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Is it an opportunity? COVID-19’s effect on the green supply chains, and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector
This study examines the relationship between uncertainty-fear toward COVID-19, green supply chain management (GSCM), and perceived service quality based on the five dimensions service quality model (SERVQUAL). It also tests the moderating effect of big data analytics (BDA) capabilities. Based on a s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510201/ https://www.ncbi.nlm.nih.gov/pubmed/36152097 http://dx.doi.org/10.1007/s11356-022-23173-8 |
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author | Kholaif, Moustafa Mohamed Nazief Haggag Kotb Xiao, Ming |
author_facet | Kholaif, Moustafa Mohamed Nazief Haggag Kotb Xiao, Ming |
author_sort | Kholaif, Moustafa Mohamed Nazief Haggag Kotb |
collection | PubMed |
description | This study examines the relationship between uncertainty-fear toward COVID-19, green supply chain management (GSCM), and perceived service quality based on the five dimensions service quality model (SERVQUAL). It also tests the moderating effect of big data analytics (BDA) capabilities. Based on a sample of 300 healthcare managers and customers, we used partial least squares structural equation modeling to analyze the data and test our hypotheses. The empirical results show that the uncertainty-fear toward COVID-19 positively affects GSCM. Also, BDA moderates the relationship between uncertainty-fear toward COVID-19 and GSCM. GSCM positively impacts service quality (empathy, responsiveness, and assurance) but not reliability or tangible items. In addition, GSCM significantly mediates the relationship between uncertainty-fear toward COVID-19 and services’ empathy, responsiveness, and assurance. However, it has an insignificant mediation effect regarding reliability and tangible-item dimensions. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-9510201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-95102012022-09-26 Is it an opportunity? COVID-19’s effect on the green supply chains, and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector Kholaif, Moustafa Mohamed Nazief Haggag Kotb Xiao, Ming Environ Sci Pollut Res Int Research Article This study examines the relationship between uncertainty-fear toward COVID-19, green supply chain management (GSCM), and perceived service quality based on the five dimensions service quality model (SERVQUAL). It also tests the moderating effect of big data analytics (BDA) capabilities. Based on a sample of 300 healthcare managers and customers, we used partial least squares structural equation modeling to analyze the data and test our hypotheses. The empirical results show that the uncertainty-fear toward COVID-19 positively affects GSCM. Also, BDA moderates the relationship between uncertainty-fear toward COVID-19 and GSCM. GSCM positively impacts service quality (empathy, responsiveness, and assurance) but not reliability or tangible items. In addition, GSCM significantly mediates the relationship between uncertainty-fear toward COVID-19 and services’ empathy, responsiveness, and assurance. However, it has an insignificant mediation effect regarding reliability and tangible-item dimensions. GRAPHICAL ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2022-09-24 2023 /pmc/articles/PMC9510201/ /pubmed/36152097 http://dx.doi.org/10.1007/s11356-022-23173-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Kholaif, Moustafa Mohamed Nazief Haggag Kotb Xiao, Ming Is it an opportunity? COVID-19’s effect on the green supply chains, and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector |
title | Is it an opportunity? COVID-19’s effect on the green supply chains, and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector |
title_full | Is it an opportunity? COVID-19’s effect on the green supply chains, and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector |
title_fullStr | Is it an opportunity? COVID-19’s effect on the green supply chains, and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector |
title_full_unstemmed | Is it an opportunity? COVID-19’s effect on the green supply chains, and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector |
title_short | Is it an opportunity? COVID-19’s effect on the green supply chains, and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector |
title_sort | is it an opportunity? covid-19’s effect on the green supply chains, and perceived service’s quality (servqual): the moderate effect of big data analytics in the healthcare sector |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510201/ https://www.ncbi.nlm.nih.gov/pubmed/36152097 http://dx.doi.org/10.1007/s11356-022-23173-8 |
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