• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.201-219
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• 2014

The Republic of Korea in the real economy to a knowledge economy, and a center of creativity and imagination in the creative economy is changing the paradigm. As the core of creating economic, creative industries with the technology and information play an important role in the industry individuals. In order to solve the problem of the polarization of the economy and high youth unemployment rate of Korea, to recognize the role of the creative industries, as objection part, dimensions pan-national and one creative companies in industries of Mobile Apps various policies that support has been promoted. Support these policies to be able to contribute to the establishment of the success of mobile apps one-person creating company, we performed this study targeting one-person company that creates mobile apps area, we conducted a demonstration study of success factors, and thus more effective and efficient in an attempt to seek out support measures. In this study, we derive a research 4 hypothesis about the success factors of one creative enterprise through literature discussion, a study was made on the basis of empirical data of one-person company that creates mobile apps. The results of the analysis, first, if the development rate of the mobile application technology is fast and a new competition associated product is appeared, it was possible to find a tendency to be higher at the performance quantitative companies. Second, if the founder is a founding for the benefit and rewarding work and come to terms with the risk, it was possible to discover tends to be higher achievement quantitative. Third, if one-person company select a target market with capture intensively, it was possible to find a tendency for higher qualitative results. Fourth, it could be found that the reliability of the contact frequency of the network related performance business environment these characteristics enterprise management strategy and act as a significant modulatory effect. Provision of information relating to management and entrepreneurship education to be one creative enterprise is required, these results suggest that there is a provision continuing need for the opportunity to be able to meet and network and reliable variety have. In this study, to take advantage to promote the elimination measures that can increase the likelihood of success of the company of institutions to support one company that creates knowledge-based, such as in the field of mobile application.

• Korean Business Review
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• v.17 no.2
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• pp.63-87
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• 2004

To create and maintain comparative supremacy as a strategic tool of business, many organizations have introduced informational technology and system. By using this system, Some companies got a beneficial value for achieving organizational goals but others could not obtain their effectiveness and efficiency. In particular, a lot of organizations that tried to make strategic supremacy with e-commercial trade are under hard condition because of poor profit. It implies that it is essential to identify and analyse the consumer who uses e-commercial trade. This paper, therefore, focusing on internet shopping malls between business and consumer as one of areas of e-commercial trades, shows the difference between consumer expectation and performance. The results of this study are as follows: First, as for the significant difference of influencing factors to consumer satisfactions according to the types of internet shopping malls, there is a meaningful difference in consumer anxiety and internet usefulness, but not in consumer service. Prior to verify the differences in detail on consumer's anxiety and internet usefulness, we examined that there is any difference between expectation and performance. T-test was used for the variants of consumer anxiety and internet usefulness, and its meaningful probability was 0.000, which means that both showed statistically significant difference. Based on the results, we also found that regardless of the types of internet shopping malls, consumer expectation was greater than performance. although the difference between expectation and performance was not equal according to the internet shopping malls. Second, a regression analysis was performed to understand the relation between consumer service, internet usefulness, consumer anxiety, and consumer satisfaction, it was found that consumer service, internet usefulness, consumer anxiety had significantly effected on consumer satisfaction. Third, To verify the relation between consumer satisfaction and repurchase-intentions, intentions to spread out, Pearson correlation analysis was used. it was found that consumer satisfaction had positive effect on both intentions. This study has some limitations because of the shorts of money and time. since the sample of this study was consumers who have ever bought one or more products via internet shopping mall, this sample was appropriate. but the major parts of sample were college students, and the sample size was so small. therefore this results should carefully be generalized. For further study, it is required to select more precise samples and to include more variables.

• Asia Marketing Journal
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• v.13 no.4
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• pp.227-251
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• 2012

