• Advances in nano research
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• v.14 no.1
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• pp.67-80
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• 2023

Economic investigation is one of the main issues regarding the design and production of small-scale structures. This paper concerns the creation, implementation, and economic aspects of the cross-section profile of small-scale structures regarding the dynamic response of the free and forced vibration behavior of spinning nanoscale beams based on big data analysis. According to the financial analysis, the three practical non-uniform functions of cross-sections are compared to the uniform beam in the same weight and the equal material used. The previous studies reported that the uniform beams are more stable and contain a better frequency response based on the mechanical analysis. Still, concerning the economic investigation, which means the considered structures should have equal length and have the same weight in the aspect of material used, the conclusion can be different from the mechanical aspect. Consequently, in the current paper, the dynamic response along with computer technology as well as the big data analysis of the free and forced vibration of the nanobeam regarding the economic shape of the cross-section is scrutinized.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.77-90
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• 2023

This study aims to investigate the potential of alternative credit assessment through Social Networking Sites (SNS) as a complementary tool to conventional loan review processes. It seeks to discern the impact of SNS usage characteristics and loan product attributes on credit loan repayment. To achieve this objective, we conducted a binomial logistic regression analysis examining the influence of SNS usage patterns, loan characteristics, and personal attributes on credit loan conditions, utilizing data from Company A's credit loan program, which integrates SNS data into its actual loan review processes. Our findings reveal several noteworthy insights. Firstly, with respect to profile photos that reflect users' personalities and individual characteristics, individuals who choose to upload photos directly connected to their personal lives, such as images of themselves, their private circles (e.g., family and friends), and photos depicting social activities like hobbies, which tend to be favored by individuals with extroverted tendencies, as well as character and humor-themed photos, which are typically favored by individuals with conscientious traits, demonstrate a higher propensity for diligently repaying credit loans. Conversely, the utilization of photos like landscapes or images concealing one's identity did not exhibit a statistically significant causal relationship with loan repayment. Furthermore, a positive correlation was observed between the extent of SNS usage and the likelihood of loan repayment. However, the level of SNS interaction did not exert a significant effect on the probability of loan repayment. This observation may be attributed to the passive nature of the interaction variable, which primarily involves expressing sympathy for other users' comments rather than generating original content. The study also unveiled the statistical significance of loan duration and the number of loans, representing key characteristics of loan portfolios, in influencing credit loan repayment. This underscores the importance of considering loan duration and the quantity of loans as crucial determinants in the design of microcredit products. Among the personal characteristic variables examined, only gender emerged as a significant factor. This implies that the loan program scrutinized in this analysis does not exhibit substantial discrimination based on age and credit scores, as its customer base predominantly consists of individuals in their twenties and thirties with low credit scores, who encounter challenges in securing loans from traditional financial institutions. This research stands out from prior studies by empirically exploring the relationship between SNS usage and credit loan repayment while incorporating variables not typically addressed in existing credit rating research, such as profile pictures. It underscores the significance of harnessing subjective, unstructured information from SNS for loan screening, offering the potential to mitigate the financial disadvantages faced by borrowers with low credit scores or those ensnared in short-term liquidity constraints due to limited credit history a group often referred to as "thin filers." By utilizing such information, these individuals can potentially reduce their credit costs, whereas they are supposed to accrue a more substantial financial history through credit transactions under conventional credit assessment system.

• Journal of Families and Better Life
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• v.28 no.3
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• pp.43-59
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• 2010

This study examined how much support families with pre-school children receive for child care along with the types of support they receive. The paper also investigated the factors that influence the financial and social support received from government, employers and grandparents of the children. Data for this study were obtained from a questionnaire completed by mothers of pre-school children (n=641) during the spring of 2009. The data were analyzed by the following methods: $\chi^2$, t-test, ANOVA, Logit analysis, and Tobit analysis using SPSS and STATA software. The profile of support for child care showed that approximately 33 percent of families with pre-school children received free or subsidized child care from the government, 12 percent received some forms of support for child care from the parents' employers, and 26 percent received support from grandparents either financially or in the form of free child care. The results of the Logit analysis demonstrated that families with pre-school children were more likely to receive child care subsides from the government when they had a higher number of pre-school children and a lower level of family income. The significant factors that influence support from employers were mother's educational level, the number of pre-school children, and family income. The significant factors that affect support from grandparents of the children were the mother's age, the mother's employment status, the type of residence, and the family type.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.439-452
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• 2018

This study aims to empirically structure the patterns of consumption and their effects on depression among the employed baby-boomers who were born in 1955 to in 1963. We used the 5th wave of Korea Retirement and Income Study(KReIS) in 2013 (n=2,585). The Latent Profile Analysis(LPA) estimated the empirical patterns of consumption and then a multiple regression analyzed the effect of consumption patterns on depression. The LPA results showed that the consumption patterns consist of four groups: Basic life-oriented class, Social life-oriented class, Home-based lifestyle class, and Advanced consumption-oriented class. The working baby boomers' depression was associated with their consumption patterns. Specifically, the social life-oriented class showed significantly lower depression than the basic life-oriented class and advanced consumption-oriented class. Other associates with higher levels of depression were found as lower education, having no spouse, lower self-rated health, higher levels of physical limitation, having a diagnosed disability, lower satisfaction with leisure activities, lower income, and lower subjective economic status in this study. Based on the results of this study, we propose the need for specialized financial intervention better for baby-boomers' retirement preparation in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.86-98
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• 2014

