• Fashion & Textile Research Journal
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• v.11 no.5
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• pp.741-752
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• 2009

As a major obstacle to active online purchase at the level of consumer in China, distrust is raised in this study. Most of previous studies showed that trust is a major variable to cause a relational unity between company and consumer, on the other hand, this study attempts to show that according to the two dimensional point of view regarding trust each dimension of both trust and distrust distinctly contributes to marketing achievement. Interaction, perceived popularity, information usefulness, perceived security risk and perceived dealing risk were created as preceding variable, trust and distrust were constituted as parameter and relation absorption and purchase intention as consequential variable. These variables were analyzed with structural equation modeling (SEM) in LISREL 8.3 program. The results for this study are as follows. First, relation between exchange actors in marketing is divided into two concepts of trust and distrust differently from the previous studies. On the assumption that trust and distrust might exist simultaneously and they would distinctly have an influence on marketing consequency such as relation absorption and repurchase intention, it is identified that trust and distrust are a different dimension in online context. Second, the formative factor of online trust-distrust is identified and it is shown what relationship between internet shopping mall and relation absorption and foregoing purchase intention resulting from online trust-distrust exists. Third, it is shown that in online context the formative factor of online trust-distrust is distinctly contributed to relation absorption and repurchase intention. It is suggested that trust needs to be managed two-dimensionally separating from trust and distrust. Fourth, it is shown that both trust and distrust factor in terms of relation absorption and repurchase intention of consumer in internet shopping mall are significant variables. Trust is linked with repurchase intention through relation absorption, however, distrust is not directly linked with repurchase intention through relation absorption. Thus, the ripple effect of distrust appears to be much higher than that of trust.

• Asia pacific journal of information systems
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• v.25 no.3
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• pp.500-518
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• 2015

The present research aims to identify the relationship between trust and distrust in an online business environment. To clarify the concepts, cognitive-affective personality system theory was introduced, through which five types of psychological units were proposed. In developing the research model based on the theory, technical effectiveness of the system and content truthfulness of the website were selected as two key stimuli for the coding process of online users. Trust and distrust were selected as mediating factors that generate consequent behaviors. Finally, purchase intention served as a final dependent variable. Assuming that trust and distrust emerge in psychologically different stages, this study hypothesized the mutual causal relationship between trust and distrust, indicating that the relationship will be determined by their contextual emphasis on each dimension. To validate, a survey was conducted with 307 online shopping mall users. Results show that stimuli were more significantly associated with trust. Trust is therefore a more cognitive construct than distrust, and the path from trust to distrust is stronger than that from distrust to trust. This finding implies that the cognitive aspect of trust is stronger than that of distrust. Distrust is rather more affectively emerging than trust.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.1-20
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• 2011

Due to the wide use of internet, electronic commerce market is gradually increasing but consumers still conceive various transaction-related problems. Various studies argue that those problems are obstructing trust in electronic commerce. Most studies on electronic commerce address that trust is measured as a Single dimension in which factors obstructing trust are same as those of increasing distrust. However, this study doesn't view trust as a single dimensional level but understands trust and distrust are bidimensional. This study also holds a viewpoint that they are influenced by different antecedents. According to the results of empirical analysis, the antecedents of trust have a significant explanatory power to trust and those of distrust have it to distrust. Other relations among the notions of trust and distrust, perceived risk and purchase intention as depicted in the research model are all statistically significant except the relation between distrust and purchase intention. This study shows a strong evidence of the bidimensionality of trust with separate antecedents.

• The Journal of Information Systems
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• v.26 no.1
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• pp.171-188
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• 2017

Purpose This study investigates the effects of trust and distrust on intention to purchase in open market, based on the idea that trust and distrust can co-exist. Specifically, this study approached the effects of trust and distrust of the open market on the intention to purchase from a two-dimensional perspective, and examined trustworthiness as the antecedents of trust and distrust. Design/Methodology/Approach In this study, we conducted a questionnaire survey on consumers who have actually purchased a product from open markets in Korea for two months. As a result, 141 users are chosen for the sample. We apply PLS (Partial Least Squares) structural equation modeling (SEM) to verify our theoretical model using the software application SmartPLS 3.0. Findings First, trust in open market positively affects intention to purchase, whereas distrust in open market negatively affects intention to purchase. Second, the three antecedents of trust (i.e. three factors constituting trustworthiness such as ability, benevolence and integrity) affect trust in open market. Third, integrity negatively affects distrust in open market. Since integrity plays an important role in building both trust and distrust in open market, the operators of open market should pay attention to managing their integrity.

