Quantitative Methods for Social Sciences, 2nd Edition

A special issue of Mathematics (ISSN 2227-7390).

Deadline for manuscript submissions: 31 January 2025 | Viewed by 2080

Special Issue Editors


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Guest Editor
Faculty of Economics and Business, University of Zaragoza, 50009 Zaragoza, Spain
Interests: quantitative social research; econometrics; economy; education; development economics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Applied Economics, University of Zaragoza, 50005 Zaragoza, Spain
Interests: economics of education; labour economics and environmental economics; applied econometrics; empirical microeconomics; public economics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

One of the most important contributions to social science during recent decades has been the attempt to move this academic discipline from a largely axiomatic and deductive discipline to a more empirical one. Nowadays, the methodologies through which researchers explore social issues, increasingly incorporate quantitative approaches.

The present Special Issue focuses on the publication of research studies that rely on the use of classical or novel applied mathematics techniques as the way of approaching the study of social issues in fields such as economics, education, psychology, sociology and political science. Authors are welcome to share the files which provide the full details of the calculations and experimental procedures used as supplementary material that accompany their works.

Potential topics include, but are not limited to, the following:

  • Applied mathematics;
  • Quantitative methods;
  • Statistics;
  • Social science;
  • Economics;
  • Education;
  • Psychology;
  • Sociology;
  • Political science.

Prof. Dr. Gregorio Giménez Esteban
Dr. Javier Valbuena
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

21 pages, 1991 KiB  
Article
Modelling of Passenger Satisfaction and Reuse Intention with Monorail Services in Kuala Lumpur, Malaysia: A Hybrid SEM-ANN Approach
by Ahmad Nazrul Hakimi Ibrahim, Muhamad Nazri Borhan, Muhamad Razuhanafi Mat Yazid, Sitti Asmah Hassan, Ahmad Firdhaus Arham and Sharizal Hashim
Mathematics 2023, 11(15), 3361; https://doi.org/10.3390/math11153361 - 1 Aug 2023
Cited by 2 | Viewed by 1575
Abstract
This study employs the fundamental concept of the American Customer Satisfaction Index (ACSI) model to explore the factors influencing passengers’ satisfaction with monorail service in Kuala Lumpur, Malaysia and their reuse intention. The study tests the hypotheses on 417 monorail passengers using a [...] Read more.
This study employs the fundamental concept of the American Customer Satisfaction Index (ACSI) model to explore the factors influencing passengers’ satisfaction with monorail service in Kuala Lumpur, Malaysia and their reuse intention. The study tests the hypotheses on 417 monorail passengers using a hybrid structural equation modelling based on parameter estimation of partial least squares (PLS-SEM) and an artificial neural network (ANN) method to estimate the proposed model. The results showed that the proposed model explains 70.4% and 59.5% of the variance in passenger satisfaction with the monorail service and reuse intention. The PLS-SEM results for Stage 1 showed that perceived quality and perceived value have a statistically significant influence on passenger satisfaction. Furthermore, all critical factors in the output from Stage 1 were used as the input in the ANN model to overcome the simplistic nature of the SEM model. The results for the ANN model (Stage 2) showed that perceived quality is the most crucial predictor of passenger satisfaction with the monorail service, followed by perceived quality. The outcomes of this study can help service providers, policymakers, and planners develop effective strategies for enhancing user satisfaction and improving monorail ridership. Full article
(This article belongs to the Special Issue Quantitative Methods for Social Sciences, 2nd Edition)
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