About the Journal

The Journal of Artificial Intelligence and Machine Learning in Management is a leading academic journal that focuses on the application of artificial intelligence and machine learning techniques in management and business. The journal publishes original research papers, review articles, and case studies that provide insights into the latest developments in these fields and their impact on management and business practices. The journal is particularly interested in papers that explore the intersection of artificial intelligence, machine learning, and management, and how these technologies can be used to improve decision-making, optimize business processes, and enhance performance.

 

The Journal of Artificial Intelligence and Machine Learning in Management is published by SageScience Publishing and is indexed in major databases. The journal's editorial board is composed of leading experts in the field, who ensure that the papers published in the journal are of high quality and are of interest to the academic community. The journal also welcomes submissions from practitioners and industry experts, providing a platform for the dissemination of knowledge and ideas between academia and industry. With its focus on cutting-edge research and its commitment to high editorial standards, the Journal of Artificial Intelligence and Machine Learning in Management is an important resource for researchers, academics, and practitioners working in the field of artificial intelligence and machine learning in management.

 

Scopes

The Journal of Artificial Intelligence and Machine Learning in Management has a broad scope, covering a wide range of topics related to the application of artificial intelligence and machine learning techniques in management and business. Some of the key scopes of the journal include:

• The use of artificial intelligence and machine learning in decision-making and problem-solving in management and business.
• The application of artificial intelligence and machine learning to optimize business processes, such as supply chain management, marketing, and operations.
• The use of artificial intelligence and machine learning to improve performance and productivity in different industries and sectors.
• The ethical and societal implications of artificial intelligence and machine learning in management and business.
• The development and implementation of artificial intelligence and machine learning systems in organizations, and their impact on organizational structure and culture.
• The use of artificial intelligence and machine learning in the fields of finance, healthcare, retail, and other industries.
• The integration of artificial intelligence and machine learning with other technologies such as big data, IoT, and blockchain.

In addition to research papers, the journal also welcomes submissions of review articles and case studies, providing a platform for the dissemination of knowledge and ideas in the field of artificial intelligence and machine learning in management and business.