• Asia pacific journal of information systems
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• v.24 no.3
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• pp.393-415
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• 2014

This study examines the dynamics of trust and distrust at different price levels. We first note that trust and distrust are built with cognitive and affective foundations, and price is viewed as a financial burden or product quality information. Then, we relate price changes to trust and distrust, and hypothesize their interactions: price as a quality cue will positively moderate the cognitive dimension of trust, whereas price as financial burden will negatively moderate the affective dimensions of trust and distrust. We surveyed 263 online mall shoppers in Korea. Among our eight hypotheses, six are fully supported and two are partially supported. The result shows that price perception interacts with both the cognitive and affective dimensions of trust and distrust, but its specific impacts are distinguished by the price perceptions, whether it is financial burden or product quality information.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.19-38
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• 2017

Collaborative filtering (CF) algorithm has been popularly used for implementing recommender systems. Until now, there have been many prior studies to improve the accuracy of CF. Among them, some recent studies adopt 'hybrid recommendation approach', which enhances the performance of conventional CF by using additional information. In this research, we propose a new hybrid recommender system which fuses CF and the results from the social network analysis on trust and distrust relationship networks among users to enhance prediction accuracy. The proposed algorithm of our study is based on memory-based CF. But, when calculating the similarity between users in CF, our proposed algorithm considers not only the correlation of the users' numeric rating patterns, but also the users' in-degree centrality values derived from trust and distrust relationship networks. In specific, it is designed to amplify the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the trust relationship network. Also, it attenuates the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the distrust relationship network. Our proposed algorithm considers four (4) types of user relationships - direct trust, indirect trust, direct distrust, and indirect distrust - in total. And, it uses four adjusting coefficients, which adjusts the level of amplification / attenuation for in-degree centrality values derived from direct / indirect trust and distrust relationship networks. To determine optimal adjusting coefficients, genetic algorithms (GA) has been adopted. Under this background, we named our proposed algorithm as SNACF-GA (Social Network Analysis - based CF using GA). To validate the performance of the SNACF-GA, we used a real-world data set which is called 'Extended Epinions dataset' provided by 'trustlet.org'. It is the data set contains user responses (rating scores and reviews) after purchasing specific items (e.g. car, movie, music, book) as well as trust / distrust relationship information indicating whom to trust or distrust between users. The experimental system was basically developed using Microsoft Visual Basic for Applications (VBA), but we also used UCINET 6 for calculating the in-degree centrality of trust / distrust relationship networks. In addition, we used Palisade Software's Evolver, which is a commercial software implements genetic algorithm. To examine the effectiveness of our proposed system more precisely, we adopted two comparison models. The first comparison model is conventional CF. It only uses users' explicit numeric ratings when calculating the similarities between users. That is, it does not consider trust / distrust relationship between users at all. The second comparison model is SNACF (Social Network Analysis - based CF). SNACF differs from the proposed algorithm SNACF-GA in that it considers only direct trust / distrust relationships. It also does not use GA optimization. The performances of the proposed algorithm and comparison models were evaluated by using average MAE (mean absolute error). Experimental result showed that the optimal adjusting coefficients for direct trust, indirect trust, direct distrust, indirect distrust were 0, 1.4287, 1.5, 0.4615 each. This implies that distrust relationships between users are more important than trust ones in recommender systems. From the perspective of recommendation accuracy, SNACF-GA (Avg. MAE = 0.111943), the proposed algorithm which reflects both direct and indirect trust / distrust relationships information, was found to greatly outperform a conventional CF (Avg. MAE = 0.112638). Also, the algorithm showed better recommendation accuracy than the SNACF (Avg. MAE = 0.112209). To confirm whether these differences are statistically significant or not, we applied paired samples t-test. The results from the paired samples t-test presented that the difference between SNACF-GA and conventional CF was statistical significant at the 1% significance level, and the difference between SNACF-GA and SNACF was statistical significant at the 5%. Our study found that the trust/distrust relationship can be important information for improving performance of recommendation algorithms. Especially, distrust relationship information was found to have a greater impact on the performance improvement of CF. This implies that we need to have more attention on distrust (negative) relationships rather than trust (positive) ones when tracking and managing social relationships between users.

