-------- Forwarded Message --------
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<mailto:s.fosso-wamba@tbs-education.fr>
(for information about the SI)
Dr Maciel M. Queiroz, University of São Paulo, Brazil,
maciel.queiroz@usp.br<mailto:maciel.queiroz@usp.br>
Professor Ashley Braganza, Brunel Business School, UK,
ashley.braganza@brunel.ac.uk<mailto: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<mailto:s.fosso-wamba@tbs-education.fr>
| +33 5 61 29 50 54 |
www.fossowambasamuel.com<http://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-intelligence-benefits-and-challenges-in-operations-and-supply-chain-management/
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
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