• Information Systems Review
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• v.26 no.1
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• pp.119-149
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• 2024

This study investigates the antecedents and mechanisms influencing trust and behavioral intentions formation towards new AI chatbots, such as ChatGPT, as travel information searching services. Analyzing the roles of variables such as familiarity, novelty, personal innovativeness, information quality and perceived anthropomorphism, the research elucidates the impact of these factors on users' cognitive and affective trust, ultimately affecting their intention to adopt information and sustain the use of the AI chatbot. Results indicate that perceived familiarity and information quality positively influence both cognitive and affective trust, whereas perceived novelty contributes positively only to cognitive trust. Additionally, the personal innovativeness of new AI chatbot users was found to weaken the effect of familiarity on perceived trust, while the perceived level of anthropomorphism of the chatbot amplified the effects of novelty and familiarity on cognitive trust. These findings underscore the importance of considering factors such as familiarity, personal innovativeness, information quality and anthropomorphism in the design and implementation of AI chatbots, affecting trust and behavioral intention.

• Journal of the Korean Geographical Society
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• v.42 no.4
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• pp.560-581
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• 2007

The purpose of this paper is to present a conceptual framework and a stage of development of trust building and to study the factors affecting on the trust building in economics space. Conceptual framework on trust building in economics space is combined of in the three approaches. The macro(structural and institutional) approach includes normative and regulative factors(laws, norms), and positionality in social and economic systems(beliefs, political ideologies, institutions). The meso(intersubjective) approach contains the personal fronts(expressive factors, social cues, significant symbols) and settings(physical space, intermediary such as technologies & knowledges). The micro(subjective) approach comprises the willingness(internalization of value) and calculation(risk and uncertainties analysis) of economic actors. According to sustainable cooperation among economic actors, trust building to the macro(structural and institutional) level, the meso(intersubjective) level, and the micro(subjective) level develop by stages. The factors such as long-term and repeated interaction, information sharing and reciprocity, interdependence and asset specificity, uncertainty, proximity, and culture & norm of corporate and formal institution are determinants on the trust building across economic actors in economic space.

• 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.

• Korean Management Science Review
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• v.20 no.1
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• pp.149-163
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• 2003

The emergence of Internal has established a huge virtual exchange market, and the innovative e-commerce has changed a way of distributing goods and services. This paper concerns the issues of customer's loyalty to maintain the customer retention between individual and Internet shopping mall. We use the concept of customer's perceived value, satisfaction, and trust, in order to explore and explain the formation process of customer loyalty. A survey data has been collected through the hep of internet research institution. A statistical analysis shows that a subset of customer's perceived value has positive Impact on satisfaction, which in turn has also positive influence on trust, Increasing the level of customer's loyalty. We also provide a brief discussion of strategic guidelines about analytic results.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.116-136
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• 2004

The objective of this study is to analyze the relationship between offline trust and use of online service focusing on Internet banking. For this purpose, we suggest an extended version of Technology Acceptance Model (TAM) that would explain use or acceptance of infer]nation technology especially in Internet based service areas. In order to connect offline trust with Internet banking use, TAM is extended by adding two variables - technical competence for security services that is one facet of trust on the bank's security technology and security risk that would influence use, perceived usefulness and perceived ease of use. Empirically our model is well proved with low significance level.

• Nuclear Engineering and Technology
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• v.50 no.7
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• pp.1168-1172
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• 2018

This study went beyond making an indicator simply based on theoretical arguments, and explored a wide spectrum of different types of perceptions about energy safety to make a concept of energy safety for the Korean society. The energy safety schemata of people can be divided into three types. Type1 is concern about multi-level risks-responsibility-centric, type2 is concern about security and personal burden-expertise-centric, and type3 is concern about health and personal burden-responsibility-centric. Questions were designed on the basis of the characteristics, differences and commonalities of the three types of perceptions, explored through the Q methodology, and Koreans' perception of nuclear safety was examined. Based on the results of this research the following components of trust in nuclear safety were derived, risk perception, responsibility, honesty, expertise and procedural justification. The items for specifically evaluating them were developed, and factor analysis was conducted, and as a result, the validity of each item was proven. The components of the nuclear safety trust indicator do not exist independently, but influence each other continuously through interactions. For this reason, rather than focusing on any one of them, laws and systems must be improved first so that they can move together in one big frame.

• Korean Journal of Organic Agriculture
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• v.29 no.3
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• pp.301-315
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• 2021

This study investigated the effect of the level of ethics in food manufacturing of agricultural products processing companies on food safety and product trust. In general, a company's food manufacturing ethics is complex, includes social responsibility, and has a potential impact on stakeholders. The main implications summarized based on the analysis results are the expansion of the HACCP application of the agricultural product processing system, the production of safe agri-food that fulfills social responsibilities with an ethical awareness, including entrepreneurial awareness, from raw materials to processing, packaging, and distribution from a long-term perspective. It was found that it was necessary to secure product trust and to provide education, consulting and management on ethical awareness.

• Science of Emotion and Sensibility
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• v.23 no.2
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• pp.103-120
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• 2020

Using driving simulation, this study investigated the effects of driver's trust in the adaptive cruise control (ACC) system and road density on driver's workload and situation awareness. The drivers were allocated into one of four experimental conditions manipulated by ACC system trust level (trust-increased vs. trust-decreased) and road congestion (high vs. low). The workload and situational awareness of the participants were measured as dependent variables. The results showed followings. First, trust-decreased group for the ACC system had significantly lower trust scores for the system in all of the measurement items, including reducing the driving load and securing safe driving due to the use of this system, than the trust-increased group. Second, the trust-decreased group showed a slower reaction time in the secondary tasks and higher subjective workload than trust-increased group. Third, in contrast, the situational awareness for the driving situation was significantly higher in the trust-decreased group than trust-increased group. The results of this study showed that the driver's trust in the ACC system can affect the various information processing performed while driving. Also, these results suggest that trust in the user's system should be considered as an important variable in the design of an automated driving assistance system.

• 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.

• Journal of Distribution Research
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• v.9 no.3
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• pp.69-96
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• 2004

This study is based upon the assumption that trust is a pedestal of much importance in the relationship behavior marketing channel members conduct in their arena. Unlike the existing studies that consider trust to be a circular simple concept with the emphasis on mutually symmetrical relationship level, this study focuses on the asymmetrically different levels of asymmetric trust concept. The major results of this study are as follows: First, among the individual characteristics which could affect on trust, reputation plays a significant role in transaction. Second, in the domain of the relation between trust and relationship characteristics, opportunistic behavior is shown to influence upon trust. Communication is turn out not to be a significant factor in trust; in a further analysis, it is also shown to influence upon willingness to make future relationship behavior. Third, willingness to make future relationship behavior plays a significant influence on trust, which shows that trust is the very core factor in the long-term relationship behavior. We can find that the antecedent factors influencing upon the trust build-up are different between agents and buyers and the established trust influences upon the future relationship behavior. This study tries to show how trust is established and what role the trust conducts.