Springer Edited Volume
“Computational Management: Applications of Computational Intelligence in Business Management”

Publication: Modeling and Optimization in Science and Technology” (MOST) published by Springer, Germany.

Recently, Academicians, researchers and industry experts are striving to design systems that can investigate problem environment, acquire information, interpret and utilize that knowledge for solving real world problems like human beings but without human interventions. Computational Intelligence (C.I.), a branch of artificial intelligence, stems from such an attempt to solve real-time problems scientifically with adequate interpretations and alternatives to choose the most potential solution. Again, C.I. claims, intelligence of understanding and reasoning to be an attribute of the methodologies responsible for automated decision making i.e. without human interventions. These intelligent tools and techniques can be utilized to address real-world problems that couldn’t be solved by traditional mathematical, statistical and modeling approaches due to its complexity and uncertainty. However, the complexity of the problem can be due to a number of reasons including processes being too complicated for mathematical reasoning, uncertainties and randomness dwelling in process execution, the stochastic nature of some processes etc. Recently, focus has been exponentially increased on management of business applications; utilization of computational intelligence for commercial applications in business management is currently gaining much hype. Computational intelligence has successfully addressed the requisites for diverse range of business applications from time to time including production and operations, finance, logistics, supply chain management, pricing, marketing and many more. Computational intelligence methodologies can be used to design business applications targeting data collection with interesting prospects. Further, such systems will be able to overcome the challenges and pitfalls e-business community face while retrieving, extracting and integrating data from heterogeneous sources. Also, computational intelligence techniques can be used to create shopping advisors, strategic planning based on scenario, modeling organizational structure and marketing strategies. Moreover, C.I. methodology can be adapted to design systems for planning product portfolio where usually companies struggle to make decisions for offering an optimal product bundle considering various attributes and combinations. C.I. techniques can also be utilized for developing customer behavior and preference models in order to cluster them into several categories and effectively predict market share. Demand and price can be forecasted to regulate and stabilize market fluctuations using computational intelligence based techniques. In addition, intelligent systems can be developed to predict financial failures of corporate and precautions can be adopted. Next, intelligent trading systems can study market behavior and predict profitable strategies for trading. Last but not the least, automated decision making attained by using several computational intelligence techniques in the above business management scenarios will enhance productivity, performance, and profit along with market expansion of organizations. This book will attempt to cover all aspects of business management including theoretical, empirical and experimental computational models as well as simulation of algorithms for optimizing business applications. This book is expected to be a resource for academics, researchers and practitioners working in the area of computational intelligence and its related business application.
The topics of interest although not limited to are as follows:

• Computational Aspects of Business Management
• Computational Economics
• Multi Criteria Decision Making
• Design, Analysis and Applications of Optimization Algorithms
• Dynamic, Stochastic and Combinatorial Optimization Models
• Econometrics
• Energy Economics
• Finance and Statistics
• Entropy Prediction in Energy Market
• Pricing Financial Derivatives
• Price optimization in Energy market
• Price risk mitigation strategies
• Data driven investment management
• Portfolio Management optimization
• Learning and Forecasting Demand Uncertainty
• Vehicle routing optimization
• Generic problems in logistic distribution networks
• Collaboration in decentralized distribution networks
• Supply chain scheduling and planning
• Supply Chain Resilience
• Transfer price optimization
• Work force planning
• Production planning
• Mathematical Modeling and Simulation
• Models and Tools of Knowledge Acquisition
• Neural Networks and Genetic Algorithms
• Operations Research
• Scheduling Planning
• Solution Algorithms
• Supply Chain Analytics
• Theoretical and Empirical Computational Models

As a profound researcher of this domain, I would like to invite you to contribute a chapter to this volume. Please send your abstract and full chapter as per the following dates:

Important Dates:
Submission of Full Chapter: 20th September2020
Notification of Acceptance: 10th October 2020
Camera-Ready Submission: 30th November 2020

Brief Profile of Editors
1. Prof. (Dr.) Srikanta Patnaik
Department of Computer Science and Engineering
SOA University, Bhubaneswar, Odisha, India

