• Journal of Distribution Science
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• v.17 no.12
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• pp.5-12
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• 2019

Purpose - In this paper, we examine the effect of accrual earnings management and real earnings management on the corporate value of retail corporations. Research design, data, and Methodology - The sample cover firms whose settlement is December among retail companies listed on the Korea Stock Exchange's securities market and KOSDAQ market from 2001 to 2016. Of these, the targets were companies with operating profit and equity capital of zero or higher and with sales data. The secondary data was collected through KIS-VALUE data base. The Jones model and the modified Jones model were used for the calculating the accrual-based earnings management and the real earnings management. Result - According to the empirical results, the relationship between accrual earnings management, real earnings management and firm value is positively significant in the retail industry as in manufacturing industry. These results are also significant when controlling the size, profitability, investment, debt ratio, dividend, and growth potential of a company. Conclusions - The characteristics of the distribution business can be identified and the influence of the various kinds of earnings management, which is being researched around the manufacturing industry, can be studied in the distribution industry to give practical implications to investors.

• Management & Information Systems Review
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• v.18
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• pp.41-67
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• 2006

Value Creation issue for customers is emerging from the college education. Most colleges are facing to cope with over-supplied education facility problems against reducing population to apply to enter universities/colleges. The best way to overcome those problems might be to implement the Customer Satisfaction Management Strategy as if they were private firms for making profit. The main purpose in this study is to provide guidelines for CS strategy with a private college. It is focused on designing research plans and searching CS index. The process of this study is as follows; - Introduced the value creation strategy for customers with private colleges. - Proposed the CS management which is very important for enhancing competitive power - Evaluate various models to measure service quality and CSI for college service. - Provided some guidelines to research design of CS according to 6 customer categories. - Proposed some methodologies to apply a service quality measurement model. - Suggested a revised model from SERVPERF to adapt with college customers satisfaction. The result from this study showed that Customer Satisfaction Management would be the most important strategy to cope with confronting difficulties for private college and the revised model from SERVPERF would be an alternative solution. Further study is essential to assure the suggested model is valuable for private colleges because empirical test has not completed yet.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.12
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• pp.1215-1219
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• 2006

Scheduling plays an important role in the process management in terms of providing profit-maximizing operation sequence of multiple orders and estimating completion times of them. In order to takes its full potential, varying conditions should be properly reflected in computing the schedule. The adjustment of scheduling decisions has to be made frequently in response to the occurrence of variations. It is often challenging because their model has to be adjusted and their solutions have to be computed within short time period. This paper employs Model Predictive Control(MPC) principles for updating the process condition in the scheduling model. The solutions of the resulting problems considering variations are computed using parametric programming techniques. The key advantage of the proposed framework is that repetition of solving similar programming problems with decreasing dimensionis avoided and all potential schedules are obtained before the execution of the actual processes. Therefore, the proposed framework contributes to constructing a robust decision-support tool in the face of varying environment. An example is solved to illustrate the potential of the proposed framework with remarks on potential wide applications.

• The Journal of Society for e-Business Studies
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• v.19 no.1
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• pp.131-143
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• 2014

A triple database consisting of a number of three-column tables require high cost of query processing, whereby building a shortcut is known as an effective way to reduce the cost. It is important to figure out what shortcuts needs to be selectively built. Most shortcut selection algorithms make use of a benefit model that considers the query frequency. However they work poor to reflect the database update. In this paper, we consider a benefit model for triple databases. The model considers not only the profit of query response times but also the building and maintenance costs of the shortcuts. We apply the model to design a benefit function which can be plugged in a greedy-based shortcut selection algorithm. We perform the empirical experiments on a real-world dataset and analyze the effect of each factor employed in the benefit function.

• The Journal of Bigdata
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• v.6 no.1
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• pp.153-160
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• 2021

This study examines previous studies on the income (profit) model, which is most used for valuation of data held by companies or institutions, and discusses key factors of the model and considerations in the data asset valuation process. Through this, it was confirmed that the shareability and utilization period of data assets are different from those of other companies. In addition, the value of data should be reviewed from various perspectives such as timeliness and accuracy. And for data asset value evaluation, it was derived that the user's use, ability to use, and value chain should be reviewed as a whole. As a future research direction, continuous research and development of models to be applied to actual business and revision of accounting law were proposed.

