• The Journal of Information Systems
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• v.31 no.4
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• pp.123-143
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• 2022

Purpose The purpose of this study was to investigate the experience cues of chatbot services provided to existing customers familiar with the e-commerce environment, and to examine the effect of chatbot service's experience cues on customer experience and chatbot trust. Design/methodology/approach This study was conducted on consumers who experienced chatbot services in an e-commerce environment, the final 299 copies of valid data were obtained, and the research hypothesis was verified using PLS as a structural equation model. Findings As a result of the analysis, it was found that functional cues that cause customer experiences using chatbot services had a positive effect on cognitive and emotional experiences, human cues had a positive effect on cognitive, emotional and relational experiences, and customer experiences had a positive effect on chatbot trust.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.4
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• pp.639-656
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• 2020

Consumers' shopping experience has recently expanded to mobile and social networks; in addition, online fashion retailers started to focus on real-time interaction services as an emerging marketing tool. This study explores the consumer' shopping experience based on social live streaming services (SLSS) to investigate consumer's response behavior and effects through perceived service quality. An online survey method was conducted and a total of 186 female consumer panels were collected. The results indicate that cognitive communion of co-experience had a significant effect on perceived SLSS service quality (responsiveness, contents informativeness, playfulness, system availability). Service quality of SLSS (responsiveness, contents informativeness, and playfulness) had significant effect on trust in SLSS seller while system availability had no significant effect. Also, trust in seller showed significant effect on purchase intention. Last, it was confirmed that the moderating effect of purchasing experience of SLSS was significant in the relationship between cognitive communion and responsiveness/playfulness. There was also an additional significant moderating effect of purchasing experience between system availability and trust in seller.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.388-398
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• 2015

This study is to investigate an impact of emotional index, social network, and trust to customers on sales performance with emotional intelligence theory and social relationship theory. We found that the higher is seller's emotional index, the higher are cognitive and affective trust, and the high trust improves sales performance. We also found that the higher emotional index strengthens social network, but does not have an effect on cognitive and affective trust. With these results we provide the sales competency in clothing shop.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.1-17
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• 2014

Cooperative spectrum sensing (CSS) is considered as a powerful approach to improve the utilization of scarce radio spectrum resources. However, most of CSS schemes assume all secondary users (SU) are honest, and thus offering opportunities for malicious SUs to launch the spectrum sensing data falsification attack (SSDF attack). To combat such misbehaved behaviors, recent efforts have been made to trust schemes. In this paper, we argue that powering CSS with traditional trust schemes is not enough. The rational SSDF attack is found in this paper. Unlike the simple SSDF attack, rational SSDF attackers send out false sensing data on a small number of interested primary users (PUs) rather than all PUs. In this case, rational SSDF attackers can keep up high trustworthiness, resulting in difficultly detecting malicious SUs in the traditional trust schemes. Meanwhile, a defense scheme using a novel trust approach is proposed to counter rational SSDF attack. Simulation results show that this scheme can successfully reduce the power of rational SSDF, and thus ensure the performance of CSS.

• Journal of Distribution Research
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• v.13 no.2
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• pp.29-57
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• 2008

Empirical model was developed to test the building mechanism of trust dimensions and loyalty with the suppliers' bonding tactics to service firms. And interactive effects between suppliers' bonding tactics and service firms' store age was hypothesized in the trust-loyalty building processes. The model was tested in the context of animal clinics which belong to Korean Animal Hospital Association (KAHA). The data was analysed using structural equation model (SEM). The findings are as follows. First, two different relational bonding tactics play different roles in their effects on building trust dimensions toward suppliers. While supplier's social bonding tactic significantly influences on both the affective and cognitive trust of service firms, suppliers' structural bonding tactic only influences significantly on affective trust of service firms. Second, while suppliers' social bonding tactic influences on building service firms' loyalty significantly, suppliers' structural bonding tactic doesn't influence on building their loyalty. Suppliers' structural bonding tactic influences on building their loyalty indirectly through affective trust. Third, while service firms' affective trust influences on building loyalty significantly, cognitive trust doesn't. Their cognitive trust influences on building loyalty indirectly through affective trust. Fourth, the higher the firms' store age is, the more suppliers use social bonding tactics to build trust and loyalty directly. While the shorter the firms' store age is, the more suppliers partially use both the social and structural bonding tactics to build trust and loyalty. In conclusion, in the context of animal clinics' distribution channels, suppliers' relational bonding tactics with service firms differently influence to build trust sub-dimensions and loyalty. And, suppliers should take note of the interactive role of service firms' store age in the utilization of the different bonding tactics to build service firms' trust and loyalty toward suppliers. At the end of the paper, managerial implications, limitations, and future research directions are suggested.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.3
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• pp.19-31
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• 2013

