• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.187-217
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• 2021

This study investigated the perceptions of librarians about Podcast and YouTube services in libraries. The study was designed by applying the Extended Technology Acceptance Model. Librarian's personal, organizational, and social awareness of library Podcast or YouTube services and the degree of understanding of users and their needs on services were mediated by perceived usefulness or ease of services= and influenced to having intentions and providing the services. First, we investigated the types of Podcast and YouTueb services provided by 39 libraries in Korea. Also, we collected data using an online survey method from 181 librarians and conducted hierarchical multiple regression analysis. Findings showed that libraries are using Podcast and YouTube appropriately considering features and functions of media, mainly for library event information/promotion, library programs, book recommendations, and author (librarian) lectures or interviews. Organizational or social awareness of librarians, i.e., library educational support, human resource supports, librarian recognition, job-related features, and understanding of user perceptions and needs, influenced the intention to provide library services. Also, there was a difference in perceived usefulness and ease of services between librarians who provided Podcast and YouTube services and those who did not. We expect that findings could be used as references to understand and support various aspects of librarians in charge of developing and providing Podcast or YouTube services in libraries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.56-65
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• 2019

The purpose of this study was to identify factors associated with character of nursing students using ecological theory. A descriptive cross-sectional study was conducted with 296 nursing students. Collected data from self report questionnaires were analyzed using descriptive statistics, t-test, ANOVA and multiple regression with SPSS WIN 21.0. The Results of this study were as follows. A total of 2 models were examined according to individual, microsystem in ecological system theory. In the first model including individual factors, positive emotion, communication ability were significant factors explain character of nursing students. In the second model adding micro system factors family strength and major satisfaction found to be significant factors. The prediction factors of nursing student' character were communication ability (${\beta}=.431$, p<.001), major satisfaction (${\beta}=.310$, p<.001) and family strength (${\beta}=.176$, p<.001). The explanation power was 55.6%. These results showed that factors affecting character of nursing students are communication ability, major satisfaction, and family strength. Therefore, we suggest to develop various character education programs considering these factors.

• Korean Journal of Family Social Work
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• no.58
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• pp.97-122
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• 2017

The purpose of this study was to identify the longitudinal patterns of marital satisfaction, characteristics of each pattern, influencing factors and the difference on self-esteem, among married couples who experienced unemployment. To achieve this, the 443 married couples, who were initially employed in the first year but unemployed in next 5 years were extracted from the $2^{nd}$ to $11^{st}$ waves of Korean Welfare Panel Study(KoWePS) data. The results showed that there are five patterns on marital satisfactions of couple who experienced unemployment: maintaining low-level, mid-level, continuous declining, rebound after sharp declining, and maintaining high-level. In addition to this, the groups that maintain the marital satisfaction showed higher self-esteem than the groups that showed positive or negative change in marital relationship. Based on these results, this study suggested political and practical intervention to maintain the satisfaction of marital relationship and their self-esteem in a high level.

• Korean small business review
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• v.43 no.1
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• pp.85-105
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• 2021

This study verified how R&D investment affects the management performance of SMEs, whether technology innovation mediates this relationship, and whether marketing competency moderates the relationship between technology innovation and management performance. A longitudinal analysis was conducted using data from the corporate panel survey performed by Daegu Technopark every year since 2013. Data from 349 companies in the Daegu-Gyeongbuk region were mainly used, and the size of 30 to 50 employees in the manufacturing industry was a major analysis target company. The results are as below. First, The results showed that R&D investment had a positive effect on management as well as technology innovation, but technology innovation did not affect management performance. Also, technological innovation did not mediate the relationship between R&D investment and management performance. This shows that in the case of small SMEs, even if technological innovation occurs through R&D investment, the technological innovation does not lead to management performance. Also, the relationship between technological innovation and management performance was not changed by marketing capabilities. This shows that technological innovation in small SMEs is not easy to lead to business performance.

• Journal of Korea Entertainment Industry Association
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• v.15 no.6
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• pp.179-191
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• 2021

Social anxiety continues due to the emergence and spread of covid-19 infections. In this situation, false information related to the covid-19 infection is distributed through SNS in the form of fake news, which is a stumbling block to overcoming the national crisis. This study tried to present a theoretical basis for the establishment of policies for the regulation and eradication of fake news circulated through SNS by examining the effect of social anxiety on the fake news acceptance attitude by focusing on the use degree of SNS. For this study, a survey of 380 university students in the Seoul metropolitan area was conducted, and 336 data collected among them were analyzed as SPSS 25.0 and AMOS 23.0. According to the analysis results, social anxiety has a positive effect on the fake news acceptance attitude and the use degree of SNS, also the use degree of SNS has a positive effect on the fake news acceptance attitude. In addition, social anxiety has been confirmed to have a positive effect on fake news acceptance attitude through the use degree of SNS. These results empirically confirm the relationship between social anxiety, fake news acceptance attitude, and the use degree of SNS.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.325-338
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• 2022

This study was conducted to explore the acceptance behavior of undergraduate students toward telemedicine, which is temporarily allowed in the COVID-19. We applied social cognitive theory and technology acceptance model in order to reflect the convergence characteristics between medical service and digital technology of telemedicine. Based on these theoretical backgrounds, we investigated perception toward telemedicine and determinants of intention to accept telemedicine. To examine the research model and hypothesis, an online survey was conducted for college students who have not used telemedicine from September 8 to 10, 2021. A total of 184 data were collected, and multiple regression analysis was conducted using the SPSS 28.0 program. The results showed that health technology self-efficacy, usefulness and convenience benefits, social norm, and trust in telemedicine providers had positive effects on intention to accept telemedicine. This study is meaningful in that it selected undergraduate students, who are digital natives, as new targets for telemedicine, and presented the basic direction of strategies to target them.