• Journal of Practical Agriculture & Fisheries Research
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• v.11 no.1
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• pp.21-33
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• 2009

The agricultural tourism is something that urban people can have an experience of the traditional culture and knowledge of the agriculture, so that it result the improvement of the agricultural profit and keep the special agricultural system. Recently, the demand of the agricultural tourism was increasing, but it was not really enough today that the practice of the tourism for essential farm experience or physical plan. The experiments were practiced by a land in Sucheong-li, Namjong-myun, Gwangju-si, Gyeonggi-do which provides the program for the basic plan and management of the experiential farm, so it shows a developmental model of that typical farm. The basic design of developmental model was formed by the analysis of the natural, civilized and visual environments. The site plan for the experiential farm was composed of a parking lot, public facilities, resting place, experiential site, sports facilities and pedestrian space. There was an examination that the activation of experiential farm should change the concept of the big production or labor-focused farm from a tourism-focused form.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.534-541
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• 2011

Risk evaluation approaches for bidding on international construction projects are typically partitioned into three stages: country selection, project classification, and bid-cost evaluation. However, previous studies are frequently under attack in that they have several crucial limitations: 1) a dearth of studies about country selection risk tailored for the overseas construction market at a corporate level; 2) no consideration of uncertainties for input variable per se; 3) less probabilistic approaches in estimating a range of cost variance; and 4) less inclusion of covariance impacts. This study thus suggests a three-staged risk evaluation model to resolve these inherent problems. In the first stage, a country portfolio model that maximizes the expected construction market growth rate and profit rate while decreasing market uncertainty is formulated using multi-objective genetic analysis. Following this, probabilistic approaches for screening bad projects are suggested through applying various data mining methods such as discriminant logistic regression, neural network, C5.0, and support vector machine. For the last stage, the cost overrun prediction model is simulated for determining a reasonable bid cost, while considering non-parametric distribution, effects of systematic risks, and the firm's specific capability accrued in a given country. Through the three consecutive models, this study verifies that international construction risk can be allocated, reduced, and projected to some degree, thereby contributing to sustaining stable profits and revenues in both the short-term and the long-term perspective.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.6
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• pp.59-76
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• 2019

Most technology-based entrepreneurship(TBE) go through an process of decline or disappear without overcoming the valley of death(VoD). The purpose of this study is to identify the growth dimension of TBE and to test the influence of firms activities on firms growth over time. This study identified the two-dimensional growth dimension divided by size and profit through exploratory factor analysis(EFA) of a number of growth indicators. Then, we defined the discrete state of growth firm in four states, divided by size and profit, and five states, including the closure of business. Multi-nomial logit model is used to predict the effect of TBE activities on a discrete state of growth firm(size×profit, closure of business) based on multiple independent variables. The independent variables are based on five representative firms activities: employment, marketing, R&D, financial activities, and general management activities. The growth stage of TBE over time has been categorized into three stages: early stage, middle stage, and late stage of business, taking into account the main periods during which the survival rate of startups sharply decreases. The analytical data of this study was based on the secondary data of the start-up supporting companies of government and public institutions. The subjects of analysis were TBE within 10 years. As a result of the empirical analysis, the employment and marketing activities of TBE show that early and mid-term activities had an effect on the state of firms growth. However, if there is a difference, employment activities have both positive and negative effects, while marketing activities have only a positive effect on size and profit growth. And besides, R&D activities, financial activities, and general management activities throughout the entire process of firms growth were found to be firms activities that have both positive and negative effects on firms growth. In addition, the age of the founder, the firms' industry, and the geographic location of the firms, which are general characteristics of the company, were found to have a distinctive effect on the growth status of the firms according to the growth stage.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.153-164
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• 2013

Business model innovation creates differentiated value to customers by transforming various elements of doing business. Rather than focusing singularly on either the external or internal environment, the business model innovation aims to identify the optimal combination of internal resources, competence, and the external factors, such as customer's needs and new opportunity. However, due to lack of clear definition of business model innovation, and inability to generate company's core business model, business model innovation has been difficult for companies to lead next growth. This paper reviews existing definitions of business model innovation and explore existing types of business model innovation and timing of business model innovation through two case studies. Concept of business model innovation which we identify, is composed of value proposition, value creation through value chains and networks, and profit model innovation. Finally, we demonstrates that already successful businesses can also create new values through business model innovation and adaptive advantage, even in a rapidly changing market environment.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.466-476
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• 2016

Technology-holding company was introduced in 2008 according to the Korean related law. In the end of 2014, technology holding company of university amounts to 39 companies, and ETRI Holdings is only the company belonging to the research institute among these companies. The technology holding company was launched to support a technology transfer from university or research institute to companies, and to boost up start-ups. Though 7 years has passed after the first technology-holding company was launched, there is no success model until now. Holding company is basically an investment company, which earns a profit from subsidiary company. The business model of a holding company is similar to venture capital that invests in start-ups. A direction of desirable business model of technology-holding company was suggested in this paper based on the case study on 2 Korean venture capital company. Holding company is generally categorized into two types. One is a pure holding company that only get a profit from subsidiary company, and the second is a operating holding company that creates an extra business revenue in addition to the role of pure holding company. In this paper, it is suggested that a technology holding company is recommended to be a operating holding company rather than a pure holding company.