• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.55-64
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• 2023

The travelling salesman problem (TSP) is an important combinatorial optimization problem that is used in several engineering science branches and has drawn interest to several researchers and scientists. In this problem, a salesman from an arbitrary node, called the warehouse, starts moving and returns to the warehouse after visiting n clients, given that each client is visited only once. The objective in this problem is to find the route with the least cost to the salesman. In this study, a meta-based ant colony system algorithm (ACSA) is suggested to find solution to the TSP that does not use local pheromone update. This algorithm uses the global pheromone update and new heuristic information. Further, pheromone evaporation coefficients are used in search space of the problem as diversification. This modification allows the algorithm to escape local optimization points as much as possible. In addition, 3-opt local search is used as an intensification mechanism for more quality. The effectiveness of the suggested algorithm is assessed on a several standard problem instances. The results show the power of the suggested algorithm which could find quality solutions with a small gap, between obtained solution and optimal solution, of 1%. Additionally, the results in contrast with other algorithms show the appropriate quality of competitiveness of our proposed ACSA.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.255-273
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• 2023

Purpose - This study examines whether internal control has an effect on stock price informativeness about future earnings. High quality internal control provides continuous assurance for the quality of financial reports, and these future earnings-related information is accurately reflected in the current stock price. Design/methodology/approach - This study collected 12,862 data from 2006 to 2021 in China to make an empirical analysis using the future earnings response coefficient (FERC) and the multiple regression analysis were hired in order to analyze the data. Findings - We find that internal control strengthens the association between current returns and future earnings, indicating that more information about future earnings is reflected in current stock prices. This positive effect exists in both the main board market and the growth enterprise market of China's stock market, especially in the main board market after the implementation of the internal control policy. In addition, we find that the positive effect is weaker for firms that report internal control deficiencies or receives non unqualified internal control audit opinions. The results using earnings persistence yield similar findings, further supporting the results based on the FERC model. Research Implications or Originality - Our tests provide strong evidence that the quality of internal control affects FERC in China stock market.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.5
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• pp.67-76
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• 2022

The customer demand for diverse colors in home appliances has increased. However, this has led to issues for manufacturers, such as ensuring cost effectiveness and high-level quality control. To resolve these issues, production engineers utilize computer-aided engineering (CAE) tools for injection-molding processes and assess the suitability of process parameters for products manufactured using the in-mold labeling method. CAE can solve various problems in manufacturing processes, thereby increasing production efficiency and decreasing manufacturing cost. In addition, it can be used analyze customer complaints related to surface defects, such as part differences and irregular spacing between parts, and ultimately reduce product returns. In this study, CAE was used to solve quality problems and implement the most economical manufacturing process.

• Informatization Policy
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• v.31 no.2
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• pp.65-81
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• 2024

The scale of e-procurement through online shopping malls of public institutions including government comprehensive shopping malls is increasing day by day. This study aims to examine how public officials evaluate products, delivery, and post service of online shopping malls for public institutions and to explore ways of improving their satisfaction. The results from a survey conducted among public officials of public institutions who have experience using online shopping malls of public institutions showed generally high satisfaction levels, although there was dissatisfaction with product diversity. Perception of delivery quality was generally positive, but there was room for improvement in delivery service. Furthermore, employing structural equation modeling, the study examined the influences on satisfaction and intention to reuse. Perceived product quality, delivery quality, and delivery service quality were confirmed to influence satisfaction considerably. Therefore, more efforts should be directed towards managing the information and quality of products to prevent returns, exchanges, and repairs and, in case of issues, handling them promptly and transparently.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.4
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• pp.93-105
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• 2018

For some consumer goods, consumers expect additional benefits or returns after purchasing or using them. This kind of consumer goods that consumers expect some additional benefits or returns after consumption (hereafter consumer goods of investment or CGOI) need not only an approach of simple purchasing perspective but also an approach from investment perspective. Current study tries to figure out if consumers react differently in their purchasing intentions toward CGOI between when they focus on the product's quality, functions, or other current state related information (i.e., simple purchase focus) and when they focus on the benefits that will be generated after using the product (i.e., investment focus). According to the results, while consumers' purchasing intentions toward CGOI in the investment mode are greater when the price is low than when the price is high, consumers' purchasing intentions toward CGOI in the simple purchasing mode are greater when the price is hgih than when the price is low.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.463-474
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• 2010

