• 한국조리학회지
• /
• 제13권1호
• /
• pp.87-98
• /
• 2007

The purpose of this study was to understand purchasing behavior on sauce products and the credibility of advertisement in Busan. For the study, 240 of samples taking cooking courses at welfare centers and private institutes were selected. The questionnaire consisted of demographic characteristics, the practical situation of purchasing sauce products, and the credibility of mess media advertisements. 260 questionnaires were distributed, among which 240 were returned and 233 were used for statistical analysis. The result of the study was as followed. Considering the practical situation of purchasing, the samples took information about sauce products from discount markets, and TV advertisements. Purchasing sauce products was done by themselves, and the main reason that they didn't purchase was health. Seeing the credibility of mess media advertisements, they trusted "The recommendation of a familiar person" most, department stores were the second highest, and TV advertisement was the third. The statistical differences partly existed depending on demographic characteristics: job, and material status. Identifying the decision making factors on sauce products was needed as further study.

• 한국식생활문화학회지
• /
• 제17권5호
• /
• pp.605-618
• /
• 2002

The purposes of this research were to; (a) identify useful information source; (b) assess the usefulness of the Internet as an information source; and (c) assess the degree of Internet utilization for purchasing process in food service industry. The results were as follows; 1. 'personal experience and colleague recommendation' was perceived as the most useful information source, whereas the most frequently used source was 'Internet web site' for real purchasing practice. 2. the most frequently used purchasing activity through Internet was 'online ordering', followed by 'gathering product/component information', however e-marketplace or Internet bidding were less performed by Internet. 3. acquisition of real time information, rapidity, accuracy, and increasing effectiveness of purchasing process were reported the advantages of Internet utilization. 4. respondents somewhat or strongly agreed with the importance of Internet in terms of present and future purchasing management. The results of the research suggest that Internet should be able to improve purchasing process and enhance buyer-supplier relationship directly or indirectly, therefore food service industry should consider making attempt to new purchasing systems through Internet for strategic sourcing and effective procurement management.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권2호
• /
• pp.684-702
• /
• 2016

The changes new technologies have brought to banking over the past decade are enormous in their impact on the ways of doing business and providing customer services, most notably in the areas of customer service channels. Banks have been trying to move away from the traditional, branch-based and costly staff-assisted channels toward self-assisted channels, i.e. internet banking and mobile banking, to drive down costs and improve customer loyalty. How internet and mobile have reshaped the user experience of banking service channel? To provide valuable insights for this question, this research investigates and compares customer's channel choice behavior and profit changes from bank's branch closure. Applying the propensity scoring matching method, the results of analysis demonstrates that the mobile channel can be a realistic alternative to conventional branches. Also, the reserch result shows banks can reduce conventional branches while experiencing a positive implications on their profits from the customers. Another significant implication from the research is, to accelerate the shift to digital channels, banks need to put more efforts on developing functions in the mobile channel that will allow friendly interaction with customers and consultation, such as video consultation, interactive chat, and location-based product recommendation.

• 한국전자거래학회지
• /
• 제9권4호
• /
• pp.19-36
• /
• 2004

본 연구는 제품의 구매자와 수령자가 상이한 글로벌 협업 전자상거래를 구현하기 위한 비즈니스 모형 및 절차를 제안한다. 글로벌 협업 전자상거래를 수행하고자 하는 기업은 해당 기업의 소재 지역에만 지점을 보유하고 있으며 판매 및 물류 프로세스 협업을 통해 글로벌 판매를 수행하고자 한다. 해당 기업들은 교환 가능한 제품분류표를 공유함으로 인해 글로벌 협업 전자상거래를 수행할 수 있다. 이를 위해서는 기업들이 보유하고 있는 판매 제품과 교환판매가 가능한 제휴 기업의 제품을 찾아내기 위한 알고리즘이 필요하다. 본 연구에서는 제휴 기업간 교환 판매를 위해 교환 가능한 제품들을 찾아내기 위한 유사상품발견 알고리즘을 제안한다. 이 알고리즘은 제휴 기업들의 제품분류표에서 동일한 제품 군에 속해있는 제품들의 사양 값에 따라 효용 값을 계산하는 다기준 의사결정기법에 근거한다. 제안된 알고리즘에 근거한 글로벌 협업 전자상거래 모형을 활용하게 되면 기업들은 물리적 지점의 확장 없이 글로벌 판매를 수행할 수 있으며 고객은 자신의 거주 지역에서 구매한 제품을 다른 지역으로 저렴하게 배달시킬 수 있게 될 것이다.

