• Knowledge Management Research
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• v.21 no.3
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• pp.177-195
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• 2020

The social consciousness on fake reviews has triggered researchers to suggest ways to cope with them by analyzing contents of fake reviews or finding ways to discover them by means of structural characteristics of them. This research tried to collect data from blog posts in Naver and detect habitual patterns users use unconsciously by variables extracted from blogs and blog posts by a machine learning model and wanted to use the technique in predicting fake reviews. Data analysis showed that there was a very high relationship between the number of all the posts registered in the blog of the writer of the related writing and the date when it was registered. And, it was found that, as model to detect advertising reviews, Random Forest is the most suitable. If a review is predicted to be an advertising one by the model suggested in this research, it is very likely that it is fake review, and that it violates the guidelines on investigation into markings and advertising regarding recommendation and guarantee in the Law of Marking and Advertising. The fact that, instead of using analysis of morphemes in contents of writings, this research adopts behavior analysis of the writer, and, based on such an approach, collects characteristic data of blogs and blog posts not by manual works, but by automated system, and discerns whether a certain writing is advertising or not is expected to have positive effects on improving efficiency and effectiveness in detecting fake reviews.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.31-40
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• 2017

This study validate effectiveness of Online Entrepreneurship Education based on PBL(Problem-based Learning) and flipped learning. This study reveals online education of entrepreneurship based on PBL and flipped learning method has positive effect on personal entrepreneurship, will to be an entrepreneur, and problem-solving skills. First, the results show that entrepreneurship education based on PBL and flipped learning can improve entrepreneurship more than a previous learning method. Second, PBL and flipped learning based online education affects will to be an entrepreneur in positive way. Experimental group who experienced problem solving activity and flipped learning has more will to be entrepreneur than control group who takes previous learning method. Lastly, PBL and flipped learning method based entrepreneurship education also has positive effect on personal problem-solving techniques. This results show that online entrepreneurship education based on PBL and flipped learning has positive impacts on entrepreneurship, will to be an entrepreneur, and improving problem-solving skills significantly.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.4
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• pp.117-128
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• 2018

Various government support policies are being promoted in order to stimulate growth of SMEs. The government is striving to provide effective support through direct methods of tax, finance and indirect methods through support programs. However, the view on the government's startup policy is still tense. We are sympathetic with the need for support, but discussions continue to be made on the effectiveness of support projects and support projects. Therefore, this study evaluates the importance and satisfaction of the government start-up support project. For this purpose, we conducted questionnaires on ICT start-ups who have experienced government start-up support projects. Of these, 128 were analyzed for GAP analysis and ISA. As a result of the GAP analysis of the government start - up support project, the degree of satisfaction (4.408) was lower than the degree of importance (5.221), confirming that the beneficiary's evaluation on the start-up support project was negative. As a result of the importance-satisfaction analysis, 'R&D' and 'commercialization' are located in the maintenance area, and 'government funding', 'marketing, overseas advancement' projects are included in the concentrated area. In the low-ranking areas, there are 'entrepreneur events and networks' items. Finally, there are 'facilities and spaces', 'mentoring and consulting', and 'entrepreneurship education' in the surplus areas. As a result of multiple regression analysis, it was found that 'R&D', 'entrepreneurial education', and 'government funding' influenced satisfaction. Based on the results of this study, it is expected that it will contribute to improving the quality level of the government start-up support project by establishing the support policy for the ICT start-up enterprises and improving the system.

• Journal of Distribution Science
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• v.10 no.11
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• pp.89-99
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• 2012