In this study, we evaluate the efficiency of Construction Industry using Data Envelopment Analysis(DEA). Since the Construction Industry has been traditionally operated through competition, it is important to measure the efficiency. In this paper, we empirically analyze the Efficiency of the 50 Korean Construction Industry. In detail, we used the scale of efficiency in order that efficiency cannot be affected by the total technical efficiency of each company and the scale of DMU by applying CCR or BBC model. Also, we analyzed the changes of measurement DEA model score. we adopted the basic DEA, RTS Region and MPSS(Most Productive Scale Size) method which are combined with efficiency measurement model in order to analyze the operational status. Furthermore, by complementing the shortfalls of the scale efficiency value of the DEA Model, RTS Region Model can be recommended to be appropriate in the evaluation of ideal input/output Quantity. In particular, input variables are total assets, construction capacity, the technical staff and output variables are sales volume, operating income. The result of RTS Region and MPSS shows that 9 DMUs of the efficiency frontier in the Construction Industry are analyzed to be relatively efficient DMUs, and 41 DMUs are analyzed to be inefficient DMUs, and finally inefficient DMUs are separated with Region 1 and Region 6.

• Agribusiness and Information Management
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• v.1 no.2
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• pp.23-42
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• 2009

As technology develops, more advanced technologies involving GPS, GIS, RFID and sensor networks have been adopted in agriculture sector for u-Farm. However, technology adoptions have been evaluated as ineffective. Farmers and agri-business have low level of understanding on technology so it is not efficiently utilized. This study introduces a case of RFID/sensor networks of mushroom farm as a u-Farm case study, focusing on developing a framework for analysis of u-Farm investment returns. RFID and sensor networks improve real-time production control, processing management, and traceability. Integration of RFID and sensor networks leads to innovation into the mushroom farm, reducing labor cost, increasing productivity, and improving quality of the mushroom. The ROI which is used as an indicator of performance indicator is 413%.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.4
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• pp.147-155
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• 2015

Home Shopping companies haven't have any possible means of product quality control process in spite of the fact that they are selling average 16,000 different kinds of product every month. Under this condition, increases of return and product liability can have a strong negative influence on customers' trust in a home shopping brand and intentional repurchase through the same home shopping channel. To solve the problems, we applied adjusted selection and assessment system of manufacturers in home shopping industry, and the consequence of system effect was verified that there is a decrease of 10.3% in the number of returns and a decrease of 11.7% in the number of product liability.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.197-218
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• 2010

Korean Government has invested a lot of efforts on digital contents industry. It believes that the digital contents industry enables Korea to regain the reputation of the most powerful IT country. Among its various efforts to promote the digital contents industry, a Digital Contents Identifier System, called UCI(Universal Contents Identifier), has been developed and deployed. UCI has provided a critical infrastructure for digital contents production and distribution. Thanks to Korean Government's efforts, users (companies and individuals) have currently registered 3.8 million digital contents through 25 RA organizations. Although the number of registered contents has been increased rapidly, many organizations hesitate to adopt the UCI system due to the lack of visible and short-term returns from the UCI system. Thus, this research tries to explore factors which affect UCI user satisfaction. This research finds that user's awareness, information quality, and service quality are the critical influencing factors toward UCI user satisfaction. In addition, this research finds that the critical influencing factors in public organizations are different from the critical influencing factors in private organizations. These findings hopefully provide useful guidelines for disseminating the UCI system widely.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.573-588
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• 2023

Purpose: This study presents a research approach that utilizes deep reinforcement learning to construct optimal portfolios based on the business cycle for stocks and other assets. The objective is to develop effective investment strategies that adapt to the varying returns of assets in accordance with the business cycle. Methods: In this study, a diverse set of time series data, including stocks, is collected and utilized to train a deep reinforcement learning model. The proposed approach optimizes asset allocation based on the business cycle, particularly by gathering data for different states such as prosperity, recession, depression, and recovery and constructing portfolios optimized for each phase. Results: Experimental results confirm the effectiveness of the proposed deep reinforcement learning-based approach in constructing optimal portfolios tailored to the business cycle. The utility of optimizing portfolio investment strategies for each phase of the business cycle is demonstrated. Conclusion: This paper contributes to the construction of optimal portfolios based on the business cycle using a deep reinforcement learning approach, providing investors with effective investment strategies that simultaneously seek stability and profitability. As a result, investors can adopt stable and profitable investment strategies that adapt to business cycle volatility.