• Title/Summary/Keyword: Consumer sentiment

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The Marketing Strategy through Sports Media to Stimulate a Consumer Sentiment

  • LEE, Jae-Hyung
    • The Journal of Industrial Distribution & Business
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    • v.13 no.7
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    • pp.27-35
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    • 2022
  • Purpose: To entice new customers, companies attach their products to sports. From a pastime enjoyed by many to a multi-billion-dollar enterprise, the sport has evolved due to the growth in sports marketing spending. The purpose of this study is to illustrate the notion of sports media marketing using the prior textual data. Research design, data and methodology: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was conducted to investigate previous literature to achieve the purpose of the study. This method includes searching for information sources, selection of articles, and results extraction relative to the objectives. Results: The findings from prior systematic review indicated that customers and the marketplace can be better understood with the help of well-executed marketing campaigns. Moreover, many different techniques are being utilized to describe sports marketing such as the use of media, advertisement, public relations, and direct sales. Conclusions: All in all, the present study concludes that the notion of associative competitiveness is one of the unique characteristics of the sports sector. As a result, sports leagues and federations must maintain a balance within the league and develop a shared marketing strategy to help promote their respective sports and competitions.

A study on functional cosmetics purchasing behavior and satisfaction based on psychological characteristics post-COVID-19

  • Jang, Min-ah;Lee, Jung Min
    • International Journal of Advanced Culture Technology
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    • v.10 no.3
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    • pp.313-324
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    • 2022
  • This study aims to quantitatively understand the influence of changes in functional cosmetics purchasing sentiment on purchasing behavior and purchase satisfaction after the COVID-19 pandemic and present empirical analysis results regarding the rapidly changing cosmetics consumption market. This study empirically analyzed the structural relationship between non-face-to-face service purchase behavior, functional cosmetics purchase behavior, and functional cosmetics purchase satisfaction to predict purchase behavior of functional cosmetics by psychological characteristics after COVID-19. The collected data were analyzed using SPSS 22.0 (Statistical Package for Social Science) program and Amos 21.0, and correlation analysis was performed to understand the relationship between consumers' purchasing behaviors of functional cosmetics according to their perception of risk of COVID-19 carried out.Summarizing the results of this study, it was found that the higher the anxiety after the corona outbreak, the higher the non-face-to-face service purchase behavior and the functional cosmetics purchase behavior. It was found that purchase satisfaction increased when purchasing behavior of functional cosmetics increased, but purchase satisfaction decreased as anxiety increased after the outbreak of Corona.In this study, a sample of 1452 people were used as research data, and the theoretical implications for the development of functional cosmetics were presented by confirming the effect of changes in non-face-to-face service purchase behavior according to psychological characteristics after Corona 19 on consumer satisfaction.

Effects of Design Emotional Engineering Factors on Brand Preferences and Loyalty -Focused on smartphones- (디자인 감성공학 요소가 브랜드 선호도와 충성도에 미치는 영향 -스마트폰을 중심으로-)

  • Park, Junhong;Lee, Junsang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.594-596
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    • 2021
  • This study seeks to find out the impact of emotional engineering factors on brand preference and loyalty in smartphone product design. We divide emotional engineering elements into color, performance, usability, value, and reliability, and analyze the relevance of brand preference and loyalty. We study for the purpose of the study to consider which emotional engineering factors in consumers influence brand preferences and loyalty. Through the research results, the emotional engineering elements of product design will be used as useful data for establishing marketing strategies and will be used as basic data for judging consumer sentiment.

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Service Recovery and Employees' Authenticity: Focusing on the Moderating Effects of Authenticity on Service Compensation (서비스 실패 회복과 종업원 진정성: 서비스 보상에 대한 진정성의 조절효과를 중심으로)

  • Lee, Shuai;Noh, Yonghwi;Choi, Seung Kook
    • Journal of Korean Society for Quality Management
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    • v.51 no.2
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    • pp.247-261
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    • 2023
  • Purpose: This study investigates the relationship between service compensation, consumer sentiment and revisit intention for service recovery in the Chinese foodservice industry, and the moderating effect of employee authenticity. Methods: Data were collected from people who experienced eating out in a city located in central China, and the hypothesis was verified through multiple regression analysis and hierarchical regression analysis. Results: The results indicate that the specificity of compensation affects both positive and negative emotions of customers, and the activeness of compensation also influences positive emotions of customers. Also, employee autheticity moderates the effect of specificity of compensation on customers' positive emotions. Both positive and negative emotions of customers influences revisit intention. Conclusion: These results show that the role of service compensation is important in service recovery in the rapidly expanding Chinese foodservice industry. In addition, since the sincerity of employees plays an important role in maximizing the recovery effect in the process of service recovery, it suggests that it is important not only to improve services in the quantitative aspect but also in the qualitative aspect through employee training.

