IEEE Transactions on
Special Issue: MCDM/A and AI as Drivers of Innovation and Entrepreneurship
SHORT REFERENCE: MCDMA & AI FOR E&I
George Washington University, USA
Fernando A. F. Ferreira*
University Institute of Lisbon (ISCTE-IUL), Portugal
University of Memphis, USA
João J. M. Ferreira
University of Beira Interior, Portugal
University of Oviedo, Spain
National Taipei University, Taiwan
Technical University of Crete, Greece
* Handling Guest-Editor.
Decision problems have been complicated by an ever-greater degree of complexity, forcing decision makers to seek out for new approaches and methodologies that facilitate the processes that support decision making (Keeney, 1992; Belton and Stewart, 2002).
Multiple Criteria Decision Making/Analysis (MCDM/A) and Artificial Intelligence (AI) techniques constitute valuable tools for structuring and evaluating complex decision situations, and can allow for more informed, potentially better decision automatisms (Carayannis et al., 2018). These techniques are able to produce highly-sophisticated assessment systems built on expert knowledge, and have grown exponentially over the past few years, causing a change in the field of operational research/management science (OR/MS) (Zavadskas et al., 2014).
This special issue aims to bring together recent developments and methodological contributions within MCDM/A and AI in innovation, entrepreneurship and business development. Although reworking of case studies from other authors and bibliometric literature reviews are strongly discouraged, it is open to all contributions proposing both new methods and advances in existing techniques. Contributions dealing with MCDM/A and AI in real-world business decision situations are particularly welcome. We are interested in topics such as:
- AI algorithmic designs and architectures: Evolutionary, reinforcement and higher older learning
- Collaborative decision making
- Decision models for competitive gains
- Decision support and strategic planning
- Expert systems, intelligent agents and semantic technologies
- Machine learning concept, context and algorithms
- MCDA applications for policy making
- MCDM/A and AI applications in various sectors (e.g., education, medicine, finance, defence, diplomacy, development, politics, retail, and supply chains).
- Mental models and cognitive mapping
- Performance measurement system design and development
- Soft systems for complex problems
- Supervised vs. Autonomous learning, associative learning and higher order learning
- Swarms, networks and clusters of intelligence
- Systems thinking and business dynamics
- Value-focused thinking
- Papers should be original, unpublished, and not currently under consideration for publication elsewhere. Before submitting manuscripts, authors are advized to ensure that they have conformed to the requirements detailed in the instructions to authors that can be found on the journal’s homepage.
- Manuscripts which are incorrectly formatted or do not contain all the required elements may be desk-rejected.
- All inquiries should be sent directly to Professor Fernando Ferreira (email@example.com) and cc ALL co-editors, clearly indicating in the subject “Special issue in IEEE TEM MCDMA & AI FOR E&I”.
- Please upload all papers on the IEEE TEM Editorial Manager clearly indicating they are submissions for the IEEE TEM SI MCDMA & AI FOR E&I” and also email them to ALL co-editors.
Please prepare the manuscript according to IEEE-TEM’s guidelines (http://ieee-tmc.org/tem-guidelines) and submit it the journal’s Manuscript Central site (https://mc.manuscriptcentral.com/tem-ieee). Please clearly state in the cover letter that the submission is for this special issue.
Each paper is desk reviewed by the guest-editor/s and, if it is judged suitable for this publication, it is then sent to two independent referees for double blind peer review. All papers will be subject to the journal’s usual reviewing procedure to ensure a high quality of the contributions. As a general guideline, papers should be reviewed for appropriateness within a week of submission. The average time to first decision should be 60 days. The average time from submission to acceptance should be 180 days. The target number of accepted papers is 10 + Introduction/Editorial.
- Submission of the Full Paper: December 31, 2020
- Tentative date for double blind review outcome: March 31, 2021
- Final submission: May 31, 2021
Belton, V. & Stewart, T. (2002). Multiple Criteria Decision Analysis: An Integrated Approach. Dordrecht: Kluwer Academic Publishers.
Carayannis, E.G., Y. Goletsis, and E. Grigoroudis (2015), Multi-Level Multi-Stage Efficiency Measurement: the Case of Innovation Systems, Operational Research: An International Journal, 15 (2), 253-274.
Carayannis, E. and E. Grigoroudis (2016). Using Multi-objective Mathematical Programming to Link National Competitiveness, Productivity and Innovation, Annals of Operations Research, 247 (2), 635-655.
Carayannis, E.G., E. Grigoroudis, and Y. Goletsis (2016). A Multi-level and Multi-stage Efficiency Evaluation of Innovation Systems: A Multi-objective DEA Approach, Expert Systems with Applications, 62, 63-80..
Carayannis, E.G., Y. Goletsis, and E. Grigoroudis (2018). Composite Innovation Metrics: MCDA and the Quadruple Innovation Helix Framework, Technological Forecasting and Social Change, 131, 4-17.
Carayannis, E.; Ferreira, J.; Jalali, M. & Ferreira, F. (2018). MCDA in Knowledge-Based Economies: Methodological Developments and Real-World Applications, Technological Forecasting and Social Change, Vol. 131, 1-3.
