-------- Forwarded Message -------- Subject: [AISWorld] Special Issue: Artificial Intelligence in Operations Management of the Annals of Operations Research Journal Date: Fri, 19 Jul 2019 23:46:38 +0000 From: FOSSO-WAMBA Samuel s.fosso-wamba@tbs-education.fr To: 'aisworld@lists.aisnet.org' aisworld@lists.aisnet.org
Call for Papers Annals of Operations Research Special Issue: Artificial Intelligence in Operations Management
The Annals of Operations Research seeks submissions for a special issue on "Artificial Intelligence in Operations Management". The deadline for submission is February 15, 2020. The recent and exponential increase in the number of adopters of digital technologies, thanks to information and communications technology (ICTs) advances, has been drastically changing the field of operations management (OM). Even though it has been already studied for decades, artificial intelligence (AI) has gained high momentum only in the recent decade, in the wake of an unprecedented development of the Internet and social networks. So, organizations definitely started to incorporate AI techniques into the management of their various operations. The main objective of this special issue (SI) is to unlock the potential of AI applications in the OM field. Scholars and practitioners interested in providing and sharing the finest and latest advances in the Interplay of AI in the OM field are therefore invited to submit their work. High-quality original research papers are expected. We would especially welcome innovative contributions based on survey research, in-depth real cases, multicriteria methodologies, and research based on mixed-methods approaches. The main topics of interest include, but are not limited to:
* In-depth real cases reporting the main types of AI used in OM * In-depth real cases reporting machine learning applications in OM * In-depth real cases reporting AI adoption and implementation in the OM field * In-depth real cases reporting on the use of the Internet of Things in OM * Surveys exploring the diffusion stages of AI in the OM field * Surveys exploring the barriers of AI adoption in OM * AI heuristics for the optimization of the OM service level * Frameworks to support AI implementation * AI and big data analytics applied in OM * AI and blockchain technologies applied in OM * The application of disruptive technologies in OM * Multicriteria decision analysis applied in the interplay of AI and OM * Applications of AI in supply chain management * Main risks related to AI in OM * Benefits and improvement of AI in supporting decision-making process in OM * Critical success factors of AI adoption and implementation and diffusion in OM
Instructions for authors can be found at: http://www.springer.com/business/operations+research/journal/10479 Authors should submit a cover letter and a manuscript by February 15, 2020, via the Journal's online submission site. Manuscripts submitted after the deadline may not be considered for the special issue and may be transferred, if accepted, to a regular issue. Please see the Author Instructions on the web site if you have not yet submitted a paper through Springer's web-based system, Editorial Manager. When making a comment, please select the article's type "S.I. : Artificial Intelligence in Operations Management" to ensure that it will be reviewed for this Special Issue. Papers will be subject to a strict review process under the supervision of the Guest Editors, and accepted papers will be published online individually, before print publication.
Guest Editors: Professor Samuel Fosso Wamba, Toulouse Business School, France, s.fosso-wamba@tbs-education.fr (for information about the SI) Dr Maciel M. Queiroz, University of São Paulo, Brazil, maciel.queiroz@usp.brmailto:maciel.queiroz@usp.br Professor Ashley Braganza, Brunel Business School, UK, ashley.braganza@brunel.ac.ukmailto:ashley.braganza@brunel.ac.uk
Guest Editors bios:
Dr Samuel Fosso Wamba is Full Professor at Toulouse Business School. His current research focuses on business value of IT, inter-organizational systems adoption and use, supply chain management, electronic commerce, mobile commerce, electronic government, IT-enabled government transparency, blockchain, artificial intelligence in business, social media, business analytics, big data and open data. He has published papers in a number of international conferences and journals including: Academy of Management Journal, European Journal of Information Systems, Journal of Cleaner Production, International Journal of Production Economics, International Journal of Production Research, Journal of Business Research, Technology Forecasting and Social Change, Production Planning & Control, Journal of Strategic Marketing, Information Systems Frontiers, Electronic Markets - The International Journal on Networked Business, Business Process Management Journal, Proceedings of the IEEE, Hawaii International Conference on Systems Science (HICSS), Pacific Asia Conference on Information Systems (PACIS), Americas Conference on Information Systems (AMCIS) and International Conference on Information Systems (ICIS). Prof Fosso Wamba is organizing special issues on IT-related topics for leading international journals. He is the coordinator of The Big Data Program in London for Toulouse Business School. He won the best paper award of The Academy of Management Journal in 2017 and the papers of the year 2017 of The Electronic Markets: The International Journal on Networked Business. He is an Associate Editor of International Journal of Logistics Management information. He serves on editorial board of five international journals. According to Google Scholar he has an h-index of 32 and over 4,004 citations by January 17, 2019. Prof Fosso Wamba is CompTIA RFID+ Certified Professional, Academic Co-Founder of RFID Academia.
Dr Maciel M. Queiroz is a Researcher in Operations and Supply Chain Management at the Naval Architecture and Ocean Engineering Department of the University of São Paulo, Brazil. Maciel holds an MSc and a PhD in Naval Architecture and Ocean Engineering from the University of São Paulo. His current research interests focus on supply chain digital disruptions, digital supply chain capabilities, Industry 4.0, blockchain, big data, IoT, CPS, including the adoption and use of these technologies. Also, he has supported important track as IFAC MIM and AMCIS.
Ashley Braganza is Deputy Dean of Brunel University London's College of Business, Arts and Social Sciences and Professor of Organizational Transformation at Brunel Business School. His research and consultancy expertise covers the development and implementation of strategy. He has won a number of grants over the years with UKIERI and other funding bodies. Ashley has worked with a large number of organisations advising them on a variety of business process, transformation, strategic, knowledge management and information systems issues. His research incorporates perspectives of big data, the business effects of artificial intelligence, strategy, structure, culture and behaviour, information systems, knowledge management and process reengineering. He has led several major industry-funded research projects in the area of change and process management. He has published three books and numerous research articles, conference papers and working papers covering a range of topics on big data, business processes, change management, process orientation, knowledge management, governance, and organisation structure. His publications appear in journals including the Journal of Business Research, Journal of Strategic Information Systems, Journal of Information Technology, Journal of End-User Computing, Communications of the ACM, The International Journal of Human Resource Management, Leadership and Organization Development Journal, Journal of Marketing Management, Advances in Human Resource Development and Studies in Higher Education.
For more information: http://rutcor.rutgers.edu/CfP%20AI%20in%20OR.pdf
...................................................................................... Dr Samuel FOSSO WAMBA, Ph.D., HDR Professor in Information Systems and Data Science| TBS Service | Toulouse Business School Head of The Artificial Intelligence and Business Analytics Cluster s.fosso-wamba@tbs-education.fr | +33 5 61 29 50 54 | www.fossowambasamuel.comhttp://www.fossowambasamuel.com/ Publications Opportunities:
1. Special Issue of the Production Planning and Control Journal entitled: "Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management": https://think.taylorandfrancis.com/industry-experiences-of-artificial-intell... 2. Special Issue of the Annals of Operations Research Journal entitled: "Artificial Intelligence in Operations Management": http://rutcor.rutgers.edu/CfP%20AI%20in%20OR.pdf www.tbs-education.comhttp://www.tbs-education.fr/en?utm_source=signature-en&utm_medium=email-en&utm_campaign=tbs [Toulouse Business School]http://www.tbs-education.fr/en?utm_source=signature-en&utm_medium=email-en&utm_campaign=tbs [TBS news]http://www.tbs-education.fr/en/go/signature-blockcom-en/?utm_source=signature-en&utm_medium=email-en&utm_campaign=campagne
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