An, Kwang-Guk;Lee, Jae-Yon;Bae, Dae-Yeul;Kim, Ja-Hyun;Hwang, Soon-Jin;Won, Doo-Hee;Lee, Jae-Kwan;Kim, Chang-Soo
Journal of Korean Society on Water Environment
/
v.22
no.5
/
pp.796-804
/
2006
The objective of this research was to develop ecological multi-metric models using natural fish assemblages for a diagnosis of current stream health condition, and apply the model to nationwide lotic ecosystems of the Geum River, the Youngsan River, and the Sumjin River. The ecological stream health model was based on the index of biological integrity (IBI), which was originally developed in North American streams by Karr (1981), and the Rapid Bioassessment Protocol (RBP), which was scientifically established by the US EPA (1999). The metric numbers and metric attributes were partially changed for the regional applications, so the scoring criteria was modified for the assessment. Overall, metric values, based on the IBI calculations, reflected conventional water quality characteristics, based on nutrient regime, and agreed with results of staticeco-toxicity tests. Some stations impaired in terms of stream health were identified by the IBI approach, and also major key stressors affecting the stream health were identified by additional evaluations of physical habitats. Our preliminary results suggested that biological integrity in stream ecosystems was largely disturbed by habitat degradation as well as chemical pollutions. This new approach would be used as a key tool for ecological restorations and species conservations in the degraded aquatic ecosystems in Korea and applied for elucidating major causes of ecological disturbances. Ultimately, this approach provides us an effective management strategy of stream ecosystems through establishments of ecological networks in various watersheds.
Background: The purpose of this study was to identify role ambiguity of comprehensive nursing care unit nurses. Methods: A concept analysis method by Walker and Avant was used to understand role ambiguity of comprehensive nursing care unit nurses. Results: The antecedents of role ambiguity of nurses at comprehensive nursing units were shortage of nurses, unclear admission criteria, and demands for customized nursing care according to severity. Attributes include ambiguity in role delegation, patient placement ambiguity, and professional ambiguity among nursing staff. The consequences were diminished job satisfaction due to excessive workload, difficulty in resolving role ambiguity due to the lack of work analysis studies, and poor outcome of nursing indicators. Conclusion: Improvement of nationwide awareness for comprehensive nursing care unit is required. Clear division at scope of practice for nursing staff in accordance of each medical institution's characteristics is essential. Nurses at comprehensive nursing care unit should understand nature of role ambiguity that occurs as they work in large groups. Nurses should promote communications between nursing staff and they must have volition to improve status quo. An additional research of comprehensive nursing care on the causes of role ambiguity in the practice of nursing care for ward nurses is needed, and management measures should be sought at the organizational level.
Journal of the Korean Society of Clothing and Textiles
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v.14
no.1
s.33
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pp.3-12
/
1990
The purposes of this study were to determine the consumer dissatisfaction factors in the process of purchase and use of clothing, and to investigate the relationships between the dissatisfaction factors and selected variables-clothing importance, evaluative attributes, price, shopping stores. The research questionnaires selected from the pilot study were administered to 547 female subjects in the age of twenties. The dissatisfaction factors identified as a result of the factor analysis were as follows: (1) 'price' factor ($21.6\%$ of the total explained variance), (2) 'product assortment' factor ($21.5\%$), (3) 'purchase decision-making' factor ($19.9\%$), (4) 'quality' factor ($18.6\%$), (5) 'information and service' factor ($18.4\%$). By these five factors, the $34.7\%$ of the total variance were explained. The factors were validated by the multiple regression analysis. The purchase decisionmaking factor has the greatest explanatory power suggests that psychological aspects are more important to clothing dissatisfaction than any other objective aspects. The relationships between the dissatisfaction factors and the selected variables were found to be as follows: 1) The higher clothing importance scores, the higher product assortment related dissatisfaction score. 2) The higher the purchase price, the lower the price related dissatisfaction, but the higher the product assortment related dissatisfaction scores. 3) The department store and the national brand chain store shoppers had higher product assortment related dissatisfaction compared to the small retail store and discount store shoppers.
KSII Transactions on Internet and Information Systems (TIIS)
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v.10
no.4
/
pp.1892-1903
/
2016
Mobile social network is becoming more and more popular with respect to the development and popularity of mobile devices and interpersonal sociality. As the amount of social data increases in a great deal and cloud computing techniques become developed, the architecture of mobile social network is evolved into cloud-based that mobile clients send data to the cloud and make data accessible from clients. The data in the cloud should be stored in a secure fashion to protect user privacy and restrict data sharing defined by users. Ciphertext-policy attribute-based encryption (CP-ABE) is currently considered to be a promising security solution for cloud-based mobile social network to encrypt the sensitive data. However, its ciphertext size and decryption time grow linearly with the attribute numbers in the access structure. In order to reduce the computing overhead held by the mobile devices, in this paper we propose a new Outsourcing decryption and Match-then-decrypt CP-ABE algorithm (OM-CP-ABE) which firstly outsources the computation-intensive bilinear pairing operations to a proxy, and secondly performs the decryption test on the attributes set matching access policy in ciphertexts. The experimental performance assessments show the security strength and efficiency of the proposed solution in terms of computation, communication, and storage. Also, our construction is proven to be replayable choosen-ciphertext attacks (RCCA) secure based on the decisional bilinear Diffie-Hellman (DBDH) assumption in the standard model.
