International Journal of Research in Business and Social Science

This study was conducted to determine the effect of self-efficacy on employee performance and work motivation, and work involvement in mediating the effect of self-efficacy on employee performance of manufacturing companies in DKI Jakarta. The sample in this study amounted to 100 respondents. This study uses quantitative descriptive analysis techniques. The analysis method in this study uses Path Analysis using SmartPLS. The results of the analysis in this study are: (1) self-efficacy has a positive and significant effect on employee performance, (2) work motivation mediates positively and significantly the relationship between self-efficacy and employee performance, and (3) work involvement mediates positively and significantly the relationship between self-efficacy and employee performance. This research is expected to contribute to the development of Human Resource Management, especially in research on improving employee performance.

Within these dynamics and disruptive eras, it is crucial for all kinds of organization to build and ensure their competencies in increasing their performance and maintaining their position, including for SMEs. This study aims to identify the role of exploitative and organizational learning in influencing SMEs' performance. It also considers the moderating role of environmental dynamism as the conditional factor that underlies the relationship. We carried out the study on 150 SMEs in Jakarta, Indonesia, which was chosen using purposive sampling. The data is collected by distributing an online questionnaire to the respondents, which is then processed and analyzed using Structural Equation Modeling with AMOS. The results of this study indicate that exploitative learning and organizational learning lead to higher SME performance. Furthermore, this influence is more potent when SMEs exist within a dynamic environment, as they will feel the necessity to learn more to face the challenges and seize the opportunities.

This study aims to examine does independence of the Board of Commissioner (BOC) is still relevant as a corporate governance mechanism regarding monitoring managers’ activity, such as aggressive in financial reporting and tax avoidance during financial distress condition. The focus of this study is listed companies on the Indonesia Stock Exchange (IDX), particularly on Mining and Consumer Good Industry sector for period 2016 until 2018. Using multiple linear regression analysis, this study documents that Independency of board commissioner has significant effect on manager’s activity in avoiding tax, however this study failed to document that independency moderates the effect of financial distress and financial reporting aggressiveness on tax avoidance. In addition, this study find that financial distress and financial re-porting aggressiveness positively affect tax avoidance. This study contributes on two ways, first, it adds empirical evidence regarding the relevancy of board of commissioner’s independency as a measure of corporate governance mechanism to monitor managers’ activities in avoiding tax. Second, it also adds evidence that independence is unable to moderates the effect of financial distress and financial reporting aggressiveness on tax avoidance activities performed by managers. In brief, this study implies that the independence of BoC, solely as a measure of corporate governance mechanism is less relevant in a current situation especially when the company facing financial distress conditions and managers’ aggressiveness in financial reporting. Managers should more pay attention to the discretion of tax avoidance activities particularly when facing financial distress condition. The results also imply that regulatory bodies, for instance, Stock Exchange Supervisory Board under the Indonesian Financial Services Authority should reconsider or reformation the concept of independence of Board Commissioners.

This paper aims to analyze cryptocurrency volatility by examining the effect of Gold, Dollar Index, and Composite Stock Price Index (IHSG) as independent variables and on Bitcoin and Ethereum as dependent variables. The cryptocurrency objects in this study are Bitcoin and Ethereum, which have the largest market capitalization. The data in this study used the period January 1, 2018, to December 31, 2021. This study used GARCH analysis. This study's results indicate that Bitcoin's volatility is influenced by the price of Bitcoin itself, gold, and the stock exchange index, and Ethereum and the stock exchange index influence Ethereum. This shows that the cryptocurrency market is inefficient as the prices are also affected by past prices.

This study was conducted to see whether there is a difference between mergers and acquisitions on financial performance and firm value or not. A total of 31 companies conducting mergers and acquisitions in 2016-2018 listed on the Indonesia Stock Exchange were sampled in this study. The occurrence of decline in profitability, liquidity, activity ratios and firm value as well as an increase in solvency ratios after mergers and acquisitions became the impetus for conducting research. The measuring tool of profitability is Net Profit Margin (NPM). The measuring tool of liquidity is the Current Ratio (CR). The measuring tool of Solvency is the Debt-to-Equity Ratio (DER). The measuring tool for the activity ratio is Total Asset Turnover Ratio (TATO). And the instrument for measuring the value of the company is the stock price. This study used the Wilcoxon-Signed Rank Test to test the hypothesis. The results showed that there was a difference in the Current Ratio (CR) after the merger and acquisition. However, mergers and acquisitions make no difference in Net Profit Margin (NPM), Total Asset Ratio (TATO), Debt-to-Equity Ratio (DER), and Firm value.

