• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.2
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• pp.51-86
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• 1996

The primary purpose of this study is to verify the difference of behavioural characteristics between the subject specialists and professional searchers in searching full-text databases. The major findings and conclusions from this study are summarized as follows. Analyses of Search questions(the degree of understanding with search questions, the degree of difficulty in selecting terms, and the degree of expectation of search results), search processes(the number of search terms used, the number of Boolean operators and qualifiers used, the number of documents browsed and the search time(the connecting time, time to spend per one output document, time to spend per one relevant output document) and search results(the searching efficiency(the number of relevant documents, the ,recall ratio and the precision ratio), the search cost(the total search cost. the search cost per one output document and the search cost per one relevant output document) and the degree of satisfaction with search results) are significantly different between the subject specialists and professional searchers in searching full-text databases.

• Journal of Korean Academy of Nursing Administration
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• v.2 no.2
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• pp.109-120
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• 1996

Nurses' job satisfaction was influenced by intrinsic factors and extrinsic factors. According to motivation theory, job satisfaction is determined by the degree of discrepancy between employees' expectation and rewards to employees that meet their basic needs. Spiritual wellbeing is a combination of religious wellbeing and existential wellbeing. It is not simply religious but one of the essentials among basic human needs. The purpose of this study was to examine the relationship between spiritual wellbeing and job satisfaction for nurses. The subjects consisted of 306 nurses who were employed in Wonju Christian Hospital. A positive relationship between spiritual wellbeing and job satisfaction was found. (r=.48, p<.001) Both spiritual wellbeing and job satisfaction were affected by the length of experience and by marital status and religion. The degree of satisfaction which was measured by one overall question and spiritual wellbeing were found to explain 35.63% of the total job satisfaction variance in regression analysis. From above the results, spiritual wellbeing can be considered as one of the important factors to improve job satisfaction for nurses. In order to improve job satisfaction, administrators must pay attention to the assessment of spiritual wellbeing for nurses who are employed in the hospital and develope programs to raise the level of spiritual wellness.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.991-1000
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• 2015

This paper is studying for New Online Learning Model on Smart digital era. It can expect the result of learning degree on Online Learning Class. Using 7-factors of Online Class's operating policy, make the expectation model by 'decision tree' method. And through applying another class, we can getting a generality. Finally, Over the traditional Online Class model, we can take the real-time status of Online class learning degree. It is useful both students and teacher. It is the one of 'Smart learning Model'.

• Journal of Korean Academy of Nursing
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• v.30 no.3
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• pp.731-740
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• 2000

A study was done to identify the differences of women's perception of fatigue according to the period of pregnancy. Questionnaires were collected from 510 normal pregnant women in 3 University Hospitals in Korea from April to November of 1999. The questionnaires used to measure pregnant women's fatigue were the "Subjective Symptoms of Fatigue Test" designed by the Research Committee of Industrial Fatigue in Hygienic Association of Japanese Industry. The collected data was analyzed by SPSS-Win. The results revealed that there was a significant difference according to the periods of pregnancy: The degree of fatigue was the highest in the first trimester and then third and second trimester in decreasing order (F=89.53, p=0.000). The degree of fatigue was also compared with the respect to the general characteristics of women: There were statistically significant differences according to number of pregnancy (t=6.41, p=0.000), expectation of pregnancy (t=-291, p=0.004) and weight change (F=8.07, p=0.000). Therefore, variable nursing intervention should be provided to alleviate the fatigue according to the each trimester of pregnant period. Especially the nursing intervention program to alleviate the physical fatigue in the first trimester is necessary.

• Journal of Preventive Medicine and Public Health
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• v.24 no.1 s.33
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• pp.16-28
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• 1991

Service diversification is recognized as an important strategy against turbulent environmental change. This study is designed to find out the trend of service diversification in Korean health care organizations and also to identify factors associated with the degree of service diversification. Data were collected from 69 hospitals out of 71 hospitals with over 300 beds. Important findings are summarized below. 1. Types of diversification are closely related to hospital size. Large hospitals have a tendency to provide sophisticated services requiring specialized skills and equipment, while small hospital have concentrated their efforts on health screening programs. 2. The more competitive and bigger hospitals are, the greater number of services that provide. Also, hospitals operating rational management information systems provide more services. Contrary to the expectation hospitals with a low performance during last 3 years showed more service diversification. 3. A trend of more diversification was observed in hospitals whose chief executive officer used a prospector strategy. 4. A multiple regression analysis revealed that bed size, competitive environment, degree of rational management, and the growth pattern were significantly associated with the service diversification.

• Management & Information Systems Review
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• v.8
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• pp.147-166
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• 2002

This study investigated four universities in Busan and compared each other about the dimensions of service qality and relevant concepts. For empirical study, 288 respondents re sampled and six hypotheses are analyzed by using regression analysis and ANOVA. A survey was conducted with four university's students to see if there were significant differences in their perception(expectation, performance, perceived service quality, customer satisfaction, intention of repurchase) of a university administration service quality. The principal findings of this study are as follows: (1) A comparison of universities in terms of their expectations about university administration service revealed no differences, but performance revealed differences in specialization and reliability. (2) All of service dimensions, tangibles, reliability and specialization had significant impact on overall service quality. Specialization had the most significant impact on overall service Quality in A and D university, but tangibles had the most significant impact in B university. (3) Overall service Quality has a significant positive effect on customer satisfaction, but the degree of effect is different from each other. (4) Customer satisfaction has a significant positive effect on intention of repurchase, but the degree of effect is different from each other. In conclusion this study, however has a limitation about questionnaire, offers some strategic directions for developing the specific marketing strategies of university.

• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.293-299
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• 2020

This study is intend to define learning driving force for learner-centered education and to derive it's components(IDEA : degree of Interest, Dynamics of learning process, degree of self-Effectiveness, expectation level of Academic achievement). To validate the concept of driving force, we analyzed the instructional design techniques, operating procedures, result reports, professor's comments of flipped learning courses which were conducted systematically in K-university during last 4years. As a result, I suggest the directives and guidances required for effective flipped learning based on driving force.

• Journal of Korean Academy of Nursing
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• v.33 no.8
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• pp.1135-1144
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• 2003

Purpose. This study was conducted to understand the degree of internet addiction tendency and to find out the factors influencing this addiction tendency among middle school students in Gyeong-buk area. Methods. A total of 450 middle school students in the Daegu and Gyeong-buk area were surveyed in this study. Data collection was conducted through the use of questionnaires. Results. Internet addiction among middle school students was relatively low (Average user). In the overall ratio distribution, however, students who were classified as either addicted or at risk of addiction accounted for a high percentage, 27%. A positive correlation was found between Internet addiction and Internet expectation, depression and parent control over Internet use. A negative correlation was found between Internet addiction and interpersonal relationship, parent support and self-control. Multiple regression analysis revealed that the most powerful predictor of Internet addiction tendency was depression. Conclusion. Through the above results, it would be necessary to develop an Internet addiction prevention program for adolescents taking into account for the psychological factors such as depression and Internet use habits. In the future study, the need assessment will be useful for developing this prevention program.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.5
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• pp.21-28
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• 2006

Vibration of a non-linear system with multiple degrees of freedom under random parametric excitations was evaluated by probabilistic method. The non-linear characteristic terms of system structure were quasi-linearized and excitation terms were remained as they were. An analytical method where the expectation values of square mean of error was minimized was used. The numerical results were compared with those obtained by Monte Carlo simulation. A linear congruential generator and Box-Muller method were used in Monte Carlo simulation. The comparison showed the results by probabilistic method agreed well with those by Monte Carlo simulation.