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dc.contributor.authorVatankhah, Sanaz
dc.contributor.authorDarvishi, Maryam
dc.date.accessioned2022-03-17T11:58:01Z
dc.date.available2022-03-17T11:58:01Z
dc.date.issued2021-12-12
dc.identifier.citationVatankhah S, Darvishi M (2021) 'Unpacking solutions to counterproductive work behavior using hybrid fuzzy MCDM', Service Industries Journal, 42 (15-16), pp.1123-1150.en_US
dc.identifier.issn0264-2069
dc.identifier.doi10.1080/02642069.2021.2012164
dc.identifier.urihttp://hdl.handle.net/10547/625353
dc.description.abstractCounterproductive work behavior has long been a concerning issue for organizations. Specially service organizations, including airlines, seem to confront the prevalence of such negative work behavior. Nevertheless, a general guideline to curb counter-productivity does not exist. In light of fuzzy theory, this study applied fuzzy Delphi and fuzzy analytical hierarchy process to develop a hierarchical evaluation index to identify and rank strategic solutions to cope with counterproductive work behavior in the airline industry. The results revealed that ethical concerns and ethical leadership are the most critical coping strategic criteria and sub-criteria, respectively. This study advances the current knowledge in counterproductive work behavior literature and offers a managerial toolbox to manage and reduce such behavior in the airline industry.en_US
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.relation.urlhttps://www.tandfonline.com/doi/full/10.1080/02642069.2021.2012164en_US
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF
dc.subjectfuzzy logicen_US
dc.titleUnpacking solutions to counterproductive work behavior using hybrid fuzzy MCDMen_US
dc.typeArticleen_US
dc.identifier.journalService Industries Journalen_US
dc.date.updated2022-03-17T11:56:40Z
dc.description.noteneeds full text file - researcher contacted 17/12/21 RVO over 3m from acceptance, passing metadata only 17/3/22 RVO


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