This study analyzed Woori Investment and Securities' industry-leading marketing from both a brand management and a marketing decision-making perspective. By executing a different marketing strategy from its competitors, Woori Investment and Securities recognized recent changes in the asset management and investment markets as an open opportunity, and quickly responded to the market changes. First, the company launched the octo brand as a multi-account product, two years before its competitors offered their own products. In particular, it created a differentiated brand image, using the blue octopus character, which became familiar to the general financial community, and was consistently employed as part of an integrated marketing communications strategy. Second, it executed a brand expansion strategy by sub-branding octo in a variety of new financial products, responding to rapid changes in the domestic financial and asset management markets. Through this strategic evolution, the octo brand became a successful wealth management brand and representative of Woori Investment & Securities. Third, it has converged market research, demand and trend analysis, and customer needs acquired through various customer contact channels into a marketing perspective. Thus, marketing has participated in the product development stage, a rarity in the finance industry. Woori Investment and Securities has a leading marketing system. The heart of the successful product creation lies in a collaboration of their customer bases among the finance companies in the Woori Financial Group. The present study suggested a corresponding strategy for octo brand, which is expected to enter into the maturity stage of its product life cycle. In addition, this study found a need to modify the current positioning strategy in order to position and preserve sustainability in the increasingly competitive asset management market. It also suggested the need for an offensive strategy to counter the number one M/S company, and address the issue of cannibalism in the Woori Financial Group.

• Korean Security Journal
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• no.36
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• pp.177-200
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• 2013

As we enter a high industrial society that widens the gap between the rich and poor, demand for the security services has grown explosively. With the growth in quantitative expansion of security services, people have also placed increased requirements on more sophisticated and diversified security services. Consequently, market outlook for private security services industry is positive. However, Korea's private security services companies are experiencing difficulties in finding a direction to capture this new market opportunity due to their small sizes and lack of management-strategic thinking skills. Therefore, we intend to offer a direction of development for our private security services industry using a management-strategy theory and the Analytic Hierarchy Process(AHP), a structured decision-making method. A resource-based theory is one of the important management strategy theories. It explains that a company's overall performance is primarily determined by its competitive resources. Using this theory, we could analyze a company's unique resources and core competencies and set a strategic direction for the company accordingly. The usefulness and validity of this theory has been demonstrated as it has often been subject to empirical verification since 1990s. Based on this theory, we outlined a set of basic procedures to establish a management strategy for the private security services companies. We also used the AHP method to identify competitive resources, core competencies, and strategies from private security services companies in contrast with public companies. The AHP method is a technique that can be used in the decision making process by quantifying experts' knowledge and unstructured problems. This is a verified method that has been used in the management decision making in the corporate environment as well as for the various academic studies. In order to perform this method, we gathered data from 11 experts from academic, industrial, and research sectors and drew distinctive resources, competencies, and strategic direction for private security services companies vis-a-vis public organizations. Through this process, we came to the conclusion that private security services companies generally have intangible resources as their distinctive resources compared with public organization. Among those intangible resources, relational resources, customer information, and technologies were analyzed as important. In contrast, tangible resources such as equipment, funds, distribution channels are found to be relatively scarce. We also found the competencies in sales and marketing and new product development as core competencies. We chose a concentration strategy focusing on a particular market segment as a strategic direction considering these resources and competencies of private security services companies. A concentration strategy is the right fit for smaller companies as a strategy to allow them to focus all of their efforts on target customers in a single segment. Thus, private security services companies would face the important tasks such as developing a new market and appropriate products for such market segment and continuing marketing activities to manage their customers. Additionally, continuous recruitment is required to facilitate the effective use of human resources in order to strengthen their marketing competency in a long term.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.83-102
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• 2021

