Theory of binary-valued data envelopment analysis: an application in assessing the sustainability of suppliers

Karimi, B; Azadi, M; Farzipoor Saen, R; Fosso Wamba, S

Theory of binary-valued data envelopment analysis: an application in assessing the sustainability of suppliers

Karimi, B Azadi, M Farzipoor Saen, R Fosso Wamba, S

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Publisher:: Emerald
Publication Type:: Journal Article
Citation:: Industrial Management and Data Systems, 2022, 122, (3), pp. 682-701
Issue Date:: 2022-03-15

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Field	Value	Language
dc.contributor.author	Karimi, B
dc.contributor.author	Azadi, M
dc.contributor.author	Farzipoor Saen, R
dc.contributor.author	Fosso Wamba, S
dc.date.accessioned	2023-03-20T01:12:25Z
dc.date.available	2023-03-20T01:12:25Z
dc.date.issued	2022-03-15
dc.identifier.citation	Industrial Management and Data Systems, 2022, 122, (3), pp. 682-701
dc.identifier.issn	0263-5577
dc.identifier.uri	http://hdl.handle.net/10453/167684
dc.description.abstract	Purpose: The objective of this study is to present a binary-valued data envelopment analysis (DEA) theory. The authors’ proposed approach, for the first time, combines binary-valued and integer-valued theories concurrently in the DEA context. To do so, new production possibility sets (PPSs) with some distinguished features are developed. Design/methodology/approach: The authors address integer inputs and outputs in the proposed approach by introducing a new PPS. Findings: To take into account the binary data, the authors develop axiomatic DEA principles. The binary production principles guarantee any combination of convexity and feasibility. Furthermore, the authors develop a new DEA model to consider integer and real data. A case study is presented to show the usefulness of the developed models. Using the proposed models, the authors obtained benchmarks to solve the sustainable supplier selection problems. Originality/value: (1) For the first time, binary-valued and integer-valued theories are presented in an integrated DEA model. (2) To deal with the pure binary data, a new PPS is proposed. (3) To consider real, integer and binary data, a new PPS is introduced. (4) New technologies are developed to propose feasible solutions. (5) The proposed models can project inefficient decision-making units (DMUs) on efficiency frontier given binary, integer and real data. (6) A case study is given for the performance evaluation of sustainable suppliers.
dc.language	en
dc.publisher	Emerald
dc.relation.ispartof	Industrial Management and Data Systems
dc.relation.isbasedon	10.1108/IMDS-09-2021-0555
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0806 Information Systems
dc.subject.classification	Business & Management
dc.title	Theory of binary-valued data envelopment analysis: an application in assessing the sustainability of suppliers
dc.type	Journal Article
utslib.citation.volume	122
utslib.for	0803 Computer Software
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-20T01:12:11Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	122
utslib.citation.issue	3

Abstract:

Purpose: The objective of this study is to present a binary-valued data envelopment analysis (DEA) theory. The authors’ proposed approach, for the first time, combines binary-valued and integer-valued theories concurrently in the DEA context. To do so, new production possibility sets (PPSs) with some distinguished features are developed. Design/methodology/approach: The authors address integer inputs and outputs in the proposed approach by introducing a new PPS. Findings: To take into account the binary data, the authors develop axiomatic DEA principles. The binary production principles guarantee any combination of convexity and feasibility. Furthermore, the authors develop a new DEA model to consider integer and real data. A case study is presented to show the usefulness of the developed models. Using the proposed models, the authors obtained benchmarks to solve the sustainable supplier selection problems. Originality/value: (1) For the first time, binary-valued and integer-valued theories are presented in an integrated DEA model. (2) To deal with the pure binary data, a new PPS is proposed. (3) To consider real, integer and binary data, a new PPS is introduced. (4) New technologies are developed to propose feasible solutions. (5) The proposed models can project inefficient decision-making units (DMUs) on efficiency frontier given binary, integer and real data. (6) A case study is given for the performance evaluation of sustainable suppliers.

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http://hdl.handle.net/10453/167684