| Title |
The Triple Bottom Line in Sustainable Supply Chain Management Frameworks and Their Gaps in the Period 2014-2022 |
| ID_Doc |
8689 |
| Authors |
Ribeiro, PCC; Amaral, PRB; Gomes, CFS; dos Santos, M |
| Title |
The Triple Bottom Line in Sustainable Supply Chain Management Frameworks and Their Gaps in the Period 2014-2022 |
| Year |
2022 |
| Published |
|
| DOI |
10.1007/978-3-031-14763-0_7 |
| Abstract |
This paper aims to offer a classification of frameworks, as well as a critical reading of gaps in Sustainable Supply Chain Management (SSCM) published from 2014 to 2022. SSCM leads companies to produce with minimum environmental impact. Besides, this production becomes economically feasible and socially responsible. Many authors present frameworks joining the SSCM subjects, following three dimensions of Triple Bottom Line (TBL). The research had three search phases in Scopus and Web of Science databases. After the definition of the research question and the strings, some filters were applied to select papers for the sample. An analysis of titles and abstracts reduces the number of papers. Within the papers, some gaps emerged. They are related to sectors, countries, the partners in a supply chain, information and communication technologies implementation, suppliers' assessment, Circular Economy in SSCM, social subjects, and risk. The economic dimension appears in a higher number of articles than other dimensions. Most frameworks integrate the three dimensions of Triple Bottom Line (TBL). Most of the papers that join the TBL dimensions in their frameworks were published from 2018 to 2022, and less than 10% of selected articles presented new dimensions. |
| Author Keywords |
Sustainable supply chain management; Triple Bottom Line; Frameworks |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000929603600007 |
| WoS Category |
Engineering, Industrial; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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