Purpose - Mobile devices, especially mobile terminals capable of telecommunication and wireless connectivity, are leading the advancements in consumer electronics. Digital convergence drives the functions of various devices, such as cellular phones, MP3 players, personal digital assistants, and gaming, into a single device. This trend would continue and applications such as digital audio and video streaming (including personalized content delivery mechanisms) would soon be on a handheld device. As customers want mobile convergence devices, manufacturers are driving new initiatives in the emerging mobile device market. Given the roles played by device design and service content in user satisfaction of a mobile convergence device, this study focuses on identifying and measuring the constructs for the process by which user satisfaction is achieved. This study synthesizes the expectation-disconfirmation paradigm with empirical theories in user satisfaction. Device and service levels are separated, and nine key constructs for user satisfaction of mobile convergence devices are proposed. Insight into this process could help web-based businesses to improve user satisfaction, thus enhancing the effectiveness of e-commerce for sellers and buyers. Research design, data, methodology - This study draws on three users of mobile convergence devices as examples. To test there search model and hypotheses, survey questionnaires were sent to 607 mobile device users. Mobile device users were initially identified from several members, and subjects were randomly drawn. Data from 577 survey responses were finally analyzed. The unit of measurement and analysis in this research study is at a personal level. Results - The measurements for the constructs were developed and tested in a two-phase study. In the first phase, the device and service dimensions were identified, and instruments for measuring them were developed and tested. In the second phase, using the salient dimensions of the device and service as the formulating first-order factors, instruments were developed and empirically tested to measure satisfaction of the device and service. In measuring satisfaction of mobile convergence devices, the critical tasks are to identify the key constructs of such user satisfaction and to develop validated instruments to measure them. Hence, the results of this study have immediate implications for businesses and for research in user satisfaction of mobile convergence devices. Conclusions - This study provides reliable instruments for operationalizing key constructs in the analysis of user satisfaction of mobile convergence devices within the expectation-disconfirmation paradigm. Hence, convergence device makers will be able to examine whether their websites meet their customers' expectations by examining the device aspect of the mobile convergence device customers, and the service aspect expectations and disconfirmation. Moreover, the introduction of expectation and disconfirmation constructs brings the marketing aspect of convergence devices into focus for such retailers, an aspect crucial to the effective design of websites for online businesses. In addition,this study provides the metrics required to initiate future studies on user satisfaction of mobile convergence devices.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.275-285
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• 2015

The purpose of this study is to investigate the relationship among app's and user's characteristics, perceived use easiness, use intention, and actual use in mobile app of integrated electronic tax bill. Appropriate measures were developed and this study used structural equation modeling to analyze the relationships among the constructs. The results of 215 taxpayers showed that informativeness, security of app's characteristics, and innovativeness of user's characteristics have positive impacts on perceived use easiness but convenience and familiarity have negative impacts on it. Perceived use easiness, convenience, and security have positive impacts on use intention but familiarity has a negative impact on it. Use intention has a positive impact on actual use but perceived use easiness has a negative impact on it. Thus, managers should focus on the app's and user's characteristics for effectiveness and efficiency of integrated electronic tax bill.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.167-198
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• 2011

The Korean government recently announced greenhouse gases (GHG) emissions reduction target as 30% of 2020 business as usual (BAU) emission projection. As carbon emissions trading is widely used to achieve reductions in the emissions of pollutants, this study deals with the sectoral allocation of initial carbon emission permits in Korea. This research tests the effectiveness of a variety of allocation rules based on the bankruptcy problem in cooperative game theory and hybrid input-output tables which combines environmental statistics with input-output tables. The impact of initial emission permits allocation on economic growth is also analyzed through green growth accounting. According to the analysis result, annual GDP growth rate of Korea is expected to be 4.03%, 4.23%, and 3.67% under Proportional, Constrained Equal Awards, and Constrained Equal Losses rules, respectively. These rates are approximately from 0.69% points to 0.13% points lower than the growth rate of 4.36% without compulsory $CO_2$ reduction. Thus, CEA rule is the most favorable in terms of GDP growth. This study confirms the importance of industry level study on the carbon reduction plan and initial carbon emission permits should reflect the characteristic of each industry.

• Journal of the Korean association of regional geographers
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• v.18 no.2
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• pp.141-160
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• 2012

This paper evaluates the governance of the Andong International Mask Dance Festival. The evaluation focuses on mutual cross-assessment of agents engaging in governance relating to four elements: social justification, reliability, professionalism and transparency. Governance based on co-operative partnership was the essential factor leading to the mask festival's success. Governance of the Andong International Mask Dance Festival in 2011 was privately initiated governance having horizontal and open partnership among festival specialists, civil society organizations, regional business organizations, volunteers and local government, with the Andong Festival Tourism Foundation as the central figure. Three of governance elements were successfully carried through; the exception was transparency. The agents who gave more positive evaluations were those who played leading roles in planning and conducting events, as well as in assessing those events. The reasons for positively assessing the elements are the significance of the festival and the guarantee of agents' participation in social justification; the ability of agents, as well as cognitional and institutional trust in reliability; expert knowledge, capacity to suggest alternatives and duality of business in professionalism; and effective communication, the guarantee of opening of information and information sharing in transparency. To improve the effectiveness of governance, the system for allowing passive agents to contribute usefully should be strengthened. Mutual communication and sharing of information among agents, as well as between agents and residents, also should be more strongly reinforced.

