• CRM연구
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• v.4 no.2
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• pp.1-17
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• 2011

In the study of transaction coupling and consumer behavior it is argued that the satisfaction after consumption and consumer self-confidence would affect the degree of transaction coupling. Based on Kivetz(1999), this study expand transaction coupling which is a mental accounting process. Satisfaction after consumption and consumer self-confidence have been frequently cited as a key construct for predicting various consumer-related behaviors. The purpose of this research is to examine the effect of satisfaction after consumption and consumer self-confidence for hedonic products on transaction coupling. In order to explain the impact of consumer self-confidence clearly, the authors used a five-factor(i.e., information acquisition, consideration-set formation, personal and social outcomes, persuasion knowledge and marketplace interfaces). Using the scenario about baseball game, the authors manipulated the consumer satisfaction after consumption (satisfaction vs. dissatisfaction) between-subjects design. And consumer self-confidence was measured based on Bearden et al.(2001). The results of experimental study showed that the main effects of satisfaction after consumption is significant. The larger consumer satisfaction after consumption reflected a higher degree of transaction coupling. The 2-way interaction between satisfaction after consumption and consumer self-confidence is also significant. Specifically, the transaction coupling differentiation from satisfaction after consumption tends to be larger at high consumer-self confidence than at low one.

• The KIPS Transactions:PartC
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• v.13C no.7 s.110
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• pp.889-896
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• 2006

ATM Forum has defined a guaranteed frame rate (GFR) service to serve Internet traffic efficiently. The GFR service provides virtual connections (VCs) for minimum cell rate (MCR) guarantees and allows them to fairly share the residual bandwidth. And ATM Forum has recommended a frame-based generic cell rate algorithm (F-GCRA) as a frame classifier, which determines whether an Am cell is eligible to use the guaranteed bandwidth in a frame level. An ATM switch accommodates cells in its buffer or drops them in a frame level according to current buffer occupancy. A FIFO shared buffer has so simple structure as to be feasibly implemented in switches, but has not been able to provide an MCR guarantee for each VC without buffer management based on per-VC accounting. In this paper, we enhance the F-GCRA frame classifier to guarantee an MCR of each VC without buffer management based on per-VC accounting. The enhanced frame classifier considers burstness of TCP traffic caused by congestion control algorithm so as to enable each VC to use its reserved bandwidth sufficiently. In addition, it is able to alleviate the unfairness problem in usage of the residual bandwidth. Simulation results show that the enhanced frame classifier satisfies quality of services (QoSs) of the GFR service for the TCP traffic.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.693-700
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• 2024

As of the end of March 2022, the total area of domestic industrial complexes is 606 km2, which is only about 0.6% of the total land area. However, as of 2018, the annual energy consumption of domestic industrial complexes is 110,866.1 thousand TOE, accounting for 53.5% of the country's total energy consumption and 83.1% of the entire industrial sector energy consumption. In addition, industrial complexes have a significant impact on the environment, accounting for 45.1% of the country's total greenhouse gas emissions and 76.8% of industrial sector greenhouse gas emissions. Under this background, in this study, in order to contribute to the energy efficiency of industrial complexes, a prediction study on energy demand and supply for an industrial complex in Korea using machine learning was conducted. In addition, a simulator UI screen was designed to more efficiently convey information on energy demand/supply prediction results and energy consumption status. Among the machine learning algorithms, Multi-Layer Perceptron (MLP) was used, and Bayesian Optimization was applied as an optimization technique for the prediction model. The energy prediction model for the industrial complex built in this study showed a prediction accuracy of 87.90% for compressed air demand and 99.54% for the flow rate available for the public air compressor.

