Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.
Korean Journal of Agricultural and Forest Meteorology
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v.19
no.3
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pp.153-163
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2017
The objective of this study is to enhance the model's speed of estimating weather variables (e.g., minimum/maximum temperature, sunshine hour, PRISM (Parameter-elevation Regression on Independent Slopes Model) based precipitation), which are applied to the Agrometeorological Early Warning System (http://www.agmet.kr). The current process of weather estimation is operated on high-performance multi-core CPUs that have 8 physical cores and 16 logical threads. Nonetheless, the server is not even dedicated to the handling of a single county, indicating that very high overhead is involved in calculating the 10 counties of the Seomjin River Basin. In order to reduce such overhead, several cache and parallelization techniques were used to measure the performance and to check the applicability. Results are as follows: (1) for simple calculations such as Growing Degree Days accumulation, the time required for Input and Output (I/O) is significantly greater than that for calculation, suggesting the need of a technique which reduces disk I/O bottlenecks; (2) when there are many I/O, it is advantageous to distribute them on several servers. However, each server must have a cache for input data so that it does not compete for the same resource; and (3) GPU-based parallel processing method is most suitable for models such as PRISM with large computation loads.
This study attempts to encourage the development of a rehabilitation delivery system as a substitute service for hospitalization such as a community based intermediate facility or home health care. We need substitute services for hospitalization to curtail the length of stay for inpatients due to car accidents. It focused on developing an estimation for early discharge based on a detailed statement of treatment from medical records of 109 inpatients who were hospitalized at General Hospital in 1997. This study has three specific purposes: First, to find the mean length of stay and mean medical expenditure. Second, to estimate the mean of early discharge from the mean length of stay. Third, to analyize the income effect per bed from early discharge. In order to analyze the length of stay and medical expenditure of inpatients the author conducted a micro and macro-analysis with medical expenditure records. To estimate the early discharge we examined with a group of 4 experts decreases in the amount of treatment after surgery, in treatments, in tests, in drug methods. We also looked their vital signs, the start of ROM exercise, the time removel, a patient's visitations, and possible stable conditions. In addition to identifing the income effect due to an early discharge, the data was analyzed by an SPSS-PC for windows and Excell program with a regression analysis model. The research findings are as follows: First, the mean length of stay was 47.56 days, but the mean length of stay due to early discharge was 32.26 days. The estimation of early discharge days was shown to depend on the length of stay. The longer the length of stay, the longer the length before discharge. For example, if the patient stayed under 14 days the mean length of stay was 7.09 while an early discharge was 6.39, whereas if the mean length of stay was 155.73, the early discharge time was 107.43. The mean medical expenditure per day of car accident patients was found to be 169,085 Won, whereas the mean medical expenditure per day was shown to be in a negative linear form according to the length of stay. That is the mean expenditure for under 14 days of stay was 303,015 Won and the period of the hospitalization of 15 days to 29 days was 170,338 Won and those of 30 days to 59 days was 113,333 Won. The estimation of the income effect due to being discharged 16 days was around 2,350,000 Won with a regression analysis model. However, this does not show the real benefits from an early discharge, but only the income increasing amount without considering prime medical cost at a general hospital. Therefore, we need further analysis on cost containments and benefits incending turn over rates and medical prime costs. From these research findings, the following suggestions have been drawn, we need to develop strategies on a rehabilitation delivery system focused on consumers for the 21st century. Varions intermediate facilities and home health care should be developed in the community as a substitute for shortening the length of stay in hospitals. In home health care cases, patients who want rehabilitation services as a substitute for hospitalization in cooperation with private health insurance companies might be available immediately.
