• Journal of Families and Better Life
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• v.21 no.2
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• pp.155-173
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• 2003

The purpose of this study was to gain an understanding about urban housewives' stress in family financial management, their coping strategies, and their sense of economic well-being, which will eventually provide some baseline data for policy development. The findings of this study are summarized in the following. First, the mean score of the level of financial management-related stress among urban housewives was 2.61 when the maximum level was set at 5. In order to overcome the stress from financial management, housewives utilized various strategies, such as purchasing management, financial planning, financial information gathering, getting a loan, and delaying payments. The average level of economic well-being among urban housewives was 2.82 when the maximum level was 5. Second, among socio-demographic factors, the family's monthly income and the husband's job satisfaction were the two most significant factors that affected the level of financial management stress among housewives. Third, there was a difference in employing coping strategies according to the level of stress. The group with a higher level of financial stress employed more coping strategies than the group with, a lower level of stress. Fourth, there were differences in the level of economic well-being, depending on the types of coping strategies employed. Fifth, the results from regression analyses, which were conducted to determine the relative explanatory power of different independent variable groups including subjective factors, financial management stress, and coping strategies, showed that socio-demographic and objective economic factors significantly affected economic well-being.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.363-370
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• 2021

This study aims to revisit the issues and misconceptions about financial inclusion (FI) indices. For indices construction, this study uses two approaches: one approach following the methodology of Sarma (2008) which is based on UNDP methodology, while the other is the Dynamic Factor Model (DFM)-based index of Stock and Watson (2002) and Rehman et al. (2021). The data of 18 economies of Asia from 1997 till 2017 is used for indices construction and analysis. The authors constructed macro and micro-level financial inclusion indices based on the different types of financial inclusion indicators. Second, the authors have critically evaluated two different approaches, and the results show that Sarma (2008)-based index show financial inclusion's level, while DFM-based index reveal fluctuation in the current year's financial inclusion level due to the prior variations. For measuring the level of financial inclusion, the Sarma (2008) index is effective, while for forecasting the level of financial inclusion, the DFM approach is more appropriate. Furthermore, the micro and macro aspects of financial inclusion should be reflected in separate indices for better understanding and in-depth insights.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.21-27
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• 2021

The financial sector is one of the most important building blocks of the economy. When this sector efficiently implemented a well-crafted program on banking and financial system to translate financial activities to income-generating activity, economic growth will be realized. Hence, this study analyzed the effect of financial intermediation on economic growth and the existence of cointegrating relationship using time-series data from 1986 to 2015. The influence of financial intermediation in terms of bank credit to bank deposit ratio, private credit, and stock market capitalization and time trend to economic growth was estimated using ordinary least squares (OLS) multiple regression. The results showed that all the financial intermediation indicators and time trend exert significant effect on Gross Domestic Product (GDP) per capita. The positive sign of the time trend indicates that there is an upward trend in GDP per capita averaging approximately 0.06 percent annually. Furthermore, the cointegration test using the Johansen procedure revealed that there is a presence of long-term equilibrium relationship between financial intermediation and time trend and economic growth, and rules out spurious regression results. This study established the idea that financial intermediation in the Philippines has a significant and vital role in stimulating growth in the economy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.807-815
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• 2021

Microfinance is seen as a tool for poverty elimination by providing various services characterized as financial and non-financial to minority groups in the society to be included in the mainstream financial system. This paper seeks to examine the effect of microfinance institutions' (MFIs) financial and non-financial services on women's entrepreneurship and empowerment in Jordan as a developing country. To gain a deeper understanding of the effectiveness of microfinance services, the study is undertaken to address the question of what kinds of services are available and whether the MFI services are in line with the actual needs of women entrepreneurs to improve their performance. Hence, a qualitative approach was adopted in this study using semi-structured interview questions to collect data from twenty-four women entrepreneurs in Jordan. The results showed that, as regards financial services, the most important needs of women entrepreneurs include providing adequate financing with necessary financial facilities such as reducing interest, reducing monthly installments, and extending the grace period, while non-financial services should include holding specialized courses, accessing a counseling center, providing incentives and psychological support, marketing support, and monitoring and evaluation. This study concluded that factors associated with MFI play a crucial role to uplift women entrepreneurs and eliminate gender inequality.

• The Journal of Industrial Distribution & Business
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• v.13 no.5
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• pp.15-26
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• 2022

Purpose: There has been a consistent failure of businesses that are run by a single person. Most of these collapse at infancy prematurely and those that survive continue to operate at minimal capacity. The study thus sought to enhance growth of sole proprietors from being small entities to large corporates. Financial determinants of business growth were earmarked for research as they were amongst the grey areas of business growth research. Research design, data and methodology: The target population of the study was made up of groceries retail sole proprietors operating in Epworth, Zimbabwe. Questionnaires were used in a once-off cross-sectional survey using stratified random sampling. Through a deductive research approach, four financial determinants of business growth were established namely financial availability, financial management, financial evaluation and financial investment (AMEI). These constructs formulated the basis for the development of the model which linked financial factors to business growth. Results: The study found out that all four financial determinants were statistically significant (P < 0.05) in predicting business growth. Conclusions: The study concludes that the model tested was useful in explaining sole proprietor's business growth. Sole proprietors should have access to funding, manage received funds in an appropriate manner, invest into the business and evaluate their business processes.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.770-802
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• 2022

With the development of deep learning techniques, text mining is producing breakthrough performance improvements, promising future applications, and practical use cases across many fields. Likewise, even though several attempts have been made in the field of financial information, few cases apply the current technological trends. Recently, companies and government agencies have attempted to conduct research and apply text mining in the field of financial information. First, in this study, we investigate various works using text mining to show what studies have been conducted in the financial sector. Second, to broaden the view of financial application, we provide a description of several text mining techniques that can be used in the field of financial information and summarize various paradigms in which these technologies can be applied. Third, we also provide practical cases for applying the latest text mining techniques in the field of financial information to provide more tangible guidance for those who will use text mining techniques in finance. Lastly, we propose potential future research topics in the field of financial information and present the research methods and utilization plans. This study can motivate researchers studying financial issues to use text mining techniques to gain new insights and improve their work from the rich information hidden in text data.

