Casual Factor Study Influenced to Organizational Commitment of Generation of Y Personnel Working in Energy Business and Public Utility in Thailand
รหัสดีโอไอ
Creator Kanyarat Thiratanachaiyakul
Title Casual Factor Study Influenced to Organizational Commitment of Generation of Y Personnel Working in Energy Business and Public Utility in Thailand
Publisher AJMI
Publication Year 2559
Journal Title ASEAN Journal of Management & Innovation
Journal Vol. 3
Journal No. 2
Page no. 122-138
Keyword Organizational Commitment, Generation of Y, Energy Business and Public Utility in Thailand
ISSN 2351-0307
Abstract This research aimed to study the casual factor influenced to organizational commitment of Generation of Y Personnel working in Energy Business and Public Utility in Thailand as well as examining the direct, indirect and overall impacts of organizational commitment model. Samples were 300 generation Y personnel working in Energy Business and The findings suggest that organizational commitment of Generation of Y Personnel working in Energy Business and Public Utility in Thailand had been impacted by outcomes of non-parametric statistic, having Chi-Square equals to 8.77 at the Degrees of Freedom 11, and the probability near 1 (p = 0.64291). Chi-Square showed no statistical significance, whereas GFI and AGFI equal to 1.00 and .96, respectively, indicating the acceptance of main hypothesis in which the research model had passed Goodness of fit test with the empirical evidence and Total Effect on commitment to organization comprised of LEAD, with the effect of .63, and leading job satisfaction (JSAT), OCLI effect equal to.38 and .37, respectively. With regards to Direct Effect, the findings suggest that job satisfaction (JSAT) had the direct effect on commitment to organization (CORG) with the effect of .38, followed by Executive Leadership (LEAD) and the effect of Organization Climate (OCLI) equal to .32 and .31, respectively. The findings also suggest the casual factor explanation on the variation of commitment to organization as much as 84.00 percent (R2 = 0.84) and the structural equation CORG = 0.38(JSAT) + 0.31(OCLI) + 0.32(LEAD).Public Utility in Thailand. Data were collected with questionnaires and subjected to Confirmatory Factor analysis and compiled results with Statistical Program SPSS, having the statistical significance 0.05. Statistical methods involved Frequency, Percentage, Mean, Standard Deviation, including Goodness of fit test with the empirical evidence.
ASEAN Journal of Management and Innovation

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