• 한국융합학회논문지
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• 제8권4호
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• pp.1-8
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• 2017

현대 사회에서 패션 시장의 규모는 해외와 국내 모두 지속적으로 증가하고 있다. 전자상거래를 통해 상품을 구입하는 경우 다른 소비자들이 작성한 상품에 대한 평가 데이터는 소비자가 상품의 구입 여부를 결정하는데에 영향을 미친다. 기업의 입장에서도 상품에 대한 소비자의 평가 데이터를 분석하여 소비자의 피드백을 반영한다면 기업의 성과에 긍정적인 영향을 미칠 수 있다. 이에 본 논문에서는 아마존 패션 상품의 리뷰 데이터를 학습하여 형성된 워드임베딩 공간을 이용하여 사용자의 감성을 분석하는 모델을 구축하는 방법을 제안한다. 실험은 아마존 리뷰 데이터 570만건을 학습하여 형성된 워드임베딩 공간을 이용하여 긍정, 부정 리뷰 데이터의 개수에 따라 총 3개의 SVM 분류기 모델을 학습하는 방식으로 진행하였다. 실험 결과 긍정 리뷰 데이터 5만건, 부정 리뷰데이터 5만건을 이용하여 SVM 분류기를 학습하였을 때 88.0%로 가장 높은 정확도(accuracy)를 나타냈다.

• 한국의류학회지
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• 제40권6호
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• pp.994-1009
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• 2016

Applying the S-O-R Model within an online context, a hypothesized model incorporates three review characteristics (perceived concreteness, exaggeration, and sufficient quantity of reviews) for apparel products in order to present their impact on consumer perceptions of review usefulness and consumer attitude toward and patronage intent for the online stores hosting the reviews. An online survey of Korean women (N=299) reported their experiences in purchasing apparel products online and reading apparel reviews on a regular basis. Testing of the hypothesized model showed the usefulness of reviews were determined by two review characteristics (S: perceived concreteness and sufficient quantity of reviews); however, the negative effect of exaggerated reviews were insignificant. In addition, the perceived usefulness of reviews (O-cognitive) hosted by an online store influenced online store attitude (O-affective) which subsequently led to online store patronage intent (R). This study systemically advances online retail literature by showing how the characteristics of online reviews (as a part of the online store environment) can influence attitude toward online stores and patronage intent for online stores. Long term relationships with consumers can be achieved through the building of mechanisms to enhance the perceived usefulness of reviews by employing the strategies of hosting concrete reviews and offering a sufficient quantity of reviews. This study addresses removes research gaps by testing an adapted the S-O-R Model that frames review information as an element of an online store environment using a large sample.

• 경영과정보연구
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• 제22권
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• pp.85-115
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• 2007

Following is discovered in this study by some. First, attribute(product/non- product) of that truth that get through experiment of this study is WOM deduced result that have statistical meaning in dependent variable which is public trust only in this study. Specially, information by word of mouth type received High positive response more with non-product information by word of mouth attribute than the product attribute in all experiment products that is parted according to involvement. Consumer's response by involvement level of product can affect for site attitude, public trust, and intention to purchase by second. For example, consumer's site attitude has induced the most positive response, and can confirm positive response of High consumer most in that involvement sensitivity product in that participation reason type product and could confirm response that is the most positive in that involvement reason product even if there is for intention to purchase. Result of this study is grasped that have High mean value relatively in site attitude, product attitude, information by word of mouth effect, public trust, brand attitude, purchase intention etc. generally that product involvement and information by word of mouth attribute are interrelation by third. This can change fairly data processing process according to consumer's Involvement Level, behavior deterministic process, consumer's action with attitude formation process, and involvement for products. High occasion than is low incline more efforts in information retrieval and is discreet result such as study finding of produce.

• 한국시스템다이내믹스연구
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• 제13권4호
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• pp.33-55
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• 2012

The research is to identify important diffusion factors and their effects on green car diffusion process using system dynamics perspectives and a causal-loop analysis. Through a deep review on previous research, we have found the important factors of green car diffusion process. Price, driving range, network effect, recharge system, fuel cost had important facilitation on consumer attraction and green car diffusion. Based on the review, we have constructed a causal loop diagram explaining hybrid car diffusion process. We have found 3 important reinforcing loops in the causal loop diagram. Loop for learning & economies of scale(supply side), loop for network effect(consumer side), and loop for battery development(technology side) had most significant roles in the whole diffusion process. Through a deliberate analysis on the 3 causal loops, we have found meaningful results. First, there seems to exist a critical mass in the diffusion. Second, of the 3 loops, the battery technology had most significant role. Third, not consumer installed base but sales must be a standard to decide whether the critical mass is achieved or not. Based on these findings, several meaningful implications are suggested for the government and corporations related to the green car industries.

• 가정과삶의질연구
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• 제27권4호
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• pp.127-139
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• 2009

The purpose of this study was to develop a standardized scale to measure consume's impulse purchasing in internet shopping mall. As internet shopping is expanding rapidly, the consumer's impulse purchasing in the internet shopping is also increased. A preliminary 26-item scale was developed through a literature review. 1230 consumers responded to an online survey using the preliminary scale. This research was made with the intention of not only supplying the academic data on the consumer's impulse purchasing but also understanding the consume's basic behavior patterns in internet shopping mall. Then A series of tests, such as test-retest, item-to-total correlation, Cronbach's reliability coefficient and factor analysis, were conducted using the survey data. The final scale with 20-items was constructed in the end. The consume's impulse purchasing in internet shopping mall Scale for Consumers consisted of 4 factors.

