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New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques

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  • © 2021

Overview

Editors:
  1. Julian Andres Zapata-Cortes

    1. CEIPA Business School, Fundación Universitaria CEIPA, Sabaneta, Colombia

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  2. Giner Alor-Hernández

    1. Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Tecnológico Nacional de México, Orizaba, Mexico

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  3. Cuauhtémoc Sánchez-Ramírez

    1. Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Tecnológico Nacional de México, Orizaba, Mexico

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  4. Jorge Luis García-Alcaraz

    1. Autonomous University of Ciudad Juarez, Ciudad Juárez, Mexico

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  • Collects and consolidates innovative and high-quality research contributions regarding Enterprise Decision-Making applying Artificial Intelligence Techniques
  • Provides insights on the recent advances in Enterprise Decision-Making Applying Artificial Intelligence Techniques
  • Includes theoretical foundations, models, experimental research, and case studies for developing Intelligent Systems for Enterprise Decision-Making

Part of the book series: Studies in Computational Intelligence (SCI, volume 966)

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Table of contents (21 chapters)

  1. Artificial Intelligence Techniques

    1. Task Thesaurus as a Tool for Modeling of User Information Needs

      • J. Rogushina, A. Gladun
      Pages 385-403

    2. NHC_MDynamics: High-Throughput Tools for Simulations of Complex Fluids Using Nosé-Hoover Chains and Big Data Analytics

      • Luis Rolando Guarneros-Nolasco, Manuel Suárez-Gutiérrez, Jorge Mulia-Rodríguez, Roberto López-Rendón, Francisco Villanueva-Mejía, José Luis Sánchez-Cervantes
      Pages 405-434

    3. Determination of Competitive Management Perception in Family Business Leaders Using Data Mining

      • Ángel Rodrigo Vélez-Bedoya, Liliana Adriana Mendoza-Saboyá, Jenny Lorena Luna-Eraso
      Pages 435-462

    4. A Genetic Algorithm for Solving the Inventory Routing Problem with Time Windows

      • Julian Andres Zapata-Cortes, Martin Darío Arango-Serna, Conrado Augusto Serna-Úran, Hermenegildo Gil-Gómez
      Pages 463-481

    5. Emotion Detection from Text in Learning Environments: A Review

      • Maritza Bustos-López, Nicandro Cruz-Ramírez, Alejandro Guerra-Hernández, Laura Nely Sánchez-Morales, Giner Alor-Hernández
      Pages 483-508
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Keywords

About this book

This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. 

This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.  

Editors and Affiliations

  • CEIPA Business School, Fundación Universitaria CEIPA, Sabaneta, Colombia

    Julian Andres Zapata-Cortes

  • Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Tecnológico Nacional de México, Orizaba, Mexico

    Giner Alor-Hernández, Cuauhtémoc Sánchez-Ramírez

  • Autonomous University of Ciudad Juarez, Ciudad Juárez, Mexico

    Jorge Luis García-Alcaraz

Bibliographic Information

  • Book Title: New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques

  • Editors: Julian Andres Zapata-Cortes, Giner Alor-Hernández, Cuauhtémoc Sánchez-Ramírez, Jorge Luis García-Alcaraz

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-71115-3

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

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

  • Hardcover ISBN: 978-3-030-71114-6Published: 08 June 2021

  • Softcover ISBN: 978-3-030-71117-7Published: 09 June 2022

  • eBook ISBN: 978-3-030-71115-3Published: 07 June 2021

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXXVIII, 508

  • Number of Illustrations: 49 b/w illustrations, 180 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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