{"title":"Artificial Intelligence Competencies in Logistics Management: An Empirical Insight from Bahrain","authors":"Ahmad Saleh Shatat, Abdallah Saleh Shatat","doi":"10.1142/s0219649223500594","DOIUrl":null,"url":null,"abstract":"This research seeks to examine the artificial intelligence (AI) competencies in logistics management by reviewing its capabilities, challenges and benefits. To increase the use of AI in logistics management, this study addresses the issues of the current technology in AI adoption in logistics management. This goal was accomplished using a systematic methodology. First, a detailed review was conducted to look at the advantages, challenges and current AI competencies. Using a survey instrument and a simple random sampling technique, the required data was collected from 44 businesses which effectively use AI in their logistical operations. The collected data gave insightful information on how AI is currently being used in logistics management. The outcome of this study shows that AI significantly affects logistics management. The study reveals notable competencies, significant challenges and major advantages of AI in managing logistics activities through the systematic analysis and synthesis of the obtained data. These findings demonstrate how AI has the potential to improve operational effectiveness, resource allocation, decision-making processes and supply chain operations in logistics management. A potential recommendation is to establish strategies and guidelines for efficient implementation and integration of AI technologies in logistics management based on the observed technology gap and the research’s findings. This will minimise the current gap and optimise the advantages of the industry’s use of AI, resulting in higher performance, cost savings and increased competitiveness for logistics business organisations.","PeriodicalId":45460,"journal":{"name":"Journal of Information & Knowledge Management","volume":"26 104","pages":"0"},"PeriodicalIF":0.9000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information & Knowledge Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0219649223500594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This research seeks to examine the artificial intelligence (AI) competencies in logistics management by reviewing its capabilities, challenges and benefits. To increase the use of AI in logistics management, this study addresses the issues of the current technology in AI adoption in logistics management. This goal was accomplished using a systematic methodology. First, a detailed review was conducted to look at the advantages, challenges and current AI competencies. Using a survey instrument and a simple random sampling technique, the required data was collected from 44 businesses which effectively use AI in their logistical operations. The collected data gave insightful information on how AI is currently being used in logistics management. The outcome of this study shows that AI significantly affects logistics management. The study reveals notable competencies, significant challenges and major advantages of AI in managing logistics activities through the systematic analysis and synthesis of the obtained data. These findings demonstrate how AI has the potential to improve operational effectiveness, resource allocation, decision-making processes and supply chain operations in logistics management. A potential recommendation is to establish strategies and guidelines for efficient implementation and integration of AI technologies in logistics management based on the observed technology gap and the research’s findings. This will minimise the current gap and optimise the advantages of the industry’s use of AI, resulting in higher performance, cost savings and increased competitiveness for logistics business organisations.
期刊介绍:
JIKM is a refereed journal published quarterly by World Scientific and dedicated to the exchange of the latest research and practical information in the field of information processing and knowledge management. The journal publishes original research and case studies by academic, business and government contributors on all aspects of information processing, information management, knowledge management, tools, techniques and technologies, knowledge creation and sharing, best practices, policies and guidelines. JIKM is an international journal aimed at providing quality information to subscribers around the world. Managed by an international editorial board, JIKM positions itself as one of the leading scholarly journals in the field of information processing and knowledge management. It is a good reference for both information and knowledge management professionals. The journal covers key areas in the field of information and knowledge management. Research papers, practical applications, working papers, and case studies are invited in the following areas: -Business intelligence and competitive intelligence -Communication and organizational culture -e-Learning and life long learning -Electronic records and document management -Information processing and information management -Information organization, taxonomies and ontology -Intellectual capital -Knowledge creation, retention, sharing and transfer -Knowledge discovery, data and text mining -Knowledge management and innovations -Knowledge management education -Knowledge management tools and technologies -Knowledge management measurements -Knowledge professionals and leadership -Learning organization and organizational learning -Practical implementations of knowledge management