• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.47-59
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• 2020

This paper intends to explore the relationship between financial inclusion and financial stability under the scope of Asian economies. The linkage will be thoroughly investigated with country-level and bank-level data of 42 countries in three separate years: 2011, 2014, and 2017. In this study, an inclusive financial system is assessed by two dimensions: usage of financial services and access to the financial system. Usage of financial services ranges from account to credit, savings and payment services. Access to financial system measures the financial outreach where individuals can use financial services. Meanwhile, financial stability, which proxied by Bank Z-score is regarded as the dependent variable. We apply fixed effects regression and random effects regression to capture the impacts of financial inclusion upon financial stability. To enhance the robustness of the model, the Feasible Generalized Least Squares (FGLS) regression is therefore adopted as the solution for the random effects regression. The empirical findings exhibit an overall weak positive influence of financial inclusion on financial stability. The research results also provide both financial institutions and governments with insightful information, which helps them to have an appropriate financial development strategy, improve the regulatory framework and consequently enhance financial stability for the whole system.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.273-280
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• 2021

Financial behavior and financial well-being are two closely related aspects of an individual's financial decision making. This study attempts to investigate the extent to which financial behavior influences financial well-being in the Indian scenario. The data is collected using a structured questionnaire from a sample of 150 respondents. The study employs Financial Management Behaviour Scale (FMBS) (Dew & Xiao, 2012) to measure financial behavior. Factor analysis and multiple regression are performed to find the influence of financial behavior on financial well-being. The findings of the study suggest that except for credit commitment all the other behavioral factors like future security, savings and investments, credit indiscipline, and financial consciousness have a significant impact on the financial well-being of an individual in the Indian scenario. The regression coefficients of financial well-being are strongly determined by financial consciousness. The study is a contribution to the existing behavioral studies literature and the model used identifies the factors that influence the financial well-being in the Indian scenario. The study is conducted during the year 2020, so the results could have been influenced by the economic scenario of the period. The results of the study can be used by financial advisors to understand the financial well-being in the Indian scenario.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.635-645
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• 2020

This research was conducted to achieve several objectives and focus research was based on financial behavior theory and prospect theory as grounded theory e.g., investigate the financial decision-making behavior between financial and real assets investment, and confirm the relationship existing between herding behavior and overconfidence factors to the level of loss and regret aversion, and financial literacy into real assets investment decisions. The study used 220 real estate auction respondents as investor samples at the State Assets and Auction Service Office Makassar, South Sulawesi, Indonesia. Data was collected through the use of a questionnaire consisting of 23 questions to measure the variables. Moreover, the research data passed through several feasibility tests like the inner and outer modeling by Partial Least Square - Structural equation model (PLS-SEM) while the hypotheses formulated were also tested to determine the magnitude of the variable relationship. Through the use of the direct and intervening test, loss and regret aversion variables have a positive and significant effect while financial literacy variables have no significant effect. There is a slight difference in the decision-making process for real assets and financial assets investors. Investment decision making behavior in the financial assets sector requires less complicated decisions compared to the decisions related to real assets investments.

• Korean Management Science Review
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• v.29 no.3
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• pp.23-43
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• 2012

Enacted for enhancing the competitiveness of the Korean capital market and financial industry, Capital Market Consolidation Act (CMCA) was intended to induce considerable changes such as adopting the concept of financial investment products, regulating financial investment functionally, extending financial investors' business areas and intensifying protection for investors. Employing DEA (Data Envelopment Analysis), this study measures and compares the efficiencies of domestic financial companies between the before and after the enactment of the Consolidation Act. We categorize the financial companies into 4 groups (banks, life insurance companies, property and casualty insurance companies and securities companies) depending on their business types, and evaluate how much and in which direction the Consolidation Act affects the efficiency of each group respectively. The study shows that there is no significant difference between the average efficiency of banks and that of property and casualty insurance companies due to the trade-off between opportunities and threats of the Act. To the contrary, it shows that the respective average efficiencies of life insurance companies and securities companies moved in the opposite directions to a considerable extent. Through empirical tests, we demonstrate the effect of the Act on the efficiency of Korean financial companies, and suggest the countermeasures for each financial group against the Act.

