Effect of Social Sustainability on Supply Chain Resilience Before, During, and After the COVID-19 Pandemic in Mexico: A Partial Least Squares Structural Equation Modeling and Evolutionary Fuzzy Knowledge Transfer Approach

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:29:40Z
Fecha de publicación2025-01-01
ResumenRecent disruptions have led to a growing interest in studying the social dimension of sustainability and its relationship to resilience within supply chains. Social sustainability is characterized as complex, often offering anomalous data and confounding variables that are impossible to categorically define as true or false axioms. This work starts from an epistemological premise, in which non-parametric statistical methodologies and mathematical analytics are complementary perspectives to comprehensively understand the same social phenomenon. Second-generation predictive statistics, such as the PLS-SEM algorithm, have demonstrated robustness in treating multivariate social information, making it feasible to prepare data for knowledge transfer with mathematical techniques specialized for fuzzy data. This research aimed to analyze evolutionary fuzzy knowledge transfer pre-, during-, and post-pandemic COVID-19, and its effect on the relationship between social sustainability and supply chain resilience in representative cases from Mexico. Based on empirical data collected from supply chain managers in 2019 (n = 153), 2021 (n = 159), and 2023 (n = 119), the methodological technique involved three phases: (1) PLS-SEM modeling, (2) fuzzy-evolutionary predictive evaluation based on knowledge transfer between latent data, and (3) comparative analysis of the predictive effects of social attributes (labor rights, health and safety, inclusion, and social responsibility) on supply chain resilience. The results found a moderate significant variance in the pre-in-post-COVID-19 effect of social dimensions on supply chain resilience. Social and management implications are presented.es_ES
Doihttps://doi.org/10.3390/logistics9020050es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/1653
Idiomaeses_ES
EditorialMDPI AGes_ES
RelaciónLogisticses_ES
URL relacionadohttps://doi.org/10.3390/logistics9020050es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteLogistics
TítuloEffect of Social Sustainability on Supply Chain Resilience Before, During, and After the COVID-19 Pandemic in Mexico: A Partial Least Squares Structural Equation Modeling and Evolutionary Fuzzy Knowledge Transfer Approaches_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorReyna-Castillo, Miguel
AutorSantiago, Alejandro
AutorBarrios-del-Ángel, Ana Xóchitl
AutorGarcía-Reyes, Francisco Manuel
AutorBalderas, Fausto
AutorAnchondo-Pérez, José Ignacio
AutorReyna-Castillo, Migueles_ES
AutorSantiago, Alejandroes_ES
AutorBarrios-del-Ángel, Ana Xóchitles_ES
AutorGarcía-Reyes, Francisco Manueles_ES
AutorBalderas, Faustoes_ES
AutorAnchondo-Pérez, José Ignacioes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número2es_ES
Rango de páginas50es_ES
URL relacionadahttps://doi.org/10.3390/logistics9020050
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen9es_ES

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