• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.229-235
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• 2020

Investors aim to maximize the return rate for their own investment, utilizing various information as possible as they can access. However those investors, especially individual investors, have limitations of interpretation of the domain-specific information or even the acquisition of the information itself. Thus, individual investors tend to make decision affectively and frequently, which may cause a loss in returns. This study aims to analyze analysts' target price and to suggest the strategy that could maximize individual's return rate. Most previous literature revealed that the optimistic bias exists in the analysts' target price and it is also confirmed in this study. In this context, this study suggests the upper limit of target rate of returns and the optimal value named 'alpha(α)' which performs the adjustment of proposed target rate to maximize excess earning returns eventually. To achieve this goal, this study developed an optimization problem using linear programming. Specifically, when the analysts' proposed target rate exceeds 30%, it could be adjusted to the extent of 59% of its own target rate. As apply this strategy, the investors could achieve 1.2% of excess earning rate on average. The result of this study has significance in that the individual investors could utilize analysts' target price practically.

• IE interfaces
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• v.17 no.3
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• pp.314-329
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• 2004

The rapid growth of investments in mobile service to reach a large and growing body of customers, coupled with low communication costs, has made user acceptance an increasingly critical management issue. The study draws upon the task-technology fit (TTF) model as its theoretical basis and its empirical findings to pragmatically explain the key factors that affect the performance and user acceptance of mobile service in medical field. A total of 110 usable responses were obtained. The findings indicate that the task, technology, and individual user characteristics positively affect task-technology fit and mobile service usage. The task-technology fit and mobile service usage are the dominant factors that affect mobile service performance. The result points out the importance of the fit between technologies and users' tasks in achieving individual performance impact from mobile service in medical arena.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.1
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• pp.21-30
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• 2023

Purpose - The purpose of this study is to analyze the factors that influence Korean adults to acquire accounting knowledge. This study, which analyzes the characteristics of accounting knowledge of the general public, is expected to be used as basic data for the development of accounting curricula and education programs necessary for liberal arts courses and individual investor education in the future. Research design, data, and methodology -In this study, correct answer rates in the Economics and Business Literacy Test were analyzed across two rounds of tests. This study have the accounting scores of the applicants as a dependent variable and it aims to estimate key factors that affect accounting scores. Result - The results of regression analysis for individual variables that both the scores from the business administration and the economics, which were estimated to affect accounting performance, were found to have a positive effect. The results of the analysis of the relationship between major and accounting scores showed that the scores of all other majors were lower than those who majored in business. Conclusion - The results of this study suggest several implications in lecturing accounting as a basic or principle. Acquiring basic knowledge in economics and business administration was found to play an important role in understanding accounting ideas, indicating that such activities would be helpful when lecturing on accounting.

• Korean Business Review
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• v.13
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• pp.31-47
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• 2000

Trust has been viewed from many perspectives according to their domains. This article reviewed some of many formerly suggested studies and models. And antecedents of trust, such as trustworthiness(ability, benevolence, integrity) and individual trust propensity as well as their interactions, were respectively and empirically tested in the context of Korean workplaces. Through the factor analysis of field survey(N=243), proposed conceptual independence in trustworthiness was only partially supported. Of the relationships between antecedents and trust, all components of trustworthiness were significantly sustained. While effects of individual trust propensity and its interactions with trustworthiness on trust were not found.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.97-106
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• 2021

The condition of financial services in Indonesia is unique, based on various characteristics, behaviors, and preferences. Therefore, the study of finance and banking is interesting to study as a recommendation for government policies. This paper aims to analyze the barriers to accessing formal financial services in Indonesia and why informal financial services are preferred. This paper presents a case study of financial inclusion in selected provinces in Indonesia using the SOFIA dataset from the Ministry of National Development Planning. Overall, this data consists of 20,000 individuals from 4 provinces and 93 regions representing the population in eastern Indonesia. The analysis was carried out by processing individual-level cross-sectional data surveyed in 2017 using the probit binary logistic method. The results identify the individual barriers in accessing formal financial services, including account ownership, saving, and credit activities in the formal financial institutions, and amplify the image by analyzing what determinants affect people to choose informal institutions. We found that some individual characteristics such as age, gender, education, income, employment status, residence, and access to technology significantly affect the barrier to formal financial services in East Indonesia.