• Journal of the Korean Home Economics Association
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• v.37 no.3
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• pp.63-84
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• 1999

The purpose of this study was to explore how family type based on intra system dynamics explained housewives'objective and subjective family financial well-being. The data were collected by means of questionnaire distributed to a stratified sample of 662 housewives in Seoul who usually managers household finances. The questionnaire included family cohesion and adaptability scale, communication scale, financial management scale, and subjective family financial well-being scale. Frequency, percentile, mean, Х$^2$ Pearson’s correlation, one-way ANOVA, multiple regression were used to analyze the data. The study had resulted in five major findings: 1. Among four intra system dynamics elements were highly relationships 2. Families were categorized tv four types, named personal-oriented(N: 164), managerial-oriented(N=169), dynamics(N=154), and non-dynamic(N=134) family. 3. The four types of family were influenced tv age of housewives, duration of marriage, and job status of husbands. 4. The four types of family were significantly related with subjective family financial well-being. The personal-oriented family type was significantly related with objective family financial well-being. 5. The dynamic family type showed the highest effect of subjective family financial well-being. The personal-oriented family type showed the greatest effect of objective family financial well-being. The recommendation for future research and better ways to enhance level of intra system dynamics elements and family financial well-being.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.923-931
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• 2021

The aim of the present study is to analyze the financial performance of converted commercial bank from non-banking financial institution through a case study of Bangladesh Commerce Bank Limited as sample organization. It is observed that the bank is able to achieve a stable growth rate in total deposits, total loans and advances, and net income after tax during the period of 2015-2019. Researchers also calculated some ratio analysis and noticed that the financial position of Bangladesh Commerce Bank Limited was not so strong because bank's ROA, ROE, NIM and other ratios were below standard. Researchers used secondary data that were examined by using descriptive statistical tools and panel data regression model. Result shows that Bangladesh Commerce Bank has satisfactory operating efficiency, assets management efficiency, and gives loans to customers. In addition, the present study has tested some hypotheses regarding net income after tax, ROA and ROE with total assets, total loans, total deposits and interest income. These hypotheses have been accepted, which means there is no significant influence of the independent variable on the dependent variable. The study suggests that Bangladesh Commerce Bank Limited had the opportunities to make their financial position stronger by utilizing their good financial position and management efficiencies.

• Journal of Distribution Science
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• v.14 no.6
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• pp.99-106
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• 2016

Purpose - The antecedent to the relationship between the effect of the characteristics of strategic alliances and the performance of container liner shipping companies has been investigated in this study as container liner shipping companies' strategic alliances. It affects positively and negatively home, partner, and the third parties' performance in container liner shipping companies. Extensive literature reviews on shipper's strategic alliances reveal that strategic alliances in financial and non-financial performance of container liner shipping companies show the performance such as economic effects, business performance, global supply chain management performance, customer satisfaction, and forward integration and backward integration performance. The purpose of this study is to test empirically that the relationship between the characteristics of strategic alliances and financial and non-financial performance in container liner shipping companies. Structured equation modeling and confirmatory factor analysis were used to test the hypothesis using AMOS statistics program. Most previous researches focused on the relationship between the characteristics of strategic alliances and alliance types. There are few empirical studies that focus on business performance data because it is difficult to collect data in container liner shipping companies. However, this research measures financial and non-financial performance differently compared with the previous researches focusing on the characteristics of strategic alliances and alliance types measurements. Research design, data, and methodology - The conceptual model for the study is based on the studies of Lim (2010), Chen & Zhen (2009), and Wang & Meng (2014). The model is built around the factors of characteristics of strategic alliances and business performance. Cost, marketing, and service factors are regarded as proxy for the characteristics of strategic alliances. The financial and non-financial performance are regarded as proxy for the performance of strategic alliances. Based on the analysis of one hundred cases such as forwarder, shipper, and liner shipping companies, this study uses structural equation modeling to verify the effects of the characteristics of strategic alliances on business performance. Conclusions - This study provides container liner shipping companies to get some policy and practical implications in terms of the characteristics of strategic alliances and business performance. First, the cost factor for alliances characteristics has a positively significant influence on the financial and non-financial performance of strategic alliances. The cost factor relationship between high and low performance group does not have a significant difference on the performance of strategic alliances. Second, the marketing factor of alliances characteristics has a positively significant influence on the financial and non-financial performance of strategic alliances. The high performance group's marketing factor has a great non-financial performance than low performance group, but the low performance group's marketing factor has a grater financial performance than high performance group factor does. Third, the service factor of alliances characteristics has a negative influence on the non-financial performance of strategic alliances. The high performance group's service factor has a great non-financial performance than low performance group. Based on the findings from this study, related implications and future avenues deserve to be discussed.

