• Information Systems Review
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• v.19 no.3
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• pp.127-154
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• 2017

This study aims to identify various service innovation patterns in the service industry and understand the main differences among them. We attempt to create a new typology of service innovation by analyzing its patterns based on the four major dimensions of service innovation (i.e., service concept, service delivery, customer interaction, and technology). We then investigate whether firms pursuing different service innovation patterns significantly differ from one another in terms of their performance (high and low performance). Based on empirical data collected from 198 Korean firms in the knowledge-intensive business service sector, four major clusters composed of different service innovation dimensions are identified. These four clusters can be interpreted as specific service innovation patterns, including "technology based high customer interaction," "high technology based high service delivery," "service delivery and high customer interaction-integrated," and "strongly balanced" innovators. High firm performance does not depend on the individual service innovation dimension but on the specific configurations of such service dimensions. Customer interaction also has an important role in achieving innovation success and improving firm performance, while technology has a key role in enhancing firm performance. This study sheds new light on service innovation research by developing a new typology of service innovation, identifying four major clusters as service innovation patterns, and exploring the relationship between service innovation patterns and firm performance.

• Journal of Korean Elementary Science Education
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• v.26 no.4
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• pp.428-439
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• 2007

The purpose of this study was to investigate the effects of reflective thinking on verbal interaction of the pre-service teachers in elementary science classes. Two pre-service teachers were selected for this study and they respectively had gave three science classes. Every science class was recorded by using video/audio but only audio data of first and last science classes were transcribed for verbal interaction analysis. The result of this study revealed that the frequency of teacher's verbal interaction in last science class was increased rather than the case of first science class. The increasing patterns of interaction frequency were affected by the teacher's viewpoint and preparation for the science class. Teacher's verbal interactions were divided into low-level and high-level for the analysis of qualitative change. Low-level interactions are which leading students' convergent thinking, high-level interactions are which leading students' divergent thinking. Also the result of this study revealed that high-level interactions in last science class were increased rather than in first class. On the other hand, low-level interactions in last class were reduced rather than in first class. Therefore, this results implied that the effects of reflective thinking on verbal interaction of pre-service teachers in elementary science classes were appeared, but the effects were also affected by teacher's individual characteristics. Especially the changing degrees of qualitative interactions varies with the teacher's viewpoint and preparation for the science class.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.33-39
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• 2012

The purpose of this study is to investigate the effect of SNS(Social Network Service) on individual learning performance. To do this, we distribute and collect data by using a survey method. Research results suggest that online social networking engagement and acculturation have an effect on interaction quality with professors. Interaction quality with professors influences individual learning performance as well as collaborative learning. The conclusion and implications are discussed.

• Korean journal of food and cookery science
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• v.28 no.3
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• pp.285-298
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• 2012

This study was undertaken to understand the interrelationships among customer's perceptions of service encounters, customer value, and behavioral intent in a family restaurant. Based on 331 samples obtained from empirical research, we reviewed the reliability and fitness of a research model and verified three hypotheses using a structural equation model. The results showed that physical environment (${\beta}$ = .418) and a customer interaction with the service provider (${\beta}$ = .265) had a significant effect on the customer's hedonic value. Additionally, physical environment (${\beta}$ = .126) and customer interaction with service providers (${\beta}$ = .264) had a significant effect on customer utilitarian value. Customer's hedonic (${\beta}$ = .538) and utilitarian value (${\beta}$ = .382) triggered by service encounters had a significant effect on their behavioral intent. Limitations and future research directions are discussed.

• Journal of Smart Tourism
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• v.2 no.4
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• pp.35-43
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• 2022

Tourism businesses use chat services to provide immediate customer support and to help users navigate within a website, but there are more outcomes of this interaction that should be examined. The current study aimed to discover if the online travel chat service quality and information value of the online travel chat service lead to user satisfaction with the service and visit intention to a recommended destination by Korea Tourism Organization's 1330 Live Chat. The results indicate that information value (functional and innovation) and online travel chat service quality (reliability, assurance, and security) lead to satisfaction with the live chat service and visit intention to a recommended destination. The results can benefit practitioners who want to expand and improve their customer service interaction and recommendations, and to scholars who study the relationship between customer services in tourism recommendation and sales context.

