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Advances in Decision Science and Management Advances in Intelligent Systems and Computing Volume 1391 Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Advisory Editors Nikhil R. Pal, Indian Statistical Institute, Kolkata, India Rafael Bello Perez, Faculty of Mathematics, Physics and Computing, Universidad Central de Las Villas, Santa Clara, Cuba Emilio S. Corchado, University of Salamanca, Salamanca, Spain Hani Hagras, School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK László T. Kóczy, Department of Automation, Széchenyi István University, Gyor, Hungary Vladik Kreinovich, Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA Chin-Teng Lin, Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan Jie Lu, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia Patricia Melin, Graduate Program of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico Nadia Nedjah, Department of Electronics Engineering, University of Rio de Janeiro, Rio de Janeiro, Brazil Ngoc Thanh Nguyen , Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland Jun Wang, Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft comput- ing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuro- science, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning para- digms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia. The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results. Indexed by DBLP, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST). All books published in the series are submitted for consideration in Web of Science. More information about this series at http://www.springer.com/series/11156 Taosheng Wang · Srikanta Patnaik · Andrew W. H. Ip · Madjid Tavana Editors Advances in Decision Science and Management Proceedings of Third International Conference on Decision Science and Management (ICDSM 2021) Editors Taosheng Wang Srikanta Patnaik School of Business Department of Computer Science Hunan International Economics University and Engineering Hunan, China Faculty of Engineering and Technology SOA University Andrew W. H. Ip Bhubaneswar, Odisha, India College of Engineering University of Saskatchewan Madjid Tavana Saskatoon, SK, Canada Business Systems and Analytics Department La Salle University Philadelphia, PA, USA ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems and Computing ISBN 978-981-16-2501-5 ISBN 978-981-16-2502-2 (eBook) https://doi.org/10.1007/978-981-16-2502-2 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Preface The 3rd International Conference on Decision Science and Management (ICDSM 2021) was organized at Guangzhou in China during January 8–10, 2021, by The Hang Seng University of Hong Kong (Big Data Intelligence Centre) in collabora- tion with Interscience Research Network (IRNet) and IRNet International Academic Communication Center, China. ICDSM provides a suitable platform for academi- cians, practitioners, researchers and experts to showcase their work and findings as well as exchange ideas and future directions while sharing their experiences with each other. ICDSM 2021 has focused on recent research trends and advancements in decision science field and its importance in diversified application fields. Deci- sion science integrated with other relevant techniques not only adds values to crucial decisions but also provides a new direction to the advancement of Internet of things, distributed computing, cloud computing and blockchain technology. The conference has received a good response with a large number of submissions. The total number of relevant papers accepted for publication has been broadly divided into five major parts including: (i) decision support system; (ii) technology and inno- vation management; (iii) operation and management; (iv) Internet and E-commerce based applications; and (v) data science and digitization. Due to the COVID-19, it was difficult to hold the conference physically, but ICDSM 2021 has encouraged the scholar to participate in the conference virtu- ally. The conference attracted several papers from cutting-edge applications across academic institutions and industrial organizations. Hunan, China Prof. Taosheng Wang Bhubaneswar, India Prof. Srikanta Patnaik Saskatoon, Canada Prof. Andrew W. H. Ip Philadelphia, USA Prof. Madjid Tavana v Acknowledgements The contributions covered in this proceedings are the outcome of the contributions from more than one hundred researchers. We are thankful to the authors, paper contributors of this volume and the departments which support the event a lot. We are thankful to Editor in Chief of the Springer Book Series on “Advances in Intelligent Systems and Computing” Prof. Janusz Kacprzyk for his support to bring out the second volume of the conference, i.e., ICDSM 2021. It is noteworthy to mention here that constant support from the editor in chief and the members of the publishing house makes the conference fruitful for the second edition. We would like to extend our heartfelt thanks to Dr. Aninda Bose, Senior Editor of Springer Interdisciplinary Applied Sciences and Computational Intelligence, and his publishing team for his encouragement and support. We are thankful to Prof. Madjid Tavana, La Salle University, USA, and Dr. Andrew W. H. Ip, University of Saskatchewan, Canada, for their well-researched keynote addresses. We are also thankful to our guest speakers Prof. Lianne Lam, The Hong Kong Polytechnic University, China; Prof. Mike Tse, Operations Management and Business Analytics, Cardiff University; and Dr. Muhammad Ibrar, Harbin Institute of Technology, for their well-researched talks. We are also thankful to our academic partners: The Hang Seng University of Hong Kong (Big Data Intelligence Centre; School of Economics and Management, South China Normal University, Guangzhou, China); Scientific Research Office, Hainan University, Hainan, China; Hunan University of Finance and Economics, Changsha, China; School of Electrical and Information Engineering, Hunan University of Tech- nology, Zhuzhou, China; Interscience Research Network (IRNet), India; IRnet Inter- national Academic Communication Center, China; Financial Big Data Science and Technology Key Laboratory of Hunan Province, Changsha, China; and last but not least Interscience Institute of Management and Technology, Bhubaneswar, India. We look forward to your valued contribution
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