The purpose of this study was to investigate the influence of consumer-internet brand relationship on consumer's satisfaction and loyalty. In order to establish structural equation model, previous studies about consumer-brand relationship, consumer's satisfaction and loyalty were investigated. The survey was limited to the respondents over 20 years old living in Seoul and other metropolitan areas who had purchased fashion products in internet shopping mall. Questionnaires were collected from February 1, 2012 to February 12, 2012 and 562 useful data were analyzed by descriptive statistics, exploratory factor analysis, confirmatory factor analysis, reliability analysis, and Pearson's correlation analysis, using Amos 19. The results of verifying the hypotheses were as follows: First, consumer-internet brand relationship was classified into two dimensions including 'emotional affection' and 'cognitive trust'. Second, both 'emotional affection' and 'cognitive trust' had a positive effect on consumer's satisfaction. Third, 'emotional affection' had a positive effect on consumer's loyalty, but 'cognitive trust' did not affect consumer's loyalty directly. Finally consumer's satisfaction had a significant effect on consumer's loyalty. It was suggested that consumer-internet brand relationship could be an important factor to form brand equity. Therefore, internet shopping mall marketer should establish a strategy that can help customers make a strong relationship with their internet shopping mall.

• Asian Journal for Public Opinion Research
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• v.1 no.3
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• pp.217-231
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• 2014

This study begins with a review of commonly discussed dimensions of public risk perception that may influence public opinion toward risks. Factors that have been revealed by the literature to have substantial impact on risk perception, such as demographic background, trust, and media environment, are also discussed. Meanwhile, we evaluate two well-known research models in the realm of risk analysis: 1) the psychometric paradigm, and 2) the social amplification of risk framework (SARF). Based on a literature review, this study suggests that, besides the psychological and social approach, models of risk perception and risk communication research should shift to a more comprehensive one by considering the interrelations between laypeople and the environment. This study proposes a research model from the perspective of social cognitive theory (SCT) as a potential framework for future studies: 1) in the societal environment, individuals' risk perception and information seeking behavior, which is determined by risk perception will be influenced by trust in regulators and interpersonal trust; 2) in the media environment, individuals' risk perception and information seeking behavior will be influenced by individuals' perceived information characteristics. Knowledge about risk accumulated through information seeking will change risk perception in a longitudinal process.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1158-1164
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• 2022

In this study, the emotional reaction process and the cognitive reaction process were divided into the process of building trust in order to form a continuous use intention in the process of using the mobile simple payment system. We examined the process by which various external factors generate continuous use intentions, that is, behavioral responses through the process of each reaction. External factors were divided into social factors, systemic factors, and social factors. Among them, system factors were social norms and images, and systemic factors were simplicity and accessibility. And the social factors consisted of security and compatibility. And the emotional response was set as pleasure and emotional trust, the cognitive response was cognitive trust, and the final dependent variable was set as continuous use intention. A survey was conducted for model analysis, and the analysis results were derived using PLS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.5
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• pp.2067-2080
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• 2016

Cooperative spectrum sensing (CSS) for vacant licensed bands is one of the key techniques in cognitive radio networks. Currently, sequential probability ratio test scheme (SPRT) is considered as a powerful soft decision approach to improve the sensing result for CSS. However, SPRT assumes all secondary users (SU) are honest, and thus offering opportunities for malicious SUs to launch the spectrum sensing data falsification attack (SSDF attack). To combat such misbehaved behaviors, recent efforts have been made to trust mechanism. In this paper, we argue that powering SPRT with traditional trust mechanism is not enough. Dynamic SSDF attackers can maintain high trust in an alternant process of submitting honest or false sensing data, resulting in difficultly detecting them. Noting that the trust value of dymamic SSDF attackers behave highly volatile, a novel trusted SPRT scheme (VSPRT) based on volatility decay analysis is proposed in this paper to mitigate the harmful effect of dynamic SSDF attackers in the process of the soft-decision data fusion, and thus improving the accuracy of the final sensing result. Simulation results show that the VSPRT scheme outperforms the conventional SPRT schemes.

• Korean Journal of Cognitive Science
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• v.33 no.4
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• pp.205-228
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• 2022

This study aimed to confirm the effect of social and relational behavior types of robots on human cognition in human-robot interaction. In the experiment, the participants evaluated trust in robots by watching a video on the robot Nao interacting with a human, in which the robot made an error and then made an effort to restore trust. The trust recovery behavior was set as three conditions: an internal attribution in which the robot acknowledges and apologizes for an error, a condition in which the robot apologizes for an error but attributes it externally, and a non-action condition in which the robot denies the error itself and does not take any action for the error. As the result, in all three cases, the error was perceived as less serious when the robot apologized than when it did not, and the ability of the robot was also highly evaluated. These results provide evidence that human attitudes towards robots can respond sensitively depending on the robot's behavior and how they overcome errors, suggesting that human perception towards robots can change. In particular, the fact that robots are more trustworthy when they acknowledge and apologize for their own errors shows that robots can promote positive human-robot interactions through human-like social and polite behavior.