Purpose: In this study, we investigated the better application of the law which is about the AED installation and more effective ways of emergency medical care system, to understand the law and to research the current condition of public facilities which belong to local governments, and to seize the aspect of safety guards who currently work in order to provide the installation of AED in the public facilities and to provide more efficient emergency medical service with the effectuation of the immunity law of the good intention of first-aid treatment. Methods: In Gwang-ju, 234 public facilities have been identified by 31 December, 2008. With the exception of the duplication, we researched 158 facilities and received the answers from 95 of them. Results: In the research, 53% of them have had internal emergency first-aid education, and 55% of them didn't have this education and a CPR education manual, and 30% of the facilities even didn't know how to connect with the manager of the company for the first-aid department. On the other hand, most of them were highly interested in CPR and AED education on the ratio of 91% and 93%. 88% of them have been trained about first-aid, 51% of them haven't been retrained, 17% have never been trained. so, the reality of emergency system at public facilities is serious. 78% of them knew they are working at public facilities, though 49% of them didn't know about AED installation. 57% of them didn't know the fact there is the immunity law related with good intentions for first-aid treatment. 63% of the facilities have security guards, and 30% of them didn't answer the questions. Also, many of them agreed to the opinion that all employees should have first-aid training. At representative survey report of participator of public-facility, emergency treatment is 61%, 16% of patients calling. Accordingly they importantly think better doing an on-site first-aid than evacuating the patient. And the rates show that 57% of them answerers tend to call Fire-Office(119) for evacuating the patients, and 28% of them EMIC(1339) for the first-aid. Conclusions: In this study, we are suggest to improve the details of the efficient operations and management after the grasp of the uninstallation, indifference, and unreliable conditions of AED. 1) Need a publicity of AED install cognition which is an emergency medical instrument at public facilities. 2) Arrangement of safety agents at facilities and concerns about them for good management from the parties concerned. 3) Need a designation of legal details according to the decision of the AED installation and the standard of the AED installation. 4) Training about first-aid of safety guards and the persons concerned in the facilities should be practiced participation with the positive and through this, first-aid treatment could be done by anyone who knows the immunity law related to medical emergency. 5) The brochures for the potential users and the results form practicing the instructions need to be improved in many ways through recording the emergency cases that have happened.
The management of data on biological diversity is presently complex and confusing. This study was initiated to construct a database so that such data could be stored in a data management, and analysis instrument to correct the problems inherent in the current incoherent storage methods. MySQL was used in DBMS(DataBase Management System), and the program was basically produced using Java technology Also, the program was developed so people could adapt to the requirements that are changing every minute. We hope this was accomplished by modifying easily and quickly the advanced programming technology and patterns. To this end, an effective and flexible database schema was devised to store and analyze diversity databases. Even users with no knowledge of databases should be able to access this management instrument and easily manage the database through the World Wide Web. On a basis of databases stored in this manner, it could become routinely used for various databases using this analysis instrument supplied on the World Wide Web. Supplying the derived results by using a simple table and making results visible using simple charts, researchers could easily adapt these methods to various data analyses. As the diversity data was stored in a database, not in a general file, this study makes the precise, error-free and high -quality storage in a consistent manner. The methods proposed here should also minimize the errors that might appear in each data search, data movement, or data conversion by supplying management instrumentation on the Web. Also, this study was to deduce the various results to the level we required and execute the comparative analysis without the lengthy time necessary to supply the analytical instrument with similar results as provided by various other methods of analysis. The results of this research may be summerized as follows: 1)This study suggests methods of storage by giving consistency to diversity data. 2)This study prepared a suggested foundation for comparative analysis of various data. 3)It may suggest further research, which could lead to more and better standardization of diversity data and to better methods for predicting changes in species diversity.
