Purpose: According to the growth of technology in the service industry, the interaction service between customer and employee has recently been transformed into between customer and technology by Self Service Technology (SST) requiring direct interaction with customers. In this context, self service technology such as unmanned ordering system installed at the store is actively introduced at the work place to reduce labor costs by food and retail company and the research for self-service technology which is rapidly replacing existing face-to-face service is needed. As the growth speed of SST is rapid, many researchers have studied the characteristics of SST, in every sector of business worldwide. Among the characteristics, attributes, Self Service Technology Quality (SSTQUAL) to evaluate SST is important because it may cause the customer's behavior. Thus, this research focuses on the effects of SSTQUAL on SST Satisfaction and SST continuance usage intention. This research suggests the guidelines for how Restaurant Company should prepare SST and build their customer satisfaction and continuance usage that increase the sales. Research design, data and methodology: This study tests the structural relationship between SSTQUAL of unmanned ordering system, SST satisfaction and SST continuance usage. SSTQUAL divided into four sub-dimensions and two categories, cognitive service attributes (Convenience, Functionality) and affective service attributes (Enjoyment, Assurance). In order to achieve the purposes of this research, research model and hypotheses were developed based on previous researches. All constructs were measured with multiple items developed and tested in the previous studies. The data were collected from 524 customers experiencing SST and were analyzed through SPSS 25.0 and SmartPLS 3.0 statistical package program. Results: The findings of this research are as follows. First, all SSTQUAL have significant positive impacts on SST satisfaction. Second, SST satisfaction has significant positive impact on SST continuance intention. Third, cognitive service attributes and affective service attributes had wealth of explanation of service attribute more than a single dimension. Conclusions: The implications of this study are as follows. Overall, Restaurant Company should manage SSTQUAL consisting of not only cognitive service attributes (Convenience, Functionality) but also affective service attributes (Enjoyment, Assurance) to satisfy customers basically regardless of the type of restaurant.
Purpose: This study examines the structural relationship between perceived quality, relationship quality, and revisit intention in the context of coffee shop. In this model, perceived quality consists of product, service, and experience quality, and relationship quality consists of satisfaction, trust, and commitment, and performance consists of revisit intention. More specially, this study identifies whether perceived quality plays a mediating role in the relationship between perceived quality and relationship quality and the direct/indirect effects of perceive quality on intention to revisit. Research design, data and methodology: The survey was conducted from September 1 to 30, 2019. The data were collected from 320 respondents and analyzed using structural equation modeling (SEM) with AMOS program. Results: The findings are as follows. First, quality perception of coffee specialty stores had a statistically positive effect on relationship quality, indicating supports H1. Therefore, customers can know that they are aware of the quality of coffee specialty stores, including quality of service and experience as well as products, and that they form relationship quality with coffee specialty stores. Second, relationship quality between coffee shops and customers had a significant positive effect on performance. Thus, H2 was supported. The results show that if the coffee shop does not consider relationship quality as important, customer loyalty decreases, the number of customers decreases, and the number of customers who switch to another coffee shop increases, which can lead to a threat to the coffee shop. Third, in the case of hypothesis H3, it was found that there was a partial mediating effect of satisfaction and trust between quality perception and reuse intention of coffee specialty stores, so hypothesis H3 was partially supported. As commitment appears to have no mediating effect, it can be said that customers who use coffee shops are not only difficult to maintain as regular customers of a particular coffee shop, but also have ample room to move to other coffee shops. Conclusions: Although many scholars point out the importance of service quality, few studies were conducted in the context of the Korean food service industry (including coffee shops). From this perspective, this study tested several hypotheses that the quality (product, service, experience) perceived by customers can have a positive effect on relationship quality and performance (re-visit intention), either directly or indirectly. The findings of this study demonstrate that if the manager of a coffee shop understands the characteristics of quality perceived by customers and the role of relationship quality, the effect of quality perceptions on customers can be maximized in order to maintain the relationship with customers.
Purpose: This study examines the opportunism moderating effect by the startup experience in the relationship between franchisor and franchisees. In the case of a franchise system that has a continuous relational exchange transaction, relationship management is a very important activity because the relationship management between franchisor and franchisees improves the quality of the relationship. Nevertheless, there is insufficient of research on opportunism, which is a negative factor in managing the relationship between franchisor and franchisees in continuous relationship. Research design, data and methodology: This study, we explore the cause of opportunism based on transaction cost theory through prior research and establish a research model based by goal incongruity, uncertainty, information asymmetry, transaction specific assets, the relevance to determinant of opportunism and the startup experienced which is a moderating variable. To verify several hypotheses, the data were collected from 300 out of 1,760 domestic franchisees and analyzed using multiple regression analysis with SPSS program. Results: The findings are as follows. Goal incongruity did not affect opportunism. Opportunism increased as uncertainty increased, and as information asymmetry increased, opportunism increased. An opportunism decreased as transaction specific assets increased. Moreover, the findings show that startup experience only plays a moderating role in the relationship between information asymmetry and opportunism. Therefore, 4 out of 8 hypotheses were supported. Conclusions: The findings show that uncertainty, information asymmetry, and transaction specific assets are the determinants of opportunism. In addition, the results of the analysis of the moderating role of startup experience show that the less entrepreneurial experience, the greater the influence of information asymmetry on opportunism. Our findings mean that maintaining a successful relationship between franchisors and franchisees is possible when franchisors provide knowledge sharing, goal sharing, environmental sharing, and management information sharing to franchisees. In addition, the findings of this study shows that the contract content and management should be changed according to the entrepreneurial experience. In other words, the franchisors must share and integrate the accumulated franchisees' and franchisors' experience with the franchisees to create a synergy that can lead to successful bilateral relationship maintenance, which in turn reduces opportunism.
Purpose: How to build the positive emotion of customer is very important, because it affects the positive attitude. Brand evidence has a significant impact on consumer behavior in terms of reinforcing consumers' perception of food service companies and differentiating them from competing brands. Thus, this study examines the effect of brand evidence on emotion (positive emotion and negative emotion), and attitude in restaurant industry. Research design, data, and methodology: This study examines the structural relationship among brand evidence, emotion, and attitude. Brand evidence divide into three sub-dimensions such as physical evidence, core service, and employee service. In order to test the purposes of this study, research model and hypotheses were developed. The questionnaire items were modified and used according to the content of this study based on previous studies. All constructs were measured by multiple items tested and developed in the previous research. The data were collected from 439 restaurant users from Seoul area were analyzed using SPSS 22.0 and SmartPLS 3.0 program. A total of 460 questionnaires were distributed and a survey was conducted for 4 weeks, and a total of 439 were used for analysis, excluding non-response data and 21 unusable response data among the collected questionnaires. Frequency analysis was conducted to identify the general characteristics of the survey subjects. To measure the reliability and validity of the measurement tools, confirmatory factor analysis was conducted. Structural model analysis was conducted to verify the research model. Result: The findings demonstrate that physical evidence, core service, employee service had positive effects on positive emotion. And core service and employee service had negative effects on negative emotion while physical evidence did not have. Also, positive emotion had positive effect on attitude and negative emotion had negative effect on attitude. Conclusions: The findings of this study provide guidelines on how to enhance competitiveness in restaurant industry through understanding brand evidence's effects on raising perceived consumer's emotion and attitude. Therefore, food service companies should establish a marketing strategy that can stimulate positive emotions through brand evidence, which is all factors related to service brands that influence consumers' evaluation of service products and purchase decision-making process.