Among the customer-oriented data used to comprehend the customer, the user review data has received much attention as it provides insights into customer opinion in a detailed and large-scale manner; many customers have come to rely upon and trust the user reviews. Many application developers are cognizant of the importance of user reviews, so they monitor and respond to these reviews. However, due to the absence of a systematic method, developers have been investing their time and money without clear correlation to the customer satisfaction. Therefore, this paper suggests a systematic method to select user reviews from the application market using the Kano Model that deals with customer satisfaction and service quality, thereby maximizing the customer satisfaction under the given time period and budget. This method is constructed in the following phases: the user review collection and requirement elicitation phase in which the developers collect user reviews from the application market and elicit requirements, the Kano Model application and selection phase in which the Kano Model is applied to the elicited requirements and selection occurs based on the quality type, and the stakeholder review and redefinition phase in which relevant personnel gather to review and redefine requirements from an internal perspective.
Purpose: This study empirically examines the effect of Communication Privacy Management(CPM) factors and Privacy Calculus factors to the intention to disclose Personal Health Information(PHI) in the context of healthcare ecosystem. Also, it investigates the moderating effects of CPM factors in the relationship between privacy calculus variables and the intention to disclose PHI. Methods: We conducted scenario-based repeated-measures quasiexperiment and used total 364 samples for analysis. Confirmatory factor analysis and repeated-measure ANOVA were employed using SPSS 24.0. Results: All CPM factors, such as type of information, requesting purpose, and requesting stakeholder, directly influence to the intention to disclose PHI, whereas only the medium trust out of the Privacy Calculus factors has direct influence on the intention to disclose PHI. With regard to the moderating effects, the requesting stakeholder is the most influential and the information type is the least influential construct. Conclusion: The findings suggest that healthcare system should be designed to provide more definite and personalized benefits to customers to enhance social and individual benefits by getting more participation from customers. Also, it is desirable that the requesting stakeholder of PHI would be non-profit organizations such as hospital, government or public agencies to secure more willingness of PHI from people. Furthermore, it is implied that extensive information gathering and utilization, instead of excluding sensitive information or critical patients' records, is recommended which is substantial to invigorate the healthcare industry.
The meaning and role of science culture based on such values as rational thinking, creativity, critical validation has been growing in the process of discussing various social problems. In order to diffuse science culture, it is important to sustain citizen's activeness by providing contents which can induce interest on the base of two-way communication between public and experts and to support citizen activities performed voluntarily. To that end, various people such as scientist, government policymaker, communicator, those in charge of culture and art, exhibition curator should make up collaboration system and such requirement as motivation, leadership, agreement between the participants, communication, trust relationship is also to be met properly in order to proceed collaboration efficiently. This study reviews how these factors are coming true in governmental project for science culture and develops proposal for improvement on the base of opinions collected through expert meetings, interviews, workshop and data research. In addition, it explains that government must strengthen scientific cultural project personnel and lay infra such as communications hub, regional center, platform and improve the business selection method to promote competition and collaboration among project participants with reformation of reward and regulatory systems. It is performed to suggest comprehensive ways to increase efficiency of project for science culture out of not the deficit model which regard public as passive acceptant but context model or PES(public engagement in science) that take public who focus his attention and participate actively into account.
Journal of the Korean association of regional geographers
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v.18
no.2
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pp.141-160
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2012
This paper evaluates the governance of the Andong International Mask Dance Festival. The evaluation focuses on mutual cross-assessment of agents engaging in governance relating to four elements: social justification, reliability, professionalism and transparency. Governance based on co-operative partnership was the essential factor leading to the mask festival's success. Governance of the Andong International Mask Dance Festival in 2011 was privately initiated governance having horizontal and open partnership among festival specialists, civil society organizations, regional business organizations, volunteers and local government, with the Andong Festival Tourism Foundation as the central figure. Three of governance elements were successfully carried through; the exception was transparency. The agents who gave more positive evaluations were those who played leading roles in planning and conducting events, as well as in assessing those events. The reasons for positively assessing the elements are the significance of the festival and the guarantee of agents' participation in social justification; the ability of agents, as well as cognitional and institutional trust in reliability; expert knowledge, capacity to suggest alternatives and duality of business in professionalism; and effective communication, the guarantee of opening of information and information sharing in transparency. To improve the effectiveness of governance, the system for allowing passive agents to contribute usefully should be strengthened. Mutual communication and sharing of information among agents, as well as between agents and residents, also should be more strongly reinforced.
The purpose of this study is to analyze the process of growth of parental empowerment of the family of the children with development disabilities in an online parental community. For this purpose, 250 posts were selected from a web-forum of an online-community(internet CAFE) for patients with developmental disabilities in a Korean portal site. In addition, the selected posts were analyzed based on the grounded theory method. The results showed that the parents with high risk children for developmental disabilities interacted with each other in short answers, self-addressing, and discussion type interactions under the causal condition in which the subject parents were in need of help and sympathy. The factors that significantly affected the focus event, which is the interactive communication between the posters of the original threads and replies, included the moderating conditions based on whether the conversation was respectful, friendly, or for general evaluation, as well as the contextual condition of exclusive attitudes. The strategies of the interactions were composed of two categories of self-reflections and sharing through a human relationship. The results of these interactions were either further interactions (sharing) or shying away. With regard to the process of reinforcing the collective empowerment of the family, the 'determination,' 'tips,' and 'empathy' models were used for the explanation of the process. Lastly, we discovered that trust, support, continuous interactions, specific and practical information, as well as provision of diversified perspectives through collective experiences are necessary to achieve such improvement of collective family empowerment.
