본 연구는 최근 기업체에서 많이 사용하고 있는 세무회계서비스에 대한 추천 의향을 조사하여 그 결과를 분석하는 것이다. 특히 비용이나 시간적 측면에서 상대적으로 어려움을 겪는 100인 이하의 소규모 기업체를 대상으로 하여 해 당 기업체들에 더 나은 서비스가 되기 위한 방향성을 찾는 것을 목적으로 한다. 이를 위하여 100명의 기업체 관계자 대상으로, 회사 근무자 규모, 직급, 사업자 유형 등 사업체 기본 정보는 물론 이용 중인 세무회계서비스 형태, 서비스에 대한 추천 점수, 점수에 대한 이유, 기타 세무회계서비스 관련 의견 등을 조사한다. 특히 추천 점수는 단순 만족도를 묻는 일반적인 고객의 만족도 조사보다 고객의 의견을 파악하는데 더 효과적이라고 알려진 NPS(Net Promoter Score) 방식을 사용함으로써 더 효과적인 결과를 얻고자 한다. 조사 결과 추천도에 대한 NPS 점수는 -33점으로 나왔으며 이는 일반적인 NPS 점수 평가 기준을 참고할 때 낮은 편에 해당하여 세무회계서비스에 대한 개선이 필요하다는 것을 알 수 있었다. 더 구체적으로는 비추천 점수를 준 응답자들의 의견에서 불편하지도 편하지도 않고 그냥 무난해서 도움 이 되는지 잘 모르겠다, 차별성이 없으며 대안도 특별히 없다 등의 의견이 있었음을 볼 때 비추천 점수를 높이기 위해서는 차별적인 서비스가 필요하다는 결론을 얻을 수 있었다. 본 조사는 100인 이하의 기업체 관계자를 대상으로 추천 도 중심으로 조사한 것으로 이후에는 기업체 규모와 조사 항목을 더 다양하게 한 조사 진행이 추가로 필요하다.

This study was conducted to survey the perception and preferences of customers that have dined at Korean restaurants in China and investigate the importance and performance level of quality attributes, customer satisfaction, revisit intention and recommendation intention. The survey was conducted January 31~March 1, 2016 in China. The 293 questionnaires (97.7%) were analyzed using SPSS(Ver. 23.0) and AMOS(Ver. 21.0). Results of this study are as follow: Customers that dined at a Korean restaurant in China were composed of 157 women and 136 men. Regarding the reason for preferring Korean cuisine, taste, hygiene and nutritional value of Korean food were the most significant quality factors. Regarding complaints about Korean food, Chinese people placed much emphasis on freshness of ingredients when dining out, based on the majority of complaints about ingredients that were not fresh. The main reason for leftover food were personal eating habits and that of customers revisiting food taste and nutrition. Path model among customer satisfaction, revisit intention and recommendation intention revealed the factor of menus and attributes of menu items regarding customer’s age that had an impact on customers’ satisfaction, and association with customers’ satisfaction, revisit intention and recommendation intention as well.

With the increased interest in the quality of life of modern people, the implementation of the five-day working week, the increase in traffic convenience, and the economic and social development, domestic and international travel is becoming commonplace. Furthermore, in the past, there were many cases of purchasing packaged goods of specialized travel agencies. However, as the development of the Internet improved the accessibility of information about the travel area, the tourist is changing the trend to plan the trip such as the choice of the destination. Web services have been introduced to recommend travel destinations and travel routes according to these needs of the customers. Therefore, after reviewing some of the most popular web services today, such as Stubby planner (http://www.stubbyplanner.com) and Earthtory (http://www.earthtory.com), they were supposed to be based on traditional Traveling Salesman Problems (TSPs), and the travel routes recommended by them included some practical limitations. That is, they were not considered important issues in the actual journey, such as the use of various transportation, travel expenses, the number of days, and lodging. Moreover, although to recommend travel destinations, there have been various studies such as using IoT (Internet of Things) technology and the analysis of cyberspatial Big Data on the web and SNS (Social Networking Service), there is little research to support travel routes considering the practical constraints. Therefore, this study proposes a new mathematical model for applying to travel route recommendation service, and it is verified by numerical experiments on travel to Jeju Island and trip to Europe including Germany, France and Czech Republic. It also expects to be able to provide more useful information to tourists in their travel plans through linkage with the services for recommending tourist attractions built in the Internet environment.

Compound logistics is a service aimed to enhance logistics efficiency by supporting that shippers and consigners jointly use logistics facilities. Many of these services have taken place both domestically and internationally, but the joint logistics services for e-commerce have not been spread yet, since the number of the parcels that the consigners transact business is usually small. As one of meaningful ways to improve utilization of compound logistics, we propose a brokerage service for shipper and consigners based on the hybrid recommendation system using very well-known classification and clustering methods. The existing recommendation system has drawn a relatively low satisfaction as it brought about one-to-one matches between consignors and logistics vendors in that such matching constrains choice range of the users to one-to-one matching each other. However, the implemented hybrid recommendation system based brokerage agent service system can provide multiple choice options to mutual users with descending ranks, which is a result of the recommendation considering transaction preferences of the users. In addition, we applied feature selection methods in order to avoid inducing a meaningless large size recommendation model and reduce a simple model. Finally, we implemented the hybrid recommendation system based brokerage agent service system that shippers and consigners can join, which is the system having capability previously described functions such as feature selection and recommendation. As a result, it turns out that the proposed hybrid recommendation based brokerage service system showed the enhanced efficiency with respect to logistics management, compared to the existing one by reporting two round simulation results.

