• Asia pacific journal of information systems
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• 제31권3호
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• pp.392-414
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• 2021

Social networking services (SNS) is an indispensable method in order to obtain information of the Internet participants. The study identified three variables of social media communication, sharing culture, and online trust in terms of social capital theory (SCT) and reviewed intention& behavior variables in terms of theory of planned behavior (TPB). The data were collected from 330 samples of SNS user, and were involved, and the research model uses AMOS to make confirmatory factor analysis. The findings confirmed our hypothesis that social media communication, sharing culture, and online trust affect individuals' behaviors to sharing information. This study emphasizes that not only social media communication but also sharing culture to SNS can stimulate information sharing. while previous research has predominately focused on personal cognition or social network, the study examines the integrated influence of communication, culture and trust on information sharing in SNS. In sum, by explicating the unique role of social capital, this paper aims at contributing to the continued development and success of SNS in general.

• Journal of Information Technology Applications and Management
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• 제26권6호
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• pp.29-46
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• 2019

This study analyzed the factors influencing the technology acceptance of the general public in the drones and ARs, one of the key technologies of the industry 4.0. The theoretical basis was the extended unified theory of acceptance and use of technology model(UTAUT2), which uses performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation as factors common to both services. The price value factor was excluded considering that most ARs were free, and the perceived risk factors, including privacy, which were not in UTAUT2, were included because they are important factors for ICT technology acceptance. The hypothesis was tested by structure equation model. Social influence and hedonic motivation had a positive(+) effect on intention to use technology. On the other hand, in the case of effort expectancy, neither the AR nor the drone had a significant influence on intention to use technology. Furthermore, performance expectancy had a positive(+) effect on intention to use in AR, but no significant influence was found out in drones. On the contrary, in the case of the facilitating conditions, the influence of the drones was positive (+), but the relation of AR was not investigated. The perceived risk was tested for the negative (-) influence of use intention of AR, but no significant relationship was found out for the drones. Among the significant influencing factors, hedonic motivation was the most powerful factor in AR and drones. Theoretical and practical implications are presented based on these results.

• 임상간호연구
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• 제21권1호
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• pp.116-126
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• 2015

Purpose: The purpose of this study was to examine the relationship between social support (family, healthcare provider, friends/peer), treatment belief, hope, and health status in patients on hemodialysis, and to identify direct and indirect effects of the variables on patients' health status. Methods: The self-regulation model was used to establish a path model. Data were collected from 240 patients. Multidimensional Scale of Perceived Social Support, Revised Illness Perception Questionnaire, Herth Hope Index, and Medical Outcomes Study Short Form-12 were used. Data were analyzed using the SPSS and AMOS programs. Results: The model was supported by fit statistics ($x^2=3.33$, p=.343, GFI .995, RMSEA .021, AGFI .968, NFI .986, CFI .999, TLI .993). Family and friends/peer support showed a significant direct influence on hope, while healthcare provider support directly influenced treatment belief. Social support, treatment belief, and hope directly and indirectly influenced health status, explaining 28.7% of the variance. Conclusion: These results show mechanisms underlying connections between social support and health status by demonstrating impact of social support and showing treatment belief and hope as mediators between social context and outcomes. To promote health of patients on hemodialysis, it is necessary for patient, family, healthcare professional, and friends to collaborate.

• 컴퓨터교육학회논문지
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• 제16권1호
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• pp.63-71
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• 2013

본 연구는 디지털 콘텐츠 저작권 침해가 가장 빈번히 일어나는 대학 교육 현장에서의 침해행위에 영향을 미치는 다양한 요인의 분석에 주된 목적이 있다. 이를 위해 합리적 행동이론에 이론적 기반을 두고, 대학의 학부 및 대학원 재학생의 저작권 침해의도와 태도, 사회적 영향, 저작권 침해 적발시 예상되는 처벌수준, 재미, 콘텐츠 접근의 용이성, 저작권 관련 지식수준, 촉진조건 등의 요인을 도입하고 설문조사를 통해 모형의 타당성을 검증하였다. 335개 설문자료를 이용하여 가설 검증을 시도한 결과, 태도와 사회적 영향은 모두 침해의도에 유의한 영향을 미치며, 사회적 영향, 재미성, 콘텐츠 접근의 용이성 등이 태도의 선행요인으로 유의한 것으로 분석되었다. 다만 지식수준이 태도에 미치는 영향은 미미한 것으로 나타났다. 사회적 영향의 선행요인도 접근 용이성, 처벌의 심각성 그리고 촉진조건 순으로 모두 유의한 영향을 미치는 것으로 분석되었다. 그 외 본 연구결과의 학술적, 정책적 시사점도 함께 제시하였다.

• 농촌지도와개발
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• 제24권4호
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• pp.223-235
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• 2017

This study aims to identify the factors affecting the depression of elderly women in rural areas, by focusing on social network and sense of community. The questionnaires were conducted from July to September, 2016 by face-to-face interviews with the elderly women using the senior citizen center in rural areas. As a result, 302 questionnaires were collected, and of which 292 cases were utilized for the final analysis. The analysis revealed that socio-demographic characteristics, social network, and community consciousness had a significant effect on depression. The main results are summarized as follows. First, in first model, age, education, subjective health status, and subjective economic status were found to affect depression. Second, in second model, by adding the social network, the explanation power increased, and the social network of friends/neighbors were proven to be an influence on depression. Third, in third model, explanation power increased when sense of community was added, and it was proven that sense of community had an effect on depression. Finally, when the socio-demographic characteristics and the social network were controlled, the sense of community had more influence on the depression than the social network.