IoT devices, which are used in various ways in distributed environments, are becoming more important in data transmitted and received from IoT devices as fields of use such as medical, environment, transportation, bio, and public places are diversified. In this paper, as a method to ensure the reliability of IoT data, an autoencoder-based IoT-linked processing technique is proposed to classify and process numerous data by various important attributes. The proposed technique uses correlation indices for each IoT data so that IoT data is grouped and processed by blockchain by characteristics for IoT linkage processing based on autoencoder. The proposed technique expands and operates into a blockchain-based n-layer structure applied to the correlation index to ensure the reliability of IoT data. In addition, the proposed technique can not only select IoT data by applying weights to IoT collection data according to the correlation index of IoT data, but also reduce the cost of verifying the integrity of IoT data in real time. The proposed technique maintains the processing cost of IoT data so that IoT data can be expanded to an n-layer structure.
This quasi-experimental study was conducted to develop and implement a team facilitation program as well as to evaluate the effects of the program on Problem Based Learning (PBL) and how these influence on team dynamics. Data were collected in a convenient sample of 126 nursing students (intervention group=69; control group=57). Data were analyzed using ${\chi}^2$ test, T-test, and ANCOVA. SPSS23 was used. The intervention group received the PBL team facilitation program, whereas the control group received a human interaction training. The intervention group than the control group demonstrated significantly higher scores in a team dynamic among team members(F=10.35,p<0.01), trust among team members(F=9.86,p<0.01), communication(F=5.69,p<0.05), learning behavior of a team(F=4.57,p<0.05), and individual capability evaluation(F=5.12,p<0.05). Team performance was not significantly different between groups. This study reveals that the team facilitation program is an effective strategy to maximize the effects of PBL. We propose the need for educational strategy to support team function.
So, Yun-Ji;Kim, Suna;Lee, Jee-Hyeon;Park, Eun-Young;Kim, Hee-Jung;Kim, Ji-Sun;Kim, Jeong-Weon
Korean journal of food and cookery science
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v.29
no.2
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pp.105-113
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2013
Consumer organizations usually lead the opinions of the consumers. This study was performed to investigate the perceptions and information needs of consumer organizations on food additives for the promotion of risk communication. A survey was conducted for 4 weeks in March 2012 by using a self-administered questionnaire consisting of 32 questions. Total 111 responses were collected for analysis. 'Safety (91.0%)' was the most important factor influencing the purchase of processed food, and both 'food additives (24.3%)' and 'environmental pollution (23.4%)' were considered as main risk factors. The longer the career of the members had, the higher negative perceptions on food additives (p<0.01). About 70% of the respondents who had known KFDA's researches on evaluating safety of food additives answered that researches were not enough to make sure the safety. Although lectures and other domestic organization were the main channels for getting information, 'TV' was considered as the most suitable way for it. 'Poor risk communication (32.4%)' was pointed out as the serious problem of government's food safety policy. Based on these results, consumer organizations' low level of trust on government should be overcome by continuous supply of information what they need to facilitate risk communication on food additives.
Journal of the Korean Society of Earth Science Education
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v.17
no.2
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pp.86-101
/
2024
The purpose of this study is to provide basic data on the importance of accurate scientific communication and the current status of popular astronomy based on science articles that occurred during the so-called Super Blue Moon astronomical phenomenon in August 2023. To this end, the subjects were divided into non-experts, quasi-experts, and experts based on the degree of knowledge of the astronomical universe to investigate the data interpretation ability of astronomical science information and to analyze the causes of errors in the interpretation process through in-depth interviews. We also investigated the favorability and reliability of research institutes that strive to provide scientific information and the media that strive to spread it and also investigated the changes in existing favorability and reliability when incorrect scientific information spreads, as in this case. Although there were differences in the interpretation of scientific information about the astronomical universe depending on the cognitive aspect, the influence of linguistic elements or literacy, which could be called communication, could not be ignored. In particular, it was confirmed that misconceptions inherent in the existing research subjects could be expressed, leading to errors in accurate information interpretation. In addition, after recognizing that errors were included in the spread of scientific information, the subjects' favorability toward research institutes and the media fell 12.30% and 17.58%, respectively, while reliability fell 19.40% for research institutes and 24.49% for media outlets. Regardless of the cause of the error, the importance of providing accurate scientific information is further emphasized, considering that the overall favorability and reliability of both research institutes and the media decline. In order for research institutes and media outlets to spread accurate scientific information about the astronomical universe based on the public's trust, it is necessary to establish a system that can accurately deliver error-free information generated by research institutes related to astronomical space to media or science communicators and to develop a system that quickly retrieves and corrects incorrect scientific information through continuous monitoring.
As the environment using intelligent IoT devices increases, various studies are underway to ensure the integrity of information sent and received from intelligent IoT devices. However, all IoT information generated in heterogeneous environments is not fully provided with reliable protocols and services. In this paper, we propose an intelligent-based multi-blockchain model that can extract only critical information among various information processed by intelligent IoT devices. In the proposed model, blockchain is used to ensure the integrity of IoT information sent and received from IoT devices. The proposed model uses the correlation index of the collected information to trust a large number of IoT information to extract only the information with a high correlation index and bind it with blockchain. This is because the collected information can be extended to the n-tier structure as well as guaranteed reliability. Furthermore, since the proposed model can give weight information to the collection information based on blockchain, similar information can be selected (or bound) according to priority. The proposed model is able to extend the collection information to the n-layer structure while maintaining the data processing cost processed in real time regardless of the number of IoT devices.
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