In order to see the effect of various factors on the success of grafting of walnut, a modified cleft grafting experiment has been conducted with Juglans sinensis Dode, J. regia (persian walnut), J. regiu (carpathian walnut), J. mandshurica, J. nigra and five cultivars of Carpathian walnut as "HANSEN", "METCALFE" "SCHOOL", "ILL CRATH", "LAKE" in a large green house equipped with automatic environmental control system in which temperature of the grafting bed at $28^{\circ}C$ and 85-100% for humidity during the period of January 1981-June 1983. As results of the experiments, the following facts were observed. 1) Hteroplastic grafting was proved to be more successful than homoplastic grafting with all five species tested among the J. regia (carpathian walnut), J. regia (persian walnut), J. sinensis, J. mondshurica, J. nigra. 2) It was interesting to notice that results hight survival of graft high as 99.33-100% with heteroplastic grafting when "Persian Walnut" and "Carpathian Walnut" was grafted on the stock of J. mandshurica and J. nigra. 3) A statistical significance of 5% Level was recognized in the above stocks among five species of homoplastic grafting with heteroplastic grafting and no significance among the scions. 4) The heteroplastic grafting when five cultivars of Carpathian Walnut as above as was grafted on the stock of Juglans nigra and J. mandshurica resulting high survival of graft as high as 85.33-100%. 5) As conclusion, the heteroplastic grafts of Carpathian Walnut and Persian Walnut was grafted on the stock of Juglans nigra and Jugdans mandshurica, the graft union, between stock and scion completed, in short period and was followed by a vigorous growth as well as "Cross Breeding", or hybrization, became apparent, with different desirable traits which could he used to cultivate a Later generation that combined these characteristics.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.7
no.1
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pp.189-206
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2012
It is urgently requested to innovate the management process of business-service areas in all industry such as financial business, services and manufacturing because of recent business trend - de-manufacturing trend and the weight increment of service in all industries. Many enterprises introduce various management - innovation methodologies in order to meet the rapidly changing business environment. Especially in Korea, it is a vogue to introduce the innovation methodology of the advanced company's. According to this style, the six sigma has been introduced over 10 years since late 1990's and it has become a synonym of innovation indeed. But the result of six sigma introduction has not reached to the level of expectation in its beginning. And the "Lean" have been introduced in Korea in the situation of global financial crisis, economic slump and the pursuit of developing country such as China. Many Korea companies pay attention to the "Lean" innovation activity because the TPS(Toyota Production System) is the matrix of Lean and is the motive power of Toyota growth. In this study, it was analyzed for the evolution course, distinctive features and effects of Lean management and was examined for the difference of Lean management between manufacturing industry and business-service areas. From this results, the characteristics of Lean management in business-service was analyzed. After survey of innovation agent in Korea company, the Lean model of business-service Industry was developed and applied. This study will be worthy to show the right direction to the enterprises which are to apply lean methodologies, or the enterprises which examine lean management for competitive advantages or the peoples who research the same topics.
This study investigated the interaction between groundwater and stream water systems, which is caused by the artificial weir on streambed, enforcing external stresses on the groundwater system. The study area is in Nami Natural Recreation Woods located in Chungcheongnam-do Geumsan-gun Nami-myeon Geoncheon-ri. In this study both of hydrophysical methods (hydraulic head) and hyrdochemical investigations (pH, EC, major ion analysis) were applied. In order to identify the relationship between each of study results, cross-correlation analysis is performed. From results of hydrophysical methods, water level fluctuation at BH-14, installed by the weir, shows the double-recession pattern much more frequently and much higher amplitudes than the fluctuation at each of other monitoring wells. Using the results by hydrochemical investigations, hydrochemical properties at BH-14 is similar to the hydrochemical characteristics in stream water. To analyze the interrelationships between the results from each of applied methods, cross-correlation analysis was applied. Results from the correlation analyses, water levels at BH-14 and stream weir showed the highest cross-correlation in hydrophysical aspects. On the other hand, the correlation between stream weir and bridge was the highest in hydrochemical aspects. The difference between the results from each of methods is due that the hydrophysical response at BH-14, such as water level, is induced by the pressure propagation-not with mass transfer, but the hydrochemical interaction, caused by mass transport, takes much more times. In conclusion impermeable artificial weir on streambed changes the interfacial condition between the stream and surrounding aquifers. The induced water flux into the groundwater system during flood period make water level at BH-14 increase instantly and groundwater quality higly similar to the quality of stream water. Referred similarities in both of water level and water quality at BH-14 become much higher when water level at weir grow higher.
Journal of the Korean Society for Library and Information Science
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v.4
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pp.43-71
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1975
Operations research has developed rapidly since its origins in World War II. Practitioners of O. R. have contributed to almost every aspect of government and business. More recently, a number of operations researchers have turned their attention to library and information systems, and the author believes that significant research has resulted. It is the purpose of this essay to introduce the library audience to some of these accomplishments, to present some of the author's hypotheses on the subject of library management to which he belives O. R. has great potential, and to suggest some future research directions. Some problem areas in librianship where O. R. may play a part have been discussed and are summarized below. (1) Library location. It is usually necessary to make balance between accessibility and cost In location problems. Many mathematical methods are available for identifying the optimal locations once the balance between these two criteria has been decided. The major difficulties lie in relating cost to size and in taking future change into account when discriminating possible solutions. (2) Planning new facilities. Standard approaches to using mathematical models for simple investment decisions are well established. If the problem is one of choosing the most economical way of achieving a certain objective, one may compare th althenatives by using one of the discounted cash flow techniques. In other situations it may be necessary to use of cost-benefit approach. (3) Allocating library resources. In order to allocate the resources to best advantage the librarian needs to know how the effectiveness of the services he offers depends on the way he puts his resources. The O. R. approach to the problems is to construct a model