Keeney, R. (1992). Value-focused Thinking: A Path to Creative Decision Making. Harvard: University Press Harvard.
Zavadskas, E.; Turskis, Z. & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, Vol. 20(1), 165-179.
Doumpos, M. & Grigoroudis, E. (2013). Multicriteria decision aid and artificial intelligence: Links, theory, and applications, John Wiley & Sons, Chichester.
Guest Editor Bios
Elias G. Carayannis is Full Professor of Science, Technology, Innovation and Entrepreneurship at the George Washington University School of Business in Washington, DC. He is also co-Founder and co-Director of the Global and Entrepreneurial Finance Research Institute (GEFRI) and Director of Research on Science, Technology, Innovation and Entrepreneurship, European Union Research Center (EURC) at the School of Business of the George Washington University. Dr. Carayannis’ teaching and research activities focus on the areas of strategic Government-University-Industry R&D partnerships, technology road-mapping, technology transfer and commercialization, international science and technology policy, technological entrepreneurship and regional economic development. Dr. Carayannis has several publications in both academic and practitioner journals, including IEEE Transactions in Engineering Management, Research Policy, Journal of R&D Management, Journal of Engineering and Technology Management, International Journal of Technology Management, Technovation, Journal of Technology Transfer, Engineering Management Journal and many others.
Fernando A.F. Ferreira is Associate Professor w/Habilitation and Vice-Dean for financial affairs at the ISCTE Business School of the University Institute of Lisbon, and Adjunct Research Professor at the Fogelman College of Business and Economics of the University of Memphis, TN, USA. He holds a PhD in Quantitative Methods Applied to Economics and Management from the University of Algarve, Portugal. Some of his articles are published by ISI-listed journals such as IEEE Transactions in Engineering Management, Technological Forecasting & Social Change, Journal of Business Research, Annals of Operations Research, Journal of the Operational Research Society, Journal of Cleaner Production, Management Decision, International Journal of Information Technology & Decision Making, and Service Business. He has practical experience as group facilitator and his research interests include MCDA, fuzzy logics and integrated systems for performance measurement. He has served as guest-editor for premier journals such as Technological Forecasting & Social Change, Management Decision, and European Journal of International Management.
João J.M. Ferreira is Associate Professor at the University of Beira Interior (UBI), Portugal. He holds a PhD in Entrepreneurship and Small Business Management from the Autonomous University of Barcelona (UAB), Spain. Currently, he is the scientific coordinator of the UBI Research Unit for Business Sciences (NECE), Portugal. He has published over 200 papers in premier international journals and edited or co-edited several books on strategy, innovation and entrepreneurship. His research interests include strategy, competitiveness and entrepreneurship.
Guillermo Pérez-Bustamante holds a PhD and is a Professor of Business Organization at the University of Oviedo, Spain. He has served as Director of Graduate Employability at the same university. He has lectured as Visiting Professor in France, Portugal, Colombia, Argentina and Peru, as well as in several Spanish universities. He has published in international journals such as IEEE Transactions in Engineering Management, International Journal of Technology Management, Journal of the Operational Research Society, International Journal of Business Environment, International Journal of Business Competition and Growth, and Journal of Business Economics and Management; and edited or co-edited several works on innovation and entrepreneurship. His research interests include strategy, technology and knowledge management and entrepreneurship and education. He has served as guest-editor for Management Decision.
Wenchang Fang is Full Professor at the Department of Business Administration of the National Taipei University, Taiwan. He is a distinguished leader in international management and education, who holds a PhD from the Northwestern University, IL, USA. He has served as Department Chairperson from 2000 to 2003, undertook the position of Chairperson of the Graduate Institute of Information Management from 2001 to 2004, and also served as Dean of the Business College. He has published extensively in a variety of leading journals, and his research interests include marketing and consumer behavior.
Evangelos Grigoroudis is Professor on management of quality processes at the School of Production Engineering and Management of the Technical University of Crete, Greece (2002−). He has received distinctions from the Hellenic Operational Research Society, the Academy of Business and Administrative Sciences, the World Automation Congress, the Technical University of Crete, and the State Scholarships Foundation of Greece. He acts as reviewer for more than 80 scientific journals, and he is associate editor and editorial board member of the several scientific journals. He coauthored/coedited more than 17 books in operational research, multicriteria decision analysis, service quality measurement, and corporate strategy and published more than 200 articles in scientific journal, books and conference proceedings.
IEEE Transactions on Engineering Management is journal of the Technology and Engineering Management Society of IEEE, published quarterly since 1954. It is dedicated to the publication of peer-reviewed original contributions, by researchers and practitioners, regarding the theory and practice of engineering, technology, and innovation management.
Editor in Chief
Tugrul U Daim, PhD PICMET Fellow
Professor and Director
Technology Management Doctoral Program
Department of Engineering and Technology Management
Maseeh College of Engineering and Computer Science
Portland State University, Portland OR