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Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence
The COVID-19 pandemic has resulted in a slew of new business practices that have put the society and environment under strain. This has drawn the attention of supply chain researchers working to address the COVID-19 pandemic's looming social sustainability issues. Prior literature has indicated...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434505/ https://www.ncbi.nlm.nih.gov/pubmed/36065428 http://dx.doi.org/10.1007/s10479-022-04875-1 |
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author | Bag, Surajit Choi, Tsan-Ming Rahman, Muhammad Sabbir Srivastava, Gautam Singh, Rajesh Kumar |
author_facet | Bag, Surajit Choi, Tsan-Ming Rahman, Muhammad Sabbir Srivastava, Gautam Singh, Rajesh Kumar |
author_sort | Bag, Surajit |
collection | PubMed |
description | The COVID-19 pandemic has resulted in a slew of new business practices that have put the society and environment under strain. This has drawn the attention of supply chain researchers working to address the COVID-19 pandemic's looming social sustainability issues. Prior literature has indicated that collaborative relationships improve organizational performance. Over the past years, problems related to justice are reported (e.g., between Walmart Canada and the Lego group), which might negatively affect the buyer–supplier relationship. In the new normal, the effect of justice on collaborative buyer–supplier relationships on social sustainability in the COVID-19 context is obviously essential but under-explored. The current study examines buyer–supplier collaborative relationships' influence on social sustainability under the moderating effect of justice and big data analytical intelligence. In this paper, we employ the stakeholder resource-based view, loose coupling theory, and resource dependency theory as the theoretical lens to establish the research hypotheses. Using primary survey data collected from supply chain practitioners in South Africa, hypothesis testing is done using a covariance-based structural equation modelling technique. To enhance research rigor, we have checked the dyadic perspectives of both buyers and suppliers. Our empirical results reveal that collaborative buyer–supplier relationships positively influence supplier social sustainability in the new normal era. However, it is relatively stronger from the suppliers’ perspective when compared with the buyers’ perspective. Secondly, the moderating effect of perceptions of organizational justice and big data analytical intelligence on the relationship between collaborative buyer–supplier relationships and supplier social sustainability is also statistically significant. However, it is relatively stronger from the buyers’ perspective when compared with the suppliers’ perspective. These are major findings of this study. Theoretical and managerial implications are further discussed. |
format | Online Article Text |
id | pubmed-9434505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-94345052022-09-01 Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence Bag, Surajit Choi, Tsan-Ming Rahman, Muhammad Sabbir Srivastava, Gautam Singh, Rajesh Kumar Ann Oper Res Original Research The COVID-19 pandemic has resulted in a slew of new business practices that have put the society and environment under strain. This has drawn the attention of supply chain researchers working to address the COVID-19 pandemic's looming social sustainability issues. Prior literature has indicated that collaborative relationships improve organizational performance. Over the past years, problems related to justice are reported (e.g., between Walmart Canada and the Lego group), which might negatively affect the buyer–supplier relationship. In the new normal, the effect of justice on collaborative buyer–supplier relationships on social sustainability in the COVID-19 context is obviously essential but under-explored. The current study examines buyer–supplier collaborative relationships' influence on social sustainability under the moderating effect of justice and big data analytical intelligence. In this paper, we employ the stakeholder resource-based view, loose coupling theory, and resource dependency theory as the theoretical lens to establish the research hypotheses. Using primary survey data collected from supply chain practitioners in South Africa, hypothesis testing is done using a covariance-based structural equation modelling technique. To enhance research rigor, we have checked the dyadic perspectives of both buyers and suppliers. Our empirical results reveal that collaborative buyer–supplier relationships positively influence supplier social sustainability in the new normal era. However, it is relatively stronger from the suppliers’ perspective when compared with the buyers’ perspective. Secondly, the moderating effect of perceptions of organizational justice and big data analytical intelligence on the relationship between collaborative buyer–supplier relationships and supplier social sustainability is also statistically significant. However, it is relatively stronger from the buyers’ perspective when compared with the suppliers’ perspective. These are major findings of this study. Theoretical and managerial implications are further discussed. Springer US 2022-09-01 /pmc/articles/PMC9434505/ /pubmed/36065428 http://dx.doi.org/10.1007/s10479-022-04875-1 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, 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 | Original Research Bag, Surajit Choi, Tsan-Ming Rahman, Muhammad Sabbir Srivastava, Gautam Singh, Rajesh Kumar Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence |
title | Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence |
title_full | Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence |
title_fullStr | Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence |
title_full_unstemmed | Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence |
title_short | Examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence |
title_sort | examining collaborative buyer–supplier relationships and social sustainability in the “new normal” era: the moderating effects of justice and big data analytical intelligence |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434505/ https://www.ncbi.nlm.nih.gov/pubmed/36065428 http://dx.doi.org/10.1007/s10479-022-04875-1 |
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