• Title/Summary/Keyword: Consumer attention

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The Development of Heuristics for Voice Shopping Service through Voice Interface with Display (디스플레이 탑재형 음성 인터페이스를 통한 음성쇼핑 서비스 휴리스틱 개발)

  • Gwon, Hyeon Jeong;Lee, Jee Yeon
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.1-33
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    • 2022
  • Voice shopping is gaining attention following the trend of non-contact E-commerce by enabling people to shop via voice command. Therefore, in this study, voice shopping service heuristics using a display-mounted voice interface were developed in preparation for the future where voice shopping becomes a part of daily life in the world. First, as a theoretical approach, a literature survey of 50 papers on the design principles of 'visual interface,' 'voice interface,' and 'shopping service' was conducted to produce a total of 29 draft design principles. Second, as an empirical approach, a focus group interview was conducted on consumer decision-making processes in shopping experiences and information-seeking behavior within the context of shopping to draft the heuristics. This was to supplement the user experience, a weak part of the literature research. Finally, a Delphi survey asked 20 experts in UX, service planning, artificial intelligence development, and shopping to evaluate the heuristics draft developed through the above two stages. After three rounds of Delphi surveys, the final heuristics were proposed.

The Effects of Characteristics of Live Commerce on Consumer Attachment Formation and Behavior Intention - A Socio-technical Systems Perspective - (라이브 커머스의 특성이 소비자의 애착 형성과 행동 의도에 미치는 영향 - 사회-기술 시스템론적 관점을 중심으로 -)

  • Cha, Yerin;Kim, Hyejeong;Park, Minjung
    • Fashion & Textile Research Journal
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    • v.24 no.3
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    • pp.303-314
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    • 2022
  • This study examined the impact of the social features (identification, interaction, information value) and technical features (visibility affordance, metavoicing affordance, social connecting affordance) in live commerce on consumers' attachment, which in turn affects consumers' continued intent to watch live commerce and intent to purchase from the platform. Consumers' attachment was represented by emotional attachment to the live shopping streamer and functional dependence on live commerce. Furthermore, this study investigated the effect of attachment on continuous watching intention and purchase intention. Using a web-based survey and consumers in their 20s and 30s (average age: 30.32) as a sample, this study collected 274 usable responses. The results showed that among the live commerce social system constructs, identification and interaction positively affected emotional attachment to the live commerce streamer. Among the live commerce technical system constructs, visibility affordance and social connecting affordance positively influenced functional dependence on live commerce. Both emotional attachment to the live streamer and functional dependence on live commerce were positively related to a continued intent to watch, which influenced the intent to purchase. This study empirically investigated live commerce based on the socio-technical systems framework and confirmed that both social and technical factors have a significant effect on consumers. This study also identified the impact of live commerce on consumers' attitudes through attachment theory. In addition, it has proved the antecedents and effect of continuous watching of live commerce on purchase behavior by focusing on continuous watching intention where less attention was paid in live commerce research.

Local Brand Love Based On Product, Price, Promotion, Online Distribution

  • YASA, Ni Nyoman Kerti;SANTIKA, I Wayan;GIANTARI, I Gusti Ayu Ketut;TELAGAWATHI, Ni Luh Wayan Sayang;MUNA, Nilna;RAHANATHA, Gede Bayu;WIDAGDA, I Gusti Ngurah Jaya Agung;RAHMAYANTI, Putu Laksmita Dewi
    • Journal of Distribution Science
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    • v.20 no.5
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    • pp.35-47
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    • 2022
  • Purpose: To explain the effect of product quality, price perception, online distribution, and social media promotion on attitudes, customer satisfaction, and local brand love. Research design, data and methodology: The population of this study are Indonesians who have purchased local Indonesian brand products. The size of the sample used was 240 people with purposive sampling method. The analytical technique used is Path Analysis using SEM-PLS. Results: product quality, price perception, online distribution have a positive effect on attitudes, but social media promotion has a positive and insignificant effect on consumer attitudes; product quality, price perception, online distribution, and social media promotion have a positive and significant effect on customer satisfaction, and attitudes have a positive and significant effect on local brand love; and customer satisfaction has a positive effect on brand love for local brands. Conclusion: Therefore, it is important for local brand product businesses to pay attention to product quality, price perception, online distribution, and social media promotion in order to be able to build positive attitudes, customer satisfaction and ultimately have an impact on local brand love. In online distribution, with online distribution, it is easy for marketers to deliver multimedia content through online methods.

