• Title/Summary/Keyword: SNS user satisfaction

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Service Plan of National R&D Report System Using KANO Model (KANO모형을 이용한 국가R&D보고서 시스템의 서비스 방안)

  • Park, Man-Hee
    • The Journal of the Korea Contents Association
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    • v.14 no.1
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    • pp.364-373
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    • 2014
  • The relationship between a service provided via the information system and user satisfaction has been thought of as an important factor for the development of a new service for the information system. In this study, the twelve new key services that are applicable to national R&D report system were derived by web environment changes in step with IT technology developments in order to support the new service for the user. The twelve new key services are as follows; semantic search service for national R&D report, associated report service, RSS service, mesh-up service, topic-map service, open API service, personalized service, collective intelligence service, SNS service, unstructured data service, detailed search service, mailing service. To assess the quality attribute of the twelve new key services in the national R&D report system, a survey was performed. In conclusion, a stepwise service plan for the national R&D report system was proposed which would use the satisfaction coefficient and the results of the service classification. The following step-by-step service should be developed by in this way. The unstructured data service, personalized service, associated report service, topic-map service, open API service, and the collective intelligence service are needed to develop the first step and RSS service, mesh-up service, semantic search service for the national R&D report, mailing service, detailed search service, and SNS service are needed to develop the second step.

The Effect of Mobile Network Social Gamers' Altruism on Continuous Usage Intention: The Mediating Effect of Social Relational Capital (모바일 소셜 네트워크 게임 사용자의 이타주의적 행위가 게임 지속성에 미치는 영향: 사회 관계적 자본의 매개효과를 중심으로)

  • Chae, Seong Wook;Kang, Youn Jung
    • The Journal of Information Systems
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    • v.25 no.1
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    • pp.201-223
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    • 2016
  • Purpose As social network games (SNG) enjoy rapid growth in the market and become a major sector of the gaming industry, it is of great interest to examine the how users continuously use SNG. In SNG, the users' social interaction is the most prominent advantage of the social network, as well as the entertainment afforded by the game. This study explores the relationship between altruism, which is considered the most prominent characteristic of SNS, and the continuance usage intention, as well as the moderating role of social capital. Based on social capital theory and organizational citizenship behavior, this research model considers social bonding and bridging that are divided by social capital. Design/methodology/approach An AMOS analysis based on survey data from 223 SNG users indicated that SNG with greater altruism enhance social capital (social bonding, social bridging), which is related to the user's satisfaction and the continuance intention of SNG. Findings Social bonding is positively related to the user's satisfaction with SNG. In other words, social bridging positively affects the continuous usage intention of SNG. These findings help managers in developing and implementing altruistic relationships and social capital for continuous usage of SNG.

Analysis of Behavioral Characteristics by Park Types Displayed in 3rd Generation SNS (제3세대 SNS에 표출된 공원 유형별 이용 특성 분석)

  • Kim, Ji-Eun;Park, Chan;Kim, Ah-Yeon;Kim, Ho Gul
    • Journal of the Korean Institute of Landscape Architecture
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    • v.47 no.2
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    • pp.49-58
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    • 2019
  • There have been studies on the satisfaction, preference, and post occupancy evaluation of urban parks in order to reflect users' preferences and activities, suggesting directions for future park planning and management. Despite using questionnaires that are proven to be affective to get users' opinions directly, there haven been limitations in understanding the latest changes in park use through questionnaires. This study seeks to address the possibility of utilizing the thirdgeneration SNS data, Instagram and Google, to compare behavior patterns and trends in park activities. Instagram keywords and photos representing user's feelings with a specific park name were collected. We also examined reviews, peak time, and popular time zones regarding selected parks through Google. This study tries to analyze users' behaviors, emerging activities, and satisfaction using SNS data. The findings are as follows. People using park near residential areas tend to enjoy programs being operated in indoor facilities and to like to use picnic places. In an adjacent park of commercial areas, eating in the park and extended areas beyond the park boundaries is found to be one of the popular park activities. Programs using open spaces and indoor facilities were active as well. Han River Park as a detached park type offers a popular venue for excercises and scenery appreciation. We also identified companionship characteristics of different park types from texts and photos, and extracted keywords of feelings and reviews about parks posted in $3^{rd}$ generation SNS. SNS data can provide basis to grasp behavioral patterns and satisfaction factors, and changes of park activities in real time. SNS data also can be used to set future directions in park planning and management in accordance with new technologies and policies.

