Decision-making on job satisfaction improvement programmes using fuzzy QFD model: a case study in Ethiopia

Abstract

Research interest in job satisfaction (JS) seems solely focused on cause identification. Understandings about solution proposals have not advanced at a pace commensurate with research efforts. The purpose of the current study is twofold. First, the study aims to propose the possible solutions for the improvement of JS in the leather products manufacturing industry in Ethiopia. Second, the study aims to demonstrate the fuzzy quality function deployment (QFD) model in the sphere of JS construct with an attempt to prioritise JS improvement programmes. At first, to facilitate the main issue of the QFD problem, the ‘WHATs’ (i.e. JS attributes) have been investigated, followed by identifying the ‘HOWs’ (i.e. JS technical solutions) and proposing procedures for the use of a fuzzy QFD model. Subsequently, a fuzzy relationship matrix (i.e. the house of quality) is constructed to link the WHATs and HOWs based on cross-functional expertise. Then, the rank of HOWs for their order of implementation is identified. The successful application of the fuzzy QFD has provided an idea with attention focused on ‘remuneration packages’ followed by ‘incentive packages’ and then ‘participating in decision-making’. This finding is important for the industry for making optimal decisions on the implementation of JS improvement strategies.