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​Enterprise Performance Management Optimization Based on Big Data.- The Study on Optimal Green Supply Chain of New Energy Vehicles.- Live Stream and Willingness to Buy: The Interactivity Between Loneliness and Para-social Interaction.- Risk Prediction Model of Financial Lending Big Data Leakage Based on Association Rules.

<p>Prof. Tao-Sheng Wang&nbsp;is Ph. D., Professor of Applied Economics (International Trade Direction), specialist of General Office of the State Council, director of&nbsp;Chinese Society of World Economy, vice chairman of the Expert Committee of China Association of Trade in Service, master tutor. He is the dean of School of Business of Hunan International Economics University and chief expert of the provincial-level social science key research base. He is also a foregoer of provincial-level&nbsp;key construction course ‘International Trade,’ provincial-level teaching team ‘International Trade,’ provincial-level characteristic specialty ‘International Economics and Trade.’ He is responsible for project of provincial-level trial of the comprehensive reform major ‘International Economics and Trade,’ provincial-level excellent course ‘International Trade Affairs,’ and information-based teaching reform and construction project (top teacher class space of ‘International Trade Affairs’). Hehas presided one general program of Natural Science Foundation of China (NSFC), one subproject of major project of National Social Science Foundation, three provincial and ministerial-level major projects and five general items. He has published more than 50 papers in national authoritative journals such as ‘Management World,’ ‘Chinese Rural Economy,’ ‘Economic Perspectives,’ ‘Journal of International Trade,’ and so on, 5 academic works in Economic Science Press, China Economic Publishing House, etc. His research results have won the second prize of the 11th Hunan Provincial Philosophy and Social Science Outstanding Achievement Award, third prize of the 9th Hunan Provincial Philosophy and Social Science Outstanding Achievement Award. He has chaired five teaching reform projects such as provincial-level teaching and learning quality engineering and others. The transformation of education achievements has been awarded second prize and third prize of the provincial higher education teaching achievement. He authors five textbooks, ‘A New Course in International Trade Practice’ of which has won Provincial Excellent Teaching Material Award. He was invited to attend the United Nations ‘2010 World Trade Summit Forum (New York)’ and ‘2015 World Trade Summit Forum (Geneva)’ as well as gave keynotes in ‘The 3rd International Conference on Finance and Economic Development (Hong Kong),’ ‘WTO and the 7th International Academic Conference of China (Shanghai),’ ‘World trade and China’ ‘The First International Academic Conference (Changsha)’ and ‘the 3rd International Conference on Business Computing and Global Informatization,’ and the research results have had a positive impact in International economics and trade fields. The results of the key application research projects hosted in 2015 received affirmative and important instructions from the main leaders of the provincial government.</p>

<p>Dr. Srikanta Patnaik&nbsp;is Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India. He has received his Ph. D. Engineering) on Computational Intelligence from Jadavpur University, India, in 1999 and supervised 25 Ph. D. Theses and more than 60 Master theses in the area of computational intelligence, soft computing applications and re-engineering. Dr. Patnaik has published around 100 research papers in international journals and conference proceedings. He is author of 2 text books and 32 edited volumes and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. Dr. Patnaik is Editor-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published by Inderscience Publishing House, England, and also Editor-in-chief of Book Series on ‘Modeling and Optimization in Science and Technology’ published by Springer, Germany;&nbsp;&nbsp;Book Series on Advances in Computer and Electrical Engineering (ACEE) and Book Series on Advances in Medical Technologies and Clinical Practices (AMTCP), published by IGI-Global, USA. He is the Editor of Journal of Information and Communication Convergence Engineering, published by Korean Institute of Information and Communication Convergence Engineering. He is also Associate Editor of International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), published by IGI-Global and International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS) published by Inderscience Publishing House, England.</p>

<p>Dr.&nbsp;Chun Ho Jack&nbsp;Wu holds Bachelor of Engineering in Industrial and Systems Engineering and a PhD in Manufacturing and Industrial Engineering. He also holds a six-sigma black belt certification from the Hong Kong Society of Quality and he contributes regularly to research papers in the areas of Internet of things, engineering optimization and business intelligence. In collaboration with several scholars at PolyU, Tianjin University, Sun Yat-sen University, the University of York, etc., his project works and research outcomes have been presented in 10+ international conferences and published in 30+ international refereed journals, such as information science, Internet research, expert systems with applications, enterprise information systems, industrial management and data systems. He is also one of the authors of IoT: The Basic, Applications and Case Studies, and System Design and Technology of Biomedical Internet of Things. Dr. Wu worked closely with many industrial partners such as Towngas Telecommunications Co Ltd, Leo Paper Bags Manufacturing (1982) Ltd, Dr. Kids Education Group Ltd, and Photon Int. Ltd, to support and contribute to the formulation of their business strategies, operations improvement and new product development. Dr. Wu was the recipient of the Big Data Analysis Award from the China and Hong Kong Enterprise Market Development Association in 2014, and the Best Reviewer Award for a journal entitled Internet Research in 2016. In 2015, his biographical profile has been selected for inclusion in the Marquis Who's Who in the World(R) 2016. Dr. Wu is a member of IEEE and the British Machine Vision Association and Society for Pattern Recognition and a senior member of the Hong Kong Society of Quality. Additionally, Dr. Wu serves on the editorial boards of the International Journal of Engineering Business Management and Enterprise Information Systems. Dr. Wu’s area of interest is in the field of smart logistics and manufacturing.</p>

<p>Leonilde Varela &nbsp;received her PhD degree in Industrial Engineering and Management from the University of Minho, Portugal, in 2007. She is Assistant Professor at Department of Production and Systems of University of Minho. Her main research interests are in manufacturing planning and control, scheduling, decision support and Web-based systems and services, collaborative networks, and virtual and distributed enterprises, artificial intelligence, optimization and meta-heuristics. She has published more than 80 refereed scientific papers in international conferences and in international scientific books and journals. She coordinates R&D projects in the area of Production and Systems Engineering, namely concerning the development of web-based platforms and decision support systems and methodologies. She is a frequent paper reviewer for several journals, including the Journal of Computer Integrated Manufacturing and the Journal of Decision Systems. She is a member of several groups, namely of the Euro Working Group of Decision Support Systems (EWG-DSS) and Machine Intelligence Research Labs (MIR Labs).</p>

This book covers research trends of data science and management involving cutting edge technologies and novel research directions from diverse fields of industries, business and government sectors. It involves usage of various advanced tools and techniques for understanding different data collected at the grassroot level to generate actionable insights for making crucial decisions. This book aims to serve as a reference book for researchers in the area of decision science for management. It covers alternative solutions with innovative ideas and issues from different fields of business management.

Covers an emerging area in IT, i.e., decision sciences and management Results of ICDSM 2022 held in Changsha, China Serves as a reference for researchers and practitioners in academia and industry