• 산경연구논집
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• 제10권3호
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• pp.45-58
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• 2019

Purpose - The purpose of this study was to investigate the effects of the chatbot's characteristics (ease of use, social presence, playfulness, usefulness) on service value, customer satisfaction and reuse intention when consumers purchased fashion products in the mobile shopping environments. Research design, data, and methodology - Data were collected from Korean consumers from ages 20 to 59 who have experienced using chatbot in a mobile shopping for fashion products. After a pilot survey to 53 customers, the preliminary questionnaire was revised for the final test, and the final questionnaire was administered to 1500 customers. Out of these, 300 were collected. After deleting 48 incomplete ones, 252 questionnaires were used in the statistical analysis. Frequency analysis and exploratory factor analysis using SPSS 23.0 and confirmatory factor analysis and structure equation analysis using AMOS 18.0 were employed for data analyses. Results - First, four factors were extracted for the chatbot's characteristics: ease of use, social presence, playfulness and usefulness. Second, regarding the effect of chatbot's characteristics on service value when purchasing fashion products in the mobile shopping environment, ease of use, playfulness and usefulness of chatbot significantly affected service value. Social presence did not have significant effects on service value. Third, in terms of the effect of the chatbot's characteristics on customer satisfaction when purchasing fashion products in the mobile shopping environment, social presence, playfulness and usefulness of chatbot significantly had an effect on customer satisfaction. Ease of use did not have a significant effect on customer satisfaction. Fourth, service value of chatbot when purchasing fashion products in mobile shopping environment was found to have an effect on customer satisfaction with chatbot. Fifth, service value of chatbot on reuse intention when purchasing fashion products in the mobile shopping environment was found to have an effect on reuse intention of chatbot. Sixth, customer satisfaction with chatbot had a significant impact on the reuse intention of the chatbot when purchasing fashion products in the mobile shopping environment. Conclusions - The present study provide dimensions on the chatbot's characteristics and these may provide helpful data for further studies in this area and for marketers as well.

• 한국의류산업학회지
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• 제24권2호
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• pp.183-194
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• 2022

This study aims to understand the consumers' negative responses to communication failure of chatbots caused by their imperfections. Specifically, this study examines 1) the relationship among chatbot's communication failure, dissatisfaction, negative behavior (complaint, negative word-of-mouth (nWOM), and inertia); 2) the moderating effect of technostress on the relationship between chatbot's communication failure and dissatisfaction; 3) the differences in the negative responses between the generation MZ and the previous generations. Data were collected via an online survey. First, the participants interacted with the chatbot developed for this survey, to experience the chatbot's communication failure. Thereafter, they responded to a questionnaire. PLS-SEM was conducted using the R software environment to test the hypotheses. This study empirically identified that chatbot's communication failure positively affected dissatisfaction. In addition, the customers who were more dissatisfied with the chatbot's communication failures were more likely to complain than engage in nWOM. Compared to the generation MZ, chatbot's communication failure caused a higher level of dissatisfaction in previous generations. The results suggest that online shopping malls should carefully introduce an improved chatbot service after minimizing its communication failure rate. The chatbot developers of online shopping malls targeting middle-aged and elderly consumers should strive to develop and implement strategies to further alleviate consumers' dissatisfaction in the situation of chatbot's communication failure.

• 산경연구논집
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• 제11권12호
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• pp.29-38
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• 2020

Purpose: The purpose of this study is to empirically analyze the effect of chatbot service quality, chatbot trust, and chatbot satisfaction on chatbot reuse intention and store reuse intention. Research design, data, and methodology: We reviewed the literature on domestic and international chatbots, established hypotheses, and analyzed them. We empirically analyzed the process model in which chatbot service quality (interaction quality, information quality) has a positive effect on chatbot trust and chatbot satisfaction, and that chatbot trust and satisfaction positively affect chatbot reuse intention and store reuse intention. A survey was conducted on 212 people who had used shopping mall chatbots and financial service chatbots after demonstrating the shopping mall chatbot video. Structural equation modeling was conducted by using AMOS 24.0 to test the proposed relationships. Results: As a result of the empirical analysis, the effects of interaction quality on chatbot trust and information quality on chatbot satisfaction were not supported, but the rest of the hypotheses were statistically significant. It was found that the information quality of chatbot service had a positive effect on chatbot trust, but did not significantly affect chatbot satisfaction. In addition, the interaction quality of the chatbot positively affects the satisfaction of the chatbot, but it does not significantly affect the trust of the chatbot. Chatbot trust was found to have a positive effect on chatbot satisfaction. Chatbot trust and chatbot satisfaction were found to have a positive influence on the intention to reuse the chatbot. And, chatbot trust and chatbot satisfaction were found to have a positive influence on store reuse intention. Conclusions: The findings of this study offer significant theoretical and managerial contributions in the context of chatbot. Chatbots should enhance customer contact quality management from the perspective of total customer experience management rather than partial function. When providing a chatbot service, it is more desirable to give priority to providing accurate information to increase trust, and at the same time to improve customer satisfaction by increasing the quality of interaction. And in order to increase the competitive advantage of companies, the purpose of introducing chatbots should be clarified and approached strategically.