The government recently announced various policies for developing big-data and artificial intelligence fields to provide a great opportunity to the public with respect to disclosure of high-quality data within public institutions. KSURE(Korea Trade Insurance Corporation) is a major public institution for financial policy in Korea, and thus the company is strongly committed to backing export companies with various systems. Nevertheless, there are still fewer cases of realized business model based on big-data analyses. In this situation, this paper aims to develop a new business model which can be applied to an ex-ante prediction for the likelihood of the insurance accident of credit guarantee. We utilize internal data from KSURE which supports export companies in Korea and apply machine learning models. Then, we conduct performance comparison among the predictive models including Logistic Regression, Random Forest, XGBoost, LightGBM, and DNN(Deep Neural Network). For decades, many researchers have tried to find better models which can help to predict bankruptcy since the ex-ante prediction is crucial for corporate managers, investors, creditors, and other stakeholders. The development of the prediction for financial distress or bankruptcy was originated from Smith(1930), Fitzpatrick(1932), or Merwin(1942). One of the most famous models is the Altman's Z-score model(Altman, 1968) which was based on the multiple discriminant analysis. This model is widely used in both research and practice by this time. The author suggests the score model that utilizes five key financial ratios to predict the probability of bankruptcy in the next two years. Ohlson(1980) introduces logit model to complement some limitations of previous models. Furthermore, Elmer and Borowski(1988) develop and examine a rule-based, automated system which conducts the financial analysis of savings and loans. Since the 1980s, researchers in Korea have started to examine analyses on the prediction of financial distress or bankruptcy. Kim(1987) analyzes financial ratios and develops the prediction model. Also, Han et al.(1995, 1996, 1997, 2003, 2005, 2006) construct the prediction model using various techniques including artificial neural network. Yang(1996) introduces multiple discriminant analysis and logit model. Besides, Kim and Kim(2001) utilize artificial neural network techniques for ex-ante prediction of insolvent enterprises. After that, many scholars have been trying to predict financial distress or bankruptcy more precisely based on diverse models such as Random Forest or SVM. One major distinction of our research from the previous research is that we focus on examining the predicted probability of default for each sample case, not only on investigating the classification accuracy of each model for the entire sample. Most predictive models in this paper show that the level of the accuracy of classification is about 70% based on the entire sample. To be specific, LightGBM model shows the highest accuracy of 71.1% and Logit model indicates the lowest accuracy of 69%. However, we confirm that there are open to multiple interpretations. In the context of the business, we have to put more emphasis on efforts to minimize type 2 error which causes more harmful operating losses for the guaranty company. Thus, we also compare the classification accuracy by splitting predicted probability of the default into ten equal intervals. When we examine the classification accuracy for each interval, Logit model has the highest accuracy of 100% for 0~10% of the predicted probability of the default, however, Logit model has a relatively lower accuracy of 61.5% for 90~100% of the predicted probability of the default. On the other hand, Random Forest, XGBoost, LightGBM, and DNN indicate more desirable results since they indicate a higher level of accuracy for both 0~10% and 90~100% of the predicted probability of the default but have a lower level of accuracy around 50% of the predicted probability of the default. When it comes to the distribution of samples for each predicted probability of the default, both LightGBM and XGBoost models have a relatively large number of samples for both 0~10% and 90~100% of the predicted probability of the default. Although Random Forest model has an advantage with regard to the perspective of classification accuracy with small number of cases, LightGBM or XGBoost could become a more desirable model since they classify large number of cases into the two extreme intervals of the predicted probability of the default, even allowing for their relatively low classification accuracy. Considering the importance of type 2 error and total prediction accuracy, XGBoost and DNN show superior performance. Next, Random Forest and LightGBM show good results, but logistic regression shows the worst performance. However, each predictive model has a comparative advantage in terms of various evaluation standards. For instance, Random Forest model shows almost 100% accuracy for samples which are expected to have a high level of the probability of default. Collectively, we can construct more comprehensive ensemble models which contain multiple classification machine learning models and conduct majority voting for maximizing its overall performance.

• Journal of Agricultural Extension & Community Development
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• v.2 no.2
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• pp.205-227
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• 1995

The objectives of this study were to 1) classify the cooperative farmers' organizations in Korea according to the development level and institutional aspects through the exploration of its' conceptual and institutional basis, 2) analyze the farmers' needs for organization, 3) identify the problems and situation of organizations, and 4) formulate an effective management model for each cooperative farmers' organization. The study was carried out through a review of literature and using available statistical data collected from various sources and empirical survey. Major findings of the study were: 1) the cooperative farmers' organizations could be classified into four types : crop units, farming cooperative corporation, trust farming companies and joint-stock agri-business. 2) a lot of members of the organization feel that the information is insufficient, the opportunity to suggest their own ideas is hardly given, and the members are not satisfied with the cooperation among the members, 3) the members who have higher level of schooling education showed a higher participation level in the organization, 4) most of members did not recognize the organization they participated in, 5) participation of the organization's members and concerned institutions is an important factor to promote problem solving and better communication within the organization, 6) any type of continuing education for the members is needed to facilitate the transfer of a new agricultural and organizational technology, 7) research and development(R & D) is one of the most important factors of the development of organizations, 8) most organizations are deficient in professional management skills(financial, personal, accounts, etc.), 9) the trust farming companies have difficulties in managing the firm on account of the characteristics of agriculture(especially seasonal), the dispersed trust lands, and the need for more alternative work in the winter season, and 10) in the case of agri-businesses, their organizations are more specialized in marketing and have more structured systems of management. Based on the results of the study the following recommendations were made for further improvement and development of agricultural cooperative organizations : (1) More governmental support should be given to education for improvement of the organizational structure. And more deliberate and differentiated governmental support should be provided for the organizations to be viably managed. (2) For more efficient communication between the members and the organization, more opportunities for discussion are needed. (3) The more research should be committed to this kind of work in order to get more analytic data and strategic plans of cooperative organizations.

