• Management & Information Systems Review
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• v.34 no.3
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• pp.61-78
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• 2015

The purpose of this study is to analyze the impact of cash holdings on internationalization of listed manufacturing firms. We explore moderating effect of managerial ownership between cash holdings and internationalization of firms. We analysed cross-sectional data of 645 listed companies from 2000 to 2013 using the fixed effects estimation. Empirical results showed that the there was a positive significant relation between cash holdings and internationalization of firms This study also found that managerial ownership have a significant negative moderating effects in the pathway between cash holdings and internationalization Cash liquidities can be rapidly induced internationalization. Managerial ownership increase agency cost, therefore, it might have a negative effects on internationalization These results suggest that agency cost with cash holdings is very important for cash management.

• Management & Information Systems Review
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• v.36 no.1
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• pp.233-249
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• 2017

This study investigates the relation of managerial ability and firm performance in case of Chaebol in Korea. We employ non-financing firms at Korean markets for the period 2000-2015. Most important decision is made by the head of Chaebol which increases firm value eventually and he has such a strong dominant power that managers belongs to Chaebol have to follow mother firm's decision directions. So it is expected that managers belongs to Chaebol have to focus on long term performance rather than short term profits, which means they concentrate their managerial ability much on the firm value. Otherwise, managers in which non-Chaebol focus their ability on periodic accounting earnings. Thus, this study examines an empirical analysis on the relation of managerial ability and firm performance and the effect of Chaebol on the relation of managerial ability and firm performance. Empirical results are as follows: First, there exists a statistically significant positive relation between managerial ability and firm performance either short- or long-term. Second, we extend this relationship into Chaebol condition and find that managerial ability of Chaebol positively influences on the firm value which is long-term performance, rather than return on assets which is short-term performance. These results imply that managers belongs to Chaebol much concentrate their ability on long-term value which is differenciated from the case of non-Chaebol samples. Chaebol is an important issue in Korea because it dominates most of Korean local economy so its' impact from small changes on our economy is big enough. Our study examining the relationships between managerial ability of Chaebol and firm performance is meaningful and it is a good signal that they concentrate their ability much on the long-term value rather than short-term profits. We expect that the results of this study will provide the academic and practical references. This study will contribute to the future research in accounting through an analysis of managerial ability which is a new measure, Chaebol, and firm value.

• Information Systems Review
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• v.11 no.2
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• pp.169-182
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• 2009

Due to natural oligopolistic industry characteristics and huge influences on national and home economy, Telco Industry is regarded as a regulated industry. Thus, telco companies, including CATV, prepare not only management accounting reports for internal use but also regulatory accounting reports to be submitted to the regulatory agency. For telco companies, smooth integration of these financial, managerial and regulatory reporting requirements with legacies such as billing system, network operating systems is important to achieve operational efficiency and overall competency. This research studies telco ERP cost module implementation in order to provide theoretical and practical guidance for integrated information system. Especially, case analysis focuses on cost reduction and network costing implementation that involves Building Block Costing methodologies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.48
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• pp.73-87
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• 1998

Recently the international transfer pricing became the most popular topic in accounting of the research as well as of the practice. Modern corporations have been experiencing a lot of changes in managerial control technique as their scale and scope of activities grows and the environment in which they operate changes rapidly. If there are internal transactions in a decentralized firm, the necessity of coordination among the divisions is inevitable. Transfer pricing in a decentalized company provides an excellent example of the coordinating role of information. One of the most important reason for a form to have a decentalized structure is the improved decision making at the lower level due to better access to information. International transfer pricing is not merely a problem of pricing but coordination of transfers and other collective or individual actions to derive rents from intergration. Such coordination can be achived through the performance evaluation scheme which is partly based upon transfer price.

• Management & Information Systems Review
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• v.31 no.1
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• pp.45-63
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• 2012

The purpose of this study is to investigated the association between the percentage of common stock held by a company's CEO and measure firm performance in down and up markets. We found that managerial ownership is associated positively with firm performance. We also found that although firms with high insider ownership generally outperform other firms, this relationship is diminished in down markets and is increased in up market. These results suggest that investment strategies based on the assumption that high insider ownership is associated positively with financial performance may be faulty in declining market.

