• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.175-185
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• 2020

Mobile shopping has been settled down as one of the general shopping methods, good enough to be called new normal today. Contrary to the initial stage for researching the shopping in online environment, the factors more important today must be changed quite a lot. Thus, this study aimed to select the service quality factors regarded as important in mobile shopping, to examine their effects on consumers' rational-emotional evaluation, and also to understand a series of influence relations led to the purchase intention and word of mouth effect in the future, and then obtained the significant results. In the results of this study, only the Personalization and responsiveness of service quality had positive(+) effects on the consumer sentiment, and the consumer sentiment had positive(+) effects on the consumer behavior. Such results verified that the Personalization and responsiveness would be important factors to consumers. Also, when the consumer satisfaction is high, the consumer behavior would be positive too.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.295-311
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• 2023

Purpose - This study investigates how review length and sentiment impact consumers' purchase intentions, using real online reviews as the data source. The study aims to understand how the length and tone of a review affect a potential buyer's decision-making process when considering a purchase. Design/methodology/approach - A 2 (comment length: long vs. short) × 2 (comment sentiment: positive vs. negative) × 2 (product type: practical vs. hedonic) experiment was conducted. Findings - Results indicate that longer reviews have a greater impact on consumers' perceived usefulness compared to short reviews, but do not affect purchase intentions. Review sentiment is found to have a stronger impact than review length, especially for negative sentiment. The study also suggests that consumers pay more attention to reviews of practical products, and that reviews have less influence on hedonic products. Research implications or Originality - The implications of these findings are relevant for both merchants managing reviews and consumers reviewing products.The results of this research could help businesses and marketers optimize their online review strategies to maximize their impact on consumer behavior.

• Journal of Distribution Science
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• v.21 no.7
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• pp.91-104
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• 2023

Purpose: In the past decade, Scholars, think tanks, and policymakers have had rich discussions about omnichannel distribution science. However, despite the growing body of research in this area, there is currently no universally accepted definition of what exactly an "omnichannel consumer" consists of and what the most relevant drivers are. This study aims to synthesize the empirical evidence surrounding omni-channel consumer research and its management. Additionally, we demonstrate how omnichannel consumer research has emerged from different theoretical perspectives and disciplines. Research design, data and methodology: Using the Systematic Literature Review method and searching the CNKI, Web of Science, and Scopus databases for 130 articles, the study analyzed the current state of omnichannel consumer research and categorized and summarized the findings in the literature. Results: This study analyzes the current state of omnichannel consumer research and categorizes the findings in the literature and identifies four research areas: consumer behavior, consumer experience, consumer sentiment dimensions, and consumer segmentation. Conclusions: This literature review offers the first comprehensive and systematic overview of "Chinese omnichannel consumers." It not only highlights the most critical research trends discussed in existing studies, but also outlines the expected direction of future research, which provides the basis for understanding omnichannel consumer research.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.81-89
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• 2020

Online reviews we encounter commonly on SNS, although a complex range of assessment information affecting the consumer's preferences are included, it is general that such information is just provided by simple numbers or star ratings. Based on those review types, it is not easy to get specific information that consumers want and use it to make a decision for purchase. Therefore, in this study, we propose a prediction methodology that can provide ratings broken down by evaluation items by performing sentiment analysis on restaurant reviews written in Korean. To this end, we select 'food', 'price', 'service', and 'atmosphere' as the main evaluation items of restaurants, and build a new sentiment dictionary for each evaluation item. It also classifies review sentences by rating item, predicts granular ratings through sentiment analysis, and provides additional information that consumers can use to make decisions. Finally, using MAE and RMSE as evaluation indicators it shows that the rating prediction accuracy of the proposed methodology has been improved than previous studies and presents the use case of proposed methodology.

• Journal of Korea Game Society
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• v.16 no.3
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• pp.77-86
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• 2016

As the focus of game market moves to mobile era, payment on cyber money, specifically for Gacha system, possesses a large portion for creating profit in game industry. For this reason, this study mainly focuses on Puzzle and Dragon, the mobile game of Gungho online entertainment in Japan, which has made enormous profit for several years. The analysis on consumer sentiment for Gacha are categorized as below: (1) gambling mentality and cognitive error in stochastic game in God festival (2) reactional psychology for scarcity message in limited time God festival and collaboration (3) personal satisfaction through friend system and character collection.