With the growth of Web 2.0, lots of services allow yours to post their personal information and useful knowledges on networked information spaces such as blogs and online communities etc. As the services are generalized, recent researches related to social network have gained momentum. However, most social network services do not support machine-processable semantic knowledge, so that the information cannot be shared and reused between different domains. Moreover, as explicit definitions of relationships between individual social entities do not be described, it is difficult to analyze social network for inferring unknown semantic relationships. To overcome these limitations, in this paper, we propose a social network analysis system with personal photographic data up-loaded by virtual community users. By using ontology, an informative connectivity between a face entity extracted from photo data and a person entity which already have social relationships was defined clearly and semantic social links were inferred with domain rules. Then the inferred links were provided to yours as a visualized graph. Based on the graph, more efficient social network analysis was achieved in online community.
The rapid progress of IT technologies promoted the foundation to offer users 'Any Time, Any Where, Any Service', and wireless internet services made it possible to use wired internet services while traveling. The previous academic administration management system having migrated from wired to wireless was dependent on mobile equipments' platform because of not being constructed on standard surroundings. And in the aspect of faculty system, course coordinator plays an significant role in building curricula and manage them, and finally counseling students with regard to them. But the course coordinator can't afford to advise students on which fields of their faculty fit them and which courses they have to take. We propose a mobile course coordinator system to help students learn profound courses of their major fields. Also the proposed system is implemented by using JAVA and WIPI technology, so that it is platform-independent. A mobile course coordinator system has an inference engine considering not only course trees which tell informations about the courses in every fields, but also personal courses that students have taken. The inference engine calculates three weights, representing the significance of each course considering every fields, the score of prerequisite courses which a student have taken, and the suitability in which department each student fits. When students apply for taking lectures, a mobile course coordinator system recommends them the most suitable courses. A mobile course coordinator system is able to substitute for the course coordinator who is counseling students. And the students with personal cellular phone are able to keep tracking their courses, and improve their knowledge about major with taking courses which the system's inference engine will advice.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
/
v.8
no.4
/
pp.67-79
/
2013
A meta-analysis is a statistical literature synthesis method that provides the opportunity to view the research context by combining and analyzing the quantitative results of many empirical studies. The technology acceptance model (TAM) has been the subjects of a great deal of MIS research in the last two decades and now also has been continuously studied. Recently, the convergence of knowledge information society and information telecommunication technologies has a rapid impact on politics, economics and various fields. The biggest issue in the information communication and information systems fields is smart. Therefore, we conducted a meta-analysis research on the behavioral intention of smart phone users based on technology acceptance model. Also, this study was targeted a total of 50 research papers that are setting up the causal relationship in TAM among the research papers published in domestic academic journals since 2005. The result of the meta analysis, showed that the effect size was 0.48 in the path from perceived usefulness to behavioral intention, it showed that the effect size was 0.46 in the path from perceived ease of use to behavioral intention. And, it showed that the effect size was 0.46 in the path from perceived ease of use to perceived usefulness. Also, it showed that the effect size was 0.61 in the path from attitude to behavioral intention. Based on the results, it was discussed the difference through comparative analysis with previous research.
Nowadays, product recommendation is one of the important issues regarding both CRM and Internet shopping mall. Generally, a recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly and thereby automatic recommendation methodologies have got great attentions. But the researches and commercial tools for product recommendation so far, still have many aspects that merit further considerations. To supplement those aspects, we devise a recommendation methodology by which we can get further recommendation effectiveness when applied to Internet shopping mall. The suggested methodology is based on web log information, product taxonomy, association rule mining, and decision tree learning. To implement this we also design and intelligent Internet shopping mall support system based on agent technology and develop it as a prototype system. We applied this methodology and the prototype system to a leading Korean Internet shopping mall and provide some experimental results. Through the experiment, we found that the suggested methodology can perform recommendation tasks both effectively and efficiently in real world problems. Its systematic validity issues are also discussed.
Mashups have become very popular over the last few years, and their use also varies for IT convergency services. In spite of their popularity, there are several challenging issues when combining Open APIs into mashups, First, since portal sites may have a large number of APIs available for mashups, manually searching and finding compatible APIs can be a tedious and time-consuming task. Second, none of the existing portal sites provides a way to leverage semantic techniques that have been developed to assist users in locating and integrating APIs like those seen in traditional SOAP-based web services. Third, although suitable APIs have been discovered, the integration of these APIs is required for in-depth programming knowledge. To solve these issues, we first show that existing techniques and algorithms used for finding and matching SOAP-based web services can be reused, with only minor changes. Next, we show how the characteristics of APIs can be syntactically defined and semantically described, and how to use the syntactic and semantic descriptions to aid the easy discovery and composition of Open APIs. Finally, we propose a goal-directed interactive approach for the dynamic composition of APIs, where the final mashup is gradually generated by a forward chaining of APIs. At each step, a new API is added to the composition.
