Unpacking solutions to counterproductive work behavior using hybrid fuzzy MCDM

Abstract

Counterproductive 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.