• Journal of Korean Library and Information Science Society
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• v.40 no.2
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• pp.473-490
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• 2009

The purpose of this study was to analyze the recognition of those majoring Library & Information Science on the jobs that they can get and want to work for, employment requirements and their preparation, to identify problems and to suggest how to improve current status. To this end, the jobs and employment rate reported by most of the Depts. of Library & Information Science and the preferred jobs and preparation to those majoring library and information were surveyed with 107 students studying in the Dept. of Library & Information Science in the K University as the subjects. According to the results, 49 jobs were identified as the jobs that those majoring Library & Information Science could get into. In the 1st to 20th job ranking groups, 82.1% of all identified jobs, librarian job took lower ranking as 29.2% while other jobs accounted for 52.9%. However, among the jobs from the 1st to 20th ranking accounting for 96% of all jobs that the subjects wanted to have, the librarian job took 45.8% and other jobs 50.6%, which suggested that the preference on librarian job was slightly increased among the jobs that the subjects wanted to have. Furthermore, the employment requirements were classified into religion, language, scholastic achievement, certification and experience. In accordance with investigation on requirements from employment announcement, 92% were in the generally acceptable level or insufficient level. On the basis of such results, it is suggested to introduce a variety of jobs to students and to provide Case-by-Case employment guidance for improvement of employment rate and social capability of students.

• Journal of Service Research and Studies
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• v.10 no.3
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• pp.67-80
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• 2020

The information system audit service has been recognized for its effectiveness in improving the management efficiency of informatization projects in the public sector and improving the quality of information systems. However, according to several recent studies, it is not very helpful in securing quality by indicating formal audit performance and incorrect functions or errors in a short audit period. So, if the effectiveness of audit is proved to ensure the quality of the information system from the perspective of the software life cycle and to successfully operate and maintain it, the use of audit for the successful construction of the information system will be an essential factor. Therefore, this study investigated whether the current audit service users are satisfied with the current information system audit and what they expect. If it is different from what was expected, the difference between expectations and performance was analyzed to improve user satisfaction, and a survey was conducted through interviews with experts in the information system field. Based on the empirical results through the questionnaire, in order to reduce the difference in expectations from the user's point of view in the information system audit service, a plan to improve the audit system suitable for the new audit environment was proposed.

• Management & Information Systems Review
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• v.36 no.3
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• pp.151-165
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• 2017

This study investigates the effect of revenue recognition by percentage of completion method on financial analysts' earnings forecasting information in order industry. Specifically, we examines how the analysts' earnings forecast errors and biases differ according to whether or not to report the unbilled revenue account balance and the level of unbilled revenue account balance. The sample consists of 453 firm-years listed in Korea Stock Exchange during the period from 2010 to 2014 since the information on unbilled revenue accounts can be obtained after the adoption of K-IFRS. The results are as follows. First, we find that the firms with unbilled revenue account balances have lower analysts' earnings forecast accuracy than the firms who do not report unbilled revue account balances. In addition, we find that the accuracy of analysts' earnings forecasts decreases as the amount of unbilled revenue increases. Unbilled revenue account balances occur when the revenue recognition of the contractor is faster than the client. There is a possibility that managerial discretionary judgment and estimation may intervene when the contractor calculates the progress rate. The difference between the actual progress of the construction and the progress recognized by the company lowers the predictive value of financial statements. Our results suggest that the analysts' earnings forecasts may be more difficult for the firms that report unbilled revenue balances as applying the revenue recognition method based on the progress criteria. Second, we find that the firms reporting unbilled revenue account balances tend to have higher the optimistic biases in analysts' earnings forecast than the firms who do not report unbilled revenue account balances. And we find that the analysts' earnings forecast biases are increases as the amount of unbilled revenue increases. This study suggests an effort to reduce the arbitrary adjustment and estimation in the measurement of the progress as well as the introduction of the progress measurement method which can reflect the actual progress. Investors are encouraged to invest and analyze the characteristics of the order-based industry accounting standards. In addition, the results of this study empower the accounting transparency enhancement plan for order industry proposed by the policy authorities.

• Korean Journal of Remote Sensing
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• v.32 no.2
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• pp.195-200
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• 2016

Water vapor leading various scale of atmospheric circulation and accounting for about 60% of the naturally occurring warming effect is important climate variables. Using the Total Precipitable Water (TPW) from Moderate Resolution Imaging Spectroradiometer (MODIS) operating on both Terra and Aqua, we study long-term Variation of TPW and define relationship among TPW and climatic parameters such as temperature and precipitation to quantitatively demonstrate the impact on climate change over East Asia focusing on the Korea peninsula. In this study, we used linear regression analysis to detect the correlation of TPW and temperature/precipitation and harmonic analysis to analyze changeable aspects of periodic characteristics. A result of analysis using linear regression analysis between TPW and climate elements, TPW shows a high determination coefficient ($R^2$) with temperature and precipitation (determination coefficient between TPW and temperature: 0.94, determination coefficient between TPW anomaly and temperature anomaly: 0.8, determination coefficient between TPW and precipitation: 0.73, determination coefficient between TPW anomaly and precipitation anomaly: 0.69). A result of harmonic analysis of TPW and precipitation of two-year to five-year cycle, amplitude contribution ratio of 3.5-year cycle are much higher and two phases are similar in 3.5-year cycle.

