人工智能在供应链管理中的应用:文献计量分析

Anna Tatarczak
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引用次数: 0

摘要

工业 4.0 概念和技术侧重于互联性、数字化和自动化,对于微观和宏观经济实体的长期成功至关重要。在这一框架内,人工智能(AI)已成为有效供应链管理(SCM)的关键推动因素。本研究对当前的文献进行了彻底审查,以调查人工智能在供应链管理中的作用。本研究试图通过系统回顾和使用文献计量分析方法,确定研究趋势,评估知识现状,并提供有关管理影响的见解。本研究的管理意义揭示了人工智能可能为供应链管理业务带来的潜在好处和可能性。研究结果为企业提供了改进供应链运营、提升决策流程的方法,并通过正确利用人工智能的潜力,在不断变化的商业环境中实现竞争优势。
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MAPPING THE LANDSCAPE OF ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MANAGEMENT: A BIBLIOMETRIC ANALYSIS
Industry 4.0 concepts and technologies, which focus on interconnectivity, digitalization, and automation, are critical to the long-term success of both micro and macroeconomic entities. Artificial Intelligence (AI) has emerged as a critical enabler for effective Supply Chain Management (SCM) within this framework. This research study conducts a thorough examination of the current literature to investigate the role of AI in SCM. The study attempts to identify research trends, appraise the present state of knowledge, and provide insights on management implications through a systematic review and the use of bibliometric analytic methodologies. The management implications of this study provide light on the potential benefits and possibilities that AI may provide to SCM operations. The research findings provide firms with the means to improve their supply chain operations, elevate decision-making processes, and achieve a competitive advantage in the changing business landscape by properly using the potential of AI.
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IS THE TAX WEDGE IN POLAND NON-LINEAR? ANALYSIS OF THE FUNCTIONS OF PROJECT MANAGEMENT INFORMATION SYSTEMS – TRADITIONAL APPROACH THE IMPACT OF TECHNOLOGICAL INNOVATION ON FIRM PERFORMANCE IN NIGERIA CONSOLIDATED BREWERIES PLC MAPPING THE LANDSCAPE OF ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MANAGEMENT: A BIBLIOMETRIC ANALYSIS THE MICROECONOMIC DETERMINANTS OF THE PERFORMANCE OF LARGE COMPANIES: CASE OF ALGERIAN COMPANIES
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