• The Research Journal of the Costume Culture
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• v.24 no.2
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• pp.248-262
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• 2016

Most Korean companies in the fashion industry are SMEs, and the role of the CEO and management ownership is important for enhancing the firm's competence and developing strategies. The study aims to examine the effect of management ownership on company financial growth. In particular, the study focuses on the moderating effect of company age and size on Korean fashion SMEs' financial outcomes. Financial data based on company financial statements from 2012 to 2014 was collected by the Data Analysis, Retrieval and Transfer System of Korea's Financial Supervisory Service. A total of 295 companies' (domestic fashion businesses) data was analyzed by the bootstrap method. The median sales value in the financial year 2014 was 47,492,403,958 KRW, and the company size was divided by it. The companies were in business for an average of 20 years. According to the results, the management ownership had a negative effect on Compound Annual Growth Rate (CAGR) for the three-years, and the relationship between the two variables was moderated by company age. Additionally, the interaction effect of management ownership and company age on 3-CAGR was also moderated by company size. When the companies had spent only a few years in business, a negative effect of management ownership for small firms and a positive effect of management ownership on financial growth for medium firms were found. These results suggest that small companies starting business need to manage their company governance structure to make flexible decisions, and after retaining financial growth, the companies can expand their businesses based on strong ownership.

• Health Policy and Management
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• v.22 no.3
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• pp.383-402
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• 2012

The purpose of this study is to investigate the factors affecting family caregiver financial burden of out-of pocket expenses for the nursing home service under Long-term Care Insurance System. We conducted a national cross-sectional descriptive survey from July to September 2010 to collect data based on the long-term care benefits cost specification. Total 1,016 family caregivers completed questionnaires. 185 subjects of total were excluded from the data analysis due to being answered by user(18 cases), or caregivers not to pay for services expenditures(122 cases), having a missing data on family caregivers characteristics(45 cases). Finally, 831 subjects were included in the study. The average financial burden was 3.18(${\pm}0.71$). We divided subjects into two groups by level of burden, high-burden group and low-burden group. In the result of the multiple logistic regression analysis, family caregiver financial burden was significantly higher in family caregivers with ages 40 to 49 compared to less than 40, lower educational level, unsatisfaction for long-term care service, high percentage(more than 50%) of cost-sharing and high total out-of pocket expenses(more than 300,000 won) for long-term care services. Also, Family caregivers who are spouse felt higher financial burden compared to son. This study is meaningful as the first attempt to measure family caregiver financial burden for long-term care service and to identify factors affecting the financial burden. Family caregivers felt financial burden of out-of pocket expenses for the nursing home service. The policy makers, the insurer, and the providers need to pay attention to ease family caregiver financial burden.

• Journal of Distribution Science
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• v.21 no.1
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• pp.53-63
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• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.