• 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.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.81-101
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• 2003

The financial statements purpose to provide useful information to decision-making process of business managers. The value-relevant information, however, embedded in the financial statement has been often overlooked in Korea. In fact, the financial statements in Korea have been utilized for nothing but account reports to Security Supervision Boards (SSB). The objective of this study is to develop earnings forecasting models through financial statement analysis using artificial intelligence (AI). AI methods are employed in forecasting earnings: artificial neural networks (ANN) for manufacturing industry and case~based reasoning (CBR) for banking industry. The experimental results using such AI methods are as follows. Using ANN for manufacturing industry records 63.2% of hit ratio for out-of-sample, which outperforms the logistic regression by around 4%. The experiment through CBR for banking industry shows 65.0% of hit ratio that beats the statistical method by 13.2% in holdout sample. Finally, the prediction results for manufacturing industry are validated through monitoring the shift in cumulative returns of portfolios based on the earning prediction. The portfolio with the firms whose earnings are predicted to increase is designated as best portfolio and the portfolio with the earnings-decreasing firms as worst portfolio. The difference between two portfolios is about 3% of cumulative abnormal return on average. Consequently, this result showed that the financial statements in Korea contain the value-relevant information that is not reflected in stock prices.

• Korean Management Science Review
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• v.32 no.2
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• pp.125-143
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• 2015

When studying the film industry, researchers have seldom addressed the dynamic interaction between marketing information and word of mouth in the motion picture industry mainly because of the limitation of traditional research methodologies. This study explores integration and competition among important variables influencing on audience's choice on movie selection, particularly by using a new method of agent-based modeling including competitive environment. Decision process of moviegoer composed of transition probability based on multinomial logit model, considering marketing and box-office information, critique, and word of mouth from other moviegoers. After validating the fitness of market share among released movies, this study conducted a set of simulation experiments considering several variables such as market size, change of weight between variables, and movie performance under competition. Propositions are derived from the simulation results is also suggested for future research.

• Fire Science and Engineering
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• v.23 no.5
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• pp.173-180
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• 2009

As cities become recently more crowded, various and enlarged, it is required a cutting-edge technology for fire industry. According to this, a transition is attempted from production intensive industry toward knowledge based industry. At this point, in order to develop fire industry into knowledge based high value industry, industry innovation capability is required and it heavily depends on human resource competitiveness. Accordingly, in this study is aimed to look the status of domestic fire industry personnel training by classifying the fire industry manpower by field skill personnel, high technology personnel, and professional research personnel and to suggest problems with personnel training followed by each classification and how to improve them.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.586-596
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• 2021

Software organisations follow different methodologies for the development of software. The software development methodologies are mainly divided into two categories, including plan-driven and agile development. To attain project success, it is very significant to consider risk management during whole project. Agile development is considered risk-driven, but many risks are unreported at the industrial level. The risks can be divided into three categories, including (i) development risks, (ii) organisations risks, and (iii) people-oriented risks. This paper deals with Development risks specifically. Several risks related to development are faced by people working in the industry while dealing with agile development. Their management among the industry is a big issue, so this paper emphasises ARMF based on development-related risks by following agile development. This research work will help software organisations to prevent different project-related risks during agile development. The risks are elicited at two-level, (i) literature-based and (ii) IT industry based. A systematic literature review was performed for eliciting the agile risks from the literature. Detailed case studies and survey research methods were applied for eliciting risks from IT industry. Finally, we merged the agile development risks from literature with standard industrial risks. Hence, we established an agile risk mitigation framework ARMF based on agile development and present a groundwork established in light of empirical examination for extending it in future research.

• Journal of Sensor Science and Technology
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• v.32 no.4
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• pp.257-257
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• 2023

• Food Industry
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• s.155
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• pp.101-116
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• 2000

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.2
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• pp.150-161
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• 2015

This paper proposes a new approach to technology valuation, the market-replacement cost approach which integrates the cost-based approach and market-based approach. The proposed approach estimates the market-replacement cost of a target technology using R&D costs of similar R&D projects previously conducted. Similar R&D projects are extracted from project database based on document similarity between project proposals and technology description of the target technology. R&D costs of similar R&D projects are adjusted by mirroring the rate of technological obsolescence and inflation. Market-replacement cost of the technology is then derived by calculating the weighted average of adjusted costs and similarity values of similar R&D projects. A case of "Prevention method and system for the diffusion of mobile malicious code" is presented to illustrate the proposed approach.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.115-128
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• 2015

Although the telecommunications service industry has become a basic infrastructure component of the information and communication technology (ICT) industry, it is now losing its reputation as a cash cow due to achieving a saturation of service subscribers, especially in South Korea. With the exception of improving network speeds, network operators are experiencing difficulties in creating new innovations. Therefore, new innovations for the telecommunications service industry should be identified in conjunction with government policies for industry promotion. To examine the innovative capabilities of a specific industry, innovation system theories were used as a framework for research. However, existing innovation systems are limited with regard to explaining the openness of relationships and user participation which are general properties of the ICT industry. Moreover, as sources of innovative activity, additional values such as financial support and collaboration are more appropriate. This study presents a new innovation system based on innovation values. We analyze the telecommunications service industry and prioritize the importance of telecommunication policies within South Korea. An in-depth interview with experts based on the innovation system framework is conducted first. Next, innovation factors derived from the interview are applied within an analytic hierarchy process (AHP), leading to a prioritization of innovation factors for the telecommunications service industry.

• Korean Management Science Review
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• v.23 no.1
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• pp.1-19
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• 2006

This study investigates the critical success factors for the promotion of IT industry in region and suggests some directions for operations strategy of them. This study based on the critical success factors, and we suggest followings : (1) start-ups support, (2) technology support, (3) management support, (4) law/institutional support. We suggested the strategy which based on critical success factors for successful operations of IT industry. This strategy suggested by AHP(Analytic Hierarchy Process) results and was evaluated by the three groups(IT firms, local government official worker, professor) which have an influence on IT policy. We suggested the priority of policy by AHP technique for successful development of IT industry. As a results, centralization of supporting facilities was perceived as the most important policy by three groups(IT firms, local government official worker, professor). This research contributes to assist planners and policy-makers in supporting IT industry by providing useful information about the suggested strategy, and by suggesting the effective means to assist the IT industry. Also, results of our research will be suggested as a priority of developing policy to assist successful IT industry.