• Journal of the Korean Society for information Management
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• v.39 no.4
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• pp.215-239
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• 2022

Human networks can be an important means of solving various information problems including tacit knowledge, as an essential channel of knowledge sharing. Particularly, in the case of a teacher librarian(or librarian) of a school library composed of one person in the organization, the human networks for work can be more effective with people outside the organization who are in charge of the same duties than with members inside the organization. Thus, this study aims at exploring the characteristics of the personal networks related to the work of teacher librarians and understanding the effect of these network characteristics on job satisfaction and role ambiguity resolution. A survey was conducted on one of the teacher librarian associations in Seoul, and the collected data were analyzed using social network analysis(SNA) method. As a result, it was found that personal networking of teacher librarians is active in experienced teacher librarians, while those with shorter career have fewer channels of help-seeking. Also, the characteristics of personal networking do not affect job satisfaction and the resolution of role ambiguity. Based on these results, this study proposes the expansion of collaborating and networking among teacher librarians to solve information problems in a single-person workplace.

• Information Systems Review
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• v.24 no.1
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• pp.59-87
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• 2022

Since over-the-top (OTT) service has emerged as a new way of consuming video contents, OTT markets grow exponentially and the competition among the OTT services becomes intense. Only limited systematic research effort has been paid to understand why users subscribe such OTT services among other services. Therefore, we used developmental sequential mixed methods approach to find out the quality factors and their effect on post-subscription experiences and continuance intention. In the qualitative study, we derived six factors which a user considers important to continue the subscription. Based on the explored factors, we hypothesized a research model with modified three qualities from ISSM. The proposed research model was validated through quantitative research, a survey of 226 OTT service users in South Korea, using structural equation modeling. The results indicated that content quality is the key factor affecting both perceived enjoyment and satisfaction whereas system quality affects satisfaction, and service quality only affects enjoyment. Enjoyment affects satisfaction which sequentially affects continuance usage intention. This study contributes to research by modifying ISSM through mixed methods. It also provides OTT service providers with insight to enhance users' post experience and continuance intention to use the service through qualities derived from the interview.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.237-258
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• 2022

As the global market environment changes, the domestic ICT industry has a growing influence on the world economy. This industry is regarded as an important driving force in the national economy from a technological and social point of view. In particular, small and medium-sized enterprises (SMEs) in the ICT industry are regarded as essential actors of domestic economic development in terms of company diversity, technology development and job creation. However, since it is small compared to large-sized enterprises, it is difficult for SMEs to survive with a differentiated strategy in an incomplete and rapidly changing environment. Therefore, SMEs must make a lot of efforts to improve their own capabilities, and the government needs to provide the desirable help suitable for corporate internal resources so that they can continue to be competitive. This study classifies the types of ICT SMEs participating in government support programs, and analyzes the relationship between resources and performance creation of each type. The data from the "ICT Small and Medium Enterprises Survey" conducted annually by the Ministry of Science and ICT was used. In the first stage, ICT SMEs were clustered based on common factors according to their experiences with government support programs. Three clusters were meaningfully classified, and each cluster was named "active participation type," "initial support type," and "soloist type." As a second step, this study compared the characteristics of each cluster through profiling analysis for each cluster. The third step carried out in this study was to find out the mechanism of R&D performance creation for each cluster through regression analysis. Different factors affected performance creation for each cluster, and the magnitude of the influence was also different. Specifically, for "active participation type", "current manpower", "technology competitiveness", and "R&D investment in the previous year" were found to be important factors in creating R&D performance. "Initial support type" was identified as "whether or not a dedicated R&D organization exists", "R&D investment amount in the previous year", "Ratio of sales to large companies", and "Ratio of vendors supplied to large companies" contributed to the performance. Lastly, in the case of "soloist type", "current workforce" and "future recruitment plan", "technological competitiveness", "R&D investment", "large company sales ratio", and "overseas sales ratio" showed a significant relationship with the performance. This study has practical implications of showing what strategy should be established when supporting SMEs in the future according to the government's participation in the startup program and providing a guide on what kind of support should be provided.

• Journal of the Korean Society of International Agriculture
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• v.31 no.4
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• pp.378-383
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• 2019

To determine whether FT-IR spectral analysis based on multivariate analysis for whole cell extracts can be used to discriminate papaya at metabolic level. FT-IR spectral data from leaves were analyzed by principal component analysis (PCA), partial least square discriminant analysis (PLS-DA) and hierarchical clustering analysis (HCA). FT-IR spectra confirmed typical spectral differences between the frequency regions of 1,700-1,500, 1,500-1,300 and 1,100-950 cm^-1, respectively. These spectral regions were reflecting the quantitative and qualitative variations of amide I, II from amino acids and proteins (1,700-1,500 cm^-1), phosphodiester groups from nucleic acid and phospholipid (1,500-1,300 cm^-1) and carbohydrate compounds (1,100-950 cm^-1). The result of PCA analysis showed that papaya leaves could be separated into clusters depending on different growth temperature. In this case, showed discrimination confirmed according to metabolite content of growth condition from papaya. And PLS-DA analysis also showed more clear discrimination pattern than PCA result. Furthermore, these metabolic discrimination systems could be applied for rapid selection and classification of useful papaya cultivars.