The Journal of Korean Institute of Communications and Information Sciences
/
v.40
no.5
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pp.892-902
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2015
Agri-food ICT(Information and Communications Technologies) convergence has been raised as an important issue for agricultural industry competence. In this situation, this study is to enhance agricultural competitiveness and seek to development plan for agricultural corporation by diagnosing informatization level. For this purpose, this study conducted survey on informatization level of 3,019 agricultural corporations and calculated level score. And result is compared with SMEs(Small and Medium Enterprise) informatization survey, including manufacturing and service industries, conducted by Korea Technology & Information Promotion Agency for SMEs in recent agricultural corporations' growing with automation of agricultural production and improving service to customer satisfaction. Evaluation system is established to calculate informatization level score and AHP(Analytic Hierarchy Process) method was used by the experts to investigate weighting of assessment area, assessment indicators, assessment items. As a result, agricultural corporation informatization level score was 40.16 points which is lower than the benefitted organization of agri-food IT convergence modeling(43.44 points). By assessment area, the informatization level of promotional environment area was low and investment and training items were analyzed low especially so need to improve urgently. In the analysis result by organization type, agricultural company corporation's informatization level was higher than the agricultural association corporation and 'Processing and distribution' was higher than others by business type. Informatization level of agricultural corporation is 80 percent of 2013 SMEs' level(50.18 points) and 59.4 percent of a large corporation(67.64 points). In particular, big difference is occurred in investment feasibility analysis, informatization investment and education which will be need to improve.
Despite lots of efforts to obtain an accurate picture of structure at the level of individual ASes, there is a few application works using the AS-level Internet topology. In this paper, we show that the power-law fits the number of down-stream customer ASes very well and also present the distributions of AS links with the "public view" from UCLA IRL laboratory. Moreover, we obtain the distributions of source-destination pairs of routing hops for two sites in Korea and the United States, and then we propose a new method to decide the randomness of Internet traffic using the obtained distributions and the BGP valley-free routing policy. The randomness of traffic must be a portent of outbreak of the distributed denial-of-service attacks.
Customer reviews which include subjective opinions for the product or service in online store have been generated rapidly and their influence on customers has become immense due to the widespread usage of SNS. In addition, a number of studies have focused on opinion mining to analyze the positive and negative opinions and get a better solution for customer support and sales. It is very important to select the key terms which reflected the customers' sentiment on the reviews for opinion mining. We proposed a document-level terms-based sentiment classification model by select in the optimal terms with part of speech tag. SVMs (Support vector machines) are utilized to build a predictor for opinion mining and we used the combination of POS tag and four terms extraction methods for the feature selection of SVM. To validate the proposed opinion mining model, we applied it to the customer reviews on Amazon. We eliminated the unmeaning terms known as the stopwords and extracted the useful terms by using part of speech tagging approach after crawling 80,000 reviews. The extracted terms gained from document frequency, TF-IDF, information gain, chi-squared statistic were ranked and 20 ranked terms were used to the feature of SVM model. Our experimental results show that the performance of SVM model with four POS tags is superior to the benchmarked model, which are built by extracting only adjective terms. In addition, the SVM model based on Chi-squared statistic for opinion mining shows the most superior performance among SVM models with 4 different kinds of terms extraction method. Our proposed opinion mining model is expected to improve customer service and gain competitive advantage in online store.
The purpose of this study is examining the differences of mobile SNS's service quality, which consists data quality and system quality, among the groups that are classified by commitment and customer loyalty. For the experimental analysis, the frequency analysis was performed for general characteristics of sample. The variables were selected by factor analysis that also prove the validity of variables. The value of Cronbach's alpha was calculated to check the reliability of variables. In addition, the group was determined by the both hierarchical and hierarchical cluster analysis, then ANOVA was performed to test the hypotheses that there are differences of mobile SNS's service quality, among the groups that are classified by commitment and customer loyalty. The results of this study support that there are differences among the groups toward mobile SNS's service quality and also shows the more commitment and loyalty group is the higher recognition of mobile SNS's service quality. Thus, the companies have to realize that mobile SNS is very important key factor to success in rapidly changing business environment. In conclusion, the companies implement different customized strategy for the different group and develop the contents and the applications to maximize the commitment and loyalty of for the mobile SNS users.
This study is an attempt to deduct environmental uncertainties facing next-generation convergence services, in four areas including customer, technology, service provider and regulation. We assess the level of residual uncertainty with regard to key environmental uncertainty factors, and conduct a scenario planning analysis. Based on the results of this analysis, we provide suggestions on market entry strategy for providers of this next-generation convergence service. The strategic assessment of six scenarios developed in this study, each with two levels of residual uncertainty (alternate futures and a range of futures) resulted in two key success factors (KSF), namely, customer demand trends and easing of advertising restrictions. Four types of strategic scenarios were then discerned, for each of which we present response capabilities that may be required of service providers, along with strategic suggestions. The results of this study are rich in implications for both policy-makers and regulators seeking ways to create and stimulate a convergence service market and prospective providers of next-generation convergence services, as they provide concrete tips related to market entry strategy, including efficient resource allocation, types of market entry and time-frames for entry.
IP QoS is not required to overcome the limitations of the existing Best Effort Service to connect to the explosion of the Internet traffic revenue. To IP QoS requirements of next-generation communication network, Metric Sizing Methodology is very important. However, IP networks have been developed with a focus gender flexibility and scalability than the QoS. Therefore, it is necessary to secure the quality measures for different existing IP technology to apply QoS in IP networks. When establishing the connection quality and transmission quality, based on the IP QoS(Quality of Service) objective data quality metrics can be obtained by analyzing the communication quality hindrance. Understanding the communication quality level may evaluate quality sensitive area and quality hindrance. Establish effective quality metrics can be expected to promote effective and customer satisfaction through improved quality, improved call quality for this issue.