• 패션비즈니스
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• 제25권4호
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• pp.79-91
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• 2021

Currently, chatbot, a conversational platform based on artificial intelligence, is drawing attention as a new marketing channel. This study attempted to verify the effect of the anthropomorphism, message type, and media self-efficacy level on purchase intention. The experimental design of this study was a 2 (anthropomorphism level of shopping chatbot: low vs. high) × 2 (message type: factual vs. evaluative) × 2 (media self-efficacy: low vs. high) three-way mixed analysis of variance (ANOVA). This study conducted a survey by the convenience sampling method of 402 women in their 20s and 30s living in Seoul and the Gyeonggi area who were aware of chatbot services. For the final analysis, 388 questionnaires were used. Data were analyzed with the SPSS 23 program and three-way ANOVA. Simple main effects analysis was conducted. The results of this study were as follows. First, there were statistically significant differences in purchase intention according to anthropomorphism level, message type, and media self-efficacy. Second, message type and media self-efficacy showed statistically significant interaction effects on purchase intention. Lastly, anthropomorphism and the media self-efficacy level and the message type of the shopping chatbots showed significant three-way interaction effects on purchase intention.

• 한국의류학회지
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• 제44권4호
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• pp.573-593
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• 2020

This study analyzes consumers' responses toward chatbot services in a fashion retail context. Anthropomorphism and personalization of chatbots are proposed as critical features of a chatbot service that attract positive behavioral intentions from consumers. Social presence, trust, and enjoyment are expected to mediate associations among chatbot characteristics and consumers' acceptance of the service. The experiment was conducted in a controlled laboratory; participants were instructed to engage with a virtual shopping chatbot service via their cell phone and complete a questionnaire online. A total of 189 participants participated in this study along with and four experimental groups of 2 (anthropomorphism: high / low) × 2 (personalization: high / low) were formed with between-subject design. The collected data were analyzed using SPSS 25.0 and SPSS PROCESS Macro programs. The results show that the effect of anthropomorphism and personalization of chatbots on consumers' service acceptance intention when using fashion shopping chatbot service were mediated sequentially by social presence, trust, social presence and enjoyment. This study provides meaningful evidence on the effects of chatbots characterized by anthropomorphism and personalization on consumer responses, acceptance intention and associated psychological mechanisms by expanding the field of consumer behavior into chatbot services.

• 한국콘텐츠학회논문지
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• 제22권7호
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• pp.136-148
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• 2022

본 연구는 챗봇서비스를 이용한 소비자의 고객경험이 브랜드 신뢰와의 관계에 미치는 영향에 대해서 살펴보고자 하였다. 인터넷 쇼핑몰을 통해서 챗봇서비스를 경험한 소비자를 대상으로 설문조사를 실시하였고, 최종 299부의 유효한 데이터를 분석하여 연구가설을 검증하였다. 분석결과 챗봇서비스를 이용한 고객의 경험은 챗봇 신뢰에 긍정적인 영향을 미치고, 챗봇 신뢰의 매개역할을 통해 쇼핑몰 신뢰, 판매자 신뢰 및 브랜드 신뢰에 긍정적인 영향을 미치며, 챗봇의 사회적 실재감은 신뢰의 전이 과정에서 조절효과를 갖는 것으로 나타났다. 본 연구를 통하여 챗봇서비스를 경험한 고객의 경험이 챗봇 신뢰를 매개로 하여 브랜드 신뢰에 긍정적인 영향을 미친다는 이론적 토대를 마련할 수 있었으며, 챗봇서비스가 마케팅의 중요한 수단이 될 수 있다는 점에서 시사점을 제공해 줄 수 있다. 향후 연구에서는 챗봇 신뢰와 관련한 다양한 연구가 필요하다.