• Information Systems Review
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• v.16 no.2
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• pp.61-76
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• 2014

Recently, students have raised negative awareness of the test because of school records and irrational difficulty level of the College Scholastic Ability Test. They go so far as to commit suicide because of failure in entering school. It becomes a social problem and it is rising more and more interested in entering school. The educational game was created based on considering this social environment. Namely, students can enter university as playing online or mobile game through Enter Literacy Assessment game service. The Enter Literacy Assessment game service provides various tests which are math, english, science or essay that real university wants through online or mobile game. For this, general concept about Enter Literacy Assessment game service and characteristic establishment and limitation of existing research should be understood. The research refers to relationship between Self-Determination Theory which is the representative theory related with psychological desire of human intrinsic and Enter Literacy Assessment game service. Therefore, development of Enter Literacy assessment Serious Game is a new opportunity factor to take two dominants which are secure of university competitive power and excellent personnel and challenge for development of serious game.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.597-615
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• 2016

Since 1997 the United Kingdom has pursued creative industry and creative city development in accordance with the New Labor Party policy, strengthening its cluster policy by assigning creative city policies to traditional manufacturing-oriented regions. Tech City in London, one of the most successful examples of digital clusters, is an area in which diverse ecosystems for venture business integration have been established, as the once barren space began to spontaneously develop. For this region, systematic linkages including universities, private companies, start-ups, and accelerators have been added, along with the UK government's active support system. As a result of this opportunity, the scale of the UK start-up ecosystem has significantly grown, the number of local companies has surged, and brand effect has greatly improved. Tech City is an example of a well-balanced combination of public effort and private governance, based on the region's historical background and its potential for growth. It is an effective coordination of public policy and private active investment, services, research, and education. The market platform for institutional technology and commercialization, and aggressive investment shares in the risk, have lead to its growth as a start-up and an innovative city. Britain's efforts to expand the nationwide cluster for the future-oriented digital economy is most noteworthy.

• Journal of the Korea Organic Resources Recycling Association
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• v.22 no.1
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• pp.11-19
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• 2014

A study on combustion characteristic and evaluation of cost benefit were carried out using dried sewage sludge to evaluate co-combustion with coal in a coal-fired power plant. In the result of proximate analysis, sewage sludge has 78.09%, 79.65% of moisture content in A STP(Sewage Treatment Plant) and B STP, respectively. The dried sewage sludges show 0.12, 0.14 of fuel ratio value, respectively and over 30,000kcal/kg of combustible index. It means that the dried sewage sludges needs to reform from the results of fuel ratio and combustible index. As a results of the economical benefit evaluation of dried sewage sludge, about 73.4 million won through using the dried sewage sludges instead of coal and 56.4 million won through REC(Renewable Energy Certificate) cost were saved, respectively. On the other hand, it occurs 4.2 million won of additional cost related to ash disposal and 2.6 million won of investment/operation cost for co-combustion facility. In conclusion, co-combustion of dried sewage sludges with coal in a coal-fired power plant saves about 123 million won. However, it needs to consider for power supply to produce dried sewage sludges and opportunity cost for environmental pollution and so on to evaluate more reasonable benefit of co-combustion.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.103-115
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• 2018

The potential competitiveness for new routes and resources has been theoretically discussed with regards to the Arctic route but is gradually becoming a reality as global warming increases. In June of 2017, China officially included the Northern Sea Route (NSR) as part of the Belt and Road Initiative (BRI), and major countries' interests in the NSR are greatly expanding. This paper presents the general characteristics of the NSR, NSR development in China, the expected relationship between the NSR and the BRI, and this relationship's implications for Korea. The NSR has poor facilities and information infrastructure and is not economically viable for commercial navigation due to its high-cost conditions compared to competitive routes. In order to explore the Arctic and develop the NSR, large-scale projects must be funded over a long period of time; this has caused major difficulties in development. However, as the NSR is included in the BRI, there could be an opportunity to utilize BRI funds, such as Asian Infrastructure Investment Bank (AIIB). Further, China's NSR development and the NSR development of partner countries, such as Korea, should be further stimulated. As Korea has strengths in terms of its shipbuilding technology and geographical location, which is located at the core of the NSR, Korea would have chances to expand the economic cooperation and business opportunities with China and Russia.