The International Journal of Business Performance and Supply Chain Modelling publishes original research articles, technical papers, and reviews on a range of topics related to business performance and supply chain modeling. This includes performance measurement systems, supply chain optimization, risk management, logistics, inventory management, and the application of advanced modeling techniques to business processes. The journal aims to advance the understanding and application of strategies and models that improve business performance and supply chain effectiveness.
Objective
The primary objective of IJBPSCM is to provide a platform for high-quality research and scholarly discussion on business performance and supply chain modeling. The journal seeks to promote the exchange of innovative ideas, support the development of new models and methodologies, and enhance the practical application of these approaches in various business contexts.
Interdisciplinary Approach
International Journal of Business Performance and Supply Chain Modelling adopts an interdisciplinary approach, recognizing that research in business performance and supply chain management often intersects with fields such as operations research, management science, information systems, and industrial engineering. The journal encourages contributions that integrate these diverse perspectives to address complex challenges and develop comprehensive solutions for business and supply chain issues.
Impact and Significance
The journal has a significant impact on the academic and professional communities by providing valuable insights and practical recommendations for researchers, managers, and practitioners. Its influence is reflected in its ability to shape research directions, drive improvements in business performance, and contribute to the development of more efficient and resilient supply chains. IJBPSCM plays a crucial role in advancing knowledge and practice in these critical areas.
Journal Home:  Journal Homepage
Editor-in-Chief:  Prof. Kannan Govindan
scope:
The International Journal of Business Performance and Supply Chain Modelling focuses on the analysis and enhancement of business performance through sophisticated supply chain modeling techniques. It provides a platform for research on how effective supply chain management can drive business performance and competitive advantage.
Business Performance Management:
Research on methods and metrics for evaluating and improving business performance
Innovations in performance measurement frameworks, key performance indicators (KPIs), and benchmarking
Case studies on successful performance management strategies and their impact on organizational outcomes
Trends in performance management technologies and tools
Future directions for advancing business performance management practices
Supply Chain Modelling and Optimization:
Research on modeling techniques for supply chain design, analysis, and optimization
Innovations in mathematical and computational models for improving supply chain efficiency and effectiveness
Case studies on the application of supply chain models in various industries
Trends in optimization methods for supply chain management, including linear programming, simulation, and heuristic algorithms
Future directions for enhancing supply chain modeling and optimization methodologies
Integration of Supply Chain and Business Performance:
Research on the relationship between supply chain management and overall business performance
Innovations in integrating supply chain strategies with business goals and performance metrics
Case studies on how supply chain improvements have led to enhanced business performance
Trends in aligning supply chain operations with strategic business objectives
Future directions for achieving synergy between supply chain management and business performance
Risk Management in Supply Chains:
Research on identifying, assessing, and managing risks in supply chain operations
Innovations in risk mitigation strategies, including redundancy, diversification, and contingency planning
Case studies on managing supply chain disruptions and their impact on business performance
Trends in risk management technologies and practices
Future directions for improving risk management approaches in supply chain contexts
Technological Advances in Supply Chain Management:
Research on the impact of emerging technologies on supply chain management and business performance
Innovations in technologies such as blockchain, IoT, and artificial intelligence for supply chain applications
Case studies on the implementation and benefits of advanced technologies in supply chain management
Trends in the evolution of technology and its role in transforming supply chains
Future directions for integrating new technologies into supply chain strategies
Educational and Professional Development:
Research on educational programs and professional development related to business performance and supply chain management
Innovations in curriculum design, training programs, and certification for professionals in these fields
Case studies on effective education and training strategies for improving business performance and supply chain management
Trends in the development of educational resources and career opportunities in business performance and supply chain management
Future directions for advancing education and professional development in these areas
Print ISSN:  1758-9401
Electronic ISSN:  1758-941X
Abstracting and Indexing:  Scopus
Imapct Factor :  
Subject Area and Category:  Business, Management and Accounting Business and International Management,Strategy and Management , Decision Sciences,Management Science and Operations Research
Publication Frequency:  
H Index:  19
Q1:  
Q2:  
Q3:  Business and International Management
Q4:  
Cite Score:  2.0
SNIP:  0.457
Journal Rank(SJR):  0.283
Latest Articles:   Latest Articles in International Journal of Business Performance and Supply Chain Modelling
Guidelines for Authors: International Journal of Business Performance and Supply Chain Modelling Author Guidelines
Publisher:  Inderscience Publishers
Country:  United Kingdom