The purpose of this study is to investigate previous data and possibility of the new culture building, insuring substantiality of the education in junior college, increasing of practical carrier, acquiring the money for practical class, and the direction of demand for education in a high level of industrial society. There's two parts to consist of investigation and the model case in wedding business in Junior college. The research groups in one part consist of 277 students in Junior college. The result were as follows: 1) The students would like to get the wedding business in new culture building. (72%) 2) The student shave got a idea to recommend to use the wedding facilities for their for their relative sand friends. (51%) 3) The trend of selecting in wedding facilities is outside than inside of facilities. (75%) 4) They would like to have the buffet service after wedding celemony, not a la carte for choose the meal. The above research data suggest that if the wedding facility's management would be accept, we could have expectation about development of junior college, emphasis of practical education and good wedding culture in this areas. For the most of student, they has a righ hand to manage the wedding facility in their college. First, the culinary students could have an experience of service practies to the customer in wedding celemony, as the result of training will be great. Second, the college could show their vision and hope to customer to interest it. Third, it can be supplied the right wedding culture and the wedding facilities which is low price and good circumstance for wedding. Fourth, it's very resonable to use the culture facilities during no class, Saturday and Sunday. Fifth, income from business can be used only a scholarship and a community development. Sixth, it can be induced the self-participication and motivation to take up a positive attitude for their life.
Joint financial network of Korea Financial Telecommunications and Clearings Institute, which is an essential facility with a natural monopoly, maintained its closedness as monopoly/public utility model, but it has evolved in the form of open banking in order to obtain domestic fintech competitiveness in the rapidly changing digital financial ecosystem such as the acceleration of Big Blur. In accordance with digital transformation strategy of financial institutions, various ICT companies are actively participating in the financial industries, which has been exclusive to banks, through the link technology called Open API. For this reason, there has been a significant change in the financial service supply chain in which ICT companies participate as users. The level of security in the financial service supply chain is determined based on the weakest part of the individual components according to the law of minimum. In addition, there is a perceived risk of personal information and financial information leakage among the main factors that affect users' intention to accept services, and appropriate protective measures against perceived security risks can be a catalyst, which increases the acceptance of open banking. Therefore, this is a study on factors affecting the introduction of open banking to achieve financial innovation by developing an open banking security control model for financial institutions, as a protective measures to user organizations, from the perspectives of cyber financial security and customer information protection, respectively, and surveying financial security experts. It is expected, from this study, that effective information protection measures will be derived to protect the rights and interests of financial customers and will help promote open banking.
Purpose - In order to collect information needed for the establishment of more effective marketing strategies of on-line purchasing agent services targeting Chinese consumers, the study investigated the relationship among Chinese selection criteria. They included fashion products, use of information source, and satisfaction with on-line purchasing agent services. The study also identified the differences in the Chinese selection criteria of fashion products, use of information source, and the satisfaction level with on-line purchasing agent services according to their age and gender. Research design, data, and methodology - The study was implemented through a normative-descriptive survey method using a self-administered questionnaire. Data were collected from February 9 to 28, 2016, and analyzed by factor analysis, ANOVA and Duncan test, t-test, and multiple regression analysis. Results - Differences were found in selection criteria of fashion products and use of information sources among groups. Thirty's age group was concerned about price/brand more than the twenty's were. Twenty's were concerned about practicality/quality of the products more than the thirty's. Hallyu/broadcasting was used by men more than by women as an information source of Korean fashion. SNS/WOM(word of mouth) was used more by women than by man. Twenty's showed lower level of satisfaction with customer services/credibility than other factors. The thirty's showed lower level of satisfaction with informational role of the service than other factors. Those who utilize each type of fashion information source more showed higher satisfaction level with on-line purchasing agent service of Korean fashion products.. In general, according to the selection criteria and use of information, there were differences in satisfaction with on-line purchasing agent service of Korean fashion products. Conclusions - Considering the findings of the study, as well as age, gender, selection criteria and use of information source, Chinese consumers could be used as a criteria of market segmentation for on-line purchasing agent services of Korean fashion products. The results manifested that there is a need to differentiate marketing strategies according to the satisfaction levels with each satisfaction factors of on-line purchasing agent service of Korean fashion products.
Customer satisfaction concerning foodservice quality characteristics were evaluated by using importance performance analysis(IPA) techniques in middle school foodsevice operations. One hundred students from each of 17 middle schools in Gangwon province were surveyed by self-developed questionnaire. Total of 1,675 questionnaires(female 943 and male 732 respectively) were collected and data were analyzed using SAS program. The results of this study are summarized as follows: 1.The male and female students scored the importance level as 3.99 and 4.03 out of 5 respectively, which means 'important' The performance level of female(2.71) was significantly lower than male(2.86) which means 'between bad and so-so'. it is suggested that the statistical analysis should be conducted respectively according to gender. And there is no performance level over 4(good). 2. Dissatisfied quality attributes identified were convenience of dinning room and the managerial attitude of dissatisfaction in the female and male students. 3. Satisfied quality attributes identified were hygiene of food and dinning room and spoon and cup and drinking water table and distribution process, taste of food, variety of food in the female and male students. 4. The performance scores of lower price(less than 1500 won) lunch group was higher than higher price(more than 1800 won) lunch group in the female and male students.
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