The Effect of Corporate Social Responsibility on Brand Loyalty-The Mediating Effect of Brand Trust and e-WOM (기업의 사회적 책임이(CSR) 브랜드 충성도에 미치는 영향 - 브랜드 신뢰와 e-WOM의 매개효과를 중심으로)

  • Chen, Si-Si;Li, Yan-Nan
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.294-306
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    • 2021
  • In the era of brand economy, companies fulfill their social responsibilities to enhance consumers' brand trust, thereby enhancing brand loyalty. On the other hand, the current Covid-19 epidemic has accelerated the pace of digital transformation of enterprises and has also made consumers pay more attention to the online reputation of enterprises. Based on the Chinese consumer market, this paper studies the corporate social responsibility, Internet word-of-mouth, brand trust, and brand loyalty of electronic product companies. To verify the impact of corporate social responsibility on brand loyalty through Internet word-of-mouth and brand trust, this paper issued a questionnaire survey to Chinese consumers. A total of 469 questionnaires were used for empirical analysis, and SPSS21.0 was used to analyze the collected data. The results are summarized as follows: (1) CSR has a positive impact on brand trust. (2) CSR has a positive impact on brand loyalty. (3) Brand trust has a positive impact on brand loyalty. (4) Brand trust and e-WOM play an intermediary role in CSR and brand loyalty.

The Analysis of Current Status of Vinyl Record Industry in Korea: Focusing on Expert Opinion on Planning, Producing, and Distributing Vinyl Records (국내 LP(Long Play Records)산업의 현황 분석 - LP 기획·제작 및 유통 분야의 전문가 의견을 중심으로 -)

  • Kim, Ji In;Lee, Jin Woo
    • Korean Association of Arts Management
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    • no.60
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    • pp.37-68
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    • 2021
  • The purpose of this study is to understand the attractiveness of the vinyl record industry and derive implications by analyzing the structure of the industry. A few previous studies pay attention to the rapidly increasing demand for vinyl records, especially from a consumer point of view, and unlike the analysis of the consumption and vinyl record industry, this study focuses on the subjects of production and distribution of vinyl records. This paper collects data through in-depth interviews with experts in the vinyl record industry and various secondary data, which is analyzed by Porter(1980/2008)'s Five Forces Model. According to the analysis, the attractiveness of the vinyl record industry is positive in terms of the appropriate competitive strength in the industry and weak bargaining power of buyers, but negative in terms of the strong bargaining power of new entrants and substitutes. The outcome of this research has significance as basic data implying that companies that are trying to enter the vinyl record industry need to make strategic decisions.

Influence of product category and features on fashion recommendation service algorithm (패션 추천서비스 알고리즘에서 상품유형과 속성 조합의 영향)

  • Choi, Ji Yoon;Lee, Kyu-Hye
    • Journal of the Korea Fashion and Costume Design Association
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    • v.24 no.2
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    • pp.59-72
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    • 2022
  • The online fashion market in the 21st century has shown rapid growth. Against this backdrop, using consumer activity data to provide customized customer services has emerged as a viable business model that draws attention. Algorithm-based personalized recommendation services are a good example. But their application in fashion products has clear limitations. It is not easy to identify consumers' perceptions of the attributes of fashion, which are various, hard to define, and very sensitive to trends. So there is a need to compile data on consumers' underlying awareness and to carry out defined research to increase the utilization of such services in the fashion industry and further engage consumers. This research aims to classify the attributes and types of fashion products and to identify consumers' perceptions of a given situation where a recommendation service is offered. To find out consumers' perceptions of and satisfaction with recommendation services, an online and mobile survey was conducted on women in their 20s and 30s, a group that uses recommendation services frequently. A total of 455 responses were used for analysis. SPSS 28.0 was used, combined with Conjoint Analysis and multiple regression, to analyze data. The study results could provide insights into a better understanding of recommendation services and be used as basic data for companies to identify consumers' preferences and draw up a detailed strategy for market segmentation.

A Study on the Consumer Perception of Metaverse Before and After COVID-19 through Big Data Analysis (빅데이터 분석을 통한 코로나 이전과 이후 메타버스에 대한 소비자의 인식에 관한 연구)

  • Park, Sung-Woo;Park, Jun-Ho;Ryu, Ki-Hwan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.287-294
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    • 2022
  • The purpose of this study is to find out consumers' perceptions of "metaverse," a newly spotlighted technology, through big data analysis as a non-face-to-face society continues after the outbreak of COVID-19. This study conducted a big data analysis using text mining to analyze consumers' perceptions of metaverse before and after COVID-19. The top 30 keywords were extracted through word purification, and visualization was performed through network analysis and concor analysis between each keyword based on this. As a result of the analysis, it was confirmed that the non-face-to-face society continued and metaverse emerged as a trend. Previously, metaverse was focused on textual data such as SNS as a part of life logging, but after that, it began to pay attention to virtual reality space, creating many platforms and expanding industries. The limitation of this study is that since data was collected through the search frequency of portal sites, anonymity was guaranteed, so demographic characteristics were not reflected when data was collected.

