• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.215-224
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• 2021

This article emphasizes the consequences of exploring the relationship between sustainable development practices and non-financial performing factors. Also, it investigates the combined effects of the transformational leadership style on the relationship between sustainable development practices and non-financial performing factors. Using primary data sources, this study reviews the literature on the relationship between the factors of the effectiveness of sustainable development practices of Jordanian contractors and non-financial performance. A total of 290 questionnaires were personally distributed to contractors in the Amman district in Jordan. Only 253 questionnaires were returned and usable for further analysis, which represents a response rate of 87%. Data was collected from October 2020 until April 2020. Hypotheses were tested through multiple regression analysis, and hypotheses for interacting effect were examined through hierarchical multiple regression analysis. Based on the results of the analysis obtained there is a significant effect on the relationship between sustainable development and non-financial performances. It shows that construction companies involved in sustainability practices will able to improve their performance, which contributed significantly toward the overall firm's performance. Whereas, results from hierarchical multiple regressions showed that transformational leadership had no moderation effect on the non-financial performance in such a way that reaches a higher firm performance level.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.145-151
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• 2023

Financial literacy (FL) is significant, as educated investors have a culture of savings and investment. The current study was conducted to identify the level of Orientation toward finance (ORTOFIN) and its impact on specific financial behavior variables like Financial Literacy (FL) and Intention towards investment (ITI). Data was randomly collected from 210 gainfully employed respondents using three standardized questionnaires. Demographics of the respondents were also collected. The data was analyzed using correlation and regression. The variables include ORTOFIN, Financial Literacy, and Intention towards Investment, while the control variables include gender, age, qualification, years of experience, and type of industry working. The results of the study show that all three variables (ORTOFIN, FL, and ITI) had significant relationships among themselves. In addition, it as has been found that ORTOFIN and FL positively influence investment intention. The finding that ORTOFIN and literacy are related to investment intention is new, as no past studies have examined this aspect, which is unique. The study also discusses the implications and limitations of the study, such as the impact of family involvement. It thus indicates a positive effect of the variables studied on investment intentions. The study is expected to stimulate further empirical examination of the variables.

• The Korean Journal of Franchise Management
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• v.15 no.1
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• pp.61-78
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• 2024

Purpose: Dining out at restaurants was limited during the COVID-19 period. In order to confirm the impact of COVID-19 on the chicken market, this study selected three chicken companies, Kyochon, BBQ, and BHC, and conducted financial statement analysis and regression analysis. Research design and methodology: Each company's financial statements were divided into before and after COVID-19, and the rate of change and financial ratio for each item were calculated to see if there were any significant changes, and the impact of COVID-19 on each company's sales was identified through regression analysis. Result: As a result of the study, the increase in sales and assets of each company continued, and the influence of COVID-19 could be confirmed through regression analysis. It can be inferred that COVID-19 indeed affected the expansion of the chicken market. Conclusion: Therefore, it was confirmed through this study that COVID-19 had a significant effect on the growth of the chicken market. While individual chicken small business owners are grappling with declining sales per outlet, the decline of commercial areas, and a surge in closures, the broader chicken franchise industry is witnessing a surge in demand and business expansion prompted by the pandemic.

• International Journal of Costume and Fashion
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• v.17 no.1
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• pp.17-28
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• 2017

The objective of this study is to investigate the effects of advertising expenses of fashion companies on sales from a financial viewpoint. To do so, the advertising expenses and the sales of 194 manufacturing and distribution companies in the fashion industry, as per the income statements posted by the individual companies, were analyzed. The results are as follows. First, there was a statistically significant correlation between advertising expenses and sales. The higher the advertising expenses, the higher the sales. Second, there was no statistically significant differences between companies with different sizes of sales. Third, the effects of advertising expenses on sales of fashion companies were statistically significant. The higher the increase of the ratio of advertising expenses, the higher the increase of the ratio of sales, and vice versa. This study differs from others in that it uses financial data, which has been neglected in previous studies regarding the fashion industry, to analyze the relationship between advertisement and sales. It will lend help to fashion companies seeking to rationally manage advertising expenses and come up with effective advertising policies.

• Journal of the Korean Society of Safety
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• v.14 no.2
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• pp.140-147
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• 1999

Currently, the consumer pattern is directed to small quantity and high variety these days. World market is led by technological innovations and changes rapidly. To survive in this environment, the raising of small and medium enterprises is highly desirable. In the context of nationwide restructuring, competitive medium and small industries which are in good financial status should lead the nation's economy. But general ignorance of the safety issues could lead to a miss management of this industry in this field. In this study, actual condition and improvement of safety management are as follows; We have to 1) find out the factors which endangers this industry, and set a proper guideline for safety management. 2) encourage safety management of these industries by themselves, and advertise and provide technical support for using PC and internet. 3) set a higher standard of safety issue when accrediting a prospective medium and small industry, and have a firm control of this issue once accredited. 4) supply more governmental financial aids to terms of safety issues for medium and small industries.