농촌체험의 관심과 체험이 증가되는 상황에서 농촌체험의 지속성과 경쟁력의 확보 차원으로 서비스품질이 중요해지고 있다. 이 연구는 농촌체험을 경험한 서울지역 소비자를 대상으로 서비스품질과 고객만족, 고객만족과 추천의도 간의 관계를 분석하였다. 설문분석은 총 234부이며, 빈도분석, 신뢰도분석, 확인적 요인분석, 가설검정을 하였다. 분석결과는 다음과 같다. 첫째, 신뢰도의 크론바흐 알파값은 0.6 이상, 타당도의 요인적재량은 0.7 이상, 평균분산추출은 0.5 이상이 었다. 둘째, 확인적 요인분석의 모형적합도는, CMIN/DF, GFI, TLI, CFI, RMSEA이 전반적으로 적합하였다. 셋째, 가설검정의 결과, H1의 H1-2(유형성)와 H1-3(응답성)을 제외한 H1-1(신뢰성), H1-4(확신성), H1-5(공감성)는 고객만족 에 긍정적인 영향을 주었고, H2는 고객만족이 추천의도에 긍정적인 영향을 주었다. 따라서 농촌체험의 서비스를 이용자와 제공자 간의 상호작용으로 볼 때, 서비스품질에 대한 지속적인 개선이 필요할 것이다.

This study investigated the hotel buffet restaurant`s service quality, emotional reaction of customer, recommendation intention, and defection intention. The survey was conducted from January 3 to February 7 in 2011, and 400 respondents were used in the data analysis. As a results of this study, the hotel buffet restaurant`s service quality was classified by the interaction, outcome, and physical environment quality. The emotional reaction of hotel buffet restaurant`s customer was classified by the positive and negative emotion. The all factors of hotel buffet restaurant`s service quality had a positive impact on positive emotion, while it had a negative impact on negative emotion. The positive emotion reaction of hotel buffet restaurant`s customer had a positive impact on the recommendation intention, while the negative emotion had a negative impact on the recommendation intention. And the negative emotion had a positive impact on the defection intention in hotel buffet restaurants. In addition, there were partially differences in the service quality and emotional reaction by general characteristics. There were significant differences in the recommendation intention by marriage status and monthly income. Therefore, the hotel buffet restaurants have to design a strategy of service for increasing customer`s positive emotion and recommendation intention.

본 연구는 다른 분야에서 성공적으로 활용되고 있는 다양한 추천 기법들을 비교하는 사례 연구를 통해 더욱 효과적인 디자인 개인화 서비스 개발의 기회를 모색하고자 하였다. 우선, 문헌연구를 통하여 '컨텐츠 기반 기법', '협력적 필터링 기법', 그리고 '인구통계적 필터링 기법'과 같은 대표적인 추천 기법들의 특징과 장단점을 고찰하였다. 다음으로 이러한 기법들이 디자인과 같은 컨텐츠를 대상으로 적용되었을 때 예상되는 추천 정확성을 분석하기 위해 실험을 실시하였다. 그 결과, 인구통계적 필터링 기법은 나머지 기법에 비해서 비교적 낮은 정확성을 보였으며 컨텐츠 기반 기법이 가장 좋은 높은 추천 정확성을 나타내었다. 아울러 협력적 필터링 기법은 참여자들의 수가 증가할수록 좀 더 높은 추천 정확성을 나타냄을 알 수 있었다. 결론적으로 디자인 추천 서비스는 컨텐츠 기반 기법이나 협력적 필터링 기법의 적용을 통해 그 추천 정확성을 향상시킬 수 있으며 대상 사용자의 수가 일정 수준 이상으로 증가된다면 협력적 필터링 기법이 가장 우수한 효율을 나타낼 가능성이 높음을 제시하였다.

To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. This paper deals with an intelligent agent approach to incorporate customer's sensibility into an one-to-one recommendation service in on-line

Recently, interest in rural tourism for urban dwellers has increased, and rural communities are chosen as tourist destinations. Under these circumstances, the study was designed to analyze the effects of the quality of service at rural stay sites on customer satisfaction and recommendation intention. The analysis method analyzes the demographic characteristics of the survey participants and characteristics of participation in rural stay. And the quality of service for the experience of rural stay was analyzed with SERVQUAL’S five-dimensional type, reliability, assurance, responsiveness, empathy, tangible and customer satisfaction, intent of recommendation and regression. Major analysis shows that the survey subjects were found to have an average age of 41.8 years, 49 to 59 years old, and a high degree of university graduation. And as characteristic of participation, the form of company was family and relatives, the form of family meeting was many summer, the reservation was Internet, and payment by cash and card were many. As a result of the hypothesis testing, reliability, assurance, responsiveness, and empathy among the quality of service of rural stay were affected in customer satisfaction. In addition, the quality of service and the intent to recommend it were statistically significant, reliability, assurance and empathy. Therefore, it is deemed necessary to make efforts to improve service quality as the quality of service at rural stay places has relevance to customer satisfaction and recommendation intention.