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This study investigates the application of orthogonal generalized auto-regressive conditional heteroscedasticity (OGARCH) in predicting the co-movement of banking sector stocks in Indonesia. All state-owned banking sector stocks in Indonesia were studied using daily data from January 2013 to December 2019. The findings indicate that the OGARCH method can simplify the covariance matrix. Most state-owned banking stocks in the banking sector have a similar principal component influencing their conditional variance. Nonetheless, one stock has different principal components. The findings imply that combining the state-owned banking stocks with different principal components effectively reduces the risk of state-owned banking stock portfolios. [ABSTRACT FROM AUTHOR]

Employee turnover costs pose a big challenge for many companies. Studies show that employee turnover can cost about 20% of the salaries in hiring, training and lost productivity, although estimates give much higher figures. Therefore, company management must have a strategy in terms of retaining employees to avoid the desire of moving (turnover intention) from the company. This study aims to analyse the turnover intention of construction employees by extending the planned behaviour model's theory. The research method used is a survey method with a quantitative descriptive approach. The population in this study are employees who work in construction companies in Indonesia. The sampling method using a non-probability sampling technique, namely using a convenience sampling technique is employed in the current study. A questionnaire was used to collect data from 197 respondents. The data were collected and analysed using structural equation modelling (SEM) techniques, using maximum likelihood estimation with covariance matrix as the input with Amos 24 software. The results indicated that attitude and perceived behavioural control had a positive and significant effect on turnover intention. In contrast, subjective norm had a positive but not significant effect on turnover intention. Subjective norms indirectly had a significant effect on turnover intention through attitude and perceived behavioural control. [ABSTRACT FROM AUTHOR]

This study aims to analyze factors that affect the user’s behavioral Intention on one of online transportation services in Indonesia: GO-JEK. These factors are derived from several IT adoption theories, namely, Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Diffusion of Innovation (DOI) theory. This study uses a quantitative approach with a total of 1,2792 collected respondents. The data gathered within this study is being analyzed using covariance based Structural Equation Model (CB-SEM) method using AMOS 22.0 software. This study found that the factors of internal perception (perceived ease of use), external influences (subjective norm), innovation characteristic (compatibility), perceived enjoyment and variety of service influence the behavioral intention of users on online transportation service in Indonesia. [ABSTRACT FROM AUTHOR]