• Culinary science and hospitality research
• /
• v.22 no.4
• /
• pp.277-287
• /
• 2016

This research was conducted over four weeks from April 1, 2016 until April 30. Data collection was of responses from customers who a self-targeting customers who have visited more than 10 eating out establishments in downtown Seoul. First, a regression analysis was conducted to analyze the effect of activity of the food service industry marketing communications on customer satisfaction. First, advertising, B=0.107 (p<.001), convenient, B=0.093 (p<.05), social B=0.294 (p<.01), PR B=0.334 (p<.001), sales promotion B=0.542 (p<.001), personnel sales each had a significant positive influence (+) on customer satisfaction B=0.111 (p<.01). Secondly, menu selection catering property between marketing communications and customer satisfaction analysis of the impact of human Sales were significantly positive (+) Publicity Department had the effect of (-). In addition, advertising and sales promotion did not have any moderating effect.

• Culinary science and hospitality research
• /
• v.19 no.4
• /
• pp.268-278
• /
• 2013

The purpose of this research is to examine the effects of selection attributes of medicinal food on customer satisfaction and purchase attitude in Jinju area. A survey was conducted to 300 people who live in Jinju area, and 252 completed copies of questionnaire was returned. Statistical package 'SPSS WIN 20.0' was used to analyze the sample data, and the result of the analysis is as follows. First, for the hypothesis, 'selection attributes of medicinal food have a significant effect on satisfaction,' food quality, health food and services have a significant effect on customer satisfaction. Second, customer satisfaction with medicinal food has a significant effect on revisit. Third, customer satisfaction leads to recommendation to others. In conclusion, this research shows that medicinal food restaurants in Jinju area should provide healthy food menu, high-quality food and high-class services, which could be effective to promote the specialty of medicinal food restaurants for costumers.

• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.143-162
• /
• 2021

Research on consumers' perception and willingness to purchase Battery Electric Vehicles (BEVs) is necessary to simulate BEVs' deployment in South Korea because South Korea's BEVs market is still in the early stage. This paper derives a theoretical framework for consumer segmentation based on consumers' willingness to purchase before and after BEV usage experience. In particular, this study empirically evaluates consumers' willingness to purchase and concerns using the survey data from BEVs users in either Seoul or the Jeju region. The empirical results from logit models show that experienced consumers' concerns about the heater and air conditioning (HAC) in BEVs decreased the consumers' willingness to buy, while greater daily driving distances increased the consumers' willingness to buy. In addition, the empirical findings from ordered probit models show that experienced consumers' concerns about the short driving distance, the availability of maintenance service (i.e., A/S service) during unexpected events, and the difficulties of driving BEVs up-hill increased the degree of concern about HAC. This paper will provide insights related to consumer segmentation, R&D, marketing strategies, and policy design for policymakers and firms.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.04a
• /
• pp.1074-1077
• /
• 2010

최근 인터넷을 이용한 대부분의 예약 시스템들은 예약 기능만을 중요시하고 있어서 한정된 예약자원을 효율적으로 관리하기에 많은 어려움이 있다. 또한, 한정된 예약 자원의 배정 및 관리방식이 중앙 집중식 관리로 처리되고 있기 때문에 고객들의 선호도를 고려하지 않고 예약이 이루어지고 있다. 예약 시스템의 효율적인 관리와 현대 서비스 산업에서 중요한 고객들의 예약 만족도를 향상시키는 것은 예약 시스템에서 가장 중요한 부분이다. 본 논문에서는 이러한 예약 시스템에서 일어날 수 있는 문제를 복합 스케줄링 기법에 적용하여 예약 시스템들의 문제점을 해결하고자 하였다. 고객중심의 도서관 좌석배정 예약시스템은 객체지향개념을 기반으로 고객들의 선호도를 고려하여 고객들이 가지고 있는 사건들을 주어진 제약들에 만족하도록 목표인 도서관 좌석배치도에 배정한다. 또한 고객들의 도서관 이용 정보를 통하여 더욱더 편리한 서비스를 제공하고자 한다. 고객들은 자신의 우선순위에 따라서 자원을 배정하고, 좌석 자원에 대한 고객의 선호도 차이를 가질 수 있게 하였다. 고객 클래스와 도서관 이용정보를 고려하여 우선순위를 가진 고객들은 제약을 만족하면서 최선의 좌석 슬롯을 선택하여 사건을 배정한다. 또한, 고객중심의 도서관 좌석배정 예약시스템을 모의 실험하여 고객들의 만족도를 살펴보았다.

• Product Safety
• /
• s.53
• /
• pp.14-17
• /
• 1997

소비자라는 용어는 공급자 중심 체제하에서 공급자인 기업이 상품소비대상을 지칭하는 개념이였다. 물자부족, 인력과잉현상이 지속되던 시대에서는 공급자를 제외한 모든 구매자는 물자는 소비하는 층이었다. 그러나 이제 그 소비자 개개인의 독특한 개성을 기준으로 상품을 선택하는 시대가 된 것이다. 따라서 기업경영자로서의 우리는 이제부터 구매자를 소비자라는 개념에서 고객이라는 개념으로 바꾸어 부르도록 하자.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2004.05a
• /
• pp.69-72
• /
• 2004

기업간의 경쟁이 심화되고 정보의 중요성에 대한 인식이 확대되어 가는 상황에서 다량의 데이터로부터 가치 있는 데이터를 추출하는 CRM 데이터 마이닝은 중대한 관심사가 아닐 수 없다. 본 연구는 데이터마이닝의 여러 활용 분야 중 고객세분화를 위해 최근 많이 사용되고 있는 데이터마이닝 기법인 로지스틱 회귀분석, 의사결정나무, 신경망 알고리즘 기법들을 비교하며, 이를 실제 아파트 고객의 데이터를 이용하여 검증하고자 한다. 따라서, 아파트 고객 세분화를 위한 데이터마이닝 수행시 기법 선택의 기준과 비교 평가의 기준을 제시하는 데 연구목적 있다.

