This paper aims to investigate the relationship between managerial opportunistic behavior and the value of manufacturing companies listed on the Indonesia Stock Exchange, using two different indicators of company value. The first indicator looks at the value of the company from a less than ideal size and other indicators view the value of the company from the ideal size. By using 320 observations, the results of this study found evidence that managerial opportunistic behavior that is proxied by free cash flow plays a role in influencing the overvalued equity proxied by market books. Likewise, free cash flow plays an important role on influencing Tobin q. This study also establishes an indirect relationship of free cash flow to overvalued equity and Tobin q which is mediated by dividend policy. Empirical results show that dividend policy mediates the effect of free cash flow on overvalued equity and also Tobin q partially.

In line with Sharia principles, this study explores the correlation between increased returns and heightened risks, aligned with Al-Ghunm bi Al-Ghurm. Daily data from the Jakarta Islamic Index 70, spanning December 2021 to November 2023, was analysed using quantitative methods. Four key trading strategies were assessed: buy-and-hold and three Ichimoku strategies (Conservative, Moderate, and Aggressive). The results indicate the effectiveness of a moderate Ichimoku strategy because of its well-balanced approach. Despite no significant performance differences between Ichimoku's trading rules and buy-and-hold, the study emphasizes nuanced decision-making for diverse investor preferences. The insights benefited Indonesian Sharia investors, suggesting enhancements in risk mitigation techniques, and considering external factors. Enriching technical analysis and Sharia-compliant investments, this study underscores the importance of aligning financial objectives with ethical considerations, contributing to the evolving landscape of the Indonesian Sharia stock market.

Previous studies have argued that increasing knowledge capacity in big data analytics influences increasing the speed of information processing and network analysis for making the right decisions at scale and high volume. Big data intensification supported by knowledge capacity through digital learning and a strategically supportive environment can ultimately help companies improve company performance. This study seeks to analyze the effect of big data analytics, digital learning orientation and environmental strategy on readiness for change and innovative behavior. The sampling technique employed by using simple random sampling on 185 respondents of information technology companies. By using the Structural Equation Modeling (SEM) analysis technique with the Partial Least Square approach, the empirical results show that big data analytics, digital learning orientation and environmental strategy had a significant effect on readiness for change and positively influence innovative work behavior. The analysis of mediation through the variable of readiness to change also found the role of mediation in strengthening the influence of exogenous variables on innovative work behavior. These results theoretically reveal the important role of data-driven performance management as an instrumental consequence. Practically speaking, the findings highlight the importance of employee engagement and talent acquisition professionals as a driving force in the intensification of big data analytics.

This study aims to analyze the ability to determine the weight of securities of stocks, bonds, mutual funds and deposits in the implementation of employer pension funds in Indonesia based on variables of asset allocation, portfolio turnover, board size, institutional ownership and diversification of the portfolio performance. The data collection method used was non-participant observation. By using a data pooling technique which combined time series data over period 2016-2018 and a cross section data of 64 Employer Pension Funds (DPPK, Employer Pension Funds), 192 observed analysis units were obtained. The effect of the variables was analyzed by using Structural Equation Modeling (path) as the analysis technique and using LISREL (Linear Structural Relationships) program. The test results showed that the asset allocation strategy had a positive effect on the investment portfolio performance. The same also happened to institutional ownership and diversification variables which also had a positive and significant effect on the investment portfolio performance. However, this study showed that there was no positive effect on the board size and portfolio turnover on the investment portfolio performance. Theoretical and managerial implications and also the limitations of this study are discussed at the end of this study.