• Asia pacific journal of information systems
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• 제16권4호
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• pp.103-119
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• 2006

One of the most important reasons for using online game is intrinsic motivation which relates the drive to perform a behavior for perceptions of pleasure and satisfaction from the behavior itself. Therefore, most studies for using online game have been based on theories for intrinsic motivation such as flow. However, such theories have some limitations for explaining social aspects of online games such as Massively Multiplayer Online Role Game (MMORPG), which provides a society for game players by using a virtual space for playing games so called 'persistent world'. Adaptive structuration theory (AST) is one of trying to capture the change of using IT due to social interactions between users and system. In order to explain online game players' behavior considering social interaction, we suggest a research model based on AST. Our model aims to investigate the relationship between appropriation which is determined by faithfulness of appropriation (FOA) and consensus on appropriation (COA) and performance which is represented by the relationship among perceived winning, flow, and intention of reuse. An empirical test of our model for 125 MMORPG users which is analyzed by Partial Least Square method shows very satisfactory and interesting results. While hypotheses suggested in our model are supported, the influence of COA on game performance is shown to be stronger than that of FOA.

• 한국의류학회지
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• 제44권3호
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• pp.499-515
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• 2020

This study develops and empirically tests a comprehensive model of consumers' brand page experiences that illuminates dynamics among perceived values (practical value, stimulation, enjoyment, and social identification), brand page engagement dimensions (cognitive engagement, affective engagement, and behavioral engagement) and brand loyalty. An online survey was employed for data collection. We collected 358 usable responses for data analysis. Structural equation modeling results show that three dimensions of perceived values (practical value, perceived enjoyment, and social identification) positively affect brand engagement dimensions, while perceived stimulation affects affective engagement only. As for the roles of brand page engagement, affective and behavioral engagement positively influence brand loyalty. This study demonstrates how consumers' perceived values of brand page experience influence each dimension of brand page engagement and how each dimension has a different impact on brand loyalty. The results of this study provide substantive contributions to the consumers' brand page experience and engagement literature and brand page management on social media for developing brand loyalty.

• 디지털산업정보학회논문지
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• 제10권3호
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• pp.285-296
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• 2014

Recently, the use of Smartphones has been widespread and changed our lives positively. Smartphones which are called as PC in the hand and spread general people rapidly are becoming a medium to use generally various functions such as internet, work, multimedia, etc. beyond the simple function of telephone communication in the past. However, the excessive use of Smartphones has also produced many side effects. The purpose of this study is to examine the Smartphone Addiction on Daily Life Impact. This model tests various theoretical research hypotheses relating to Self-Esteem, Enjoyment, Flow, Social Impact, Smartphone Addiction and Daily life impact. The proposed model is analyzed to target 299 University Students and Smart Partial Least Square(PLS) 2.0 have been utilized for deriving the study results. The Result of Hypothesis testing are as follows. First, Self-Esteem negatively influence Smartphone Addiction. Second, Enjoyment, Flow and Social Impact positively influence Smartphone Addiction. Third, Smartphone Addiction positively influence Daily Life impact. This Research makes a basic research for smart phone addiction papers that will be investigated a lot in the future.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.383-393
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• 2020

The purpose of this research is to identify factors affecting consumer's brand preference toward environment-friendly products like electric vehicles in Bangkok, Thailand. The researcher conducted the study based on a quantitative approach and adapted a nonprobability sampling as a convenience sampling method. The data were collected from 400 respondents living in Bangkok, who are 18 years old and above, with significant knowledge of electric vehicles. This study adapted the Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) to examine the model accuracy, reliability and verification influence of various variables. The results revealed that social influence has significant effect on environment concern as well as a positive effect on attitude. The initial significance of environment concern leads to a positive effect on fuel efficiency, followed by brand preference. Lastly, attitude has a significant effect on brand preference as attitude of consumers toward environment-friendly products affects the encouragement of brand preference, which largely depends on individual opinion. From an environmental concern, the researchers identified fuel efficiency and attitude having a positive and significant effect on brand preference toward environment-friendly products for electric vehicles. The authors also found that environmental concern and social influences on green purchasing behavior were significantly interrelated.

• Asia pacific journal of information systems
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• 제32권4호
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• pp.857-889
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• 2022

Home theft and burglary are prevalent in Dhaka city. Internet of things (IoT), in contrast, is commonly recognized as among the most advanced home security systems. However, the factors that attract young people to use IoT for household security have yet to be examined. Consequently, the purpose of this article is to validate the attitude-social influence-self-efficacy (ASE) model with personal innovativeness and perceived trust. We collected data from Dhaka citizens aged 15 to 24 using a purposive sample technique and 370 valid responses were chosen for the study. According to the analysis, all of our proposed hypotheses were found significant with a 73.6% variance. Furthermore, the effects of attitude and social influence were shown to be the highest and lowest, respectively, and trust and innovativeness were both nearly strong main predictors of ASE. Significantly, since this is one of the few studies in the technology adoption domain using this model, a solid foundation for IoT adoption for security purposes is established.