• Convergence Security Journal
• /
• v.14 no.5
• /
• pp.37-47
• /
• 2014

A Trojan malicious code is one of largest malicious codes and has been known as a virus that causes damage to a system as itself. However, it has been changed as a type that picks user information out stealthily through a backdoor method, and worms or viruses, which represent a characteristic of the Trojan malicious code, have recently been increased. Although several modeling methods for analyzing the diffusion characteristics of worms have proposed, it allows a macroscopic analysis only and shows limitations in estimating specific viruses and malicious codes. Thus, in this study an ESP model that can estimate future occurrences of Trojan malicious codes using the previous Trojan data is proposed. It is verified that the estimated value obtained using the proposed model is similar to the existing actual frequency in causes of the comparison between the obtained value and the result obtained by the Markov chain.

• Journal of Information Technology Applications and Management
• /
• v.14 no.4
• /
• pp.139-158
• /
• 2007

Information sharing is key to effective supply chain management. In reality, however, it is impossible to get perfect information. Accordingly, only uncertain information can be accessed in business environment, and thus it is important to deal with the uncertainties of information in managing supply chains. This study adopts meteorological forecast as a typical uncertain information. The meteorological events may affect the demands for various weather-sensitive goods, such as beer, ices, clothes, electricity etc. In this study, a beer distribution game is modified by introducing meterological forecast information provided in a probabilistic format. The behavior patterns of the modified beer supply chains are investigated. for two conditions using the weather forecast with or without an information sharing. A value score is introduced to generalize the well-known performance measures employed in the study of supply chains, i.e.. inventory, backlog, and deviation of orders. The simulation result showed that meterological forecast information used in an information sharing environment was more effective than without information sharing, which emphasizes the synergy of uncertain information added to the information sharing environment.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.35 no.9
• /
• pp.1069-1084
• /
• 2011

This study investigates the main trend of LOHAS, examines and analyzes the LOHAS marketing cases of the fashion industry, and proposes an effective LOHAS marketing strategy for the domestic fashion market. Data were collected from Naver, Google and Daum from 2005 (when LOHAS began to be recognized) to October $31^{st}$ 2010. We searched the research material with keywords related to the research subject (such as eco, green, well being, echo-friendly, LOHAS, sustainable, environmental management, and green management) to conduct a theoretical and exploratory study through qualitative analysis. The data are analyzed with three types such as personal value of eco-friendly fabric, economical value of recycled fabric and re-use or re-form, and social-ethical value of distribution and promotion. The research results show that LOHAS marketing activities focused on personal values and social-ethical values (rather than economical value) and from an eco-friendly management centered on merchandise; in addition, an eco-friendly supply chain management incorporated with a management system were applied. LOHAS marketing strategies at home and abroad revealed some differences in the cases of eco-friendly fabric, recycling, and fair trade.

• Journal of Cadastre & Land InformatiX
• /
• v.52 no.2
• /
• pp.121-135
• /
• 2022

The purpose of this study is to explore the convergence sector of the spatial information industry based on the business transaction data of spatial information companies and to predict the market size of the industry using the Seemingly Unrelated Regression(SUR) model. The convergence part of spatial information industry, which cannot be identified in the Spatial Data Industry Survey, was analyzed by exploring keywords related to spatial information using the business DB of Korea Enterprise Data (2010-2019). The convergence of spatial information businesses mainly appeared in the business relationship between the value chain between Seoul and Gyeonggi Province. The convergence business has the largest sales in the value chain 2 (utilization, service) & 3 (convergence), and also the convergence in the value chain 1 (production, construction) & 2, 2 & 3 stages has doubled in 2019 compared to 2010. In 2019, the total sales of the spatial information industry based on the Statistical Korea were announced at about 8 trillion won, but in this study, the total sales of the spatial information industry were estimated at 28 trillion won considering convergence activities. Finally, when scenario 1 (0.38% population growth, 2020-2024) and 0.07% (2026-2030) were applied using the SUR model to predict the expected market size of the industry, sales decreased by -0.37% to 0.069% in 2025 and 2030 by respectively. When scenario 2 (average wage growth 1.2%) was applied during the same period, sales in the industry increased by 2.326% to 12.185%. In other words, the sales in the spatial information industry depends on Labor, Total Factor Productivity, and Capital Productivity so it is necessary to additional research on policy development and alternatives of enhancing each productivity.

• Journal of Industrial Convergence
• /
• v.20 no.11
• /
• pp.57-63
• /
• 2022

If ECU data, which is responsible for collecting and processing data such as sensors and signals of automobiles, is manipulated by an attack, it can cause damage to the driver. In this paper, we propose a system that verifies the integrity of automotive ECU data using blockchain. Since the car and the server encrypt data using the session key to transmit and receive data, reliability is ensured in the communication process. The server verifies the integrity of the transmitted data using a hash function, and if there is no problem in the data, it is stored in the blockchain and off-chain distributed storage. The ECU data hash value is stored in the blockchain and cannot be tampered with, and the original ECU data is stored in a distributed storage. Using the verification system, users can verify attacks and tampering with ECU data, and malicious users can access ECU data and perform integrity verification when data is tampered with. It can be used according to the user's needs in situations such as insurance, car repair, trading and sales. For future research, it is necessary to establish an efficient system for real-time data integrity verification.

