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International Journal of Business Performance and Supply Chain Modelling - Inderscience | 2024 Cite Score:1.4 | Q3

International Journal of Business Performance and Supply Chain Modelling With Cite Score

Cite Score and Journal Rank of International Journal of Business Performance and Supply Chain Modelling

  • About: 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.

  • 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
  • Latest Research Topics for PhD in Computer Science
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  • 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:  21

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Business and International Management

    Q4:  

  • Cite Score:  1.4

  • SNIP:  0.201

  • Journal Rank(SJR):  0.161