An Analysis of On-Line and Offline Services for Customized Cosmetics in Korea (국내 맞춤형 화장품 온·오 프라인 서비스 분석)

  • Kim, JiYoung;Shin, Saeyoung;Nam, Hyunwoo
    • Fashion & Textile Research Journal
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    • v.24 no.4
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    • pp.460-470
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    • 2022
  • Customized cosmetics are emerging as a consumer product that companies should pay attention to in the beauty industry due to the combination of market trends and institutional introduction of customized cosmetics. In this study, six offline service brands and online service brands currently in Korea were selected to understand the current status of domestic customized cosmetics online and offline services and to derive detailed characteristics, and the cases of each brand were analyzed. The results are as follows. First, customized cosmetics services could be classified online and offline. Second, customized cosmetics brands could be divided into general brand types and brand extension types. Third, skin data measurements could be classified into genetic analysis, big data-based surveys, and device measurements. Fourth, customized cosmetics manufacturing could be classified into a device manufacturing system, a consultant manufacturing system, and an individual production process system. Fifth, customized cosmetics distribution and delivery could be classified into same-day sales, general delivery, and regular delivery. The results of this study are meaningful in that they have identified and analyzed the current status of personalized cosmetics on-line and offline systems in recent trends, and it was confirmed that creative attempts in the domestic customized cosmetics market continue to change. It is hoped that this study will provide information and ideas to the beauty industry and related experts in the future and be used as basic data for customized cosmetics marketing

About the Post-Cinematic Characteristics and Desire Shown in a Film (영화 <파란만장>에 나타난 욕망과 포스트시네마적인 특성에 대하여)

  • Son, Seong-Woo
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.3
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    • pp.121-129
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    • 2019
  • This study aims to focus on the text analysis, production methods of text, and reproduction of production methods, based on a film (2010) taken by mobile devices. As a digital film in which the objects and images have no characteristics of index, this work has the post-cinematic attributes in the aspect of consumers' recipience. This thesis paid attention to the interactions between essential change and production/consumption throughout the whole film culture in the receptive aspect. Just as the main character is a mediator-shaman in the film, this film works as a mediating position of cinematic possibility. In this film, there are different kinds of mediation such as mediation of shaman inside the text, mediation of film in the relationship between text and consumers, and consumers' instrumental desire for others'tool outside the text. Outside the text, this relevant film stimulates the imitation desire of consumer subjects as others. In other words, this is connected to the desire of consumers who aim to create a digital film through mobile devices as an author. This is connected to Simondon's thinking in which such technical objects not only generate new relationships, but also become a revolutionary seed that newly collectivizes human society.

A Study on the Characteristics of AI Fashion based on Emotions -Focus on the User Experience- (감성을 기반으로 하는 AI 패션 특성 연구 -사용자 중심(UX) 관점으로-)

  • Kim, Minsun;Kim, Jinyoung
    • Journal of Fashion Business
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    • v.26 no.1
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    • pp.1-15
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    • 2022
  • Digital transformation has induced changes in human life patterns; consumption patterns are also changing to digitalization. Entering the era of industry 4.0 with the 4th industrial revolution, it is important to pay attention to a new paradigm in the fashion industry, the shift from developer-centered to user-centered in the era of the 3rd industrial revolution. The meaning of storing users' changing life and consumption patterns and analyzing stored big data are linked to consumer sentiment. It is more valuable to read emotions, then develop and distribute products based on them, rather than developer-centered processes that previously started in the fashion market. An AI(Artificial Intelligence) deep learning algorithm that analyzes user emotion big data from user experience(UX) to emotion and uses the analyzed data as a source has become possible. By combining AI technology, the fashion industry can develop various new products and technologies that meet the functional and emotional aspects required by consumers and expect a sustainable user experience structure. This study analyzes clear and useful user experience in the fashion industry to derive the characteristics of AI algorithms that combine emotions and technologies reflecting users' needs and proposes methods that can be used in the fashion industry. The purpose of the study is to utilize information analysis using big data and AI algorithms so that structures that can interact with users and developers can lead to a sustainable ecosystem. Ultimately, it is meaningful to identify the direction of the optimized fashion industry through user experienced emotional fashion technology algorithms.