This study investigated the relationship between privacy policy awareness and willingness to provide personal information. Online privacy policies published on the Internet aim to build the trust of consumers and reduce their concerns about the provision of providing personal information. This study uses FIP(FIP; Fair Information Practices) principles to measure awareness of privacy policy. The result of the survey indicates significant relationships among awareness of privacy policy of e-commerce websites, privacy trust, and privacy risk. Privacy policy aims to improve transparency of collection and use of personal information. A high level of privacy trust is related to a high level of willingness to provide personal information on an e-commerce website. A low level of privacy risk is related to a high level of willingness to provide personal information on an e-commerce website. This study found that disposition to trust moderates the relationship between privacy policy awareness and privacy trust. This study contributes to further research on the relationships among privacy policy awareness, privacy trust, and privacy risk. The result of this study can be used by companies that aim to build privacy trust and reduce privacy risk.
In the recent e-learning environment, avatars are often used to help learners get familiar with the contents, which is ultimately to motivate them to study more. Therefore, it is important to investigate whether avatars have actually the desirable effect on users of e-learning materials. Surprisingly, however, no extensive study has been conducted on this crucial issue Accordingly, main objectives this study are summarized as follows. First, we need to gain better understanding of how much learners' trust towards avatars (termed as "avatar trust") is transferred to learners' trust towards e-learning contents (termed as "contents trust"). Second, we need to investigate how much learners' personal relationships with avatars as well as learning behaviors change depending on avatar types (attractive vs. professional) and contents complexity (easy vs. difficult). As described in the study objectives, in order for us to analyze empirical data more systematically, we classified avatar types into two: "attractive" and "professional;" the contents are categorized as either "easy" or "difficult." Therefore, it is essential for this study to build a prototype e-learning website on which our research purpose can be realized and tested effectively with proper avatar types and e-learning contents. For this purpose, we built a prototype e-learning website, in which avatars are invited from currently working avatar instructors used in real-world e-learning websites, and e-learning contents are adapted from real-world contents about Java programming topic, which have been proved to have shown high quality and reliability. Our research method includes questionnaire survey by inviting a number of valid respondents comprised of office workers who are believed to have high demands for the e-learning contents as well as those who have previous experience with avatar instructors. Respondents were given one of the four e-learning experiment conditions (2 avatar types x 2 contents types) on a random basis. Each experimental e-learning condition is framed to have the same quality but different avatar type and content complexity. Then the respondents are asked to fill out the survey form which has questions about avatar trust, contents trust, personal relationships with avatar, and learning behavior, among others. Regarding the constructs used in research model, we based them rigorously on previous studies. For example, we used six constructs such as behavior to give information (BGI), behavior to obtain information (BOI), need for inclusion wanted, need for control wanted, contents trust, and avatar trust. To measure them, 7-Likert scales were used in the questionnaire. E-learning performance was measured indirectly through two constructs such as BGI and BOI. Six constructs used in the research model were adopted and revised from the FIRO-B model suggested by Schutz. Empirical results are as follows: First, professional avatars are more effective for difficult contents, while attractive avatars were not as effective for easy contents. Second, our study results ascertained that avatar trust transfers to contents trust regardless of avatar types and contents complexity.
Journal of the Korea Institute of Information Security & Cryptology
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v.27
no.3
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pp.673-685
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2017
STI(Social Trust Index) indicates levels of trustworthiness, honesty and reliability among people in a society. Since the STI varies in countries, security control on cyber space should be applied differently according to the STI so that companies can protect their assets efficiently and effectively. We compare STIs between Korea and United States using the Diamond Model and investigate how the STIs affect corporate security controls in those two countries. We finally present a formula using AHP (Analytic Hierarchy Process) to measure levels of corporate security controls in different countries.
The government enacted shutdown system in the fall of 2011. It was to secure a right to sleep for the youth and prevent them from being addicted to game. The opinion on the system was dichotomized: gamers were against it for the reason that shutdown system was not effective while non-gamers like parents thought that it was a measure to prevent game addiction. The trust of the public on the government is influenced by the factors of moral and competence. That is, if the policy chosen by the government is effective, the public come to trust their government more. Focusing on the factors of the government competence, this study examined to know how the effectiveness and efficiency of governmental policies have impact on the public trust on the government. Particularly this study looked carefully into what factors of political effectiveness have impact on the trust by group (group with and against the shutdown system). Through this study some implication could be obtained for the difference in trust between two groups.
Park, Jong-Chul;Mool, Prashant;Na, June-Hee;Lee, Chang-Gon
Journal of Distribution Science
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v.12
no.10
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pp.29-35
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2014
Purpose - This study highlights the inter-dependence between business and society. Various business strategies like Corporate Philanthropy and CSR (Corporate Social Responsibility) are introduced to establish better relationship between business and society. Research Design, Data, and Methodology - This study presents a research model clarifying the role of Creating Shared Value (CSV) and its influence on overall corporate performance. Further, we reveal the mediating role of corporate trust generated by various mechanisms of economic and social values, leading to enhanced corporate performance. Results - The proposed research model addresses five different proposals indicating that, by incorporating CSV approaches, organizations can create both business and social values. These values help positively influence corporate trust, ultimately facilitating improvements in overall corporate performance. Conclusions - CSV is currently in its early stage; it is difficult to gather meaningful data to measure its performance. However, this study seeks to connect CSV with other important factors such as corporate trust. The proposed model can be a starting point for a more empirical and formal conceptualization of CSV along with other important links.