• The Journal of Information Systems
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• v.18 no.4
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• pp.41-57
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• 2009

Although financial information is a great influence upon determining of the group which use them, detection of management fraud and earning manipulation is a difficult task using normal audit procedures and corporate credit evaluation processes, due to the shortage of knowledge concerning the characteristics of management fraud, and the limitation of time and cost. These limitations suggest the need of systemic process for !he effective risk of earning manipulation for credit evaluators, external auditors, financial analysts, and regulators. Moot researches on management fraud have examined how various characteristics of the company's management features affect the occurrence of corporate fraud. This study examines financial characteristics of companies engaged in fraudulent financial reporting and suggests a model and system for detecting GAAP violations to improve reliability of accounting information and transparency of their management. Since the detection of management fraud has limited proven theory, this study used the detecting method of outlier(upper, and lower bound) financial ratio, as a real-field application. The strength of outlier detecting method is its use of easiness and understandability. In the suggested model, 14 variables of the 7 useful variable categories among the 76 financial ratio variables are examined through the distribution analysis as possible indicators of fraudulent financial statements accounts. The developed model from these variables show a 80.82% of hit ratio for the holdout sample. This model was developed as a financial outlier detecting system for a financial institution. External auditors, financial analysts, regulators, and other users of financial statements might use this model to pre-screen potential earnings manipulators in the credit evaluation system. Especially, this model will be helpful for the loan evaluators of financial institutes to decide more objective and effective credit ratings and to improve the quality of financial statements.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.697-710
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• 2021

This paper attempts to study the impact of Financial Literacy on Youth Entrepreneurial Intent in Pakistan. A closed-ended self-administered structured questionnaire covering financial literacy, computer knowledge, financial attitude, and financial knowledge with Entrepreneurial Intent was collected from young entrepreneurs. The research tried to investigate the education level with computer skill to inspect the effect of financial literateness on young generation Entrepreneurial Intent in the context of Pakistan. The research model was tested using PLS-SEM and authenticating a measurement model through the advanced methodology and their association with Entrepreneurial Intent. Results revealed that financial literacy and its two parts (financial attitude and financial knowledge) have a positive impact on Entrepreneurial Intent. The size of the joint impact of financial literacy and its components on Entrepreneurial Intent was assessed to be adequate. Entrepreneurial Intent is essential for creating new firms to maintain economic development. Furthermore, it is determined in this research that if youth has better financial knowledge and financial attitude, the probability of Entrepreneurial Intent increases. This suggests that if the youth in Pakistan desire to attain a higher limit of Entrepreneurial Intent, they must implement financial literacy models for enhancing and promoting their current Entrepreneurial Intent.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3218-3241
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• 2023

Financial fraud undermines the sustainable development of financial markets. Financial statements can be regarded as the key source of information to obtain the operating conditions of listed companies. Current research focuses more on mining financial digital data instead of looking into text data. However, text data can reveal emotional information, which is an important basis for detecting financial fraud. The audit opinion of the financial statement is especially the fair opinion of a certified public accountant on the quality of enterprise financial reports. Therefore, this research was carried out by using the data features of 4,153 listed companies' financial annual reports and audits of text opinions in the past six years, and the paper puts forward a financial fraud detection model integrating audit opinions. First, the financial data index database and audit opinion text database were built. Second, digitized audit opinions with deep learning Bert model was employed. Finally, both the extracted audit numerical characteristics and the financial numerical indicators were used as the training data of the LightGBM model. What is worth paying attention to is that the imbalanced distribution of sample labels is also one of the focuses of financial fraud research. To solve this problem, data enhancement and Focal Loss feature learning functions were used in data processing and model training respectively. The experimental results show that compared with the conventional financial fraud detection model, the performance of the proposed model is improved greatly, with Area Under the Curve (AUC) and Accuracy reaching 81.42% and 78.15%, respectively.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.112-123
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• 2014

This Study aims to establish better sound fiscal plan by investigating perception of local government officials. Local government fiscal consolidation is affected by a combination of factors, including social, economic, demographic, political financial health of local governments. We derived the financial situation of the government-related indicators, financial health-related indicators, the indicators to improve the financial health on the basis of this study are an existing discussion. To ensure the financial soundness of the Cheonan, it is necessary to increase the efficiency of financial management including financial monitoring and control devices provided the locals, investment screening analysis system to enable it. In addition, fiscal controls should be strengthened in order to effectively autonomous government debt management. You must cuts expense of local government to prepare for expansion of local government finance, it is necessary to realize that the fee rates. It should be made through a blend of autonomy and control in the central government, network of local government and the development of local financial operations. You should also to be distributed to the residents welfare and community development funds are invested substantially to establish a systematic planning, resource allocation, evaluation, and reflux system.