The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: a collaborative decision-making approach
Open accessAbstract
The purpose of this paper is to delineate a green supply chain (GSC) performance measurement framework using an intra-organisational collaborative decision-making (CDM) approach. A fuzzy analytic network process (ANP)-based green-balanced scorecard (GrBSc) has been used within the CDM approach to assist in arriving at a consistent, accurate and timely data flow across all cross-functional areas of a business. A green causal relationship is established and linked to the fuzzy ANP approach. The causal relationship involves organisational commitment, eco-design, GSC process, social performance and sustainable performance constructs. Sub-constructs and sub-sub-constructs are also identified and linked to the causal relationship to form a network. The fuzzy ANP approach suitably handles the vagueness of the linguistics information of the CDM approach. The CDM approach is implemented in a UK-based carpet-manufacturing firm. The performance measurement approach, in addition to the traditional financial performance and accounting measures, aids in firm’s decision-making with regard to the overall organisational goals. The implemented approach assists the firm in identifying further requirements of the collaborative data across the supply-cain and information about customers and markets. Overall, the CDM-based GrBSc approach assists managers in deciding if the suppliers’ performances meet the industry and environment standards with effective human resource.
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Zimmer, K., Fröhling, M., & Schultmann, F. (2016) · International Journal of Production Research · doi:10.1080/00207543.2015.1079340 · Cited by 445
Does green finance really deliver what is expected? An empirical perspective
Khan, M. A., Riaz, H., Ahmed, M., & Saeed, A. (2022) · Borsa Istanbul Review · doi:10.1016/j.bir.2021.07.006 · Cited by 355
Mio, C., Costantini, A., & Panfilo, S. (2022) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.2206 · Cited by 300
A framework to overcome barriers to green innovation in SMEs using BWM and Fuzzy TOPSIS
Gupta, H., & Barua, M. K. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.03.173 · Cited by 294
Measuring servitization progress and outcome: the case of ‘advanced services’
Ziaee Bigdeli, A., Baines, T., Schroeder, A., Brown, S., Musson, E., Guang Shi, V., & Calabrese, A. (2018) · Production Planning & Control · doi:10.1080/09537287.2018.1429029 · Cited by 79
Metadata
- Authors
- Bhattacharya, A., Mohapatra, P., Kumar, V., Dey, P. K., Brady, M., Tiwari, M. K., & Nudurupati, S. S.
- Venue
- Production Planning & Control
- Publisher
- Informa UK Limited
- Published
- 2013-06-06
- Volume
- 25
- Issue
- 8
- Pages
- 698-714
- ISSN
- 0953-7287 (ISSN-L)
- 1366-5871
- OpenAlex
- W2061993807
- Cited by
- 277
- References
- 55
- FWCI
- 64.67
- Type
- journal article
- Language
- en
- Open access
- green
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- Bhattacharya, A., Mohapatra, P., Kumar, V., Dey, P. K., Brady, M., Tiwari, M. K., & Nudurupati, S. S. (2014). Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: a collaborative decision-making approach. Production Planning & Control. https://doi.org/10.1080/09537287.2013.798088
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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.