Objectives: The purpose of this research is to measure the level of individual social capital, and to reveal the associations between social capital and self-rated health status and how the administrative section(dong, eup, and myeon) might modify the relationships. Methods: This study used the data from Gyeongsangnam-Do health survey (2008). The study subjects were 6,500 adults randomly sampled from 20 counties. Trained interviewers conducted the interviews in the interviewees' houses using structured questionnaires. The association of social capital with self-rated health was analyzed using hierarchical logistic regression. Results: The proportion of trust and social participation were the highest at eup region and the lowest at myeon, The significant social capital associated with self-rated good health were both social participation and trust in the subgroups of dong. The significant social capital associated with self-rated good health were social participation and trust in the subgroups of eup. The significant social capital associated with self-rated good health was trust in the subgroups of myeon. Conclusions: This study highlights that self-rated good health was associated with social capital measured by social participation and trust, and the direction is different in the administrative section. But, health policy encouraging social capital to improve health should be considered.
Increasingly the information technology (IT) outsourcing phenomenon has been a subject of much academic research. Scholars have argued that knowledge complementarities playa crucial role in forming successful IT outsourcing relationships. However, notwithstanding the fast growth of IT outsourcing, prior studies on IT outsourcing have not included knowledge complementarities in their research design as a determining factor for IT outsourcing effectiveness. Further, the understanding of knowledge complementarities itself remains ambiguous. In this study, the concept of knowledge complementarities is explored in the IT outsourcing context at the firm level. Specifically, it addresses the following questions: what is knowledge complementarities? How does it affect IT outsourcing effectiveness? Is the relationship between knowledge complementarities and IT outsourcing effectiveness influenced by organizational trust between the client and the vendor? Grounded in the relevant theories to knowledge management and IT outsourcing, we develop a research model in which both the main effects of knowledge complementarities and organizational trust and the moderating effect of organizational trust on the relationships between knowledge complementarities and IT outsourcing effectiveness are tested. Within this research model, we develop a second order construct of knowledge complementarities, consisting of complementary business knowledge and complementary IT knowledge as the first order constructs. We have used data from a field study of 103 firms in Korea to test the proposed model. Controlling the effects of conflict resolution efforts, our empirical analysis found significant main effects of knowledge complementarities and organizational trust on IT outsourcing effectiveness. The results suggest that knowledge complementarities between the client and vendor positively contribute to IT outsourcing effectiveness. Specifically, the client needs to have enough IT knowledge to assess the quality of IT outsourcing services provided by the vendor. Meanwhile, the vendor should understand the client's business well enough to provide IT services, Contrary to our expectations, the moderating effect of trust on the relationship between knowledge complementarities and IT outsourcing effectiveness was not supported in this study. The results also show that organizational trust between client and vendor significantly influences IT outsourcing effectiveness. As for contributions of this study, we have not only clarified the concept of knowledge complementarities, but also developed an instrument to measure the concept and empirically validated it. Further, we have tested the idea that knowledge complementarities and trust directly influence IT outsourcing effectiveness and trust moderates the relationship between knowledge complementarities and IT outsourcing effectiveness. Out results prescribe the knowledge complementarities of client and vendor as a useful path to IT outsourcing effectiveness. These findings have important theoretical and practical implications, which are discussed in the paper.
Purpose: Former research has argued that organizations in distribution channels face several issues to make a better team-based system. The purpose of the present research is to measure between employee's job performance and three major issues which disturb a solid team system. Research design, data and methodology: Scant past studies are available to guide for team practitioners which elements should be eliminated to improve team performance. To achieve this goal, the present authors obtained 267 US workers in distribution channels and conducted ANOVA test to measure the relationship between three team issues (Free-rider, Trust, and Communication) and job performance. Results: Our statistical findings clearly suggests that there was a statistically recognizable difference at the significance level of probability between the mean value of employees' job performance and three major issues, showing the high degree of job performance can be occurred by eliminating three major team issues. Conclusions: Therefore, the present research concludes that it is necessary that team-based management in the supply chain should focus on removing free-rider issues and also adopt open communication lines to overcome team-building challenges due to communication. Above all else, the ability to increase trust can be enhanced via task delegation and more team members' engagement.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.8
no.9
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pp.647-658
/
2018
Modern society is complex and rapidly changing, and knowledge sharing is needed to acquire and create knowledge. Knowledge sharing is the act of providing information knowledge and know-how of their own in order to cooperate with or help their colleagues. This study presents a research model using social capital theory to explain the mobile knowledge sharing behavior of virtual community members. Based on previous studies, social capital theory is divided into structural, relational, and cognitive aspects. It was composed of social interaction ties as a measure of structural aspect, trust as a measure of cognitive aspect, shared language, shared vision and relational aspect. After collecting survey data, factor analysis and regression analysis were performed using SPSS 22. In this way, we examined how the detailed factors of social capital affect information sharing behavior and how the level of knowledge sharing affects community promotion. The results showed that social interaction ties, shared language, shared vision, and trust affect knowledge sharing. Knowledge sharing has had a positive impact on community promotion.
Proceedings of the Korea Society of Information Technology Applications Conference
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2002.11a
/
pp.44-55
/
2002
This paper tried to analyse the factors influencing consumer trust and the relationships between cause variables and results in Internet Shopping Mall. In order to do so, this paper tried to analyse the trust factors in TV Home Shopping as well as Internet Shopping Mall in terms of cyber markets both. There found six factors : perceived factor before purchasing, perceived factor after purchasing, perceived and emotional factors in the course of purchasing, positive and negative emotional factors after purchasing. These factors are correlated with Internet shopping variables and we can measure how Internet shopping variables can affect trust to the shopping mall. We can compare the trust factors of TV home shopping with those of Internet shopping mall and then we can activate Internet Shopping Mall. More implications of this study and further researches should be discussed in the future research.
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