Skip to main content
Springer Nature Link
Log in

Decision Sciences

Second Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, June 6–7, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Angel A. Juan

    1. Universidad Politécnica de Valencia, Valencia, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Javier Faulin

    1. Public University of Navarre, Pamplona, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. David Lopez-Lopez

    1. ESADE Business School, Sant Cugat, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14778)

Included in the following conference series:

Conference proceedings info: DSA ISC 2024.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book constitutes the proceedings of the Second Decision Science Alliance International Summer Conference, DSA ISC 2024, held in Valencia, Spain, in June 2024.

The 33 full papers and 38 short papers included in this book were carefully reviewed and selected from 101 submissions.

At the core of DSA ISC’24 are in-depth discussions and analyses across a spectrum of technological domains. Notably, experts shared their knowledge on areas such as Artificial Intelligence & Machine Learning, Mathematical Optimization, Operational Research & Management Science, Statistics, Simulation, and Decision Processes Analysis. Each of these areas represents a key aspect of decision science, contributing to the interdisciplinary nature of the conference.

Keywords

Table of contents (36 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Management

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Combining LLMs and Simheuristics: An Application to the Project Portfolio Selection Problem

      • Miguel Saiz, Laura Calvet
      Pages 3-13

    3. Applying Machine Learning in Marketing: An Analysis Using the NMF and K-Means Algorithms

      • Victor Gallego, Alfons Freixes, Jessica Lingan
      Pages 14-26

    4. A Systematic Literature Review on Conversational AI’s Influence in Consumer Behavior

      • Marc Bara Iniesta, David López
      Pages 27-39

    5. Creativity, Innovation and Decision-Making in Marketing

      • Isa Moll, Jordi Montaña
      Pages 40-49

    6. AI-Boosted Decision Techniques for Strategy Formulation and Implementation

      • Lander Gamboa
      Pages 50-59

    7. Sustainable Optimization of Construction Project Portfolio Management Through a Data-Driven Approach

      • Marisa A. Lostumbo, Marc Bara Iniesta, Laura Calvet
      Pages 60-71

    8. Artificial Intelligence in Marketing Strategic Decisions via Product Portfolio Optimization

      • Patricia Rodriguez-Garcia, David Lopez-Lopez, Jon Ander Martin Solano
      Pages 72-83

    9. Challenges of Artificial Intelligence in Strategic Decisions: Talent Management

      • Sergio Carol, Patricia Rodriguez-Garcia
      Pages 84-91

    10. Tourist Routes Recommender System Supported by Artificial Intelligence

      • Cristina González-Navasa, José Andrés Moreno Pérez, Julio Brito
      Pages 92-106

    11. Using Data Analytics, Machine Learning, and KPIs for Urban Planning and Design

      • Veronika Tsertsvadze, Majsa Ammouriova, Trinidad Fernandez, Leon Kapetas
      Pages 107-117

    12. Product Portfolio Rationalization via SKU Deletion: A Framework

      • Seán McGarraghy, Terry Harrison, Nevil Kirwan, Peter Keenan
      Pages 118-128

    13. Decision Science for Personalized Medicine: Data-Driven and Model-Driven Methods

      • Pier Giorgio Villani
      Pages 129-137

    14. AI-Enhanced Decision-Making in Childhood Obesity Interventions

      • Raquel Soriano-Gonzalez, Noelia Fuster, Elena Perez-Bernabeu, Gonzalo Ros-Cervera
      Pages 138-150

    15. On the Evaluation of the Degree of Disability of the Elderly: A Case Study

      • Carlo Filippo Bonetta, Luca Alfredo Grossi, Giovanni Righini
      Pages 151-162

  3. Science

    1. Front Matter

      Pages 163-163
      Download chapter PDF

    2. Innovative Approaches to Analyze Truck Dwell Times in Seaport Environments

      • Airam Expósito-Márquez, Israel López-Plata, Christopher Expósito-Izquierdo
      Pages 165-170

    3. Emotion Recognition from Text and Audio Dataset Using Cumulative Attribute Graph Neural Networks (CA-GNN)

      • Hussein Farooq Tayeb Alsaadawi, Resul Das
      Pages 171-185

    4. Estimating Solid Waste Generation in Tenerife by Machine Learning Models

      • Alejandro Corbea-Pérez, Julio Brito, José Andrés Moreno-Pérez
      Pages 186-193
Back to top

Other volumes

  1. Decision Sciences

  2. Decision Sciences

Editors and Affiliations

  • Universidad Politécnica de Valencia, Valencia, Spain

    Angel A. Juan

  • Public University of Navarre, Pamplona, Spain

    Javier Faulin

  • ESADE Business School, Sant Cugat, Spain

    David Lopez-Lopez

Bibliographic Information

  • Book Title: Decision Sciences

  • Book Subtitle: Second Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, June 6–7, 2024, Proceedings, Part I

  • Editors: Angel A. Juan, Javier Faulin, David Lopez-Lopez

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-78238-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-78237-4Published: 01 February 2025

  • eBook ISBN: 978-3-031-78238-1Published: 30 January 2025

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 421

  • Number of Illustrations: 22 b/w illustrations, 115 illustrations in colour

  • Topics: Machine Learning

Publish with us

Policies and ethics

Back to top