• Asia Marketing Journal
• /
• 제17권4호
• /
• pp.43-61
• /
• 2016

This paper has identified some theoretical reasons and empirical evidence for negative scores that occur in Japan and Korea or unstable NPS scores that can be experienced. A psychological analysis of NPS results sheds light on the validity of the negative NPS scores that are often found in Japan and Korea. Usually customer experience surveys utilize a "single stimulus" such as the "company" or the "company's products / services." However, in the case of the "recommendation to friend" question of the NPS system there are two stimuli namely the "company product/service" and the influence of "friends." Hence, the survey outcomes from this question can be very different when compared with other single stimulus questions such as "overall satisfaction" or "repurchase." Japanese and Korean people may have a positive attitude towards the company but they will provide low NPS scores because they are reflecting that they would not run the risk of ruining their relationships with their friends by making a recommendation. As a result, in the NPS system these people will be labeled as "detractors" when in fact they are "ambivalent customers." Using several Japanese and Korean based marketing research industry examples and case studies, different strategies are proposed to address the issue of negative scores in the NPS system in Japan and Korea. The Customers Psyche appears to be the key determinant factors for both types of behavioural items (items with a single stimulus as well as items with two stimuli).

• 지능정보연구
• /
• 제13권4호
• /
• pp.45-63
• /
• 2007

유비쿼터스 환경에 기반한 시장, 즉 U-마켓에서는 고객이 제품을 구매함과 동시에 고객의 정보가 u-마켓 서버시스템에 저장되어 인터넷 쇼핑몰과 같이 다양한 분석과 활용이 가능하게 되었다. 물리적인 공간과 가상 공간이 결합된 유비쿼터스 기반의 시장 환경에서는 고객이 오프라인에서 다양한 매장을 방문하면서 쇼핑을 하게 되는데, 이때 여러 매장에 동일한 제품이 동시에 존재할 수 있으므로 매장의 위치, 매장 분위기, 제품의 품질이나 가격 등에 대한 고객의 선호도를 반영하여 고객 개개인에게 적절한 매장을 추천해야 할 필요성이 제기된다. 본 논문에서는 유비쿼터스 환경에 기반한 시장에서 고객의 쇼핑 상황을 고려하여 고객의 선호를 반영할 수 있는 매장 추천방법을 제안한다. 제안한 매장 추천방법은 협업 필터링과, Apriori 알고리즘을 기반으로 구성되어 있다. 온라인 쇼핑몰과는 다르게 U-마켓에서는 고객 개개인의 구매목록과 고객의 선호도를 반영한 매장 추천이 필요하며, 본 논문에서 제안하고 있는 매장 추천방법은 고객의 쇼핑경험을 극대화 하고 쇼핑 효율성을 제고시킬 뿐 아니라 장기적인 관점에서 매출증대를 통해 U-마켓 활성화에 기여할 수 있을 것으로 기대한다.

• 한국IT서비스학회지
• /
• 제21권2호
• /
• pp.109-126
• /
• 2022

The number and variety of products and services offered by companies have increased dramatically, providing customers with more choices to meet their needs. As a solution to this information overload problem, the provision of tailored services to individuals has become increasingly important, and the personalized recommender systems have been widely studied and used in both academia and industry. Existing recommender systems face important problems in practical applications. The most important problem is that it cannot clearly explain why it recommends these products. In recent years, some researchers have found that the explanation of recommender systems may be very useful. As a result, users are generally increasing conversion rates, satisfaction, and trust in the recommender system if it is explained why those particular items are recommended. Therefore, this study presents a methodology of providing an explanatory function of a recommender system using a review text left by a user. The basic idea is not to use all of the user's reviews, but to provide them in a summarized form using only reviews left by similar users or neighbors involved in recommending the item as an explanation when providing the recommended item to the user. To achieve this research goal, this study aims to provide a product recommendation list using user-based collaborative filtering techniques, combine reviews left by neighboring users with each product to build a model that combines text summary methods among deep learning-based natural language processing methods. Using the IMDb movie database, text reviews of all target user neighbors' movies are collected and summarized to present descriptions of recommended movies. There are several text summary methods, but this study aims to evaluate whether the review summary is well performed by training the Sequence-to-sequence+attention model, which is a representative generation summary method, and the BertSum model, which is an extraction summary model.

