The low level of financial literacy, especially Islamic financial literacy which can affect individual readiness to plan finances and accept risks in relation to financial investments. This research aims to determine the effect of Islamic financial literacy and financial behavior on investment intentions.. The research used in this research is quantitative research with the questionnaire method on google form to respondents as well as using secondary data derived from literature and the results of previous studies then the survey results were processed using SPSS and analyzed and interpreted to conclude the findings. The result is that Islamic financial literacy, financial risk tolerance and behavioral biases have a positive effect on investment intentions.
This study aims to determine and analyze the influence of economic growth, government capital expenditure, and human development index on the inequality of income distribution in Metropolitan Cities in Indonesia. This type of research is descriptive associative research, where the data used is secondary data from 2012 to 2021 obtained from relevant agencies, which were analyzed using the panel data regression method. The findings of this study indicate that the human development index has a negative and significant effect on the inequality of income distribution in Metropolitan Cities in Indonesia, capital expenditures and economic growth have a positive and insignificant effect on the inequality of income distribution in Metropolitan Cities in Indonesia. Taken together, only the human development index has a significant effect on the inequality of income distribution in Metropolitan Cities in Indonesia.
This study aims to observe the effect of the Gini Ratio with factors of education, income, unemployment, and poverty in OIC member countries. This study uses purposive sampling in collecting data in the form of 24 OIC countries between 2010-2019. The data were observed using a random effect model after the Chow and Iju Hausman tests were carried out. The results show that only poverty has a significant effect on the Gini ratio. Poverty which is certainly caused by inequality in income received against expenditure causes a serious increase in poverty which in turn affects the Gini index number. Factors such as income, primary school education, and unemployment have no significant effect on the Gini ratio.
This conceptual paper exclusively focused on how artificial intelligence (AI) serves as a means to identify a target audience. Focusing on the marketing context, a structured discussion of how AI can identify the target customers precisely despite their different behaviors was presented in this paper. The applications of AI in customer targeting and the projected effectiveness throughout the different phases of customer lifecycle were also discussed. Through the historical analysis, behavioral insights of individual customers can be retrieved in a more reliable and efficient way. The review of the literature confirmed the use of technology-driven AI in revolutionizing marketing, where data can be processed at scale via supervised or unsupervised (machine) learning.
Macroeconomic variables are still interesting to study because some studies still find inconsistent results and dependence on the dynamics of the capital market and international financial markets, especially when there is turmoil in the domestic and international stock markets. This study aims to analyze the causality and cointegration relationship of macroeconomic variables, namely: interest rates (BI Rate), inflation and exchange rates to changes in the composite stock price index (CSPI) using the Vector Error Correction Model (VECM) method with the analysis tool Eviews 10 using secondary time series data based on the period 1990 to 2021. Exogenous variables tested include the BI rate, Inflation and the Logarithm of the Natural Exchange Rate (LnKurs) while the endogenous variables are the Natural Logarithm of the Composite Stock Price Index (LnIHSG). The results showed that the cointegration test results with Johansen's Cointegration Test found that the movement of the LnIHSG, BI Rate, Inflation and Exchange Rates had a relationship of stability/balance and the similarity of movements in the long term. In the causality test with Granger's Causality Test, there is a unidirectional causality relationship between the BI Rate variable and the LnIHSG variable, while there is a two-way causality between the Foreign Exchange variable and the BI Rate variable and vice versa, as well as a two-way causality relationship between the Exchange Rate variable and the Inflation variable, and vice versa.
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