representing effectiveness as a mathematical function of levels of different inputs(e.g., numbers of people in different jobs, acquisitions of different types, physical resources). (4) Long term planning. Resource allocation problems are generally concerned with up to one and a half years ahead. The longer term certainly offers both greater freedom of action and greater uncertainty. Thus it is difficult to generalize about long term planning problems. In other fields, however, O. R. has made a significant contribution to long range planning and it is likely to have one to make in librarianship as well. (5) Public relations. It is generally accepted that actual and potential users are too ignorant both of the range of library services provided and of how to make use of them. How should services be brought to the attention of potential users? The answer seems to lie in obtaining empirical evidence by controlled experiments in which a group of libraries participated. (6) Acquisition policy. In comparing alternative policies for acquisition of materials one needs to know the implications of each service which depends on the stock. Second is the relative importance to be ascribed to each service for each class of user. By reducing the level of the first, formal models will allow the librarian to concentrate his attention upon the value judgements which will be necessary for the second. (7) Loan policy. The approach to choosing between loan policies is much the same as the previous approach. (8) Manpower planning. For large library systems one should consider constructing models which will permit the skills necessary in the future with predictions of the skills that will be available, so as to allow informed decisions. (9) Management information system for libraries. A great deal of data can be available in libraries as a by-product of all recording activities. It is particularly tempting when procedures are computerized to make summary statistics available as a management information system. The values of information to particular decisions that may have to be taken future is best assessed in terms of a model of the relevant problem. (10) Management gaming. One of the most common uses of a management game is as a means of developing staff's to take decisions. The value of such exercises depends upon the validity of the computerized model. If the model were sufficiently simple to take the form of a mathematical equation, decision-makers would probably able to learn adequately from a graph. More complex situations require simulation models. (11) Diagnostics tools. Libraries are sufficiently complex systems that it would be useful to have available simple means of telling whether performance could be regarded as satisfactory which, if it could not, would also provide pointers to what was wrong. (12) Data banks. It would appear to be worth considering establishing a bank for certain types of data. It certain items on questionnaires were to take a standard form, a greater pool of data would de available for various analysis. (13) Effectiveness measures. The meaning of a library performance measure is not readily interpreted. Each measure must itself be assessed in relation to the corresponding measures for earlier periods of time and a standard measure that may be a corresponding measure in another library, the 'norm', the 'best practice', or user expectations.
Park, Do-Hyung;Chung, Jaekwon;Chung, Yeo Jin;Lee, Dongwon
Journal of Intelligence and Information Systems
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v.20
no.4
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pp.1-23
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2014
Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models' predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an $N{\times}N$ map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.15
no.4
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pp.151-160
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2020
This study aims to figure out the status of university start-up education and support scheme, which are becoming more important as a major project of recent university policy, and to present policy tasks for promoting university start-ups by analyzing problems. A survey on education and support scheme about start-up was carried out from 800 students including those on leave of absence at D university located in metropolitan area and the analysis results are as follows. First, perception about start-up was highly positive due to various start-up education and support scheme from universities, but it was surveyed that university students have still low willingness to challenge start-up. Second, the biggest reason why university students avoid the start-up is 'the risk of start-up failure' at 40.8%, followed by 'Prioritizing getting a job' at 24.9% and 'lack of knowledge on start-up' at 13.4%. Also, difficulty from those who have already started business was mainly financing at 26.9%. The second was 14.0% for securing manpower, and the third was 11.8% for technology development. Third, the necessity of start-up education was in the order of 'starting-up' > 'preparing to start-up' > 'no intention to start-up'. The reason for the necessity of start-up education was 'motivation for various career choices' with 24.8%, followed by 'acquisition of various knowledge and skills for start-up' with 23.9%. Finally, efforts are needed to understand the importance of public relations for start-up policies in universities and figure out the problems of the start-up support scheme. The start-up education and support scheme should reflect the needs of university students, who are actual policy consumers, by shifting away from the method provided by existing suppliers.
Jo, Jung Hun;Kim, Byeong Jin;Roh, Shi Won;Lee, Hyeon Chan;Jang, Hyeong Jun;Kim, Hoi Nam;Song, Jae Hun;Kim, Young Jae
The Journal of Korean Society for Radiation Therapy
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v.25
no.1
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pp.33-40
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2013
Purpose: The purpose of this study was to evaluate the possibility to optimize the gated treatment delivery time and maintenance of stable respiratory by the introduction of breath with the assistance of auditory-visual-tactile sense. Materials and Methods: The experimenter's respiration were measured by ANZAI 4D system. We obtained natural breathing signal, monitor-induced breathing signal, monitor & ventilator-induced breathing signal, and breath-hold signal using real time monitor during 10 minutes beam-on-time. In order to check the stability of respiratory signals distributed in each group were compared with means, standard deviation, variation value, beam_time of the respiratory signal. Results: The stability of each respiratory was measured in consideration of deviation change studied in each respiratory time lapse. As a result of an analysis of respiratory signal, all experimenters has showed that breathing signal used both Real time monitor and Ventilator was the most stable and shortest time. Conclusion: In this study, it was evaluated that respiratory gated radiation therapy with auditory-visual-tactual sense and without auditory-visual-tactual sense feedback. The study showed that respiratory gated radiation therapy delivery time could significantly be improved by the application of video feedback when this is combined with audio-tactual sense assistance. This delivery technique did prove its feasibility to limit the tumor motion during treatment delivery for all patients to a defined value while maintaining the accuracy and proved the applicability of the technique in a conventional clinical schedule.
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