• 스마트미디어저널
• /
• 제10권1호
• /
• pp.116-123
• /
• 2021

온라인 패션 시장의 빠른 성장과 이로 인한 온라인 선택의 확대로 인해 소비자들은 더욱 개인화된 추천 서비스에 대해 요구가 커지고 있음에도 불구하고 판매자는 수많은 소비자를 개별적으로 직접 대응할 수 없다는 문제점이 있다. 소비자의 이러한 개인화 니즈를 충족시키는 방안으로 이미지에 대한 태깅이 이루어지고 있으나 사람이 태깅하는 경우 사람마다 태깅이 매우 주관적으로 이뤄지고 있고 인공지능 태깅은 단어가 매우 제한적으로 사용자의 니즈를 충족시켜주지 못하고 있다. 이러한 문제를 해결하기 위해 인공지능으로 이미지에 포함된 제품의 형태, 속성, 감성 정보를 인식하고 이러한 정보를 코드화하고 코드의 조합으로 그 이미지가 가지고 있는 모든 정보를 나타낼 수 있는 알고리즘을 설계하였다. 이 알고리즘을 통해서 지금까지 획득이 불가능했던 패션 이미지의 감성, 패션 이미지가 표현하는 TPO 정보 등 이미지가 가지고 있는 다양한 정보를 실시간으로 획득하는 것이 가능하게 되었다. 이러한 정보를 기반으로 소비자의 취향을 분석하는 단계에서 넘어가 소비자의 취향에 당시의 유행, TPO 정보까지 결합하는 초개인화된 의류 추천이 가능해진다.

• 한국산업정보학회논문지
• /
• 제27권6호
• /
• pp.1-12
• /
• 2022

음원 스트리밍 서비스와 Hi-Fi 시장이 성장함에 따라 다양한 음향기기들이 출시되고 있다. 이로 인해 소비자들의 제품 선택에 대한 폭은 넓어졌지만 자신의 음악적 취향과 일치하는 제품을 찾기는 더욱 어려워졌다. 본 연구에서는 사용자가 선호하는 음원으로부터 보컬 성분을 추출하고 이를 토대로 사용자에게 가장 적합한 음향기기를 추천하는 시스템을 제안하였다. 이를 위해 먼저 원본 음원을 Python의 Spleeter Library를 통해 분리하여 보컬 음원을 추출하고 제조사의 음향기기의 주파수 대역 데이터를 수집한 결과를 각각 격자 그래프로 나타내었다. 추출한 보컬 음원의 주파수 대역과 음향기기의 주파수 대역 측정치 데이터를 비교하기 위한 지표로서 Matching Gap Index(MGI)를 제안하였다. 산출된 MGI 값을 토대로 사용자 선호와의 유사도가 가장 높은 음향기기를 추천한다. 추천 결과는 음향 전문업체에서 제공하는 장르별 Equalizer 데이터를 이용하여 검증하였다.

• 유통과학연구
• /
• 제13권11호
• /
• pp.101-109
• /
• 2015

Purpose - A traditional retail market is a place that offers economic opportunity to employees and employers alike it also is a place where the community can meet. The Korean government has invested three trillion won to improve physical and non-physical aspects in traditional retail markets since 2004. However, little research on this has been conducted. We explore this research gap that could lead to theory extension. We analyze consumption behavior with respect to traditional retail markets through an empirical analysis, thus overcoming limits in previous research. We empirically analyze policy effects of traditional retail market projects supported by the Korean government. Research design, data, and methodology - We propose a traditional retail market improvement plan via the relation between cause and effect resulting from the analysis. More specifically, logit analysis was carried out with 1,754 consumers in 16 cities nationwide. In order to analyze consumer consumption behaviors nationwide, the probability was analyzed using a logit model. This research analyzes the link between support and non-support by the Korean government using binary values. The dependent variable is whether Korean government support is implemented; the binomial logistic regression is used as the statistical estimation technique. The object variables are:1 (support) or 0 (nonsupport), and the prediction value is between 1 and 0. As a result of the factor analysis of questions related to attributes of service quality, four factors were extracted: convenience, product, facilities, and service. Results - The results indicate that convenience, product, and facilities have a significant influence on consumer satisfaction in accordance with the government's traditional retail market support. Additionally, the results reveal that convenience, product, facilities, and service all have a significant influence on consumer satisfaction in a traditional retail market's service quality and consumer satisfaction. Finally, the analysis indicates that the highly satisfied traditional retail market customer has a significant influence on revisit intention. Moreover, the results reveal that the highly satisfied traditional retail market customer has a significant influence on recommendation intention. Conclusions - This research focused on consumers nationwide to measure policy effects of traditional retail markets compared to previous research that focused on one traditional retail market or a specific area. We verified the relationship of service quality and customer satisfaction and consumer behavior based on service quality theory. The results indicate that consumer satisfaction of traditional retail markets supported by service quality factors has a significant impact. In a concrete form, the results indicate that these effects are from facility modernization projects and marketing support projects of the Korean government. The results also imply that these facility and management support effects from the Korean government have been consistent. We realize that the Korean government has to selectively support traditional retail markets in major cities and small and medium-sized cities. To that end, the Korean government needs to select a concentration strategy for the revitalization of traditional retail markets.