Social Commerce Food Coupon Recommending System Based On Context Information Using Bayesian Network (베이지안 네트워크를 이용한 상황정보에 기반을 둔 소셜커머스 음식 쿠폰 추천시스템)

  • Jeong, Hyeon-Ju;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.11 no.3
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    • pp.389-395
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    • 2013
  • More sales of food and beverage coupons have been made using SNS on social commerce recently. If one buys coupons on social commerce, he/she can enjoy products at a lower price; however, there are drawbacks that one must consider such as location, service hours, and discount rate. Thus, this paper suggests a system that recommends food and beverage coupons on social commerce for users that considers a user's personal context of location, time, and purchase history. In order to reflect a user's context awareness and continuous preference, this paper suggests a method based on the Bayesian network. In order to reflect personalized weighting on the standard of coupon selection to match a user's preference, a measurement and classification of weighting preferences is performed on the basis of AHP. 20 experiments in one month involving 12 students were carried out to verify the effectiveness of the system, resulting in an 80% satisfaction level.

A Study on Establishment of Mid- to Long-Term Comprehensive Development Plan for the Bank of Korea Library (시대적 변화에 따른 경제·금융전문도서관 발전 방향 모색에 관한 연구 - 한국은행 도서관을 중심으로 -)

  • Noh, Younghee;Ko, Jae-Min;Chang, Inho;Ro, Ji-Yoon
    • Journal of Korean Library and Information Science Society
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    • v.52 no.2
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    • pp.65-84
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    • 2021
  • This study aimed to analyze the overall operation status of the Bank of Korea library representing the economic library in Korea, investigate user satisfaction and demand, and to propose a direction for the development of the economic library in the future. To this end, a case study was conducted on changes in the external environment of major libraries at home and abroad, and a user survey was conducted. As a result, the future tasks include introducing smart systems, robotics some library services, non-face-to-face service response spaces that reflect the times, introducing big data analysis services, strengthening user-tailored systems, and activating SNS communication. It proposed developing specialized libraries, online reference and research support services, and providing original DBs for publications to strengthen expertise, maintaining and expanding cloud services, maintaining and expanding cooperative projects, and collecting national knowledge and information.

The impacts on school life of a occupational therapy student use of smartphone

  • Lee, Sun-Myung
    • Journal of Korean Clinical Health Science
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    • v.7 no.2
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    • pp.1289-1297
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    • 2019
  • Purpose: The purpose of this study was to investigate occupational therapy at M college in Changwon and the impact of smart phone use on the school life of college students and to help them find ways to further develop in the future. Methods; Data collection was conducted using questionnaires, and the questionnaires consisted of 152 total questions with 15 interpersonal questions, 23 problem solving skills, 43 self-efficacy, 16 class participation scale, and 55 self-directed learning scale. It was conducted to first and second graders of M college and conducted a survey through the corresponding academic year from March 26, 2019 to March 29, 2019 to retrieve 120 questionnaires and use them for analysis. The collected data were analyzed using SPSS. Statistic 20.0. Results: Studies show that "school life satisfaction" is usually the highest at 53 percent. The "smartphone user motivation" was the highest with 50.8 percent, while the "most frequently used feature on smartphones" was the highest with 57.5 percent on SNS. Satisfaction after using a smartphone was the highest with 49.2 percent, while 41.7 percent said it would be easier to acquire and utilize information in the areas of satisfaction. Conclusion: Smartphone addiction, interpersonal relationships, problem-solving skills, self-efficacy, participation in classes, and self-control learning items are not only affected by one part, but also by the other.

Relationship between Result of Sentiment Analysis and User Satisfaction -The case of Korean Meteorological Administration- (감성분석 결과와 사용자 만족도와의 관계 -기상청 사례를 중심으로-)

  • Kim, In-Gyum;Kim, Hye-Min;Lim, Byunghwan;Lee, Ki-Kwang
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.393-402
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    • 2016
  • To compensate for limited the satisfaction survey currently conducted by Korea Metrological Administration (KMA), a sentiment analysis via a social networking service (SNS) can be utilized. From 2011 to 2014, with the sentiment analysis, Twitter who had commented 'KMA' had collected, then, using $Na{\ddot{i}}ve$ Bayes classification, we were classified into three sentiments: positive, negative, and neutral sentiments. An additional dictionary was made with morphemes appeared only in the positive, negative, and neutral sentiments of basic $Na{\ddot{i}}ve$ Bayes classification, thus the accuracy of sentiment analysis was improved. As a result, when sentiments were classified with a basic $Na{\ddot{i}}ve$ Bayes classification, the training data were reproduced about 75% accuracy rate. Whereas, when classifying with the additional dictionary, it showed 97% accuracy rate. When using the additional dictionary, sentiments of verification data was classified with about 75% accuracy rate. Lower classification accuracy rate would be improved by not only a qualified dictionary that has increased amount of training data, including diverse keywords related to weather, but continuous update of the dictionary. Meanwhile, contrary to the sentiment analysis based on dictionary definition of individual vocabulary, if sentiments are classified into meaning of sentence, increased rate of negative sentiment and change in satisfaction could be explained. Therefore, the sentiment analysis via SNS would be considered as useful tool for complementing surveys in the future.

