1
|
Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis. SUSTAINABILITY 2022. [DOI: 10.3390/su14116672] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The supplier selection process is a strategic decision-making process that influences the company’s sustainability. Lately, the sustainability concept has been highlighted as an organization’s source of success and profitability. Therefore, the selection of a sustainable supplier has become an imperative for organizations and is the focus of this manuscript. Suppliers are key stakeholders in the supply chain, and their proper selection is a key factor in a successful and sustainable supply chain. For this reason, it is crucial to determine how and which methods are mostly used by companies when choosing sustainable suppliers with the aim of examining whether the Data Envelopment Analysis (DEA) contributes to the same. This article is the first to present a comprehensive bibliometric analysis of 87 articles dealing with the application of DEA in the sustainable supplier selection in the period 2010–2022, with the application of the keywords “Data Envelopment Analysis”, “Supplier”, and “Sustainable” in Scopus and Web of Science databases. The main goal of this manuscript is to explore the applications of DEA in a sustainable supplier selection and to provide an analysis and visualization of bibliometric data to reveal the annual trends of published articles in this area, the top contributing journals, the most cited papers, the most contributing authors, citations, affiliations, and countries’ analysis, and an in-depth keyword visualization analysis. The findings of this study provide valuable insights and emphasize the ever-growing trend toward the selection of sustainable partners and suppliers in business using DEA methodology. Notably, this work shows the applicability and efficacy of DEA in specialized areas of supply chain management and should contribute to the construction of an overview of the existing literature on DEA studies regarding the process of selection of sustainable suppliers in supply chain management as well as stimulate the interest in the topic. This article gives an overview of a research field that is actually insufficiently explored through the scientific literature and presents a wide area and guidelines for future work.
Collapse
|
2
|
Jiang ZZ, He N, Xiao L, Sheng Y. Government subsidy provision in biomass energy supply chains. ENTERP INF SYST-UK 2019. [DOI: 10.1080/17517575.2019.1658807] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Zhong-Zhong Jiang
- School of Business Administration, Northeastern University, Shenyang, China
- Institute of Behavioral and Service Operations Management, Northeastern University, Shenyang, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, China
| | - Na He
- School of Business Administration, Northeastern University, Shenyang, China
| | - Lei Xiao
- Business School, Hubei University, Wuhan, China
| | - Ying Sheng
- College of Sciences, Northeastern University, Shenyang, China
| |
Collapse
|
3
|
Jin C, Li F, Tsang EC, Bulysheva L, Kataev MY. A new compound arithmetic crossover-based genetic algorithm for constrained optimisation in enterprise systems. ENTERP INF SYST-UK 2015. [DOI: 10.1080/17517575.2015.1080302] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Chenxia Jin
- School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang 050018, China
| | - Fachao Li
- School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang 050018, China
| | - Eric C.C. Tsang
- Faculty of Information Technology, Macao university of science and technology, Macao, China
| | - Larissa Bulysheva
- Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA 23529, USA
| | - Mikhail Yu Kataev
- Department of Control systems, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia
| |
Collapse
|