This study examined a long-standing issue with its perverse results in the Korean capital markets, such as any variant financial profiles over time, affecting capital structure for the firms belonging to the chaebols. It may be of interest to identify these components from the perspectives of international investors and domestic policy makers to implement their contingent strategies on the target leverage, since the U.S. financial turmoils in the late 2000s. Regarding the evidence from the three hypothesis tests on the firms in the chaebols, this research found that the control variabels measuring profitability, business risk, and non-debt tax shields, showed their statistically significant relationships with the different types of a debt ratio. While FCFF(free cash flow to the firm) showed its significant influence to discriminate between the firms in the chaebols and their counterparts, not belonging to the chaebols, BDRELY as the ratio of liabilities to total assets, comprising the enhanced 'Dupont' system, only showed its statistically significant effect on leverage in the context of the parametric and nonparametric tests. In line with the results obtained from the present research, one may expect that a firm in the Korean chaebol, may control or restructure its present level of capital structure to revert to its target optimal capital structure towards maximizing the shareholders' wealth.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.1-13
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• 2020

This study aims to measure the efficiency and productivity change of 30 domestic construction companies from 2010 to 2018 using data envelopment analysis(DEA) and Malmquist productivity index (MI). In particular, we used the number of employees, capital stock, and non-current assets as input variables, and sales and net income as ouput variables for the analysis. The dataset used for the analysis of efficiency and productivity changes is the employee profile and financial statements for the companies from 2010 to 2018. We found that the MI of the 30 companies is greater than one since 2013. This is because many years of TEC (Technical Efficiency Change) is greater than 1, which means that the productivity index increases as the TEC increases. In addition, the MI value was less than 1, which lowered the productivity of construction firms in 2018. The results of the study may help decision makers to find effective future management plans by analyzing the internal and external factors.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.189-198
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• 2008

At present, companies write daily work record or use bar-code in order to collect distribution flow data in real time. However, it needs additional works to check the record or read the bar-code with a scanner. In this case, human error could decrease accuracy of data and it would cause problems in reliability. To solve this problem, RFID (Radio Frequency Identification) is introduced in many automatic recognition sector recently. RFID is a technology that identification data is inserted into micro-mini IC chip and recognize, trace, and manage object, animal, or person using wireless frequency. This is being emerged as the core technology in future ubiquitous environment. This study is intended to suggest RFID application method in franchise business. Traceability and visibility of individual product are supplied based on EPCglobal network. It includes DW system which supplies various assessment data about product in supply chain, financial transaction system which is based on product transaction and position information, and RFID middleware which refines and divides product data from RFID tag. With the suggested application methods, individual product's profile data are supplied in real time and it would boost reliability to customer and make effective cooperation with existing operation systems (SCM, CRM, and e-Business) possible.

• KDI Journal of Economic Policy
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• v.26 no.1
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• pp.35-69
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• 2004

Using household survey data set during 1993~1998 period, this paper analyzes patterns and determinants of household stock market participation. The results shows that the age profile of stock market participation in Korean household is humped-shaped as in other developed countries. Also, households with a higher level and lower variability of income, bigger financial asset, and higher education level are more likely to be stockholders. The stock market participation rate of the self-employed is substantially lower than that of the employed. In Korea, the high proportion of self-employed among total labor force seems to lower the stock market participation rate.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.365-371
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• 2021

In the wake of several high-profile corporate accounting scandals, there has been evidence that companies are more eager to hire Chief Executive Officers (CEOs) with an accounting background. This signals that CEOs with an accounting background are recognized and trusted by the corporate world to boost the quality of financial reporting of a company. If it is so, in the context of combating the earnings management, hiring CEOs with an accounting background (being a conservative accounting practitioner), could become one of the effective internal corporate governance mechanisms (CGM) to bring down the earnings management activities. This study attempts to provide insight into the level of conservatism of the CEO with an accounting background. Following Basu (1997) and Khan and Watt (2009), the firm-year measure of conservatism (C_Score) was obtained, which later was associated with the accounting education of the CEO to determine their relationship. As expected, CEOs with accounting background exhibit a higher level of moral reasoning than their non - accounting educated counterparts. The finding of this study is useful to persuade the policymaker to consider lifting the trend of hiring a CEO with an accounting background as one of the best practices that the companies can work out to lessen earnings management activities.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.331-339
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• 2021

The youths are characterized by their reckless and ambitious behavior. They exhibit a strong tendency to make risky decisions that may jeopardize their future. These qualities are also in line with their experience-seeking behavior. As young entrepreneurs aim high in profit-seeking activities, their ethical stance may be compromised. Moreover, their money profile increases at an accelerated pace, leading them to love money even more. Quantitatively, this study was the first to investigate the behavior of young entrepreneurs in terms of their love of money, religiosity, and ethical perceptions by adopting the hadith perspective in Islamic tradition by developing the scales of all constructs. The respondents were 261 members of the Indonesian Young Entrepreneur Association in Sulawesi Selatan, Indonesia. This study also examined gender as the moderating variable. This study found that the love of money affects ethical perception negatively; on the other hand, religiosity positively affected ethics. Gender is found to moderate religiosity, but not love of money. These results signify the harmful impact of loving money too much on young entrepreneurs' ethics; furthermore, the scales developed from hadith revelation were able to capture the empirical findings significantly.