• Journal of Service Research and Studies
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• v.12 no.3
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• pp.93-114
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• 2022

The hospitality and food service sector is the food sector that generates the most food waste. To deliver a more sustainable service, the food service industry needs to understand and reduce customer plate waste, which is mostly avoidable. Several studies have investigated the drivers of plate waste behaviors and proposed mitigations. However, service designers need actionable insights that inspire innovative solutions. The goals of this study are twofold. The first goal is to identify factors influencing young consumers' food waste behavior in restaurants. The second goal is to frame food waste challenges as design opportunities for service designers. A photo diary was conducted with 10 Korean university students. Participants took before and after photos of two meals and fill out questionnaires. The questions include personal background, considerations when choosing a meal, satisfaction with the meal, and reasons for leaving food. Both qualitative and quantitative data were collected and analyzed. The results suggest that lack of awareness and control are the key drivers of leftovers. The food waste problem is framed into "How Might We" design opportunities for service design. Interventions should focus on improving communication with oneself, dining partners, and restaurants. The paper contributes by demonstrating the service design research approach to framing wicked problems with the example of restaurant food waste.

• Knowledge Management Research
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• v.23 no.4
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• pp.133-157
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• 2022

As data becomes a new core resource with high attention, MyData service is spreading to various fields such as finance, medical care, and the public sector. However, research on the behavior of MyData service users is insufficient. Therefore, this study aims to empirically examine the effect of MyData service traits on value perception and acceptable behavior particularly in the financial sector where MyData service is most active. To this end, this study proposed a research model based on the literature. 295 survey responses were collected from individuals and analyzed using AMOS 26.0 for hypothesis testing. As a result of the analysis, it was found that self-information control, financial convenience, and personalized service had a significant effect on perceived value, and that perceived value had a significant effect on the intention to accept MyData service. Furthermore, this study examined the role of personal innovation and technological security in the relationship between variables by suggesting them as moderators. Results show that individual innovation was found to strengthen the relationship between two variables(self-information control and personalized service) and perceived value. Also, technological security was shown to strengthen the relationship between perceived value and intention to accept financial MyData services. The findings are expected to provide useful information to understand the factors affecting the acceptance of financial MyData service users and to understand the importance of individual innovation levels and technological security.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.63-70
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• 2022

Fashion is a field in which personal taste acts as the first criterion for purchase, and it is being refined as an important strategy to increase purchase conversion on mobile. Although related studies have been conducted, there are insufficient studies to confirm this according to the detailed purchasing journey of consumers. The purpose of this study is to examine whether the evaluation of user experience factors of personalized recommendation service differs by purchase journey, and to reveal whether it affects purchase intention and satisfaction. Variety, reliability, and convenience showed a significant difference at the level of 0.001% and usefulness at the level of 0.05%. Satisfaction levels were different for each stage, such as novelty and usefulness in the cognitive and interest stage, and high reliability and diversity in the search stage. It has theoretical significance in that it enhances the understanding of the purchase journey by revealing that there is a difference in user evaluation of the personalized recommendation service, and it has practical significance in that it suggests the direction of improvement of the personalized recommendation service strategy. If research on effectiveness is conducted in the future, it will be able to contribute to an advanced strategy.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.217-242
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• 2022

With the launch of Artificial Intelligence(AI)-based intelligent products on the market, innovative changes are taking place not only in business but also in consumers' daily lives. Intelligent products have the potential to realize technology differentiation and increase market competitiveness through advanced functions of artificial intelligence. However, there is no new product development methodology that can sufficiently reflect the characteristics of artificial intelligence for the purpose of developing intelligent products with high market acceptance. This study proposes a KANO-QFD integrated model as a methodology for intelligent product development. As a specific example of the empirical analysis, the types of consumer requirements for hair loss prediction and treatment device were classified, and the relative importance and priority of engineering characteristics were derived to suggest the direction of intelligent medical product development. As a result of a survey of 130 consumers, accurate prediction of future hair loss progress, future hair loss and improved future after treatment realized and viewed on a smartphone, sophisticated design, and treatment using laser and LED combined light energy were realized as attractive quality factors among the KANO categories. As a result of the analysis based on House of Quality of QFD, learning data for hair loss diagnosis and prediction, micro camera resolution for scalp scan, hair loss type classification model, customized personal account management, and hair loss progress diagnosis model were derived. This study is significant in that it presented directions for the development of artificial intelligence-based intelligent medical product that were not previously preceded.

• The Korean Journal of Franchise Management
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• v.3 no.2
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• pp.39-54
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• 2012

Franchise system in Korea has been developed in different way compared with American way of franchising based on mutual contract and intellectual property context. Korean franchising is mostly based on product distribution franchise concept rather than business format franchise in which franchisor makes revenue sources from providing their products as much as possible thru group purchasing and logistics rather than receiving royalty. Many franchise enterprises from Korea drive to enter into global franchise market based on the successful performance of Korean way of franchising. Korean enterprises are required to prepare completely for research and survey regarding local culture, custom, way of life and legal matters etc. when entering into global franchise market to gain a substantial performance. CaffeBene recently entered into American franchise business with success, and many other Korean franchise enterprises have a deep interest in proceeding with global franchise business modeling CaffeBene case. There is no Korean franchise enterprise in United Kingdom in which service franchise area in particular with personal service is considered to become a promising and potential franchise business and many people show a great interest in Oriental foods and beverages with well-being trend. Korean franchise enterprises have now access to United Kingdom easier because IT industry including internet of the country have been developed by leaps and bounds since London Olympic in 2012. The purpose of this study is to suggest key success factors and basic strategy such as situation analysis, selecting business format, and marketing strategy for successful launching of franchise business in United Kingdom.