• Journal of Industrial Convergence
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• v.13 no.3
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• pp.41-56
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• 2015

People have relatively continuous and stable characteristic and it can help understand personal attitude and behavior. As individual has individual personality and society has culture, in case of organization, there is organization culture that means unique cultural characteristic. And as if we need to know culture of that society to understand individual, we need to know organization culture of that organization to understand any organization. The reason why organization culture is acknowledged as modern theory of business management is-modern company has proposed management innovation, organization activation, company transformation, and company reprogramming as management strategy to cope actively with various and quickly changing environment that modern company face-that organization culture and management innovation, that is, the concept of new business management is highlighted for means and tools to solve such problems. Seeing contemporary situation, although organization culture of small company is being improved by management innovation, cause and effect that organization culture affect technique innovation still insufficient. The meaning of this research is, through a good example of organization culture, providing reason that efficient organization culture affect technique innovation of small company(medium and small company) and making people understand why this effect occur. Through this, I want to provide strategy and policy implication of company.

• Management & Information Systems Review
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• v.17
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• pp.45-65
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• 2005

The purpose of this study is to contribute to a fundamental prevention of tax avoidance behaviors by individual businesses. For the purpose, this researcher surveyed factors surveyed individual business managers' disposition(type) of tax avoidance to determine factors influencing the avoidance, and proposed direction for further studies. Several hypotheses suggested here were verified to find that factors such as tax system, tax psychology, tax knowledge, social culture and the expectation of tax avoidance had effects on individual businesses' disposition of such avoidance. The multiple regression analysis made here showed that such factors as tax psychology, tax system and the expectation of tax avoidance affected the disposition of such avoidance and that the disposition was most influenced by tax system, followed by the expectation of tax avoidance and tax psychology in order. In conclusion, factors that have positive relations with tax avoidance, or tax burden and tax administration and those that have negative relations, or tax ethics and sanction are not helpful to preventing the avoidance. This is not consistent with previous results. Now behaviors of tax avoidance by individual businesses are prevailing and becoming more serious. In this sense, objective measurement devices should be developed to make possible further scientific studies about such behaviors. For the development, support by appropriate policies is needed.

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.317-332
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• 2020

Purpose - This study examines the information effect and trading behavior of investors for the 430 stock split data from January 2004 to June 2018 in the Korean stock market. Design/methodology/approach - The stock split samples are classified into two groups by split ratio as well as three groups by price level prior to split. We also investigate the trading behavior of investors categorized by institutional versus individual investors. Findings - First, we find a significantly positive information effect on the announcement day. In particular, the information effect is more distinct in the group of larger split ratio and higher price level of stocks. Second, we find a huge increase in turnover following the stock splits, which mainly results from the trading by individual investors. Also, the increase in turnover by individual investors is evident in the group of larger split ratio and higher price level of stocks. Third, the stock splits have a negative impact on the long-term stock performance. The negative buy-and-hold abnormal return(BHAR) makes no difference in the groups by split ratio as well as price level of stocks. Lastly, we find individual investors tend to buy splitted stocks, which exhibit the long-term under-performance. Research implications or Originality - The results in this paper suggest that the liquidity hypothesis is not supported in the Korean stock splits. In addition, we observe that individual investors are exposed to losses due to their unfavorable trading behavior following the stock split.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.339-347
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• 2021

This study aims to forecast the exchange rate by a combination of different models as proposed by Poon and Granger (2003). For this purpose, we include three univariate time series models, i.e., ARIMA, Naïve, Exponential smoothing, and one multivariate model, i.e., NARDL. This is the first of its kind endeavor to combine univariate models along with NARDL to the best of our knowledge. Utilizing monthly data from January 2011 to December 2020, we predict the Pakistani Rupee against the US dollar by a combination of different forecasting techniques. The observations from M1 2020 to M12 2020 are held back for in-sample forecasting. The models are then assessed through equal weightage and var-cor methods. Our results suggest that NARDL outperforms all individual time series models in terms of forecasting the exchange rate. Similarly, the combination of NARDL and Naïve model again outperformed all of the individual as well as combined models with the lowest MAPE value of 0.612 suggesting that the Pakistani Rupee exchange rate against the US Dollar is dependent upon the macro-economic fundamentals and recent observations of the time series. Further evidence shows that the combination of models plays a vital role in forecasting, as stated by Poon and Granger (2003).

• IE interfaces
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• v.20 no.1
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• pp.79-86
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• 2007

In B2B e-commerce environments, many initiatives for process modeling have made efforts to design business processes correctly. Especially, Petri nets have been widely used as a good theory to design and verify process models. Therefore, we propose the process modeling method for the B2B e-commerce based on Petri nets. First of all, a B2B process model based on BPSS is represented by the UML activity diagram. Second, the activity diagram is transformed to a Petri net model. For the transformation, well-behaved building blocks/control structures and the modeling rules for inter-organizational workflow processes are proposed. Third, the process is partitioned into sharable processes for individual business partners. Finally, according to needs of individual business partners, the sharable processes are modified by well-structured refinement rules. The whole procedure is explained with the purchase process of an e-bookstore.