• Journal of Information Technology Applications and Management
• /
• v.10 no.3
• /
• pp.109-120
• /
• 2003

This paper proposes an e-business maturity model for small and medium-sized enterprises. The model consists of five maturity levels, which are on-line access, on-line business, matured on-line business, and full on-line business from least matured level to most matured level. The model can be used to assess e-business maturity level of individual enterprises. individual enterprise's maturity level can be assessed by examining sample check lists. Additionally, this paper summarizes the results of an application of the proposed model to a couple of small and medium-sized enterprises. This model can also be used to suggest what individual enterprises need to be upgraded towards higher maturity level.

• Journal of Distribution Science
• /
• v.11 no.12
• /
• pp.25-37
• /
• 2013

Purpose - The structure of retailing has changed as retailers develop markets in response to business environment changes. This study aims to analyze the general situation of retailers in order to predict future global strategy using case studies of overseas expansion strategy and the Metro Group's global strategy. Research design, data, and methodology - The backgrounds to the new retail business model and retailer classification are analyzed as theoretical data. In addition, the key success point of the Metro Group's "cash and carry" strategy is analyzed as is the Metro Group's global CFAR (collaborative planning, forecasting, and replenishment) strategy. Finally, the plan for cooperation and precise forecasting under the Metro Group's supply chain management are analyzed from the promotion environment viewpoint. Related materials analyzed included the 2012 annual report, the Metro Group's web page, and a video interview with the executive in charge of global strategy and the new market development department. Some data were revised to avoid disrupting essential aspects of the case studies. Results - The important finding was that the Metro Group could be a world-class retail company with its successful global expansion strategy. The Metro Group's global strategy's primary goal is to have a leading business position in Eastern and Western Europe. The "cash and carry" strategy is highest priority in its overseas expansion strategy. Moreover, the Metro Group has standardized product planning capacity, which could be applied in various countries with different structural and cultural backgrounds. This is the main reason that the Metro Group could rapidly become successful in the Eastern Europe and Asian markets through its structural overseas expansion strategies. In addition, the Metro Group emphasizes the importance of supply chain management. Conclusions - First, retailers should create additional value through utilizing the domestic market, market power, and economies of scale to launch a global strategy to maximize benefits from diversification. Second, the political, economic, and cultural background of the target country needs to be understood to successfully implement the overseas expansion strategy. Third, the main factor of successful cooperation with a local partner is how quickly the company gains total understanding of the business resources and core competence of its partner. All organizations should focus on the achievement of goals in order to successfully operate the partnership. Fourth, retailers should improve their business, financial and organizational structure. Moreover, the work processes and company culture should also be improved to respond strongly in the competitive global market. Fifth, the essential point of a successful retail business is the control capacity of its branding and format. The retailer could avoid forecasting errors through supply chain management by perfectly distributing the actual amount of its inventory. In addition, the risks along the supply chain are effectively shared between the supply chain partners. Finally, the central tendency of the market is to gain in strength with this taking place across all parts of the business.

• The Korean Journal of Applied Statistics
• /
• v.21 no.5
• /
• pp.835-843
• /
• 2008

In this paper, we investigate a Bayesian inference for software reliability models based on mean value functions which take the form of the mixture of beta distribution functions. The posterior simulation via the Markov chain Monte Carlo approach is used to produce estimates of posterior properties. Its applicability is illustrated with two real data sets. We compute the predictive distribution and the marginal likelihood of various models to compare the performance of them. The model comparison results show that the model based on the beta-mixture performs better than other models.

• Journal of Distribution Science
• /
• v.14 no.1
• /
• pp.7-15
• /
• 2016

Purpose - The purpose of this paper is to study the relationships among store image, customer satisfaction, behavioral intentions (BI) and fast distribution in shahrvand chain super market in Tehran. Research design, data, and methodology - The 300 samples were from all the customers of Shahrvand chain stores. Since the present study aimed to explore the relationship between store image, customers' satisfaction, customers' behavioral intentions, and the proximity of shops to customers with considering determination for the influence of each factor, the customers of Shahrvand chain stores were randomly asked to comment on this issue. Results - Attitude to services and merchandising are positively associated with their positive store image. Besides, positive store image has a positive relationship with customers' behavioral intentions and customers'satisfaction. The relationship between fast distribution and customers' satisfaction is significantly positive. Conclusions - Several studies have shown that, in general, store image is important to attract and retain customers. This paper depicts the specific influences of image specifically on customer satisfaction and behavioral intention. Factors related to image have been discussed as their attitudes which touch areas of organizational behavior that have been embedded in the model, and it contributes to the originality or the value of the study.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.8
• /
• pp.281-287
• /
• 2020

In capital budgeting practices, investment project evaluations based on the net present value (NPV) and the internal rate of return (IRR) represent the traditional evaluation techniques. Compared with the traditional methods, the modified internal rate of return (MIRR) gives the opportunity to evaluate an investment in certain projet, while taking the changes in cash flows over time and issuing shares such as dividing shares, bonuses, and dividend for each end of the investment year into account. Therefore, this study aims to evaluate an investment in the Malaysian construction sector utilizing financial data for 39 public listed companies operating in the Malaysian construction sector over the period from Jan 1, 2007, to December 30, 2018, based on the MIRR method. Stochastic was studied in this study to estimate the estimated probability by applying the Markov chain model to the MIRR method where the transition matrix has two possible movements of either Good (G) or Bad (B). it is found that the long-run probability of getting a good investment is higher than the probability of getting a bad investment in the long-run, where were the probabilities of good and bad are 0.5119, 0.4881, respectively. Hence, investment in the Malaysian construction sector is recommended.