• Journal of Service Research and Studies
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• v.8 no.1
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• pp.103-122
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• 2018

The purpose of this study is to present the direction of ELS investment by analyzing the actual investment return of the ELS commodities and analyzing the investment effect of ELS that investors have felt unsatisfactory at financial marketing service. The research method is based on the step-down type ELS. We calculated the probability of achieving early redemption condition and maturity repayment condition, early redemption estimated yield, and maturity repayment estimated yield. As the study result, the probability of achieving 100% of the early redemption condition was 74.5%, and the probability of the early redemption condition 95% was 83.0%, 90% was 89.5%, 85% was 92.5%, and 80% was 96.5% respectively. In the case of the lowest 75%, the probability of holding to maturity is analyzed to be 2.5%, and the probability of early redemption is high. The probability of the stock price growth within 65% of the maturity repayment condition was 98.5% and the probability of the stock price growth within 60%~45% of the maturity repayment condition was 100%. 65% of maturity repayment condition was analyzed as 1.5% risk of principal loss, and the probability of achieving the committed yield of maturity was high. As a key measure of ELS investment, it is advantageous to select a commodity with a low rate of maturity repayment and a high rate of early redemption.

• The Journal of Society for e-Business Studies
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• v.8 no.4
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• pp.69-88
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• 2003

In high dimensional data, most of clustering algorithms tend to degrade the performance rapidly because of nature of sparsity and amount of noise. Recently, partial dimensional clustering algorithms have been studied, which have good performance in clustering. These algorithms select the dimensional data closely related to clustering but discard the dimensional data which are not directly related to clustering in entire dimensional data. However, the traditional algorithms have some problems. At first, the algorithms employ grid based techniques but the large amount of grids make worse the performance of algorithm in terms of computational time and memory space. Secondly, the algorithms explore dimensions related to clustering using k-medoid but it is very difficult to determine the best quality of k-medoids in large amount of high dimensional data. In this paper, we propose an efficient partial dimensional clustering algorithm which is called CLIP. CLIP explores dense regions for cluster on a certain dimension. Then, the algorithm probes dense regions on a next dimension. dependent on the dense regions of the explored dimension using incremental projection. CLIP repeats these probing work in all dimensions. Clustering by Incremental projection can prune the search space largely and reduce the computational time considerably. We evaluate the performance(efficiency, effectiveness and accuracy, etc.) of the proposed algorithm compared with other algorithms using common synthetic data.

• Korean Business Review
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• v.18 no.1
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• pp.19-41
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• 2005

The informativeness of accounting earnings to investors may be used as a measure of the quality of accounting information. The ownership structure is considered to be related to both of two variables, the reliability of earnings reflecting the economic performance of the enterprise and the existence of alternative information sources. Earnings manipulation may mitigate the correlation between accounting earnings and the economic performance and alternative information sources decrease the value of accounting earnings as an information. Thus ownership structure could influence the informativeness of accounting earnings. This paper classifies ownership into three categories, management or inside ownership, institutional investors and large outside blockholders, and diffuse outside ownership and examines theoretically the difference of information effectiveness under each ownership structure. The earnings manipulation hypothesis supports the assertion that the separation of ownership from control motivates earnings manipulation. And differential information hypothesis suggests that more non-accounting information of firms with institutional or concentrated outside ownership is provided. Outside blockholders have alternative information sources that make accounting manipulation ineffective. While most previous studies have examined the effect of ownership on the informativeness of earnings from earnings manipulation hypothesis, this study is motivated by both earnings manipulation hypothesis and differential information hypothesis.