• 제목/요약/키워드: consumer review

검색결과 989건 처리시간 0.031초

이요인 이론 기반 텍스트 마이닝을 통한 한·중 스마트홈 앱 서비스 사용자 평가 차이에 대한 연구: 신뢰성 중심 (A Study on the Evaluation Differences of Korean and Chinese Users in Smart Home App Services through Text Mining based on the Two-Factor Theory: Focus on Trustness)

  • 조욱녕;임규건
    • 한국IT서비스학회지
    • /
    • 제22권3호
    • /
    • pp.141-165
    • /
    • 2023
  • With the advent of the fourth industrial revolution, technologies such as the Internet of Things, artificial intelligence and cloud computing are developing rapidly, and smart homes enabled by these technologies are rapidly gaining popularity. To gain a competitive advantage in the global market, companies must understand the differences in consumer needs in different countries and cultures and develop corresponding business strategies. Therefore, this study conducts a comparative analysis of consumer reviews of smart homes in South Korea and China. This study collected online reviews of SmartThings, ThinQ, Msmarthom, and MiHome, the four most commonly used smart home apps in Korea and China. The collected review data is divided into satisfied reviews and dissatisfied reviews according to the ratings, and topics are extracted for each review dataset using LDA topic modeling. Next, the extracted topics are classified according to five evaluation factors of Perceived Usefulness, Reachability, Interoperability,Trustness, and Product Brand proposed by previous studies. Then, by comparing the importance of each evaluation factor in the two datasets of satisfaction and dissatisfaction, we find out the factors that affect consumer satisfaction and dissatisfaction, and compare the differences between users in Korea and China. We found Trustness and Reachability are very important factors. Finally, through language network analysis, the relationship between dissatisfied factors is analyzed from a more microscopic level, and improvement plans are proposed to the companies according to the analysis results.

유통점의 배경음악에 관한 연구 (Study on Background Music of Distributors)

  • 이준표;황희중
    • 유통과학연구
    • /
    • 제17권9호
    • /
    • pp.127-131
    • /
    • 2019
  • Purpose - This study focuses on clues that can clearly amplify the effects of background music. Review which store environments have a direct and positive impact on consumer responses, such as purchases. Research design, data, and methodology - This study focuses on clues that can clearly amplify the effects of background music. The purpose of this study is to examine what kind of store environment, combined with background music, has a direct and positive effect on consumer reactions such as purchase, and suggest future research directions. Results - The manager decides to use background music in the store because it is relatively inexpensive and easy to identify the emotional response of the consumer. In addition, appropriate background music lowers the psychological purchasing barriers of consumers. Previous studies have often not conducted a basic review of whether consumers perceive background music when it is used in retail stores. For example, it is necessary to make sure that the volume of the background music is loud enough and that the noise is properly excluded despite the congestion of the store so that the pure influence of the background music on the consumer can be measured. A way for store managers to clarify and differentiate their identity is to create a unique and satisfying store atmosphere for their customers. In order to help customers focus on their purchases, store managers must use marketing elements to integrate the five senses. And they should plan background music aiming at synergy effect of these five senses. In other words, in order to make the store atmosphere positive, it is not enough to have a suitable visual design interior or background music in the store, and consumers should have the opportunity to smell, taste and touch it directly. Conclusions - In conclusion, we hope that the following issues will be studied by several scholars in the future. It should be clarified that the impact of background music on customers varies depending on the customer's movement in the store, the selection of the background music genre order, and the timing (interval) of background music exposure to the customer.

제품관여(製品關輿)가 소비자(消費者) 과정(過程)에 미치는 영향(影響) (The Effect of Product Involvement on Consumer Purchase Process)

  • 정문영
    • 산학경영연구
    • /
    • 제11권
    • /
    • pp.101-122
    • /
    • 1998
  • 이 연구는 다차원적 관점에 따라 개발된 관여척도를 적용하여 제품관여가 소비자 구매과정에 미치는 영향을 분석하였다. 실증자료 분석결과, 제품별 분석에서 보다 소비자별 분석에서 '구매전 정보탐색'을 비롯한 구매과정의 행동성향이 관여수준에 더 강하게 의존되는 것으로 나타났다. 이는 관여수준이 소비자선택행동의 변화를 설명해주는 구조물이며, 제품관여는 소비자가 제품에 관련되는 정도를 반영하는 변수로 인식되어야 함을 시사한다. 동시에, 관여가 소비자행동에 미치는 영향의 이해와 예언에는 관여수준과 함께 관여의 관저에 대한 이해가 필요하다는 시사를 얻었다.

