Journal of Modelling in Management
Scope & Guideline
Shaping the Future of Management with Rigorous Research.
Introduction
Aims and Scopes
- Supply Chain Management:
The journal extensively covers topics related to supply chain optimization, resilience, and sustainability, focusing on innovative modeling techniques like mixed-integer programming, simulation, and fuzzy logic. - Decision-Making Models:
It emphasizes the development and application of decision-making frameworks, including multi-criteria decision-making (MCDM) and data envelopment analysis (DEA), aiding organizations in making informed choices. - Financial Modeling and Risk Assessment:
Research in this area includes financial performance prediction, risk management strategies, and the impact of economic factors on organizational behavior, often utilizing machine learning and statistical methods. - Sustainability and Circular Economy:
A significant focus is on sustainable practices within supply chains and organizations, exploring frameworks that promote environmental responsibility and circular economy principles. - Technology Integration in Management:
The journal addresses the implications of emerging technologies such as artificial intelligence and blockchain on management practices and decision-making processes. - Behavioral and Psychological Aspects of Management:
It investigates the human factors influencing organizational effectiveness, including leadership, employee engagement, and consumer behavior.
Trending and Emerging
- Artificial Intelligence and Machine Learning:
There is a significant increase in research applying AI and machine learning techniques to improve decision-making processes across various sectors, emphasizing the need for data-driven insights. - Sustainable Supply Chain Practices:
A growing emphasis on sustainability is evident, with many studies exploring innovative approaches to enhance ecological responsibility and resilience in supply chains. - Digital Transformation and Industry 4.0:
Research on the implications of digital technologies and Industry 4.0 frameworks is trending, focusing on how these advancements reshape management practices and operational efficiencies. - Behavioral Insights in Management:
Emerging themes include the exploration of psychological factors and behavioral economics in organizational decision-making, highlighting the importance of human behavior in management strategies. - Collaborative and Networked Approaches:
There is a trend towards collaborative models that emphasize the importance of partnerships and networks in achieving strategic objectives, particularly in logistics and supply chain management.
Declining or Waning
- Traditional Manufacturing Techniques:
Research focusing on conventional manufacturing processes and methodologies is declining as the industry shifts towards automation and advanced manufacturing technologies. - Static Financial Models:
There has been a noticeable waning in the relevance of static financial models that do not account for dynamic market conditions, as researchers increasingly favor models that incorporate real-time data and adaptability. - Basic Predictive Analytics:
While predictive analytics remains important, basic models without sophisticated algorithms or machine learning techniques are less frequently published, indicating a move towards more complex methodologies. - Non-Integrated Approaches to Supply Chain Management:
Standalone studies that do not consider the integrated nature of supply chains and their interconnectedness are becoming less common, as holistic views are favored. - Focus on Localized Case Studies:
There is a trend away from localized case studies that do not contribute to broader theoretical frameworks, as the journal seeks research that provides generalizable insights.
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