A Study on Analysis of consumer perception of YouTube advertising using text mining (텍스트 마이닝을 활용한 Youtube 광고에 대한 소비자 인식 분석)

  • Eum, Seong-Won
    • Management & Information Systems Review
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    • v.39 no.2
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    • pp.181-193
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    • 2020
  • This study is a study that analyzes consumer perception by utilizing text mining, which is a recent issue. we analyzed the consumer's perception of Samsung Galaxy by analyzing consumer reviews of Samsung Galaxy YouTube ads. for analysis, 1,819 consumer reviews of YouTube ads were extracted. through this data pre-processing, keywords for advertisements were classified and extracted into nouns, adjectives, and adverbs. after that, frequency analysis and emotional analysis were performed. Finally, clustering was performed through CONCOR. the summary of this study is as follows. the first most frequently mentioned words were Galaxy Note (n = 217), Good (n = 135), Pen (n = 40), and Function (n = 29). it can be judged through the advertisement that consumers "Galaxy Note", "Good", "Pen", and "Features" have good functional aspects for Samsung mobile phone products and positively recognize the Note Pen. in addition, the recognition of "Samsung Pay", "Innovation", "Design", and "iPhone" shows that Samsung's mobile phone is highly regarded for its innovative design and functional aspects of Samsung Pay. second, it is the result of sentiment analysis on YouTube advertising. As a result of emotional analysis, the ratio of emotional intensity was positive (75.95%) and higher than negative (24.05%). this means that consumers are positively aware of Samsung Galaxy mobile phones. As a result of the emotional keyword analysis, positive keywords were "good", "good", "innovative", "highest", "fast", "pretty", etc., negative keywords were "frightening", "I want to cry", "discomfort", "sorry", "no", etc. were extracted. the implication of this study is that most of the studies by quantitative analysis methods were considered when looking at the consumer perception study of existing advertisements. In this study, we deviated from quantitative research methods for advertising and attempted to analyze consumer perception through qualitative research. this is expected to have a great influence on future research, and I am sure that it will be a starting point for consumer awareness research through qualitative research.

Study on the Methodology for Extracting Information from SNS Using a Sentiment Analysis (SNS 감성분석을 이용한 정보 추출 방법론에 관한 연구)

  • Hong, Doopyo;Jeong, Harim;Park, Sangmin;Han, Eum;Kim, Honghoi;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.141-155
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    • 2017
  • As the use of SNS becomes more active, many people are posting their thoughts about specific events in their SNS in the form of text. As a result, SNS is used in various fields such as finance and distribution to conduct service satisfaction surveys and consumer monitoring. However, in the transportation area, there are not enough cases to utilize unstructured data analysis such as emotional analysis. In this study, we developed an emotional analysis methodology that can be used in transportation by using highway VOC data, which is atypical data collected by Korea Expressway Corporation. The developed methodology consists of morpheme analysis, emotional dictionary construction, and emotional discrimination of the collected unstructured data. The developed methodology was verified using highway related tweet data. As a result of the analysis, it can be guessed that many information and information about the construction and the accident were related to the highway during the analysis period. Also, it seems that users complain about the delay caused by construction and accident.

A Study on Popular Sentiment for Generation MZ: Through social media (SNS) sentiment analysis (MZ세대에 대한 대중감성 연구: 소셜미디어(SNS) 감성 분석을 통해)

  • Myung-suk Ann
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.19-26
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    • 2023
  • In this study, the public sensitivity of the 'MZ generation' was examined through the social media big data sensitivity analysis method. For the analysis, the consumer account SNS text was examined, and positive and negative emotional factors were presented by classifying external sensibilities and emotions of the MZ generation. In conclusion, the positive emotions of liking and interest in relation to the "MZ generation" were 72.1%, higher than the negative emotional ratio of 27.9%. In positive sensitivity, the older generation showed 'a favorable feeling for the individuality and dignifiedness of the MZ generation' and 'interest in the MZ generation with new values'. In contrast, the MZ generation has a favorable feeling for 'the fact that they are a generation of their own boldness, youthfulness and individuality' and 'small growthism'. Negative sensitivity outside the MZ generation was found to be 'A concern about the marriage avoidance, employment difficulties, debt investment, and resignation trends of the MZ generation', 'Hate the MZ generation who treats Kkondae' and 'Difficult to talk to the MZ generation'. On the other hand, the negative emotions felt by the MZ generation itself were 'Rejection of generalization', 'Rejection of generation and gender conflicts', 'Rejection of competition worse than the older generation', 'Relative failure of the rich era', and 'Sadness to live in a predicted climate disaster'. Therefore, the older generation should not look at the MZ generation in general, but as individuals, and should alleviate conflicts with intergenerational understanding and empathy. there is a need for community consideration to solve generational conflicts, gender conflicts, and environmental problems.