  • PDF

The Role of Processing Fluency in Product Innovativeness Judgment

  • Cho, Hyejeung
    • Asia Marketing Journal
    • /
    • 제15권3호
    • /
    • pp.31-52
    • /
    • 2013
  • The metacognitive experience of the ease or difficulty with which new, external information can be processed, referred to as 'processing fluency,' has been shown to influence a wide range of human judgments including truth judgments, familiarity judgments, risk perception, evaluation, and preference (see Alter and Oppenheimer 2009 for a review). The current research explores the possibility of a consumer's product innovativeness judgment based on the difficulty of processing new information. In specific, this study examines if the inferential link between (dis)fluency-(un)familiarity can feed into the perception of innovativeness. This study also explores how a consumer's processing motivation can moderate the consumer's reliance on processing fluency in judgments and how the influence of fluency can vary depending on judgment task orders. In an experiment, participants rated a new product's innovativeness and then indicated their product attitude (or vice versa depending on the judgment task order condition) after reading a product review article that was printed in either an easy-to-read or a difficult-to-read font (for fluency manipulation). The findings show that low need for cognition individuals infer higher product innovativeness when processing product information is difficult rather than easy, consistent with the common assumption that 'new information is more difficult to process than familiar information.' The findings also suggest that once low fluency is attributed to innovativeness, it may no longer lead to a negative response to the product. High need for cognition individuals' judgments on product innovativeness are not affected by fluency. The findings also demonstrate a judgment task order effect on the use of fluency in judgments (e.g., Xu and Schwarz 2005). This study provides the first evidence that an individual's fluency experience can be used as a source of information in product innovativeness judgments especially under low processing motivation conditions. The findings can help marketers better understand the malleability of consumer judgments and perceptions of product characteristics (e.g., product innovativeness) by demonstrating an interesting interplay of processing fluency, processing motivation, and judgment task-related contextual factors.

  • PDF

리뷰(review)경험고객이 평가할 수 있는 리뷰 평가방법: 인터넷사용시간, 구매빈도, 관심정도를 중심으로 (Evaluation method of Reviews by the Experienced Review)

  • 심완섭
    • 한국산학경영학회:학술대회논문집
    • /
    • 한국산학경영학회 2006년도 추계학술발표대회 발표논문집
    • /
    • pp.77-91
    • /
    • 2006
  • With a rapid growth of the internet shopping mall consumer according to popularization of the internet, it is possible for the general public to get information covering a wide range a wide range go easily and companies attempt to apply review a new marketing means. The present paper aims to research investigated the Evaluation method of Reviews by the Experienced Review. In order to achieve the purpose of this study, carried out literature study of a related field. Through these methods, we were able to obtain participation of 166 people from student a college woman. Using 149 responses derived statistics by means of Win SPSS Version 12.0 statistics program package. The analysis results are the on-line customer review is composed of four dimensions that is expertise factor, trustworthiness factor and usefulness factor, evaluation factor.

  • PDF

The Impact of Topic Distribution on Review Sentiment: A Comparative Study between South Korea and the U.S.

  • Cho, Mina;Hwang, Dugmee;Jeon, Seongmin
    • 한국벤처창업학회:학술대회논문집
    • /
    • 한국벤처창업학회 2022년도 춘계학술대회
    • /
    • pp.123-126
    • /
    • 2022
  • Online reviews offer valuable information to businesses by reflecting consumer experiences about their products and services. Two important aspects of online reviews are first, the topics consumers choose to address and second, the sentiments expressed in their reviews. Building upon previous literature that shows online reviews are context-dependent, we examine the impact of topic distribution on review sentiment in South Korea and the U.S. during pre-and post-pandemic periods. After performing topic modeling on Airbnb app review data, we measure the contribution of each topic on review sentiment using SHAP values. Our results indicate variations in topic distribution trends between 2018 and 2021. Also, the order and magnitude of topics' impact on review sentiment change between pre-and post-pandemic periods for both countries. This study can help businesses to understand how topics and sentiments associated with their products and services changed after pandemic, and also help them identify areas of improvement.

  • PDF

Impact of Topic Distribution on Review Sentiment: A Comparative Study between South Korea and the U.S.

  • Mina Cho;Dugmee Hwang;SeongMin Jeon
    • Asia pacific journal of information systems
    • /
    • 제32권3호
    • /
    • pp.514-536
    • /
    • 2022
  • Online reviews offer valuable information to businesses by reflecting consumer experiences about their products and services. Two crucial aspects of online reviews are the topics consumers choose to address, and the sentiments expressed in their reviews. Building upon previous literature that shows online reviews are context-dependent, we employ the Expectation-Confirmation Theory (ECT) to examine the impact of topic distribution on review sentiment in South Korea and the U.S. during pre- and post-pandemic periods. After applying a topic modeling to Airbnb app review data, we measure the contribution of each topic on review sentiment using SHAP values. Our results indicate variations in topic distribution trends between 2018 and 2021. In addition, the order and magnitude of topics' impact on review sentiment change between pre- and post-pandemic periods for both countries. This study can help businesses understand how topics and sentiments associated with their products and services changed after the pandemic and thus identify areas of improvement.

