Financial inclusion is one of the interesting discussions in global economic development. Indonesia is a country in ASEAN which has the most rapid increase in financial inclusion in recent years. In the era of the industrial revolution 4.0, everyone is required to be able to follow the development of existing technology and information. This study aims to determine the influence of independent variables (financial literacy, financial technology, demographics) on the dependent variable (financial inclusion) in the City of Surabaya. This study is a causality study with quota sampling. The data of this study is quantitative by collecting data by questionnaire. The data analysis technique used is multiple linear regression. The result of this study based on t statistical tests show that financial literacy, age, and education have a positive effect on financial inclusion. While the variables financial technology, gender, and income did not affect on financial inclusion. Based on the statistical test f, all of the independent variables simultaneously influence the dependent variable (financial inclusion).
PurposeThis paper aims to explore employee perceptions of companies engaged in services and banking of the role of change leadership on the application of artificial intelligence (AI) that will impact the performance and work engagement in conditions that are experiencing rapid changes.Design/methodology/approachThis study has used a quantitative research approach, and data analysis uses an approach structural equation modeling (SEM) supported by program computer software AMOS 22.0. A total of 357 respondents were involved in this study, but only 254 were qualified. In this study, the respondent is an employee of companies engaged in the services and banking sector in the East Java, Indonesia region.FindingsThe results reveal that AI has a significant positive effect on employee performance and work engagement. Change leadership positively moderates the influence of AI on employee performance and work engagement.Originality/valueThe development of this model has a novelty by including the moderating variable of the role of change leadership because, in conditions that are experiencing rapid changes, the role of leaders is essential. After all, leaders are decision-makers in the organization. The development of this concept focuses on studies of companies engaged in services and banking. Employee performance is an essential determinant in the organization because it will improve organizational performance. In addition, the application of AI in organizations will experience turmoil, so that the critical role of leaders is needed to achieve success with employee work engagement.
This study aims to examine the effect of financial technology, demographics, and financial literacy on the financial decision making of the productive age population in Surabaya. The type of research is quantitative and conclusive in the form of causality. The data used are primary data obtained from the questionnaire. The population which is used as much as 180 respondents was selected by way of judgmental sampling. The characteristics of respondents are the productive age population in Surabaya who has income and work. Mechanical analysis of the use of researchers is an analysis of regression doubled by using SPSS software version 20. Results of the study showed that the variables demographics are proxied by type of sex, income, and age did not influence on the financial management behavior in the population age productive in Surabaya. Whereas Financial Technology and Financial Literacy have a significant positive effect on Financial Management Behavior in the productive age population in Surabaya
Purpose of the study: The purpose of the study was to compare the financial information, financial self-efficacy and emotional intelligence on the financial management of women lecturer in state and private university. Methodology: This study was designed as a conclusive causality study. The study population was female lectures of state and private universities in Indonesia. From the population, there are two hundred (200) female lectures from a state university and private universities have selected as a sample of study by quota sampling method. The data collection techniques used in this research are interviews and surveys. Multiple regressions was chosen to get results with the SPSS tools. Main Findings: There is an influence of financial knowledge, financial self-efficacy, financial literacy, and emotional intelligence to the financial management behavior of female lecturers at state universities while there is no influence of financial attitude, financial literacy, and emotional intelligence to the financial management [behavior] of female university lecturers in private universities. Applications of this study: The results of this study will be beneficial for financial institutions and governments that usually hold education and training programs for their customers to increase financial knowledge so as to increase the confidence of their customers (including lecturers) in their ability to manage finance. Furthermore, this knowledge will be conveyed back to the students of the lecturer in the learning process about finance, so that it will indirectly increase the financial literacy of their students and society at large. Novelty/Originality of this study: Many researches about financial behavior topics have analyzed financial information factors’ influence on financial management behavior, but few of them have included psychological factors such as financial self-efficacy and emotional intelligence. This distinguishes this research compared to other studies of financial behavior as it analyzes the two effects of psychological factors on financial management behavior. Another novelty of this study is the selection of female lecturer as research object as their characteristic as well-informed and well-educated about financial management that has not observed by previous studies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.