2022
DOI: 10.52731/lbds.v001.020
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Factors Affecting Employee Engagement Based on an Employee Attitude Survey in Japan

Abstract: Japanese companies are beginning to recognize the importance of employee engagement. However, many companies have not been able to leverage employee engagement to increase their corporate value. This is possibly because it is difficult to determine and utilize the factors affecting employee engagement. To clarify the relationship between engagement and its influencing factors, we constructed a multiple indicator model and performed a covariance structure analysis. Data for the analyses were obtained from the 2… Show more

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Cited by 2 publications
(13 citation statements)
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“…The GFI and AGFI, which are indicators of the explanatory power of the model, show high values of 0.87 and 0.84, respectively, indicating a good fit for the model. RMSEA, a measure of model deviation, is 0.09, which is not sufficiently low to reject the results [15]. "Loyalty" has the greatest prescriptive power for engagement with a standardized coefficient of 0.51.…”
Section: Structural Equation Modelingmentioning
confidence: 85%
See 4 more Smart Citations
“…The GFI and AGFI, which are indicators of the explanatory power of the model, show high values of 0.87 and 0.84, respectively, indicating a good fit for the model. RMSEA, a measure of model deviation, is 0.09, which is not sufficiently low to reject the results [15]. "Loyalty" has the greatest prescriptive power for engagement with a standardized coefficient of 0.51.…”
Section: Structural Equation Modelingmentioning
confidence: 85%
“…RMSEA measures the degree of deviation between the model and true distribution. We used SPSS statistics 24.0 and Amos 28.0 to perform these analyses [15].…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations