Evaluating the performance of oil and gas companies by an extended balanced scorecard and the hesitant fuzzy best-worst method

dc.contributor.authorYazdi, Amir Karbassi
dc.contributor.authorMehdiabadi, Amir
dc.contributor.authorHanne, Thomas
dc.contributor.authorSarfaraz, Amir Homayoun
dc.contributor.authorYazdian, Fatemeh Tabatabaei
dc.date.accessioned2025-01-24T09:12:14Z
dc.date.issued2022
dc.description.abstractThe aim of this research is to find and prioritize a multicriteria performance measurement based on the balanced scorecard (BSC) for oil and gas (O & G) companies in an uncertain environment using the hesitant fuzzy best-worst method (HFBWM). The O & G industry has a key role in the economies of many countries. Hence, the evaluation of the performance of the O & G industry plays an important role. We utilize BSC for this purpose, which usually considers the financial, customer-oriented, internal, learning-oriented, and growth perspectives. In our research, the social responsibility perspective will be added. After finding multiple performance measurements, many companies cannot implement all of them because of limited resources. Therefore, multicriteria decision-making (MCDM) methods can be applied for prioritizing and selecting the most important measurement criteria. One of the MCDM methods is the best-worst method (BWM). This approach has several advantages compared to other MCDM methods. Due to uncertainties in decision-making, a suitable method for decision-making in an uncertain environment is necessary. Hesitant fuzzy approaches are applied as one such uncertainty-based method in this research. Our results indicate that among the five perspectives of BSC that we considered, the customer and internal process perspectives are the most important ones, and the cost of the R & D indicator is the most important subcriterion among these.
dc.identifier.doi10.1155/2022/1019779
dc.identifier.issn1563-5147
dc.identifier.issn1024-123X
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/48212
dc.identifier.urihttps://doi.org/10.26041/fhnw-10927
dc.issue1
dc.language.isoen
dc.publisherHindawi
dc.relation.ispartofMathematical Problems in Engineering
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.spatialLondon
dc.subject.ddc330 - Wirtschaft
dc.titleEvaluating the performance of oil and gas companies by an extended balanced scorecard and the hesitant fuzzy best-worst method
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume2022
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryGold
fhnw.pagination019779
fhnw.publicationStatePublished
relation.isAuthorOfPublication35d8348b-4dae-448a-af2a-4c5a4504da04
relation.isAuthorOfPublication.latestForDiscovery35d8348b-4dae-448a-af2a-4c5a4504da04
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