  
  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
   
  
• Orientation-Performance Modelling for Supply Chain Organisations' Ecosystem  
  by Raja Roy, Soma Roychowdhury 
  Abstract: The supply chain issues, and their attributes are derived from the supply chain organization (SCO) ecosystem. The SCO's strategic and operational issue attributes from the WRRD (weakness-rationality limits-risk-dissatisfaction) model influence the firm's performance, evaluated using PCFA and SEM methods using SCO's orientation-performance modelling. A study of 218 micro and small manufacturing enterprises in Eastern India shows that SCO's orientation-performance model suggests a good fit. Results suggest these industries prioritize rationality over risk issues proactively and use reactive enablers to address dissatisfaction more than weakness issues. Besides strategic-operational, proactive-reactive orientations, risk issues also directly influence the firm's performance, limiting proactive enablers' effectiveness in mitigating risk.
  Keywords: Operational orientation; performance modelling; proactive approach; reactive approach; strategic orientation; supply chain management.
  DOI: 10.1504/IJBPSCM.2025.10070881
   
  
• A Systematic Literature Review on the Management of Small Agroindustrial Producers using Artificial Intelligence  
  by Jairo Fuentes, Jose Aguilar 
  Abstract: Small agro-industrial producers play a vital role in a countrys economic and social advancement. Artificial intelligence (AI) builds knowledge models that allow agro-industrial producers to make decisions about production chains to achieve high levels of performance and competitiveness. The objective of this work is to perform a systematic literature review on the use of AI for the management of small agro-industrial productions. Seven scientific digital libraries and a search methodology based on research questions, inclusion, and exclusion criteria, among other aspects, were used to investigate the use of AI for the management of small agribusinesses. An analysis of 62 articles was performed to assess the strengths and limitations of using AI in Small Agribusiness Production Management, as well as to identify the primary challenges and opportunities. Among the limitations found are the low investment in new technologies, and the rejection of changes and innovative business models.
  Keywords: Artificial Intelligence; Agribusiness; Small Agribusiness Production Management; systematic literature review.
  DOI: 10.1504/IJBPSCM.2025.10071147
   
  
• Ranking the Solutions to Mitigate Sustainable Innovation Implementation Barriers using a BWM-COPRAS Approach  
  by Pankaj Shete, Zulfiquar Ansari, Ravi Kant 
  Abstract: This study aims to prioritize the solutions for effectively minimising the barriers to sustainable innovation implementation. Based on the literature review and discussion with an expert panel, barriers and solutions to overcome these barriers are identified. The best-worst method (BWM) is used to compute each barrier's relative weights, and the Complex Proportional Assessment method (COPRAS) is used to prioritise and select the most effective solution. The suggested framework is numerically illustrated by applying it to a manufacturing organisation. The findings show that organizational change synchronized with innovative technological change is the top-ranked solution. In addition, sensitivity analysis is performed to check the robustness of the proposed BWM-COPRAS framework. This study will help policymakers better understand the obstacles that obstruct the effective implementation of sustainable innovation in manufacturing organisations. It will also aid the decision-makers in tackling the barriers through systematic implementation of the solutions.
  Keywords: Sustainable supply chain management; Sustainable innovation; Barriers; Solutions; BWM; COPRAS.
  DOI: 10.1504/IJBPSCM.2025.10071480