This research aims to find out and analyze the effect of the bonus mechanism, tunneling incentive, and exchange rate on company decisions to perform transfer pricing practices in 35 manufacturing and mining sector companies listed on the Indonesia Stock Exchange for the 2018–2020 period. The population of this research is used in the manufacturing and mining sectors listed on the Indonesia Stock Exchange (IDX).  This research is a type of quantitative research using secondary data in the form of the company’s annual report and financial statement. The Random Effect Model (REM) with panel data regression was used in this study using STATA version 16. Based on the test results and analysis, it can be concluded that the bonus mechanism has a significant positive effect on transfer pricing, the exchange rate has a significant negative effect on transfer pricing, and the tunneling incentive has no effect on transfer pricing.

Gojek has become a widely-known online transportation service in Indonesia, including East Bekasi, a major city that encompasses one of the biggest population numbers, right behind Jakarta. This results in the occurrences of traffic jams and, consecutively, the public’s need for comfortable, fast, and safe transportation. The purpose of this research is to identify, prove and analyze the loyalty of East Bekasi Gojek customers. In this paper, the researched variables include a brand image, promotion, service quality, customer satisfaction and customer loyalty. This research uses a quantitative method, namely the purposive sampling method, using samples from 96 respondents. The data used are gathered from the questionnaire spread, and data analysis is done using SmartPLS 3.0. The result of this research finds that for the direct influence of brand image, promotion, and service quality on customer loyalty, all variables show positive and significant effects, with brand awareness showing an influence degree of 0,350, promotion with 0,364, and service quality with 0,289. As for the indirect influence of brand image, promotion, and service quality towards customer loyalty, brand awareness shows positive and significant effects on the degree of 0,319 while on the other hand, promotion, and service quality show positive yet insignificant effects with promotion being on the degree of 0,222 and service quality on 0,179. As for the indirect influence, the influence towards loyalty through customer satisfaction shows positive and significant effects with brand image on the degree of 0,098, promotion on 0,102, and service quality on 0,081. Meanwhile, the direct joint contribution of brand image, promotion, and service quality for customer satisfaction shows a degree of 81,70%, and indirectly it shows a degree of 82,40%, while the rest of the figure is caused by other factors not included within the model of this research.

This study examines the influence of global stock indices and macroeconomic conditions in Indonesia on the Jakarta Composite Index (JCI). The global stock indices analyzed in this study are the Dow Jones Industrial Average (DJIA), Nikkei 225 (N225), Shanghai Stock Exchange Composite (SSE), Strait Singapore index. The macroeconomic indicators that analyzed in this study are the inflation rate, the US dollar exchange rate against the Indonesian rupiah, and the BI rate. This study was conducted using secondary data. The research period was 3 years for 36 months from January 2018 to December 2020. The data used in this study are secondary data with a sample collection method using Purposive Sampling against JCI. Data analysis in this study was carried out using Microsoft Office Excel 2016, as well as hypothesis testing using panel data regression analysis with the Eviews program version 10.0 with a significance level of 5%. Research Results The results showed that in the short term, Index DJIA, Nikkei Index 225, Interest rates positively affect the movement of JCI. This suggests that an increase in the DJIA index, Nikkei 225 Index, and interest rates will result in an increase in the JCI, While Shanghai Index, STI, Inflation does not affect the JCI.

This paper aims to analyze cryptocurrency volatility by examining the effect of Gold, Dollar Index, and Composite Stock Price Index (IHSG) as independent variables and on Bitcoin and Ethereum as dependent variables. The cryptocurrency objects in this study are Bitcoin and Ethereum, which have the largest market capitalization. The data in this study used the period January 1, 2018, to December 31, 2021. This study used GARCH analysis. This study's results indicate that Bitcoin's volatility is influenced by the price of Bitcoin itself, gold, and the stock exchange index, and Ethereum and the stock exchange index influence Ethereum. This shows that the cryptocurrency market is inefficient as the prices are also affected by past prices.

Indonesia is a country ranked fourth as the most populous country in the world, so it's no wonder there are many socio-economic problems. Development has several indicators, namely social conditions and economic conditions related to SDGs 3, 4, 8, 9 and 11 goals, where the goal to be achieved is to see which areas have optimal economic growth values. To encourage the achievement of SDGs in Indonesia, social conditions and economic conditions have a role to play in supporting economic growth. Economic growth in this study is described by the GRDP, namely the GRDP describes the total gross added value of each economic sector. By using a sustainability analysis technique, namely Qualitative Comparative Analysis (QCA) using Tosmana software. Using the year of research in 2020 and research objects in 34 provinces. Based on the results of the study, it was found that the regions with optimal economic growth from social and economic conditions were North Sulawesi, Riau, Jambi, South Sumatra, Lampung, West Kalimantan, South Sulawesi, Bali, Kep. Riau, Central Java, East Java and West Java. The relationship between socio-economic conditions on economic growth is expected to provide an increase in economic growth and see what programs have been successfully implemented that can have a positive influence on social and economic conditions.