• 한국유통학회지:유통연구
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• 제9권1호
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• pp.25-45
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• 2004

본 연구에서는 제품구매과정의 각 단계에서 발생되는 거래비용이 온라인과 오프라인 구매에서 어떻게 다른지를 살펴보기 위하여 제품유형, 구매의사결정단계, 그리고 거래비용을 연계하는 모형을 통합적으로 제시하였다. 구체적으로, 구매의사결정의 각 단계에서 발생하는 거래비용에 기초하여, 소비자가 인지하게 되는 오프라인과 온라인에서의 거래비용의 차이를 살펴보고, 그 차이가 제품유형에 따라 다르다는 것을 비교하였다. 제품구매단계별 거래비용으로는 탐색비용, 비교비용, 제품성능에 대한 위험비용, 그리고 구매 후 서비스 위험비용을 고려하였으며 온오프라인구매의 거래비용 차이를 제품유형별로 분석하기 위하여 FCB 틀에서 제시하는 4가지 제품유형을 도입하였다. 연구결과, 총 24개의 가설 중 19개가 채택되어 온라인과 오프라인 구매의 거래비용의 차이와 제품유형에 따는 차이에 대한 가설이 대부분 지지되는 것으로 나타났다. 반면, 기각된 가설 중 4개는 비유의적이었으며 1개만이 가설과 반대되는 결과를 보였다.

• 감성과학
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• 제8권2호
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• pp.103-115
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• 2005

본 연구는 심미적 영향요소 중 하나인 단순/복잡이 과연 선호도에 어떠한 영향을 주고 다른 심미적 차원들과 어떠한 관계를 갖는지를 정립하기 위한 기초연구로 진행되었다. 이에 따라, 본 연구는 단순/복잡, 균형 그리고 선호도를 가지고 진행하였다. 본 연구는 근본적인 질문으로부터 시작하였다. 첫째, 심미적 차원 중 하나인 단순/복잡이 다른 요소인 균형과의 관계. 둘째, 심미적 영향요소인 단순/복잡 그리고 균형과 선호도와의 관계를 알아보는데 그 목적이 있다. 이를 위해 제품들을 범주화하고 각 범주별 제품들을 대상으로 실험하여 범주별 성향을 찾고 이를 기본으로 디자인 프로세스에 적용하여 검증하도록 한다.

• 한국정보시스템학회지:정보시스템연구
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• 제24권4호
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• pp.99-116
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• 2015

Purpose One of the main characteristics of Social Network Service(SNS) is that users in an open space makes posts through voluntary participation and sharing among them. This makes SNS a very attractive channel to companies that need to send their messages to consumers. As a matter of fact, there are many companies doing marketing activities through a platform of Fan Page as a space for corporations and consumers to act together. This study defines the values and types of companies' advertising posts on Facebook, empirically analyzes the results of them, and investigates factors that could enhance the customer engagement. Design/methodology/approach A research model was built to demonstrate which values and types of posts were combined by corporations' posts on Facebook and create their messages and which of those combinations would lead to high results of customer engagement. Findings The results show differences in the values of posts between the group of high customer engagement and the other group on Facebook. This study makes its contribution by conducting elaborate analysis of posts on Facebook and thus proposing marketing strategies that companies, which had difficulties with systematic marketing activities due to cost limitations, could use on Facebook.

• 유통과학연구
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• 제15권4호
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.