• Journal of Distribution Science
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• v.14 no.7
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• pp.45-52
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• 2016

Purpose - The purpose of the paper is to look into and review the management and operation of Chinese infrastructure process, especially focusing on port industry. Research design, data and methodology - The research methods to be applied is to examine PPPs that is a key way of cooperation in many infrastructure investment, financial matters, and then port industry as well. Results - It is well noticed that Chinese government has well managed with project, planning and investments in national infrastructure matters. Especially, this is clear message that government institutions for infrastructure planning has been well organized with systematic structure. However, even if it is involved with some risky business, PPPs should be asked for cooperation in the areas of financial, institutional and logistic part of infrastructure development in China. Conclusions - Every country has been in promoting its infrastructure development and it is not an exception in China. In order to get over inefficiency done by public sectors, Chinese government has invited a private sector in the form of PPPs, which gives more competitive opportunities, especially in port industry.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.153-164
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• 2012

There is a belief that timely and precise data are important to decisions and the better decisions are related to better firm performance. However, empirical research investigating the effect of data quality on firm financial performance is still scarce up to recently. Current study empirically explores such an effect of data quality on firm accounting performance in the Korean manufacturing industry during 2008~2010 with secondary data. The results show that better data quality does not impact on sales and operating profit, but positively and significantly impacts on EVA(Economic Value Added). Raising the level of data quality management maturity by one level can increase EVA by about 34% in manufacturing firms.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.131-135
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• 2009

Domestic construction industry is facing big difficulties by a worldwide financial crisis. Especially the deterioration of liquidity by the reject of banks for project financing and unsold housing project made a big problem on financing for the ongoing and new projects. To solve this, it is critical for construction companies. banking facilities and public organizations to cooperate and support each other. In this study, the methods which each part can do are investigated. Construction companies can do a price reduction, finance condition improvement for deposit and down payment, asset sale and cost reduction. And Public organizations can buy the assets of construction companies with proper price and ease the regulation to activate transactions of real estate. In the case of Banking facilities, they can support arrangement and liquidation of insolvent projects and so on.

• Journal of Information Technology Services
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• v.5 no.1
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• pp.35-46
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• 2006

In recent years, academic scholars and practitioners have given increasing attention to the importance of strategic performance measurement systems including both financial and non-financial performance metrics. The Balanced Scorecard (BSC) is known as integrated performance management framework that helps an enterprise to translate strategic objectives into relevant performance within an organization. While the current literatures and management articles offer BSC design and implementation. there are few reports of detailed validation of using the rationalized sets of CSF (Critical Success Factors) and KPI (Key Performance Indicators) for the Korean construction industry. This paper first propose the perceived sets of CSF/KPI using current literatures and validate with a major construction company's executives and senior managers in Korea. The paper then examines whether the perceived sets of CSF/KPI have co-relationships with the firm performances. The results of the research contribute in heightening of competitiveness of the Korean construction companies in strategic and performance management.

• Journal of Distribution Science
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• v.12 no.11
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• pp.77-83
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• 2014

Purpose - The National Agricultural Cooperative Federation of Korea and National Fisheries Cooperative Federation of Korea have prosecuted both financial and retail businesses. As cooperatives are public institutions and receive government support, their sound management is required by the Financial Supervisory Service in Korea. This is mainly managed by CAEL, which is changed by CAMEL. However, NFFC's business section, managing the finance and retail businesses, is unified and evaluated; the CAEL model has an insufficient classification to evaluate the retail industry. First, there is discrimination power as regards CAEL. Although the retail business sector union can receive a higher rating on a CAEL model, defaults have often been reported. Therefore, a default prediction model is needed to support a CAEL model. As we have the default prediction model using a subdivision of indexes and statistical methods, it can be useful to have a prevention function through the estimation of the retail sector's default probability. Second, separating the difference between the finance and retail business sectors is necessary. Their businesses have different characteristics. Based on various management indexes that have been systematically managed by the National Fisheries Cooperative Federation of Korea, our model predicts retail default, and is better than the CAEL model in its failure prediction because it has various discriminative financial ratios reflecting the retail industry situation. Research design, data, and methodology - The model to predict retail default was presented using logistic analysis. To develop the predictive model, we use the retail financial statements of the NFCF. We consider 93 unions each year from 2006 to 2012 to select confident management indexes. We also adapted the statistical power analysis that is a t-test, logit analysis, AR (accuracy ratio), and AUROC (Area Under Receiver Operating Characteristic) analysis. Finally, through the multivariate logistic model, we show that it is excellent in its discrimination power and higher in its hit ratio for default prediction. We also evaluate its usefulness. Results - The statistical power analysis using the AR (AUROC) method on the short term model shows that the logistic model has excellent discrimination power, with 84.6%. Further, it is higher in its hit ratio for failure (prediction) of total model, at 94%, indicating that it is temporally stable and useful for evaluating the management status of retail institutions. Conclusions - This model is useful for evaluating the management status of retail union institutions. First, subdividing CAEL evaluation is required. The existing CAEL evaluation is underdeveloped, and discrimination power falls. Second, efforts to develop a varied and rational management index are continuously required. An index reflecting retail industry characteristics needs to be developed. However, extending this study will need the following. First, it will require a complementary default model reflecting size differences. Second, in the case of small and medium retail, it will need non-financial information. Therefore, it will be a hybrid default model reflecting financial and non-financial information.