• The Journal of Information Systems
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• v.10 no.1
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• pp.323-352
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• 2001

Venture business plays a great role in creating national competitive power in every country. In particular, software venture business can mostly belong to manufacturing business, and takes the top seat of core industry as the basis of globalization, informatization and localization as well as the driving force of national competitive power. However, software venture business still has some risks in the whole area of business administration including the process of business starting. There are also problems to be solved in such areas as manager's ability, leadership, talent, level of technical development, marketing channel, recruiting of marketing specialists, financial plan and fund raising. In this respect, this study divides 102 software venture businesses into two; business in the stage of growth and matured business through the analysis of questionnaire and analyzes their present managerial conditions according to their characteristics after classifying them into four categories such as general management, technical development, marketing, finance and accounting. Therefore, this study attempts to provide the basic data useful for business activities of software venture business from now on. The results are as follows; First, it can be judged that software venture businesses make efforts for their technical development in their character, and that they make a great investment in research and development. Consequently, it can be believed that this kind of investment must be continued in the future. Second, it can be seen that they are not much interested in marketing and its manpower. In fact, software venture businesses develop products technically at the risk of their life, while marketing plays an important role in the continuity of business. Thus, it is necessary for them to invest in the supplement of manpower in marketing. Third, it is observed that they generally have some difficulties in raising money from outside. By the way, it. is believed that this problem will be solved by appealing to the persons interested such as investors and creditors, if evaluation system would be developed more exquisitely so that their accounting and technical value may be appraised.

• Management & Information Systems Review
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• v.37 no.1
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• pp.103-122
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• 2018

This paper expands the results of previous studies indicating that manager's ability positively affects business performance to analyze whether the degree to which the role of manager's ability improves business performance appears differently according to the characteristics of enterprises. As for the characteristics of enterprises, whether enterprises correspond to enterprises with high levels of funding constraints or late movers in the market is considered. Enterprises with high levels of funding constraints greatly require managers' roles not only for efficient use of funds but also for smooth financing. Late movers require more judgments of professional managers to overcome insufficient resources held and low profitability. In the case of enterprises with corporate characteristics with high dependency on the manager, the business performance is expected to greatly vary with the ability of the manager. The empirical analysis was conducted with listed companies from 2010 to 2014, manager's ability was measured by first measuring the efficiency of the entire enterprise through data envelopment analysis (DEA) using the methodology of Demerjian et al.(2012) and removing enterprise characteristics factors thereafter. Business performance was measured by the return on industrial fixed assets. The results of the empirical analysis indicated that the degree to which manager's ability improves business performance was higher in managerial competence enhances managerial performance in enterprises with high levels of funding constraints and late movers. Business performance is considered to have been improved further in cases where manager's ability is high because investments were made more efficiently through smooth funding. In addition, in the case of late movers in relatively poor environments, business performance was improved further because high manager's ability induced efficient decision making. In this paper, we extend the precedent study that the manager's ability improves the management performance, and confirm that the manager's ability to improve the managerial performance can be different according to the situation of the company. In addition, it is meaningful to analyze empirically whether a company's managerial ability is more important. This paper expanded the results of previous studies indicating that manager's ability improves performance to identify that the degree to which manager's ability improves business performance may appear differently according to situations in which enterprises are placed. In addition, this paper is meaningful in that it empirically analyzed what enterprises require manager's ability more importantly.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.249-260
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• 2019

The study examines the impact of financial risk, convenience risk, non-delivery risk; return policy risk and product risk on online consumer behavior of Malaysian consumers. The research employed a self-administered survey to collect empirical data from 245 Malaysian online shoppers by using convenience sampling. Cronbach alpha was calculated to confirm the reliability of the data and then normality was assessed. Confirmatory Factor Analysis was then conducted to test the model using the goodness-of-fit tests. And finally, structural equation modeling is used to test the hypotheses and draw conclusions. IBM SPSS AMOS version 22.0 was utilized for data analysis. The research indicates that product risk, convenience risk, and return policy risk have a significant and positive impact on online shopping behavior. Financial risk is found to have insignificant and negative effects on consumer behavior. In addition, the non-delivery risk is found to have a significant and negative impact on online shopping behavior. The findings provide a useful model for measuring and managing perceived risk in online shopping which may result in an increase in participation of Malaysian consumers and reduce their cognitive deficiencies in the e-commerce environment. Several managerial implications are discussed along with the scope for future research.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.225-237
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• 2022

