The DOI matches its Crossref record; 157 of the 157 references it cites were found in a registry or an index.
Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development
Abstract
In the last two decades, pressure from various stakeholders has forced many companies to establish environmental and social improvements both in their company and their supply chains. The growing number of journal publications and conference proceedings confirms this change also in academia. The aim of this paper is to analyse and review scientific literature on sustainable supplier management (SSM) with a focus on formal models supporting decision-making in sustainable supplier selection, monitoring and development. For this purpose, a framework on SSM is proposed and a comprehensive content analysis including a criteria analysis is carried out. Beyond this, in total 143 peer-reviewed publications between 1997 and 2014 have been analysed to identify both established and overlooked research fields. Major findings are the rapidly growing interest of this topic in academia in recent years, the predominance of Analytic Hierarchy Process, Analytic Network Process and fuzzy-based approaches, the focus on the final evaluation and selection process step and the rare investigation of social and quantitative metrics. This review may be useful for practitioners and scientists as it outlines major characteristics in this field, which can serve as a basis for further research.
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Cites
Cannibals with forks: the triple bottom line of 21st century business
(1999) · Choice Reviews Online · doi:10.5860/choice.36-3997 · Cited by 9,014
From a literature review to a conceptual framework for sustainable supply chain management
Seuring, S., & Müller, M. (2008) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2008.04.020 · Cited by 6,341
Partnerships from cannibals with forks: The triple bottom line of 21st‐century business
Elkington, J. (1998) · Environmental Quality Management · doi:10.1002/tqem.3310080106 · Cited by 5,341
Multiple Criteria Decision Analysis: State of the Art Surveys
Figueira, J., Greco, S., & Ehrogott, M. (2005) · International Series in Operations Research & Management Science · doi:10.1007/b100605 · Cited by 4,491
A framework of sustainable supply chain management: moving toward new theory
Carter, C. R., & Rogers, D. S. (2008) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600030810882816 · Cited by 4,085
Mathematical Problems in Engineering
(2022) · Mathematical Problems in Engineering · doi:10.1155/2629 · Cited by 4,033
Green supply-chain management: a state-of-the-art literature review
Srivastava, S. K. (2007) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2007.00202.x · Cited by 3,984
Polish journal of environmental studies
Ryczkowski, J. (1993) · Applied Catalysis A: General · doi:10.1016/0926-860x(93)80167-o · Cited by 3,982
International Journal of Applied Engineering Research
(2022) · International Journal of Applied Engineering Research · doi:10.37622/ijaer · Cited by 3,176
Issues in Supply Chain Management
Lambert, D. M., & Cooper, M. C. (2000) · Industrial Marketing Management · doi:10.1016/s0019-8501(99)00113-3 · Cited by 3,099
Cited by
Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method
Memari, A., Dargi, A., Akbari Jokar, M. R., Ahmad, R., & Abdul Rahim, A. R. (2019) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.11.002 · Cited by 555
Sustainable Supplier Evaluation: From Current Criteria to Reconstruction Based on ESG Requirements
Lou, S., You, X., & Xu, T. (2024) · Sustainability · doi:10.3390/su16020757 · Cited by 26
Metadata
- Authors
- Zimmer, K., Fröhling, M., & Schultmann, F.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2015-09-28
- Volume
- 54
- Issue
- 5
- Pages
- 1412-1442
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2177435376
- Cited by
- 445
- References
- 157
- FWCI
- 53.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.