• Fashion & Textile Research Journal
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• v.16 no.2
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• pp.208-217
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• 2014

This study focuses on analyzing a subset of consumer activities (especially social medium) in their wedding preparation. The focus of this study is on wedding online communities and understanding the impact of communities on selective behavior for information-acceptance. Data was compiled based on female consumers in their 20s and 30s who actively participate in online community forums. It included female consumers preparing for their weddings and individuals interested in weddings. A total of 211 questionnaires were collected from January $10^{th}$ to $23^{rd}$ in 2012. The online communities were identified from Naver, Yahoo, and online search portals; subsequently, they were rank-sorted based on number of members, visitors, and forum posts. We identified four different characteristic based on the findings from the analysis of on-line wedding communities. The characteristic of these communities were divided into sharing experience, functionality of the webpage, informativeness, and interactivity; consequently, use of these online communities is based on trust and significant personal relationships between the members online. Out of the four different community characteristics, sharing experience was found to have a greater impact for the selective behavior of wedding dresses and information- acceptance than the functionality of the webpage, interactivity, and informativeness. We conclude that trust in information provided by members with marriage process experience is the foremost important factor in the behavior of individual consumers wit iexplore.exe -extoff hout marriage process experience. Therefore, the impact of these online communities catering to would-be brides is based on the trust of posters and how well it is articulated.

• Journal of the Korean Home Economics Association
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• v.48 no.6
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• pp.119-132
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• 2010

The purpose of this study is to investigate the effect of the perceived motivations of the corporate social marketing to fashion brand and the process of consumer-brand relationship building. In this study, we proposed the hypotheses on the relationships among six focal variables. The collected data were analyzed by frequency analysis, reliability analysis, factor analysis and covariance structure analysis with SPSS 12.0 program and AMOS 7.0. 519 complete responses were obtained from core female adults consumers in fashion market. The results were as follows. First, philanthropic motivation significantly affected both benevolence and expert-based trust, but economic motivation significantly affected expert-based trust only. Second, there were significant effects in consumer trust and brand emotion. Third, the brand emotion had a strong influence on brand commitment. The results of this study will help fashion corporations to understand the relative importance of the two different motivations of CSR activities in building consumer-brand relationships.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.4
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• pp.1-18
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• 2015

This paper proposes relational capability as a main driver of constructing inter-organizational collaboration networks. Based on social network theory and relational view literature, three components of relational capability are constructed and implemented by an agent-based model. The components include organizational capability, structural capability, and trust between a partner and a focal firm. These three components are updated by two micro mechanisms: structural mechanism and relational mechanism. Structural mechanism is a feedback loop in which the relational capability increases structural capability and vice versa. Relational mechanism is a learning-by-doing process in which a focal firm experiences success or failure of collaboration and the experience increases or decreases cumulative trust in a partner firm. Result of agent-based simulation shows that a collaboration network emerges through interactions of firm's relational capabilities and the characteristics of emerged networks vary with the contribution of structural capability and trust to relational capability. Specifically, in case structural capability contributes more to relational capability, the average degree centrality and collaboration proportion increases as time passes and enters into an equilibrium state. In that case, almost every firms participated in the network collaborates each other so that the emerged network becomes highly cohesive. In case trust contributes more to relational capability, the results are reversed. In an equilibrium state, the balance of contribution between structural capability and trust makes an emerged network larger and maximizes average degree centrality of the network.

• International Commerce and Information Review
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• v.9 no.1
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• pp.3-21
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• 2007

The explosive growth of e-marketplace transactions requires an appropriate trust measuring framework to protect involving transacting entities such as buyers and sellers. As a strategic competitive edge, e-marketplace service providers have been adopting various system features that make sure no one transacting entity takes a major risk in online transactions involved. In this paper, an improved trust measuring method using fuzzy theory for an e-marketplace is proposed. The proposed methodology incorporates fuzzy set and calculation concepts to help build trust matrices and models, which are used to measure the level of risk involved in a specific e-marketplace transaction concerned. The proposed framework can be utilized to optimize the transaction costs by recommending a differentiated transaction process according to the risk level involved in each online transaction.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.251-265
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• 2010