• Convergence Security Journal
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• v.7 no.3
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• pp.87-93
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• 2007

We propose a mobile point-of-sale system, which consists of only mobile information terminals and personal computers. The proposed system provides most of functionalities related with resource planning, adminstration and management, provided by medium-scale or large-scale POS systems, with additional functionalities, such as automatic information gathering and management through mobile interconnection, while eliminating the necessity of additional special-purpose devices, such as bar-code systems. The proposed system transmits order information through wireless and wired communication lines, thus allowing real-time sharing of order information among diverse information devices, such as mobile order receiving terminals, main server within stores, monitors and printers located in production lines. Also, the system is able to transfer such detail information produced within stores in real-time to the enterprise-level accounting, sales, logistics, personnel management system, which facilitate enterprise-wide management and administrative decision-making. No additional programs are required for mobile terminals. Order information received by such terminals are entered into databases through web server of main server and that information is again transferred to main server and production line printers. The proposed system can handle all the point-of-sale information and can provide almost of the POS functionalities by simply utilizing wireless internet, personal computers, and mobile terminals without installing specific-purpose peripheral devices. The proposed system can be widely applied to the small-scale stores and will contribute in reducing construction and maintenance cost required for point-of-sale management.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.21-29
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• 2017

Stock investment becomes one of the most popular investments in these days, and the ultimate goal of investors in the stock market is to maximize profits and minimize losses, in order to achieve this, investors will select based on investment information. namely, the information about the company which we interest is essential to stock investors. Also, investors are affected by their propensity to invest according to their attitude toward risk. With these situations, this research tried to show the private investors' actual performance of Investment by studying individual investors' propensity and Information explore. The purpose of this study is to analyze the effect of investors' propensity and information search on investment satisfaction. The questionary method required some sample surveys. The data of the practical analysis was carried out with the on-line researching method. The researching time was from the 1st of Dec. 2016 to the 15th of Dec. 2016. Of the 357 questionnaires submitted, 7 were deemed inappropriate or incomplete; thus, 350 questionnaires were used in the final analysis of the study. For analysis methodology, this research is using SPSS 21.0 along with analytic techniques, such as implementation of basic statistical analysis, reliability, and regression analysis. The practical analysis results are as follows; Among the investment propensities, profit propensity, analytical propensity, and investment propensity has a significant effect on investment performance. On the other hand, brokerage firm information, firm accounting information, private information has a statistically significant effect on investment performance. Finally, we confirmed the mediating role of investment sentiment.

• Management & Information Systems Review
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• v.33 no.4
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• pp.21-38
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• 2014

This study investigates whether and how a firm's cost of equity is influenced by the extent of a firms's name change. Even though corporate name change doesn't give any benefit to investors, it can be a signaling about firm's future valuation. And also, if that signaling has high credibility, it can be decrease information cost and the firm's cost of equity. on the contrary to this, if corporate name change is kind of break with the past and corporate image laundering, it is bad signaling to investors. So it can be increase information risk and the firm's cost of equity. Using yearly cross-sectional regressions of the cost of equity on our proxies for corporate name change, size, beta, market-to-book ratio and other innate risk factor over the 2005-2010, we find that the cost of capital is positively associated with corporate name change after controlling for all other factors. This result implies that corporate name change increase information risk of the business, and thus increase information asymmetries between managers and outside investors with respect to a firm's true future value. This increases information risk, and creates an adverse selection problem, on the part of outside investors. Rational investors therefore demand a premium for bearing this corporate name change-related information risk, which in turn leads us to observe a positive relation between the intensity of corporate name change and the cost of equity.