• International Commerce and Information Review
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• v.8 no.2
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• pp.37-58
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• 2006

The purpose of this study were to empirically examine the effect of dimension of service quality of internet shopping mall on quality of customer relationship(customer satisfaction) and Relationship of between Future Intention. This study first extracted environment, general interaction between customer and internet shopping mall, personalized interaction between customer and internet shopping mall, interaction between customers and outcome from service quality of internet shopping mall. Then established study model and hypotheses through the review of the effect of service quality of internet shopping mall on quality of customer relationship. and the effect of customer relationship quality on future intention. The results were as follows: At among of the six hypotheses, four hypotheses were accepted and two hypotheses were rejected First, for the relationship between dimensions of service quality of internet shopping mall and Customers satisfaction, only the environment had not significant influence on Customers satisfaction, other dimensions had significant positive influence on satisfaction. second, for the relationship between quality factors of customer relationship and future intention, only Customers satisfaction had not significant influence on future intention.

• International Commerce and Information Review
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• v.17 no.3
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• pp.359-378
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• 2015

This study intends to provide strategic implication for enhancing trade show's competitiveness by analyzing its structural relationships among service quality, customer satisfaction and customer loyalty. In order to measure service quality factors influencing customer satisfaction and customer loyalty, the empirical analysis was conducted on three kinds of service quality (physical environment quality, interaction quality, outcome quality). The study results indicated that all of the physical environment quality, interaction quality and outcome quality had positive impacts on customer satisfaction. In relationship between service quality factors and customer loyalty, interaction quality and outcome quality showed positive impacts on customer loyalty, whereas physical environment quality did not. The customer satisfaction turned out to have positive impact on customer loyalty.

• Journal of Information Technology Applications and Management
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• v.21 no.2
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• pp.31-48
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• 2014

The concept of Health Related Quality of Life and its determinants have evolved since the 1980s. Although many researchers have published articles of technology usage in hospitals and the installation of technology based healthcare system, the research about applying the information technology to improve the patients' perceived quality of healthcare services is still limited. In general, services are deeds, processes and performances that are essentially concerns of the consumer. The healthcare service quality depends on tangible factors, such as equipments, facilities, and the quality of hospital staff and also the intangible ones. The main purpose of this work is to establish new model and find out the contribution of information technology to enhance the patients' perceived quality of healthcare service. We attempted to examine the main information technology related factors in 3 aspects, namely quality of information, the technology accessibility and the community that can improve patients' perceived quality of healthcare services. Offline and online questionnaires were used to measure the patients' perceived quality and were distributed to 384 people in 2 countries, Laos and South Korea. A principle component analysis and multiple regressions were used to verify our model. Results show that the use of information technology has partial positive effect on patient-physician interaction in both countries. However, patient knowledge and patient autonomy which are the 2 dimensions of patient-physician interaction has significant positive effect on patients' perceived quality of healthcare service.

• The Korean Journal of Franchise Management
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• v.15 no.2
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• pp.1-15
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• 2024

Purpose: Service quality plays an important role in the credibility of consumer behavior as it enhances brand loyality in hospitality business. The objective of this study is to determine the effects of service quality, positive emotion, brand affection, and brand loyalty in restaurant sector by applying the S-O-R model. The study also introduces a new integrated structural model that combines service quality's dimensions of physical quality, interaction quality, and outcome quality. Research design, data, and methodology: This study was analyzed in a quantitative way using the survey results of 395 customers who had experience of visiting restaurants. All constructs were measured with multiple items developed and validated in prior studies. In this study, SmartPLS 4.0 was used to evaluate the research model. The reliability, convergent validity, and discriminant validity of the measurement tool were verified. Result: Result was found that service quality(physical quality, interaction quality, outcome quality) had a positive effect on positive emotion and brand affection. Also both of positive emotion and brand affection had a positive effect on brand loyalty. This study contributes to the service quality literature and has practical managerial implications.

• The Journal of Industrial Distribution & Business
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• v.11 no.12
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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.