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Computational Management

Applications of Computational Intelligence in Business Management

  • Book
  • © 2021

Overview

Editors:
  1. Srikanta Patnaik

    1. Department of Computer Science and Engineering, Faculty of Engineering, SOA University, Bhubaneswar, India

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  2. Kayhan Tajeddini

    1. Strategic Management and International Business, Tokyo Institute of Technology, Tokyo, Japan

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    You can also search for this editor in PubMed   Google Scholar

  3. Vipul Jain

    1. School of Management, Victoria University of Wellington, Wellington, New Zealand

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  • Reports on cutting-edge applications of computational intelligence to business and finance
  • Describes techniques for modeling, forecasting and decision making
  • Cover methods for effective supply chain scheduling

Part of the book series: Modeling and Optimization in Science and Technologies (MOST, volume 18)

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Table of contents (32 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Computational Modelling

    1. Front Matter

      Pages 1-1
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    2. Computational Management—An Overview

      • Pragyan Nanda, Deepti Patnaik, Srikanta Patnaik
      Pages 3-21

    3. Mathematical and Computational Approaches for Stochastic Control of River Environment and Ecology: From Fisheries Viewpoint

      • Hidekazu Yoshioka
      Pages 23-51

    4. Models and Tools of Knowledge Acquisition

      • Rojers P. Joseph, T. M. Arun
      Pages 53-67

    5. Profits Are in the Eyes of the Beholder: Entropy-Based Volatility Indicators and Portfolio Rotation Strategies

      • Abhijeet Chandra, Gaurav Jadhao
      Pages 69-95

    6. Asymmetric Spillovers Between the Stock Risk Series: Case of CESEE Stock Markets

      • Tihana Škrinjarić
      Pages 97-135

    7. Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model

      • Tiwari Siddharth, Yash Daultani, R. Rajesh
      Pages 137-157

    8. The Effects of Oil Shocks on Macroeconomic Uncertainty: Evidence from a Large Panel Dataset of US States

      • Rangan Gupta, Xin Sheng
      Pages 159-175

    9. Understanding and Predicting View Counts of YouTube Videos Using Epidemic Modelling Framework

      • Adarsh Anand, Mohammed Shahid Irshad, Deepti Aggrawal
      Pages 177-194

    10. Gross Domestic Product Modeling Using “Panel-Data” Concept

      • Sarada Ghosh, G. P. Samanta
      Pages 195-218

    11. Supply Chain Scheduling Using an EOQ Model for a Two-Stage Trade Credit Financing with Dynamic Demand

      • Alok Kumar
      Pages 219-230

    12. Software Engineering Analytics—The Need of Post COVID-19 Business: An Academic Review

      • Somayya Madakam, Rajeev K. Revulagadda
      Pages 231-251

    13. The Rise and Fall of the SCOR Model: What After the Pandemic?

      • Nteboheng Pamella Phadi, Sonali Das
      Pages 253-273
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Keywords

About this book

This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.

Editors and Affiliations

  • Department of Computer Science and Engineering, Faculty of Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  • Strategic Management and International Business, Tokyo Institute of Technology, Tokyo, Japan

    Kayhan Tajeddini

  • School of Management, Victoria University of Wellington, Wellington, New Zealand

    Vipul Jain

Bibliographic Information

  • Book Title: Computational Management

  • Book Subtitle: Applications of Computational Intelligence in Business Management

  • Editors: Srikanta Patnaik, Kayhan Tajeddini, Vipul Jain

  • Series Title: Modeling and Optimization in Science and Technologies

  • DOI: https://doi.org/10.1007/978-3-030-72929-5

  • Publisher: Springer Cham

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-72928-8Published: 30 May 2021

  • Softcover ISBN: 978-3-030-72931-8Published: 31 May 2022

  • eBook ISBN: 978-3-030-72929-5Published: 29 May 2021

  • Series ISSN: 2196-7326

  • Series E-ISSN: 2196-7334

  • Edition Number: 1

  • Number of Pages: XVIII, 682

  • Number of Illustrations: 54 b/w illustrations, 114 illustrations in colour

  • Topics: Computational Intelligence, Computer Science, general, Optimization

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