Analysis of Social Network between Consumption Emotion based on the Uniform of Full-Service Carrier and Low-Cost Carrier Crews (대형항공사와 저비용항공사 승무원의 유니폼에 따른 소비정서 간의 사회연결망 분석)

  • Seo, Ran-Sug
    • Journal of Digital Convergence
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    • v.16 no.8
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    • pp.99-107
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    • 2018
  • The purpose of the study compares the difference between the carriers' reported large consumption emotion of customers in regards to the appearance of the crew. The research method was conducted for 15 days from March 11 to 25, 2018, and the number of valid samples was 289 in total. The results of the study showed that customers differ in the influence of perceived consumption sentiment between full service carrier and low cost carrier on uniform of flight attendant. Consumer sentiments perceived by low cost carriers are comfortable, familiar, and lively, and these results have proven that they are distinguished from low cost carriers by being clean, sophisticated, and large. The results of this study are significant when the airline has changed the crew uniform at the right time and considered it to be a marketing tool that is important to the image change of the company.

Positioning of Smart Speakers by Applying Text Mining to Consumer Reviews: Focusing on Artificial Intelligence Factors (텍스트 마이닝을 활용한 스마트 스피커 제품의 포지셔닝: 인공지능 속성을 중심으로)

  • Lee, Jung Hyeon;Seon, Hyung Joo;Lee, Hong Joo
    • Knowledge Management Research
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    • v.21 no.1
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    • pp.197-210
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    • 2020
  • The smart speaker includes an AI assistant function in the existing portable speaker, which enables a person to give various commands using a voice and provides various offline services associated with control of a connected device. The speed of domestic distribution is also increasing, and the functions and linked services available through smart speakers are expanding to shopping and food orders. Through text mining-based customer review analysis, there have been many proposals for identifying the impact on customer attitudes, sentiment analysis, and product evaluation of product functions and attributes. Emotional investigation has been performed by extracting words corresponding to characteristics or features from product reviews and analyzing the impact on assessment. After obtaining the topic from the review, the effect on the evaluation was analyzed. And the market competition of similar products was visualized. Also, a study was conducted to analyze the reviews of smart speaker users through text mining and to identify the main attributes, emotional sensitivity analysis, and the effects of artificial intelligence attributes on product satisfaction. The purpose of this study is to collect blog posts about the user's experiences of smart speakers released in Korea and to analyze the attitudes of customers according to their attributes. Through this, customers' attitudes can be identified and visualized by each smart speaker product, and the positioning map of the product was derived based on customer recognition of smart speaker products by collecting the information identified by each property.

The Effects of Dissatisfaction on Consumer Behavioral Response in Smartphone Application Service (스마트폰 어플리케이션 서비스의 불만족이 고객 행동에 미치는 영향에 관한 연구)

  • Kim, Yong-Hee;Choi, Jeong-Il;Jin, Yeong-Ho;Lee, Dong-Won
    • Journal of Korean Society for Quality Management
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    • v.40 no.3
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    • pp.359-371
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    • 2012
  • Purpose: Due to the explosive growth and widespread use of smartphones, new business opportunities are emerging. Despite the importance of creating customer value in using smartphone applications, past studies on have mainly focused on functions or factors and specifications that influence users to use the device. Methods: This study is intended to identify how customer dissatisfaction from the use of smartphone application services affects customer sentiment and behavior. The research model is tested via a survey of 290 smartphone application users. Results: The result of this empirical study indicates that customer dissatisfaction significantly affects the user's disappointment and regret in using a service, which are subordinate values of customer emotion. The user's anger is positively associated with 'Negative word of mouth' and 'Complaint', which are subordinate values of customer behavior, but not with an intention to switch to another service. 'Regret' and 'Disappointment' are positively associated with 'Negative word of mouth' and 'Switching intention', but not with 'Making direct complaints'. Finally, customer's negative sentiments are a significant intermediary in the relationship between customer dissatisfaction and behavioral response. Conclusion: Finally, the study offers a more systematic understanding on the phasal response process of customer dissatisfaction in relation to the provision of smartphone application services.