• The Research Journal of the Costume Culture
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• v.32 no.1
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• pp.38-57
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• 2024

This study utilizes social big data to investigate the factors influencing the awareness, attitude, and behavior toward vegan fashion consumption among global and Korean consumers. Social media posts containing the keyword "vegan fashion" were gathered, and meaningful discourse patterns were identified using semantic network analysis and sentiment analysis. The study revealed that diverse factors guide the purchase of vegan fashion products within global consumer groups, while among Korean consumers, the predominant discourse involved the concepts of veganism and ethics, indicating a heightened awareness of vegan fashion. The research then delved into the factors underpinning awareness (comprehension of animal exploitation, environmental concerns, and alternative materials), attitudes (both positive and negative), and behaviors (exploration, rejection, advocacy, purchase decisions, recommendations, utilization, and disposal). Global consumers placed great significance on product-related information, whereas Korean consumers prioritized ethical integrity and reasonable pricing. In addition, environmental issues stemming from synthetic fibers emerged as a significant factor influencing the awareness, attitude, and behavior regarding vegan fashion consumption. Further, this study confirmed the potential presence of cultural disparities influencing overall awareness, attitude, and behavior concerning the acceptance of vegan fashion, and offers insights into vegan fashion marketing strategies tailored to specific cultures, aiming to provide vegan fashion companies and brands with a deeper understanding of their consumer base.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1335-1351
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• 2015

In order to effectively understand the perception of businesses and consumers, the Bank of Korea has released Economic Sentiment Index (ESI), a composite indicator of business survey index (BSI) and consumer survey index (CSI), since 2102. The usefulness of ESI has been widely recognized. However, there exists a margin for improvement in terms of its predictive power. In this study, we evaluated the usefulness of ESI and improved the ESI by complementing its defaults. Our results of empirical analysis proved that dynamic optimal weight navigation process using the sliding window method is very useful in determining the optimal weights of configurations item of ESI based on economic situation.

• Journal of the Korea Society of Computer and Information
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• v.29 no.10
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• pp.11-19
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• 2024

Online and mobile reviews strongly influence consumer behavior, especially in the service industry, and play a key role in determining customer retention and revisit rates. Systematically analyzing the information in these reviews can effectively assess how they directly influence customers' purchase decisions. In this study, we applied the existing KNU sentiment dictionary to food and beverage (F&B) review data to build a customized sentiment lexicon using N-grams based on about 10,000 reviews. Comparing its performance with the existing dictionary, we found that the sentiment lexicon generated using the 1-gram, 2-gram, and 3-gram models had the highest accuracy, precision, recall, and F1 scores. These results can serve as a powerful business support tool for SMEs in the F&B and grocery shopping sector, also be used to predict customer demand for technology and policy.

• Journal of Distribution Science
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• v.19 no.10
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• pp.87-97
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• 2021

Purpose: Compared with the past when Japanese retailers used to hesitate to open their shops in the Korean market, because of anti-Japan sentiment, they show confidence in Korea in recent. This study, thus, aims at examining how socio-demographic factors have an impact on customer attitudes towards a Japanese retailer as a shopping destination. Research design, data, and methodology: After the literature review process, the authors have developed a variety of questions to verify the relationship amongst the variables like nationalism, consumer ethnocentrism, war animosity, store country-of-origin and anti-Japan sentiment. Furthermore, after collected questionnaires, the authors used confirmative factor analysis (CFA), T test and linear regression analysis to verify the 25 hypotheses developed. Results: Except for a household size element, it is found that gender, age, education and income levels are related to the degree of nationalism, ethnocentrism, war animosity, store country-of-origin and anti-Japan sentiment. In other words, socio-economic elements influenced Korean customer attitudes towards Japanese retailers. Conclusions: Korean customers tend to show different shopping attitudes towards the Japanese retailers, depending on the characteristics of socio-demographic elements. Furthermore, changing socio-demographic factors will provide positive business opportunities for Japanese retailers in the future.

• The Research Journal of the Costume Culture
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• v.28 no.2
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• pp.265-284
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• 2020

This study aimed to analyze the performance of Disney-collaborated fashion lines based on online consumer reviews. To do so, the researchers employed text mining and network analysis to identify key words in the reviews of these products. Blogs, internet cafes, and web documents provided by Naver, Daum, and YoutTube were selected as subjects for the analysis. The analysis period was limited to one year after for the 2019. Data collection and analysis were conducted using Python 3.7, Textom, and NodeXL. The research terms in question were as follows: 'Disney fashion collaboration' and 'Frozen fashion collaboration'. Preliminary survey results indicated that 'Elsa's dress' was the most frequently mentioned term and that the domestic fashion brand Eland Retail was the most active in selling Disney branded clothing through its own brand. The writers of reviews for Disney-collaborated fashion products were primarily mothers with daughters. Their decision to purchase these products was based upon the following factors; price, size, stability of decoration, shipping, laundry, and retailer. The motives for purchasing the product were the positive response of the consumer's child and the satisfaction of the parents due to the child's response. The problems to be solved included insufficient quantity of supply, delay in delivery, expensive price considering the number of times children's clothes are worn, poor glitter decoration, faded color, contamination from laundry, and undesirable smells immediately after the purchase.