User involvement in New Service Development(NSD) has attracted the limelight as a good method, but we still lack an empirical analysis of the effectiveness of user involvement. In addition, positive and negative determinants of user involvement in NSD have not often been dealt with in past research, and this deficiency has been identified as a barrier to the effective utilization and diffusion of user involvement in NSD. To our knowledge, this is the first study to empirically investigate the degree of implementation of user involvement in NSD, the effectiveness of user involvement, and the utilization strategy in the digital content industry. First, we reveal that ordinary user involvement is more effective for NSP performance than lead users or business partner companies. Second, we empirically demonstrate that the effectiveness of involving lead user and ordinary user in NSP is different according to the new service type and service development stage. Based on the results of our analyses, we suggest some strategic directions for the companies who want to newly adopt or improve their current level of user involvement in NSD. We expect that the implications of this study will be utilized for efficient diffusion of user involvement in NSD and will eventually contribute to tangible achievements for companies in the digital content industry.
The paper aims to analyze the logic and power of open source software (OSS), and to show the ways in which Korean government and companies support developing countries in the field of software development. Many developing countries are considering software industry to be a strategic industry due to the fact that software industry seems to be labor-intensive, or rather knowledge-intensive industry. In this regard, developing countries without huge financial investment can achieve certain level of economic development while leveraging software industry. Concerning software development tools, among recent trends OSS has been regarded as a viable alternative software development tool for developing countries. In developing countries, OSS is believed to resolve some difficulties caused by proprietary software such as Microsoft Windows, which is too expensive to buy for users and developers in low-income developing countries. In this sense, OSS has been considered as only solution for software developing because OSS is able to reduce the cost of software development and to enhance the technological capabilities of developing countries. In addition to the benefit of low cost, we have to shed light on the business model of OSS that is not to sell software licence, but to provide technical support and services. In order to use OSS as much as they can, developing countries have to invest for educating human resources who can develop and implement software system using OSS. These OSS-related policies can lead developing countries to developed countries.
Purpose - Despite that the importance of small enterprises' performance in the community has been magnified, no study has been conducted yet on the performance based on consumers directly faced by small enterprises. Accordingly, this study aims to investigate the relationship between the life styles of consumers who use small enterprises' stores by type and the word of mouth(WOM) effects, which are concrete behaviors of consumers. Research design, data, and methodology - The VALS classification system was utilized to classify the types of life styles of consumers who use small enterprises' stores. The consumers were divided into a total of four types. This study was intended to investigate the effects of the types of consumers on the word of mouth(WOM) effects of consumers who use small enterprises' stores along with the effects of consumers' perception of economic situations on their word of mouth(WOM) effects after using small enterprises' stores. Results - The results of the study indicated that among the types of consumers who use small enterprises' stores, the group that pursues faith and the group that pursues knowledge had positive (+) effects on favorable word of mouth(WOM) effects. However, the group that pursues trends and the group that pursues action were shown to have no effect and positive or negative perceptions of economic situations were shown to have no effects of the word of mouth(WOM) effects of users of small enterprises' stores. Conclusions - In this study, as a measure to create small enterprises' performance, word of mouth(WOM) effects on small enterprises' stores according to consumers' consumption behaviors were examined focusing on consumers. Through the study results, the groups of consumers who use small enterprises' stores by type that provide favorable word of mouth(WOM) effects were derived. And This Study aims to investigate the relationship between the four type life styles of consumer who use small enterprises' stores and the word of mouth(WOM) effect. Accordingly This study is significant in that it derived a measure to create small enterprises' performance centering on consumers and that it presented a cornerstone for the establishment of small enterprises at the government level.
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