• The Journal of the Korea Contents Association
• /
• v.13 no.1
• /
• pp.447-455
• /
• 2013

This paper is to investigate how selection variables and service quality influence on customer satisfaction and loyalty on Korean restaurants. They are chinese living in Korea that compose a little over 50% among foreigners. The findings and marketing guideline are showed up; First, 3 factors among choice attributions had highly significant on customer satisfaction and loyalty. They are 'service', 'food', and 'location' factors. They should reinforce food's taste & quality and also, service staff's elaborate service, and traffic's accessbility. Second, 'sympathy', 'tangibles', and 'response' factors among service quality were strongly influenced on customer satisfaction and loyalty. Therefore, they should provide various menu which is based on seasons & events, food's decoration, and immediate service. Third, customer satisfaction and loyalty are influenced each other. It should strengthen through consistent quality management and service.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.6
• /
• pp.287-297
• /
• 2021

The goal of this study is to investigate and provide information to the Fintech Industry on the main factors responsible for customer loyalty via the mediating effect of customer satisfaction. Secondly, providing traditional banking reasons for customer shifts from banking to Fintech, therefore these factors could be more focused. The consumer choices presented in this study can thus serve as a foundation for further research into post-adoption behaviors associated with Fintech for cross-border payments. This study examines consumer evaluations of how key attributes of fintech using mobile payment services affect their choice by using a conjoint analysis approach, which allows for the approximation of user preferences for specific features. In our study we have used SPSS 26 to test the reliability and mediation effect on the sample size of 348 people who regularly used Fintech for cross border payments. All the questionnaires were prepared if the customers were given fintech as an option instead of traditional banks to send their remittances abroad. The result shows that(Service Quality, Customer's trust and product quality) effecting customer satisfaction significantly would be very helpful for the current fintechs working for home remittances to improve these factors and would serve as a benchmark for the upcoming fintech startups and traditional banks to focus on these factors and catch up the fintech Industry. Finally, it is argued that, in order to be successful, focusing on service quality, customer trust, and product quality triggered customer loyalty for the Fintech in comparison to other traditional options for cross-border payments via the mediation effect of customer satisfaction.

• Journal of Intelligence and Information Systems
• /
• v.29 no.4
• /
• pp.325-345
• /
• 2023

In the rapidly evolving domain of e-commerce, our study presents a cohesive approach to enhance customer satisfaction prediction from online reviews, aligning methodological innovation with practical insights. We integrate the RFE-SHAP feature selection with LDA topic modeling to streamline predictive analytics in e-commerce. This integration facilitates the identification of key features-specifically, narrowing down from an initial set of 28 to an optimal subset of 14 features for the Random Forest algorithm. Our approach strategically mitigates the common issue of overfitting in models with an excess of features, leading to an improved accuracy rate of 84% in our Random Forest model. Central to our analysis is the understanding that certain aspects in review content, such as quality, fit, and durability, play a pivotal role in influencing customer satisfaction, especially in the clothing sector. We delve into explaining how each of these selected features impacts customer satisfaction, providing a comprehensive view of the elements most appreciated by customers. Our research makes significant contributions in two key areas. First, it enhances predictive modeling within the realm of e-commerce analytics by introducing a streamlined, feature-centric approach. This refinement in methodology not only bolsters the accuracy of customer satisfaction predictions but also sets a new standard for handling feature selection in predictive models. Second, the study provides actionable insights for e-commerce platforms, especially those in the clothing sector. By highlighting which aspects of customer reviews-like quality, fit, and durability-most influence satisfaction, we offer a strategic direction for businesses to tailor their products and services.

• Journal of Digital Convergence
• /
• v.15 no.3
• /
• pp.87-98
• /
• 2017

As the market for coffee chains becomes fierce, it is important for coffee chains to establish an enduring relationship with customers and encourage them to revisit their stores. Thus, it becomes important to understand consumers' repurchase decision-making mechanisms in the context of coffee chains. Customer satisfaction, perceived switching costs, and regret were considered as the main factors of customers' repurchase intentions. Especially, the effect of regret experience of coffee chains on consumers' repurchase decision was examined. In addition, coffee quality, physical environment quality, service encounters performance, and brand trust were considered as attributes of coffee shop selection, and their effects on customer satisfaction and perceived switching cost were investigated. The results of the study showed that customer satisfaction and perceived switching costs had a positive effect on repurchase intention, while regret had a negative effect on repurchase intention. Coffee quality and physical environmental quality had no significant effect on customer satisfaction and perceived conversion cost. Service encounter performance had a significant impact on perceived switching costs alone. Brand trust had a significant impact on both customer satisfaction and perceived switching cost.