• 대한가정학회지
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• 제42권1호
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• pp.17-37
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• 2004

The aim of this study is to analyze Internet homepages of Korean companies. This study especially concentrates on consumer information and communication on a company Internet homepage. The method of this study is to review a company internet homepage. Main findings are as follows. 1) Consumer information is classified into product, living, study, law and regulation related to product, consumer's product evaluation, consumer education, A/S, company info. about branch stores, financial data, webzine and entertainment. 2) Communication type is classified into B2C and C2C, but Korean company concentrates on B2C communication channel.

• 식품보건융합연구
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• 제10권2호
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• pp.1-5
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• 2024

This study aims to investigate the impact of character collaboration product characteristics on brand awareness and purchase intention within the food and beverage (F&B) industry, with a special focus on Generation MZ's growing interest in such products. The methodology involves a comprehensive review of existing literature on character marketing, brand awareness, and consumer purchase intention, supplemented by case studies of successful character collaborations in the F&B sector. The findings reveal that character collaborations significantly impact brand awareness and purchase intentions, particularly among younger consumers like Generation MZ. These collaborations not only rekindle nostalgia but also introduce new and exciting consumer experiences, effectively attracting a wide demographic. The success of character-themed products, from Pokémon bread to Coca-Cola's League of Legends collaboration, underscores the strategy's effectiveness in boosting brand recognition and consumer engagement. The implications of this research are manifold for the F&B industry. Firstly, it highlights the importance of leveraging popular characters to forge emotional connections with consumers. Secondly, it suggests that product development should closely align with consumer preferences and market trends to maximize appeal. Lastly, it positions character collaboration as a strategic marketing tool that not only enhances product sales but also strengthens brand loyalty and facilitates sustained brand growth.

• 대한가정학회지
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• 제40권2호
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• pp.143-159
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• 2002

Consumer Education Policy for -Focusing on developing Social support System- The purpose of this research is to understand the change of future consuming environment and the characteristics of future potential consumer: the net generations. With those research results, we deduced our goal, content and method of consumer education for these net generations. Finally, I suggested a scheme of the social construction by demand of our future society. Literature review and depth interview are used for this research. The main factors of the change of our future consuming environment are Digitalization, globalization, improvement of consumer sovereignty, Sustainable consumption culture, the increasing pursuit of safe life. It is necessary to educate our future consumer, net generations, the information searching skills in order to be able to obtain right information. We also need to educate them how to practice the safe life and Sustainable consumption and how to get consumers sovereignty. The method of the education requires interchangeable communication. We need social networking system for the support of consumer education, in order to build this social system. We need an administrative support from the government and financial support from corporations. We have suggested that it is very desirable to share all the information developed among Academic field, Consumer related organizations and schools by this network be build.

• 경영정보학연구
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• 제25권1호
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• pp.27-46
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• 2023

최근에는 외식 산업의 발달과 레스토랑 수요의 증가로 인해 레스토랑 추천 시스템 연구가 활발하게 제안되고 있다. 기존 레스토랑 추천 시스템 연구는 정량적인 평점 정보 또는 온라인 리뷰의 감성분석을 통해 소비자의 선호도 정보를 추출하였는데 이는 소비자의 의미론적 선호도 정보는 반영하지 못한다는 한계가 존재한다. 또한, 레스토랑이 포함하는 세부적인 속성을 반영한 추천 시스템 연구는 부족한 실정이다. 이를 해결하기 위해 본 연구에서는 소비자의 선호도와 레스토랑 속성 간의 상호작용을 효과적으로 학습할 수 있는 딥러닝 기반 모델을 제안하였다. 먼저, 합성곱 신경망을 온라인 리뷰에 적용하여 소비자의 의미론적 선호도 정보를 추출했고, 레스토랑 정보에 임베딩 기법을 적용하여 레스토랑의 세부적인 속성을 추출했다. 최종적으로 요소별 연산을 통해 소비자 선호도와 레스토랑 속성 간의 상호작용을 학습하여 소비자의 선호도 평점을 예측했다. 본 연구에서 제안한 모델의 추천 성능을 평가하기 위해 Yelp.com의 온라인 리뷰를 사용한 실험 결과, 기존 연구의 다양한 모델과 비교했을때 본 연구의 제안 모델이 우수한 추천 성능을 보이는 것을 확인하였다. 본 연구는 레스토랑 산업의 빅데이터를 활용한 맞춤형 레스토랑 추천 시스템을 제안함으로써 레스토랑 연구 분야와 온라인 서비스 제공자에게 학술적 및 실무적 측면에서 다양한 시사점을 제공할 수 있을 것으로 기대한다.

• 경영과정보연구
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• 제16권
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• pp.95-115
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• 2005

Although advertising plays an important role of information source for consumer, also advertising affect negative influence to the consumer and social system. Under the such a concept, this study reviewed the social responsibility of advertising and the freedom of expression including the foreign country's advertising regulation system as the theoretical background of advertising regulation. In addition, this study analyzed the case of the advertisement reviews by Korea Advertising Review Board(august 1, 2000, the business concerning prior deliberation of broadcast advertisements was entrusted to the Korea Advertising Review Board, a civilian self-regulatory body, by the Korean Broadcasting Commission) and Fare Trade Commission. As the result of data analysis, some problems of regulation system and codes are suggested and discussed as follows: (1) the high ratio of rejection (2) using the unnecessary foreign language (3) inconsistency application of deliberation standard.