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Structural equation modeling analysis of queuing system performance at Thailand's provincial electricity authority (PEA)
Author(s)
Date Issued
March 19, 2014
Type
Article
Abstract
This study is an analysis using Structural Equation Modeling on the queuing performance management of Thailand's Provincial Electricity Authority (PEA) which is a government agency organizing production and distribution of electricity being delivered to the public. Due to the growing numbers of businesses and industries in the provinces, PEA's 73 sales offices are vital to the stability of Thailand. Research methodologies used within this study include both quantitative and qualitative research. Quantitative is further qualified in this research essay from the survey given to 344 PEA executives. The Partial Least Square (PLS) technique, a form of structural equation modeling, is additionally used due to it being component-based rather than covariance-based. Additionally, qualitative research is supported by input from questionnaires from 10 key Thai PEA officials utilizing the purposive sampling approach. The results showed that three factors had an immediate and positive impact on management innovation, including the management performance, organizational factors and management innovation. Furthermore, there was also an immediate and positive impact on queuing performance management of the PEA. A fact recognized by a hypothesis significance p<0.01, respectively, with the results of qualitative research being consistent with the results of quantitative research. The findings from this study concluded that if an organization has a good enterprise management system, management innovation and organizational performance increases. © 2014 Academic Journals Inc.
Citation
Research Journal of Business Management, 8(1), 57-69, 2014
