Analyzing Job Performance Structural Model Using Decision Making Trail and Evaluation Laboratory Technique
ABSTRACT This study was designed to understand which factors influence job performance. In the first stage, theory structure of Mowday et al. and Mathieu & Zajac serves as the foundation of this research to submit awareness of employees of organization climate, job characteristics and role pressure as independent variables, and with organization commitment, job satisfaction, and involvement as mediate variables and job performance improvement model as dependent variables. This part would construct from structural equation model and verified the fitness of the model. In the second stage, the researcher aims at understanding what the key factors affecting job performance are under the overall structural model. We found that organizational climate is the most important influential role of job performance structural model. The study concludes with suggestion for key factors to give important ensuing research directions and suggestions to the academic and practice fields with the research results.
- [Show abstract] [Hide abstract]
ABSTRACT: Six Sigma is regarded as a well-structured methodology for improving the quality of processes and products. It helps achieve the company’s strategic goal through the effective use of project-driven approach. As Six Sigma is a project-driven methodology, it is essential to prioritize projects which provide maximum financial benefits to the organization. Generating and prioritizing the critical Six Sigma projects, however, are real challenges in practice. This study aims to develop a novel approach based on a combined ANP and DEMATEL technique to help companies determine critical Six Sigma projects and identify the priority of these projects especially in logistics companies. First of all the Six Sigma project evaluation dimension and components are determined. Decision Making Trial and Evaluation Laboratory (DEMATEL) approach is then applied to construct interrelations among criteria. The weights of criteria are obtained through analytic network process (ANP). An empirical case study from logistics industry is used to explore the effectiveness of the proposed approach.Expert Systems with Applications 08/2010; 37(8-37):5835-5847. DOI:10.1016/j.eswa.2010.02.022 · 1.97 Impact Factor