The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Core issues in sustainable supply chain management – a Delphi study
Abstract
Sustainable supply chain management has emerged as a growing topic, receiving increasing interest in the sustainability and supply chain management area. So far, the field is dominated by either case or survey based research. Few attempts have been made to take a broader look at the overarching issues, which form core topics of sustainable supply chain management. This paper presents the findings from a Delphi study where experts were asked to contribute their opinion. The Delphi study allows an aggregation of these opinions and extracts underlying topics in a structured manner. Four major topics were identified, which are (1) pressures and incentives for sustainable supply chain management, (2) identifying and measuring impacts on sustainable supply chain management, (3) supplier management (particularly addressing issues at the supplier–buyer interface) and (4) supply chain management (dealing with issues across all companies involved in the supply chain). The research presented contributes to substantiating and consolidating the field of sustainable supply chain management. Copyright © 2007 John Wiley & Sons, Ltd and ERP Environment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Content Analysis Guidebook
Neuendorf, K. A. (2017) · doi:10.4135/9781071802878 · Cited by 9,286
Corporate Social and Financial Performance: A Meta-Analysis
Orlitzky, M., Schmidt, F. L., & Rynes, S. L. (2003) · Organization Studies · doi:10.1177/0170840603024003910 · Cited by 7,641
Green purchasing practices of US firms
Min, H., & Galle, W. P. (2001) · International Journal of Operations & Production Management · doi:10.1108/eum0000000005923 · Cited by 745
Supply Chain Specific? Understanding the Patchy Success of Ethical Sourcing Initiatives
Roberts, S. (2003) · Journal of Business Ethics · doi:10.1023/a:1023395631811 · Cited by 472
Cited by
Can big data and predictive analytics improve social and environmental sustainability?
Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Luo, Z., Wamba, S. F., & Roubaud, D. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.06.020 · Cited by 860
Design of sustainable supply chains under the emission trading scheme
Chaabane, A., Ramudhin, A., & Paquet, M. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.10.025 · Cited by 813
Beiderbeck, D., Frevel, N., von der Gracht, H. A., Schmidt, S. L., & Schweitzer, V. M. (2021) · MethodsX · doi:10.1016/j.mex.2021.101401 · Cited by 642
Velte, P., & Stawinoga, M. (2017) · Journal of Management Control · doi:10.1007/s00187-016-0235-4 · Cited by 316
The relationship between sustainable procurement and e-procurement in the public sector
Walker, H., & Brammer, S. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.01.008 · Cited by 292
Metadata
- Authors
- Seuring, S., & Müller, M.
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2007-12-10
- Volume
- 17
- Issue
- 8
- Pages
- 455-466
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W2055401447
- Cited by
- 627
- References
- 4
- FWCI
- 22.94
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.