• Journal of Distribution Science
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• v.6 no.1
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• pp.63-77
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• 2008

The source of a business competition is man and the core of a business success depends on people's ability, efforts and cooperation. Therefore, modern managers are making varied efforts to perform the ethical management for the organization immersion and job satisfaction of the employees. The managers of the financial agencies including the enterprises competing in the global market, face numerous ethical issues and problems. Considering the reality that financial institutions are actively asked to perform the responsibility and duties sincerely, the tasks how the head of financial agency will accept the social study of the level of ethics and change the level of recognition, and how he will settle it as the natural feature in the institution, become an important management target. In addition, it is necessary to figure out how the ethical management of the head of the financial agency will affect the organizational immersion of the employees. Based on the objective of this study, we attempted to confirm how the ethical management will of the head of the financial institution would affect the organizational immersion, the employees' mental result variables. Through this study, it became necessary for the directors of the financial institutions to search for the methods to improve the system of management and enhance the observance will of the business ethics so that they may not cause the disposition of the violation of the business ethics owing to the enforcement to achieve the target of the results of the business or the error recognition of the norm. Further, the heads of banks will have to set a management policy focused on the democratic management and the ethical justice based on the participating methods to induce the cooperative commitment of the stock company employees not to be shifted from the globalization and the competitive society.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.117-141
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• 2006

Daily sales volume in retailers seems to be changed because of five-days-work in a week resulting in growth of leisure time in Korea recently. The day of the week effect of sales volume that can not be theoretically explained, which sales pattern varies depending on days systematically and consistently, is so important. Especially the day of the week effect of sales volume exists in which retail branch and the extents of the day of the week effect from the perspective of marketing in retailing is very important. Thus, the purpose of this study was to investigate whether the day of the week effect of sales volume exists in men's clothing retailers and if so, there is difference in daily sales volume. There was insufficient researches in the field of anomaly such as the day of the week effect of sales volume in marketing. For this reason, this study has drawn upon research findings of finance, general demand theory, and previous studies of the day of the week effect in stock markets. In doing so, these works are referenced in theoretical background and applicability in retailing market of this study. This study empirically investigated the day of the week effect of sales volume through the revenues of a men's clothing retailers (P company) in past five years. As the result of this study, the day of the week effect of sales volume existed in men's clothing retailers and the day of the week effect showed positive from Monday to Sunday, which means Sunday, the biggest. Also, the day of the week effect by season was different. The result of this study is expected to provide some helpful evidence that offers effective operational strategies to retailers.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.831-841
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• 2017

The irrational number ${\pi}$ is defined as the ratio of circumference of a circle to its radius and always becomes constant. This article does Monte Carlo approximation of its value using the famous Buffon's needle experiment and shows that its convergence is not always proportional to the sample size. We also do Monte Carlo simulations to see the convergence of the computed ${\pi}$ values from the random walk series with independent normal increment. Finally we apply the theoretical derivation to various financial time series data such as KOSPI, stock prices of Korean big firms, global stock indices and major foreign exchange rates. The historical data shows that log transformed data random walk process but most of their first lagged data don't follow a normal distribution. More importantly the computed value from the ratio of the regression coefficient ${\pi}$ tend to converge a constant, unfortunately not ${\pi}$. Using this result we could doubt on the efficient market hypothesis, and relate the degree of the hypothesis with the amount of deviation of the estimated ${\pi}$ values.