The term "artificial intelligence" is considered a component of sophisticated technological developments, and several intelligent tools have been developed to assist organizations and entrepreneurs in making business decisions. Artificial intelligence (AI) is defined as the concept of transforming inanimate objects into intelligent beings that can reason in the same way that humans do. Computer systems can imitate a variety of human intelligence activities, including learning, reasoning, problem-solving, speech recognition, and planning. This study's objective is to provide responses to the questions: Which factors should be taken into account while deciding whether or not to use AI applications? What role do these elements have in AI application adoption? However, this study proposes a framework to explore the significance and relation of success factors to AI adoption based on the technology-organization-environment model. Ten critical factors related to AI adoption are identified. The framework is empirically tested with data collected by mail surveying organizations in Vietnam. Structural Equation Modeling is applied to analyze the data. The results indicate that Technical compatibility, Relative advantage, Technical complexity, Technical capability, Managerial capability, Organizational readiness, Government involvement, Market uncertainty, and Vendor partnership are significantly related to AI applications adoption.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.67-84
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• 2010

In terms of business, forecasting is a work of what is expected to happen in the future to make managerial decisions and plans. Therefore, the accurate forecasting is very important for major managerial decision making and is the basis for making various strategies of business. But it is very difficult to make an unbiased and consistent estimate because of uncertainty and complexity in the future business environment. That is why we should use scientific forecasting model to support business decision making, and make an effort to minimize the model's forecasting error which is difference between observation and estimator. Nevertheless, minimizing the error is not an easy task. Case-based reasoning is a problem solving method that utilizes the past similar case to solve the current problem. To build the successful case-based reasoning models, retrieving the case not only the most similar case but also the most relevant case is very important. To retrieve the similar and relevant case from past cases, the measurement of similarities between cases is an important key factor. Especially, if the cases contain symbolic data, it is more difficult to measure the distances. The purpose of this study is to improve the forecasting accuracy of case-based reasoning approach using fuzzy relation and composition. Especially, two methods are adopted to measure the similarity between cases containing symbolic data. One is to deduct the similarity matrix following binary logic(the judgment of sameness between two symbolic data), the other is to deduct the similarity matrix following fuzzy relation and composition. This study is conducted in the following order; data gathering and preprocessing, model building and analysis, validation analysis, conclusion. First, in the progress of data gathering and preprocessing we collect data set including categorical dependent variables. Also, the data set gathered is cross-section data and independent variables of the data set include several qualitative variables expressed symbolic data. The research data consists of many financial ratios and the corresponding bond ratings of Korean companies. The ratings we employ in this study cover all bonds rated by one of the bond rating agencies in Korea. Our total sample includes 1,816 companies whose commercial papers have been rated in the period 1997~2000. Credit grades are defined as outputs and classified into 5 rating categories(A1, A2, A3, B, C) according to credit levels. Second, in the progress of model building and analysis we deduct the similarity matrix following binary logic and fuzzy composition to measure the similarity between cases containing symbolic data. In this process, the used types of fuzzy composition are max-min, max-product, max-average. And then, the analysis is carried out by case-based reasoning approach with the deducted similarity matrix. Third, in the progress of validation analysis we verify the validation of model through McNemar test based on hit ratio. Finally, we draw a conclusion from the study. As a result, the similarity measuring method using fuzzy relation and composition shows good forecasting performance compared to the similarity measuring method using binary logic for similarity measurement between two symbolic data. But the results of the analysis are not statistically significant in forecasting performance among the types of fuzzy composition. The contributions of this study are as follows. We propose another methodology that fuzzy relation and fuzzy composition could be applied for the similarity measurement between two symbolic data. That is the most important factor to build case-based reasoning model.