Operations and Supply Chain Management-An International Journal
Scope & Guideline
Driving impact through scholarly research in operations and supply chains.
Introduction
Aims and Scopes
- Supply Chain Optimization and Logistics:
Focus on methodologies and models for enhancing the efficiency and effectiveness of supply chain operations, including logistics, inventory management, and distribution strategies. - Risk Management in Supply Chains:
Exploration of various risks affecting supply chains, including disruptions from natural disasters, pandemics, and market fluctuations, along with strategies for mitigating these risks. - Sustainability and Green Supply Chain Practices:
Research on sustainable practices within supply chains, including the integration of environmental considerations, social responsibility, and regulatory compliance. - Technological Integration in Supply Chains:
Investigating the role of emerging technologies like IoT, AI, and blockchain in transforming supply chain processes and enhancing operational capabilities. - Healthcare Supply Chain Management:
Special focus on the unique challenges and innovations in the healthcare supply chain, especially in the context of public health emergencies and service delivery. - Performance Measurement and Improvement:
Assessment and development of metrics and frameworks for evaluating supply chain performance and implementing improvement initiatives.
Trending and Emerging
- Impact of COVID-19 on Supply Chains:
An increased focus on understanding the implications of the COVID-19 pandemic on supply chain operations, resilience, and industry adaptation has emerged, highlighting the need for research on crisis management. - Digital Transformation and Industry 4.0:
A growing number of studies explore how digital technologies, such as IoT, AI, and blockchain, are reshaping supply chains and operations, emphasizing the importance of technological integration. - Sustainable and Ethical Supply Chains:
Research on sustainability practices, ethical considerations, and corporate social responsibility in supply chains is gaining prominence, reflecting heightened awareness of environmental and social impacts. - Healthcare Supply Chain Innovations:
There is an increasing trend towards research focusing on innovations and challenges specific to the healthcare supply chain, especially in light of recent global health crises. - Data Analytics and Predictive Modeling:
The use of advanced data analytics and predictive modeling techniques in supply chain decision-making is trending, with more studies showcasing their application to enhance operational performance.
Declining or Waning
- Traditional Inventory Management Techniques:
Research on conventional inventory management practices has decreased as companies increasingly adopt advanced analytics and technology-driven solutions. - Basic Forecasting Methods:
The prevalence of papers focusing solely on traditional forecasting methods has waned, with more emphasis now placed on data-driven and machine learning approaches. - General Supply Chain Collaboration:
While collaboration remains important, the focus has shifted towards specific collaborative technologies and frameworks rather than broad discussions on collaboration. - Single Industry Supply Chain Studies:
Research concentrated on individual industries without comparative analysis is less frequent, as interdisciplinary and cross-industry studies gain traction. - Theoretical Models without Empirical Evidence:
There is a noticeable decline in purely theoretical contributions lacking empirical validation, with a preference for research that provides practical insights and real-world applications.
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