The Relation of Addiction and Sustainable Use of Social Media Service (소셜미디어 중독과 지속사용 의도에 관한 연구)

  • Lee, Sang-Ho
    • Journal of Digital Convergence
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    • v.12 no.1
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    • pp.273-280
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    • 2014
  • This study deals with the digital policy proposal through the study about the relation of the sustainable use and the addiction to social media such as facebook. Researcher tried to figure out the antecedents and consequence factors about the service addiction recognized by the social media users and to obtain the measures for the sustainable use of service and the implications for the prevention of addiction. Research results showed that 1) the individual innovation had an effect on the service satisfaction, the addiction, and the sustainable use, 2) the service satisfaction influenced on the addiction and the sustainable use, 3) the perceived service addiction had a reverse effect on the sustainable use. This is described that user's addiction recognition is the obstacle of sustainable growth in service. The proposed policy of this research is summarized as the following two. 1) When the users act the addictive using behavior, service provider has to pay attention to user's withdrawal from the service because of their addiction. 2) The government should offer healing facilities, service etc. for the addicted users and the prevention of the service addiction when they recognized their discomfort.

Influence of Social Presence on Online Community Users' Continuance Intention (사회적 실재감이 온라인 커뮤니티 지속사용의도에 미치는 영향)

  • Kim, Kwang-Mo;Choi, Hee-Won;Kwon, Song-Il
    • The Journal of the Korea Contents Association
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    • v.14 no.2
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    • pp.131-145
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    • 2014
  • This study is an empirical analysis on the relationship between social presence and online community users' continuance intention. Based on Bhattacherjee(2001)'s expectation-confirmation model (ECM) of IT continuance model, we test the influence of social presence on one's intention to continue using online communities. This study sampled 132 online community users. Research hypotheses are tested using the structural equation modelling(SEM) approach. The results of this study demonstrate that user satisfaction is influenced by perceived usefulness and perceived enjoyment. But, the confirmation of expectation did not affect user satisfaction. And, social presence has direct effects on perceived usefulness and perceived enjoyment. Further, social presence has a positive effect on users' continuance intention through mediating effect of perceived usefulness. This study suggests that perceived usefulness should be taken into account when carrying out the operating strategy of online communities.

An exploration of the factors affecting the social capital building of the youth (청년층의 사회적 자본 형성에 영향을 미치는 요인 탐색)

  • Kim, Young-sik;Shin, Cholkyun;Moon, ChanJu
    • Journal of vocational education research
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    • v.37 no.4
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    • pp.45-66
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    • 2018
  • The purpose of this study is to explore the factors affecting the social capital of youth and to draw implications for the policies related to development of the social capital of them. To this end, we utilized the OLS regression model and the quantile regression model exploiting the 12th year dataset of the Korean Education & Employment Panel(KEEP). First, this study shows that the effect on trust is higher than that of the counterpart when the case is a) unmarried, b) with the high level of education, c) with a large asset, d) with high self-respect and the satisfaction for financial situation, and e) social media user. On the other hand, the higher the monthly average income, the lower the trust level. In addition, when the cases are grouped into 25 quantile, 50 quantile, and 75 quantile according to the level of trust, it is revealed empirically that the factors affecting social capital formation are somewhat different. Second, this study also shows that the effect is higher in a specific condition. The effect is higher compared to the counterpart when the case is a) male, b) with children, c) metropolitan city resident, d) non-employee, e) with a large asset, f) with high level of happiness, g) with high expense of purchasing books, and h) social media user. As a result, it is found that there are no personal characteristics that have statistically significant influence on students belonging to the 25th quantile of social capital. This study suggests that, in order to support the formation of social capital of Korean youths, it is necessary to enhance their psychological satisfaction and to provide cultural support or policies. In addition, it suggests that a tailored social capital accumulation program is needed according to the level of social capital, and the support for this need to be changed according to the amount of social capital of young people.