Dr. Srikanta Patnaik is a Professor in the Department of Computer Science and Engineering, SOA University, Bhubaneswar, India. He is also the Director, International Relation & Publication, SOA University, Bhubaneswar. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999 and supervised 12 Ph. D. theses and more than 30 M. Tech theses in the area of Machine Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 60 research papers in international journals and conference proceedings. He is author of 2 text books and edited 12 books and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. Dr. Patnaik was the Principal Investigator of TAPTEC project “Building Cognition for Intelligent Robot” sponsored by All India Council for Technical Education, New Delhi and Major Research Project “Machine Learning and Perception using Cognition Methods” sponsored by University Grant Commission. He is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and also Editors-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany.

2. Prof. (Dr.) Kayhan Tajeddini,
Professor of Strategic Management and International Business
Institute for International Strategy,
Tokyo International University,
Tokyo, Japan

Dr. Kayhan Tajeddini is a professor of Strategic Management and international business in Tokyo International Business. His research centers on strategic management, international management, innovation and entrepreneurship as well as strategic marketing. He has accumulated a breadth of teaching, research and industry experience in the international environment. He earned his Ph.D. (2007) in Strategic Management/Marketing from Bradford School of Management, UK with no correction (Distinction). Prior to joining TIU, he served, Lund University (as docent, associate professor) in Sweden, Ritsumeikan Asia Pacific University (APU) in Japan (as associate professor), Les Roches School of Hospitality Management and César Ritz Colleges in Switzerland and University of South Wales in the UK (as lecturer), and research assistant at Bradford University in the UK. Success in winning internal and external research grants indicates his ability to develop strong relationships with key stakeholders (Switzerland, Japan, UK, and Sweden). Teaching and working in different environments, He has liaised with different University and industry partners on their funded projects. He is Coordinating Editor of International Journal of Hospitality Management (Impact Factor: 4.465) (Elsevier), Editor-in-Chief of Middle East Journal of Management (Inderscience) (Indexed by Thomson Reuter), Editorial Board: Asia-Pacific Journal of Management Research and Innovation (Sage), Editor-in-Chief of Iranian Journal of Management and Science (Indexed by Thomson Reuter), and Editorial Board: Journal of Global Entrepreneurship Research (Springer). He has been Awarded for Excellence – 2016, Outstanding Author Contributions Emerald Literati (2016), Broman Postdoc Scholarship School of Business, University of Gothenburg, Sweden(2010), research award (one of the best papers) in Academy of marketing, UK (2005). He has received various research grants such as 2017-2021, Japan Society for the Promotion of Science (JSPS), Japan Government, (4,420,000JPY), 2013-2015– Ragnar Söderberg Foundation, Sweden (32,000,000 SKR), 2010-2011, Asia Pacific University, Japan (10,000,000 JPY) and 2008-2010, Les Roches, Switzerland (20,000 SFR)

3. Prof. (Dr.) Madjid Tavana
Professor and Distinguished Chair of Business Analytics
Chairman of the Business Systems and Analytics Department
La Salle University, Philadelphia, Pennsylvania

Dr. Madjid Tavana is Professor and Lindback Distinguished Chair of Business Analytics at La Salle University, where he serves as Chairman of the Business Systems and Analytics Department. He also holds an Honorary Professorship in Business Information Systems at the University of Paderborn in Germany. Dr. Tavana is Distinguished Research Fellow at the Kennedy Space Center, the Johnson Space Center, the Naval Research Laboratory at Stennis Space Center, and the Air Force Research Laboratory. He was recently honored with the prestigious Space Act Award by NASA. He holds an MBA, PMIS, and PhD in Management Information Systems and received his Post-Doctoral Diploma in Strategic Information Systems from the Wharton School at the University of Pennsylvania. He has published 12 books and over 250 research papers in international scholarly academic journals. He is the Editor-in-Chief of Decision Analytics, International Journal of Applied Decision Sciences, International Journal of Management and Decision Making, International Journal of Communication Networks and Distributed Systems, International Journal of Knowledge Engineering and Data Mining, International Journal of Strategic Decision Sciences and International Journal of Enterprise Information Systems.