• 한국HCI학회논문지
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• 제14권2호
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• pp.71-81
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• 2019

인공지능(AI) 기술이 발달함에 따라 다양한 영역에서 활용되고 있다. 인공지능을 활용한 챗봇(Chatbot)의 이용도 여러 분야로 확대되고 있으며, 특히 모바일 쇼핑 이용이 증가하면서 챗봇 서비스의 소비자와의 소통 기능이 주목 받고 있다. 그러나 챗봇에 대한 연구는 초기 단계이며 모바일 커머스에서 이용하는 챗봇에 대한 선행연구는 아직 미비하다. 따라서 본 연구는 쇼핑 챗봇에 대한 소비자 반응을 실증적으로 살펴보고 의인화된 챗봇의 에이전트로서의 유형과 메시지 유형이 어떠한 영향을 주는지를 검증하고자 하였다. 구체적으로 챗봇 에이전트 유형(비서/친구)과 메시지 유형(사실/평가)을 독립변수로 $2{\times}2$ 집단 간 실험을 수행하였다. 연구 결과, 챗봇 에이전트 와 메시지 유형이 소비자의 챗봇에 대한 지각된 인식 및 반응에 미치는 주효과는 발견되지 않았지만, 에이전트 유형과 메시지 유형의 간 상호작용이 나타났다. 구체적으로 에이전트 유형이 비서일 때에는 사실적 메시지로 상품 추천을 하였을 때 긍정적인 영향을 미치는 반면, 친구일 경우에는 평가적 메시지 유형이 보다 긍정적인 반응을 얻는 것으로 나타났다. 이 결과는 챗봇 서비스에 대한 소비자 반응을 이해하기 위해서 커뮤니케이션 요소들을 고려해야 하며 이를 적절하게 활용하여 긍정적인 경험을 유도할 수 있다는 학문적, 실무적 시사점을 제공한다.

• 한국의류학회지
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• 제46권3호
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• pp.464-480
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• 2022

With the steady development of Artificial Intelligence (AI), online stores are adopting chatbot services as virtual shopping assistants. This study proposes the concept of para-social presence to explore the undiscovered role of fashion chatbots' emotional and relational characteristics on service acceptance. Based on the Technology Acceptance Model (TAM), this study investigates the effect of a chatbot's para-social presence on service acceptance intention through consumers' beliefs. The web-based experiment was conducted on adult consumers who experienced chatbot services in an online shopping situation. A total of 247 responses were analyzed using confirmatory factor analysis, structural equation modeling, and multi-group SEM by AMOS 21.0 and SPSS 23.0. The findings illustrate that the chatbot's intimacy positively influenced consumers' perceived enjoyment, while the chatbot's understanding had a significant effect on perceived usefulness and ease of use. The chatbot's involvement had a positive effect on all consumer beliefs. Moreover, perceived ease of use had a positive influence on usefulness. A greater level of perceived usefulness and enjoyment positively heightened consumers' service acceptance intention. This study also verifies the moderating role of a need for human interaction. Consumers with a high need for human interaction have a relatively low tendency to perceive chatbot services as useful.

• Asia Marketing Journal
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• 제25권3호
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• pp.99-110
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• 2023

Chatbot services have become an essential communication tool for interacting with consumers in e-commerce. To understand consumer behavior in the context of chatbot services, we apply the Theory of Planned Behavior (TPB) to analyze continuance intention to use and additional predictors to explain behavioral intention. An analysis of data collected from 300 digital shopping users who had experienced chatbot services revealed that an extended TPB model holds for the continuous use of chatbot services, driven by both interaction and information quality. Accordingly, these ndings provide a better understanding of consumer behavior toward chatbot services and valuable insights into digital customer relationship management.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1347-1356
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• 2017

Artificial intelligence-based services are expanding into a new industrial revolution. There is artificial intelligence technology applied in real life due to the development of big data and deep learning related technology. And data analysis and intelligent assistant services that integrate information from various fields have also been commercialized. Chatbot with interactive artificial intelligence provide shopping, news or information. Chatbot service, which has begun to be adopted by some public institutions, is now just a first step in the steps. This study summarizes the services and technical analysis of chatbot. and the direction of public administration service chatbot was presented.