• The Korean Journal of Franchise Management
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• v.3 no.1
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• pp.46-72
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• 2012

Currently, the service industry share in domestic industry is increasing. Especially the size and marketability of the food service industry, which satisfies with basic human desire, is growing significantly. In this food industry, the coffee industry is recognized as a different area from the traditional food industry. The age of instant coffee at low price has gone. Today, more and more customers want to drink more delicious coffee and coffee that is good to their bodies. Especially as individualism has been rambling, more and more people enjoy individualism and want their personal space. This is why coffee speciality stores have been universalized. Also, as coffee speciality stores have been generalized, their own service quality is necessary and they should satisfy and affirm their loyalty to the customers in line with the enhancement of service quality. The purpose of this research is understanding of the impact of coffee specialty shop's service quality on affective commitment and repurchase intentions. The results of an empirical study in this research are as follows: First, compassion among the execution factors of coffee specialty shop's quality has a positive effect on both of affective commitment. But typicality and reactivity don't. Second, affective commitment have a positive effect on repurchase intentions. With a base of the above research result, we should comprehend that another service quality factor exists compared to other dining-out industry and establish marketing strategies in order to contribute to enhance repurchase intentions for the customers.

• Industry Promotion Research
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• v.8 no.3
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• pp.95-109
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• 2023

The purpose of this paper is to empirically grasp the influence on self-efficacy and depression and the relationship between variables, focusing on middle-aged women in their 40s and 50s who are psychologically and socially vulnerable. Through this, it was intended to explore the psychological problems of highly educated careerinterrupted women from a personal perspective and further derive implications for the development of policies and services for socially highly educated career-interrupted women. The relationship between variables was analyzed through a survey based on measurement tools structured by variables of Saju factors, self-efficacy, and depression, and the effect of the sub-dimensional characteristics of Saju structure on self-efficacy, and the resulting level of depression were verified through structural equation model analysis. Bigeop, Jaeseong, and Kwanseong have been found to have a positive and direct effect on self-efficacy and negative direct effect on depression, eventually increasing self-efficacy and lowering depression. It was found that Siksang had a positive (+) relationship with depression and a negative (-) relationship with self-efficacy, but Inseong did not directly affect self-efficacy and depression. In addition, the indirect effects between variables and the effects between self-efficacy and depression were identified.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2D
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• pp.199-207
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• 2009

We tried to show the course of UTIS vitalization, promoting to introduce as part of the advanced traveler information system through analysis using traffic information gap model of service and structural equation modeling being used by drivers. The summary of the research is as follows. 1. We could find out the service matters needed to improve and what should be prior that make drivers' use increase through establishing the gap model of service. 2. We could establish the structural equation modeling through using traffic information use satisfaction rate, entire traffic information satisfaction rate as the observation variables. You can say it is the fruit of this research that it was confirmed the entire satisfaction rate of traffic information influenced extension, convenience, accuracy, economical efficiency in order. We could also arrange the base to determine the order of services for vitalization of UTIS in the future through grasping the priority of each service functions classified by factors. 3. It is confirmed that many drivers want multimedia function, driving support function and various functions for the personal convenience in situations except driving, which enable the drivers to enjoy leisures and interests rather than economical functions during driving due to the recent social and economic changes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4D
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• pp.351-360
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• 2010

In 2010, the number of registered vehicles reached almost at 17.48 millions in Korea. This dramatic increase of vehicles influenced to increase the number of traffic accidents which is one of the serious social problems and also to soar the personal and economic losses in Korea. Through this research, an enhanced intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network will be developed in order to obtain the important data for developing the countermeasures of traffic accidents and eventually to reduce the traffic accidents in Korea. Firstly, this research has investigated the influencing factors of road geometric features on the traffic volume of each approaching for the intersections where traffic accidents and congestions frequently take place and, a linear regression model of traffic accidents and traffic conflicts were developed by examining the relationship between traffic accidents and traffic conflicts through the statistical significance tests. Secondly, this research also developed an intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network through applying the intersection traffic volume, the road geometric features and the specific variables of traffic conflicts. Lastly, this research found out that the developed model is better than the existed forecasting models in terms of the reliability and accuracy by comparing the actual number of traffic accidents and the predicted number of accidents from the developed model. In conclusion, it is expect that the cost/effectiveness of any traffic safety improvement projects can be maximized if this developed intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network use practically at field in the future.

• Korean Journal of Culture and Social Issue
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• v.19 no.1
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• pp.69-86
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• 2013

The recent findings proposed and found that people from Eastern cultures could experience strong cognitive dissonance only when certain conditions, such as other-related choices, normative attitudes, were fulfilled. Even though such interesting findings are intuitively convincing on the basis of common understanding of individualist and collectivist cultures, the psychological mechanisms underlying the cultural variations of cognitive dissonance remain untested. The present study examined the role of attitude importance in cognitive dissonance by using the free-choice paradigm. After completing a pretest of individualism-collectivism scales, 60 college students ranked their preference to 10 items of either beverage or traffic regulations twice. Between the two ranking tasks, they were asked to engage in behavioral selection among their 5^th and 6^th preferred items. They also rated the personal importance of the preference. The results showed that attitude importance was positively correlated with attitude change and it could play a major role in experiencing cognitive dissonance beyond cultural orientation and situational factors. The current findings were discussed in universality of cognitive dissonance across cultures.