• Economic and Environmental Geology
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• v.52 no.6
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• pp.605-616
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• 2019

The purpose of this study is to measure the trust and distrust perception of our society about science and technology. In addition to examining trust and distrust in science and technology, we also looked at trust and distrust in geoscience technology. In addition, by comparing the levels of trust and distrust in science and technology and geological resource technology, the implications for improving the reliability of geological resource technology are drawn. This study surveyed male and female office workers over 20 years of age working in the Seoul metropolitan area on the trust and distrust of science and technology. The results of this study show that respondents showed above-average trust in science and technology and geological resource technology. According to the gender or age of respondents, there was no difference in trust and distrust of science and technology and geological resource technology. As a result of examining the difference between trust and distrust in science and technology and geological resource technology, respondents showed higher trust scores in science and technology than geological resource technology. These results suggest that current communications activities on geological resources should be more active and diversified.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.169-185
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• 2017

This study proposes a novel recommendation algorithm that reflects the results from trust/distrust network analysis as a solution to enhance prediction accuracy of recommender systems. The recommendation algorithm of our study is based on memory-based collaborative filtering (CF), which is the most popular recommendation algorithm. But, unlike conventional CF, our proposed algorithm considers not only the correlation of the rating patterns between users, but also the results from trust/distrust relationship network analysis (e.g. who are the most trusted/distrusted users?, whom are the target user trust or distrust?) when calculating the similarity between users. To validate the performance of the proposed algorithm, we applied it to a real-world dataset that contained the trust/distrust relationships among users as well as their numeric ratings on movies. As a result, we found that the proposed algorithm outperformed the conventional CF with statistical significance. Also, we found that distrust relationship was more important than trust relationship in measuring similarities between users. This implies that we need to be more careful about negative relationship rather than positive one when tracking and managing social relationships among users.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.115-126
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• 2017

Organizational trust is recognized as a factor that is directly linked to the organization's success in the sudden change represented by the 4th Industrial Revolution and uncertainties. This study selected trust and distrust as separate concepts and verified the structural relationship between organizational justice, psychological contract, trust, distrust, and turnover intention. Organizational justice was significant as a antecedents of distrust, whereas psychological contract was antecedents of trust, and distrust only had a significant effect on turnover intention. This result supports that trust and distrust are not one dimensions but two separate concepts. Also, organizational justice had no direct effect on turnover intention and only indirect effect through distrust was significant. This study has implications for both theoretical and practical aspects in terms of identifying the differential effects of trust and distrust.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.360-374
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• 2017

This study investigates the effects of trust and distrust on intention to purchase in open markets, based on the ideas derived from previous studies such as coexistence of trust and distrust, and two distinct trustees in open markets-intermediary and sellers. Specifically, this study i) proposes a trust-distrust model of intermediary and sellers, ii) explores the transfer of trust and distrust from intermediary to sellers, and iii) discovers the antecedents of trust and distrust. The empirical validation using Partial Least Squares shows three results as follows. First, trust in intermediary positively affects intention to purchase through the mediated impact of trust in sellers. That is, trust in intermediary transfers to trust in sellers. Second, distrust in intermediary negatively affects intention to purchase through the mediated impact of customers' perceived risk. Third, structural assurance and perceived website quality positively affect trust in intermediary. The results of this research have implications for intermediary firms not only to build trust but also to manage distrust level. However, this study could not identify any antecedent of distrust, so further research for these antecedents will be needed in the future.