Objectives : This study was supposed to investigate factors which influence to preference of medical tourism products of Japanese tourists in Seoul, Korea. Methods : Data were collected from 228 Japanese tourists who visited' Seoul Center for Culture & Tourism' in Myeong-dong, Seoul, Korea. We measured factors which influence to preference for medical tourism. The data were analyzed by T-test, ANOVA, and multiple regression analysis. Results : The major findings were as follows ; Japanese tourists preferred medical products in the order of skin care, oriental medicine treatment, health screening, and scaling & teeth whitening. They considered technical level of medical staff most importantly, followed by safety of medical products, communication during diagnosis and treatment, follow-up service, modernization of medical facilities and equipment, and the reasonable medical expenses. Japanese tourists' preferred medical institutions in the order of a university hospital, a specialty clinic, a special hospital, They said they intend to pay 50,000 to 150,000 yen for medical tourism. The preference to medical tourism products are that single women group in their twenties and thirties for skin care, married people group aged over thirties preferred oriental medicine treatment, and married men aged over forties and high income earners favored health screening. Conclusions : It should be considered carefully that the preference exists on some factors especially for Japanese tourist. Further research about preference on medical tourism products for tourists from the other countries is required appropriately to fulfill the needs.
Hair style allows consumers to express their aesthetic sense and individual beauty. However, due to the attributes of hairdressing services and the high expectations of consumers, complaints are increasing rapidly. This study examined the complaint behavior, compensation and hair salon patronage of consumers. Then, a model is presented that explains the complaint behavior for hairstyling, forms of compensation, and hair salon patronage through empirical analysis. This study was conducted by a survey method. A total of 399 questionnaires were used for the analysis. The data were analyzed using SPSS 23.0 and AMOS 23.0 statistical software. The dimension of complaint behavior for hair style included verbal complaints, non-verbal complaints in the salon and private complaints outside the salon. The forms of compensation included re-procedure, psychological, and material compensation. Hair salon patronage was one-dimensional. These results were obtained through exploratory and confirmatory factor analysis. Then the conceptual model was empirically analyzed by covariance structure analysis and obtained in final form through model modification. Verbal complaint behavior positively influenced re-procedure compensation. In addition, non-verbal complaint behavior had positive effects on psychological and material compensation. Hair salon patronage was positively affected by re-procedure and psychological compensation. However, private complaint behavior had a negative effect on hair salon patronage. The direct and indirect effects of the paths among variables were verified by analyzing the mediating effects of different forms of compensations. It is possible to establish differentiated marketing strategies with these findings for consumers with complaint behaviors by considering the forms of compensation.
OSS(Open source software) pursues the freedom to have access to open source and offers several advantages, over the proprietary software, to enterprises. Based upon Rogers(1995)' innovation-diffusion process, we assume that attributes of innovations includes five characteristics of innovations: relative advantage, compatibility, complexity, trialability, and observability, and that firms' perceptions of these characteristics predict the rate of adoption of OSS. To test this hypothesis, we presents a survey result from 201 companies and institutions concerning the use of OSS. Statistical analysis shows that adoption is highly correlated with each of those characteristics of innovations, but the regression analysis indicates that only compatibility and observability have effects on the adoption of OSS. This implies that intrinsic value of OSS is important, but unless the appropriate service package for improving IT environment is provided, it is not easy to change the perspective of corporate customers more favorable toward OSS use. As a conclusion, the academic and practical implications are also discussed.
Purpose - It is a very important issue for the Korean tourism industry to increase tourism revenue by attracting foreign tourists. Although Japanese tourists have been an important part of the Korean tourism industry for a long time, the level of tourist satisfaction including accommodation has been at the worst compared to other foreign visitors, which strongly requires concrete solutions. Therefore, this study focuses on improving the satisfaction level of Japanese visitors in the use of accommodation, and find out the influence of the managerial response. Research design, data, and methodology - In this study, customer review and managerial response of hotels in Seoul were collected from "Rakuten Travel" which is the most representative online travel agency in Japan. As a result of collecting data from 2016 to 2018, 6,190 customer reviews and 1,241 managerial responses from 120 hotels were used for analysis. In addition, information on the properties of 120 hotels, such as the number of rooms, classification, types of hotel facilities, types of room facilities, accessibility and prices, were collected. To test the hypotheses, moderated multiple regression analysis was conducted with SPSS 22.0. Results - It was found that only 25 sites, 20.8% of the total 120 sites, were implementing managerial response and average response rate was 66.42% among them. As a result of examining the main effects of the hotel attributes on the ratings, accessibility and price are confirmed as effective variables. We also found that the response rate has a significant moderate effect in both the accessibility and price. In other words, there was a significant difference in the influence of accessibility and price on the ratings depending on the response rate. Also, it was confirmed that the response rate is not a pure moderator variable but a quasi moderator variable. Overall, the evidences partially supported the hypothesis. Conclusion - It was possible to provide important suggestions to the hotel managers who were concerned about managing tourist satisfaction with accessibility problems. It was found that the accessibility problem could be overcome by increasing the response rate. It was also confirmed that high ratings can be more effectively achieved for high priced hotels by increasing the response rate.
This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.
As generation of Web 2.0 comes in, enormous information of corporation from various platform are being produced. However, corporations should understand features of each platform and appropriate strategies in order to attract the public in the midst of such flood of information. Numerous studies have been conducted regarding SNS which has grown rapidly in recent but a study relating a specific medium is relatively in short. So this study analyzed how information of Instagram bulletin board is accepted in perspective of consumer in Korean and America, We examined the relationship between intention of acceptance and Word Of Mouth effect through meditating effect of information usefulness. To answer the research question, we conducted online survey with Korean and USA college students. The result showed that usefulness of the information was shown to the major intermediary variable between the information characteristics of bulletin board and the intention of acceptance intention and Word Of Mouth(WOM).
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