INDUSTRIAL MANAGEMENT & DATA SYSTEMS
Scope & Guideline
Pioneering Knowledge in Industrial Management and Analytics
Introduction
Aims and Scopes
- Digital Transformation in Supply Chains:
Research aimed at understanding how digital technologies, such as big data analytics, artificial intelligence, and blockchain, can enhance supply chain operations and transparency. - Sustainability and Green Practices:
Exploration of sustainable supply chain management practices, innovations in environmental performance, and the implementation of circular economy principles within industrial contexts. - Impact of Social Media and E-Commerce:
Investigation into the roles of social media and e-commerce platforms in shaping consumer behavior, marketing strategies, and operational efficiencies in various industries. - Data-Driven Decision Making:
Research focusing on leveraging data analytics and modeling techniques to improve decision-making processes across various business functions, including finance, operations, and marketing. - Innovation and Technology Management:
Studies that explore the management of technological innovations, including the adoption and integration of new technologies within organizations to enhance competitive advantage.
Trending and Emerging
- Artificial Intelligence and Machine Learning:
There is an increasing focus on the applications of AI and machine learning in various sectors, examining their impact on operational efficiency and decision-making processes. - Blockchain and Supply Chain Transparency:
Research into blockchain technology's role in enhancing transparency and trust within supply chains is gaining momentum, reflecting its importance in modern industrial practices. - Social Commerce and Consumer Engagement:
The integration of social media with commerce, particularly in live streaming and influencer marketing, is emerging as a key area of interest, highlighting new consumer engagement strategies. - Resilience and Risk Management in Supply Chains:
Post-pandemic studies focusing on building resilience and managing risks in supply chains are trending, as organizations seek to adapt to disruptions and uncertainties. - Sustainable Innovation Practices:
There is a growing emphasis on sustainability-driven innovation, particularly how organizations can align their strategies with environmental goals and circular economy principles.
Declining or Waning
- Traditional Management Theories:
There has been a noticeable decrease in papers focusing on classical management theories, as the field shifts towards more contemporary and technology-driven approaches. - Purely Theoretical Frameworks:
Research that does not incorporate empirical data or practical applications is becoming less common, with a greater emphasis on data-driven insights and case studies. - Localized Case Studies:
Studies focusing solely on localized contexts without broader implications or applications are waning, as there is a growing demand for research that offers global insights or cross-contextual analysis.
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