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.
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ABSTRACT: Internet evolution has affected all industrial and commercial activity and accelerated e-learning growth. Due to cost, time, or flexibility for designer courses and learners, e-learning has been adopted by corporations as an alternative training method. E-learning effectiveness evaluation is vital, and evaluation criteria are diverse. A large effort has been made regarding e-learning effectiveness evaluation; however, a generalized quantitative evaluation model, which considers both the interaffected relation between criteria and the fuzziness of subjective perception concurrently, is lacking. In this paper, the proposed new novel hybrid MCDM model addresses the independent relations of evaluation criteria with the aid of factor analysis and the dependent relations of evaluation criteria with the aid of DEMATEL. The AHP and the fuzzy integral methods are used for synthetic utility in accordance with subjective perception environment. Empirical experimental results show the proposed model is capable of producing effective evaluation of e-learning programs with adequate criteria that fit with respondent’s perception patterns, especially when the evaluation criteria are numerous and intertwined.Expert Systems with Applications 05/2007; · 1.97 Impact Factor
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ABSTRACT: A study of 532 scientists and engineers from 4 industrial research and development organizations showed that as hypothesized, the scientist–engineer distinction had a moderating effect on the relationships between job involvement and 1-year-later job-performance ratings and on counts of patents and publications. Scientists had stronger relationships between job involvement and each of the performance measures taken 1 year later than did engineers. No moderating effect was found for the scientist–engineer distinction on the relationships between organizational commitment and the performance measures. Moreover, no moderating effect was shown for an interaction term of job involvement and organizational commitment on the performance measures. Implications are discussed for theory building of the construct of job involvement and for the differential management of scientists versus engineers. (PsycINFO Database Record (c) 2012 APA, all rights reserved)Journal of Applied Psychology 07/1997; 82(4):539-545. · 4.31 Impact Factor