HMR 상품의 선택속성이 1인 가구의 소비자 구매의도에 미치는 영향 - 소비자 온라인 리뷰의 조절효과 중심으로 - (The Effect of Selection Attribute of HMR Product on the Consumer Purchasing Intention of an Single Household - Centered on the Regulation Effect of Consumer Online Reviews -)

  • 김희연
    • 한국조리학회지
    • /
    • 제22권8호
    • /
    • pp.109-121
    • /
    • 2016
  • This study analyzed the effect of five sub-variables' attribute of HMR: features of information, diversity, promptness, price and convenience, on the consumer purchasing intention. In addition, the regulation effect of positive reviews and negative reviews of consumers' online reviews between HMR selection attribute and purchasing intention was also tested. Results are following. First, convenience feature (B=.577, p<.001) and diversity feature (B=.093, p<.01) among the effect of HMR selection attribute had a positive (+) effect on purchasing intention. On the other hand, promptness feature (B=.235, p<.001) and price feature (B=.161, p<.001), and information feature (B=.288, p<.001) were not significant effect on purchasing intention. Second, result of regulation effect of the positive reviews of consumer's online review between the selection attribute of the HMR product and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product is input as an independent variable, there was a significant positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In addition, there was significant positive (+) main effect (B=.472, p<.001) in the second step model in which the consumers' positive reviews, that is a regulation variable. Furthermore, the feature of price (B=.068, p<.05) had a significant positive (+) effect in the third stage in which the selection attribute of the HMR product that is an independent variable and the interaction of the positive review. However, the feature of information (B=-.063, p<.05) showed negative (-) effect, and there was no effect on the features of convenience, diversity, and promptness. Third, as a result of testing the regulation effect of the negative reviews of consumers' online reviews between HMR product selection attribute and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product was a positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In the second-stage model in which consumers' negative reviews (B=-.113, p<.001) had negative (-) effect. In the third-stage in which the selection attribute of the HMR product and the interactions of the negative reviews was a positive (+) effect with the feature of price (B=.113, p<.01). Last, there was no effect at all on the features of convenience, promptness, and information.

딥러닝 기반 온라인 리뷰를 활용한 추천 모델 개발: 레스토랑 산업을 중심으로 (Developing a deep learning-based recommendation model using online reviews for predicting consumer preferences: Evidence from the restaurant industry)

  • 김동언;장동수;엄금철;이가은
    • 지능정보연구
    • /
    • 제29권4호
    • /
    • pp.31-49
    • /
    • 2023
  • 레스토랑 산업의 성장과 함께 레스토랑 오프라인 매장 수는 점차 증가하지만, 소비자는 자신의 선호도에 적합한 레스토랑을 선택하는 데 어려움을 경험하고 있다. 따라서 소비자의 선호도에 맞는 레스토랑을 추천하는 개인화된 추천 서비스의 필요성이 대두하고 있다. 기존 연구에서는 설문조사 및 평점 정보를 활용하여 소비자 선호도를 조사했으나, 이는 소비자의 구체적인 선호도를 효과적으로 반영하는데 어려움이 존재한다. 이러한 배경하에 온라인 리뷰는 방문 동기, 음식 평가 등 레스토랑에 대한 소비자 구체적인 선호도를 효과적으로 반영하기 때문에 필수적인 정보이다. 한편, 일부 연구에서는 리뷰 텍스트에 전통적인 기계학습 기법을 적용하여 소비자의 선호도를 측정하였다. 그러나 이러한 접근 방식은 주변 단어나 맥락을 고려하지 못하는 한계점이 존재한다. 따라서 본 연구는 딥러닝을 효과적으로 활용하여 온라인 리뷰에서 소비자의 선호도를 정교하게 추출하는 리뷰 텍스트 기반 레스토랑 추천 모델을 제안한다. 본 연구에서 제안된 모델은 추출된 높은 수준의 의미론적 표현과 소비자-레스토랑 상호작용을 연결하여 소비자의 선호도를 정확하고 효과적으로 예측한다. 실험 결과에 따르면 본 연구에서 제안된 추천 모델은 기존 연구에서 제안된 여러 모델에 비해 우수한 추천 성능을 보이는 것으로 나타났다.

A Study of Online Reviews Affecting Non-Face-to-Face Shopping

  • LYU, Moon Sang
    • 산경연구논집
    • /
    • 제14권1호
    • /
    • pp.67-74
    • /
    • 2023
  • Purpose: This study aims to investigate how the online review usefulness affect consumers' shopping behavior in non-face-to-face shopping, which is now very common format of shopping environment after COVID-19 pandemic. Factors influencing online reviews were determined as quantity of review, agreement of review and characteristic of review based on research by existing researchers. Research design, data, and methodology: Customers in their teens to 60s who had experience of checking online reviews and purchasing products were surveyed using a Google questionnaire form from January 15, 2022 to February 19, 2022. To verify the validity and reliability of the research model, confirmatory factor analysis and discriminant validity analysis were conducted. In addition, the causal relationship between factors was verified through path analysis. Results: As a result, quantity of review and agreement of review had a statistically significant effect on review usefulness. However, characteristic of review did not have a statistically significant influence on review usefulness. And review usefulness had a statistically significant effect on attitude and purchase intention. Conclusions: This study investigated the factors affecting usefulness of online reviews and empirically analyzed the effects of online reviews on consumer attitudes and purchase intentions providing practical and theoretical implications for corporate online review management.