Recently, with increasing interest in the subject of interfirm relationship mechanism, some information systems researchers point out that existing outsourcing theories are limited in explaining the choice of governance mechanisms in interfirm relational exchanges. Recognizing the importance of trust-commitment, this study focuses on the relationship of between control mechanism and commitment. Especially the role of trust as mediator is mainly researched. A mediation model was suggested on the basis of theoretical linkages from prior relevant studies. The research model was empirically tested with 73 IS outsourcing projects. The findings have significant impactions for further research and practice. Findings are as follows: First, outcome control, process control, social control had positive effects on trust and commitment. Second, inter-organizational trust played as a partial mediator on the relationship between control mechanisms and commitment. Based on these findings, the implication and the limitation of the study were presented including some directions for future studies.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.35-53
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• 2014

Company Social Networks (CSN) has emerged as a commonly used marketing channel. One of the most important advantages in CSN is the user's voluntary behavior as a relational performance. We classified level of voluntary behavior, as 'consumption', 'active participation', and 'creative contribution' to comprehend different relational performance of CSN. Moreover, we proposed research model to compare positive attitude and negative attitude. This study aims to investigate 'the process of user's voluntary behavior in CSN' which is causal relationship between benefits of CSN, user's attitude and voluntary behavior. Empirical results with 175 valid questionnaire data revealed that CSN benefit factors played a significant role in trust and distrust. Based on these effects, trust and distrust have different influences as level of voluntary behavior, just as proposed. For practitioners, it is crucial finding that users are more active behavior based on strong trust.

• Management & Information Systems Review
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• v.35 no.4
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• pp.155-168
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• 2016

The purpose of this study is to empirically examine the structural relationships among colleague trustworthiness, organizational trust and organizational citizenship behaviors(OCB). To conduct such examination, the author (i) designated colleague trustworthiness, organizational trust and OCB as variables and (ii) designed a research model by conducting preceding studies on the variables. To examine the research model the author collected the survey data from the 2 universities employees, 134 copies of questionnaire. Collected data were analyzed using SPSS and AMOS programs. The analysis results are as follows. Especially, (1) there was no statistically significant relationship between colleague trustworthiness and OCB. (2) it was found that higher degree of integrity the constructs of colleague trustworthiness would lead to higher degree of organizational trust. (3) organizational trust has been found to exert mediating effect on the relationship between colleague trustworthiness and OCB. The implication and limitation which this study are as follows. First, this study has discovered that organizational trust is the important mediating variable that affect the process of relationship between colleague trustworthiness and OCB. This study have limitation in that was conducted based on cross-sectional design of research. Because, the formation of trust is a dynamic process.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.34-41
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• 2019

The purpose of this study was to examine the meaning and structure of the experience of female college students. For this purpose, 22 female college students, regardless of age, participated in the interview three times in total. Interview data were processed through the analysis and interpretation process using the phenomenological research method, Giorgi method. As a result, 34 semantic units were derived, then divided into 14 subcomponents, and then divided into 6 categories. As a result of analysis, the spiritual value of female college students was composed of "family", "friendly person", "professional person", "empathy", "reflection" and "trust". Based on the above meaning, the structure of the spiritual value of female college students can conclude that they were a continuation of life that forms a strong sense of value and empathy and trust with patience with family and friends. Based on this, intervention on spiritual well-being of female college students suggests that intervention to form values based on empathy and trust based on family and close friends is implemented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5437-5454
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• 2016

A Wireless Sensor Network (WSN) is composed of several sensor nodes which are severely restricted to energy and memory. Energy is the lifeblood of sensors and thus energy conservation is a critical necessity of WSN. This paper proposes a clustering algorithm namely Energy Efficient Trustworthy Clustering algorithm (EETCA), which focuses on three phases such as chief node election, chief node recycling process and bi-level trust computation. The chief node election is achieved by Dempster-Shafer theory based on trust. In the second phase, the selected chief node is recycled with respect to the current available energy. The final phase is concerned with the computation of bi-level trust, which is triggered for every time interval. This is to check the trustworthiness of the participating nodes. The nodes below the fixed trust threshold are blocked, so as to ensure trustworthiness. The system consumes lesser energy, as all the nodes behave normally and unwanted energy consumption is completely weeded out. The experimental results of EETCA are satisfactory in terms of reduced energy consumption and prolonged lifetime of the network.