研究生: |
陳語彤 Chen,Yu-Tong |
---|---|
論文名稱: |
運用GPT-3語言模型探究網路口碑與知覺價值對社群影響者聯名產品之影響 Using GPT-3 Model To Explore The Impact of e-WOM and Perceived Value on Social Media Influencers' Co-Brand Products |
指導教授: |
蔣旭政
Chiang, Hsu-Cheng |
口試委員: |
蔣旭政
Chiang, Hsu-Cheng 賴玉釵 Lai, Yu-Chai 陳慧蓉 Chen, Hui-Jung |
口試日期: | 2024/03/28 |
學位類別: |
碩士 Master |
系所名稱: |
大眾傳播研究所 Graduate Institute of Mass Communication |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 126 |
中文關鍵詞: | 社群影響者 、聯名商品 、知覺價值 、網路口碑 、GPT-3 |
英文關鍵詞: | social media influencers(SMIs), co-branded products, perceived value, e-WOM, GPT-3 |
研究方法: | 內容分析法 、 大數據取徑 |
DOI URL: | http://doi.org/10.6345/NTNU202400447 |
論文種類: | 學術論文 |
相關次數: | 點閱:170 下載:18 |
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心理學家馬斯洛的需求層次理論(Maslow's hierarchy of needs)中,提及生理需求為人類最基本的滿足需求;《尚書.洪範》曾列舉施政制度「八政」,將「食」列為第一,「貨」也就是商業列為第二。由此可鑒,無論自古往今來還是東西地域,民以食為天,飲食皆為人類維生基本需求。
聯名行銷發展至今,以多種形式與商業有著緊密的合作,其中運用名人資本與社群影響者合作模式,已然成為社群的行銷趨勢。過去使用問卷調查法對社群影響者和聯名商品進行研究已行之有年,但以大數據瞭解消費者所關切之內容面向卻付之闕如。因而,本研究選擇——韓勾ㄟ金針菇與Joeman兩位社群影響者,在匿名平台Dcard上的15175則留言中,以大數據取徑,並藉由詞頻與文字雲進行文本分析。同時,運用OpenAI公司開發之GPT-3語言模型,根據學者所提出之消費者行為價值理論,將文本分類為「功能價值」、「社會價值」、「條件價值」和「與聯名商品無關」四個類目。
最終的研究結果顯示,金針菇與全家所推出的聯名商品相較於Joeman和7-11合作的聯名商品,呈現更顯著的正面聲量。知覺價值分類結果中,發現兩位社群影響的出生背景與就職經驗,皆使消費者對聯名商品的期待與評價產生影響。此外,儘管社群影響者可能因為自身不良事件而造成負面影響,但與之合作的關鍵還是取決於其個人特質與目標受眾之間的契合度是否相符。整體而言,本研究通過留言瞭解消費者行為價值與網路口碑與情緒,提供品牌與企業對於聯名商品特色、價格策略和品牌形象等調整策略。
Maslow's hierarchy of needs theory, physiological needs are regarded as the most fundamental for human satisfaction. "The Book of Documents - Hong Fan" enumerates the "Eight Principles of Governance." "Food" is seen as the most important, and " commodity " are ranked second, representing commerce. Thus, we discover that regardless of historical or East-West region, "Bread is the staff of life," diets are fundamental needs for human survival.
Co-branding has evolved to incorporate various forms of collaboration with businesses, particularly through celebrity endorsements and partnerships with social media influencers, or "SMIs", which have become a prevailing marketing trend. While past research on SMIs and co-brand products has often relied on questionnaire methods, there has been a lack of understanding of consumer concerns through big data analytics. Therefore, this study focuses on two social media influencers, " Jin Jhen Gu, " and "Joeman," analyzing 15,175 comments on the anonymous platform "Dcard" using big data analytics and textual analysis techniques such as term frequency and word clouds. Additionally, leveraging OpenAI's GPT-3 language model, the text is classified into four categories based on consumer behavior value theory proposed by scholars: "functional value," "social value," "conditional value," and "unrelated to co-brand products."
The final research results indicate that the co-branded product featuring Jin Jhen Gu and FamilyMart exhibits significantly a more positive sentiment compared to the co-branded product collaboration between Joeman and 7-Eleven. Within the perceived value classification results, it was found that the birth backgrounds and professional experience of the two SMIs influenced consumers' expectations and evaluations of the co-branded products. Furthermore, despite the potential negative impact from adverse events associated with SMIs, the key to collaboration still lies between their personal traits and the target audience's preferences. Overall, this study provides insights into consumer behavior value and online sentiment through comments, offering brands and businesses adjustment strategies for co-branded product features, pricing strategies, brand image.
一、中文文獻
行銷人(2022年8月17日)。〈全家搶搭聯名風潮,超商KOL行銷策略分析〉。i-Buzz網路口碑研究中心。
行銷資料科學(2020年7月6日)。〈信度的類型 — 內部一致性信度〉。
Medium。https://medium.com/marketingdatascience/%E4%BF%A1%E5%BA%A6
%E7%9A%84%E9%A1%9E%E5%9E%8B-
%E5%85%A7%E9%83%A8%E4%B8%80%E8%87%B4%E6%80%A7%
E4%BF%A1%E5%BA%A6-b9945acef944
何撒娜(2017)。〈韓國飲食與國家品牌的塑造與想像〉。13(1) ,165-203。
李濤等(2015)。〈大數據時代的數據挖掘—從應用的角度看大數據挖掘〉。《大數據》,1(4),57-80。 https://doi.org/10.11959/j.issn.2096-0271.2015041
林柏宇、謝邦昌、廖佩珊(2016)。〈基於Python之文字探勘平臺〉。《Journal of Data Analysis》,11(6),35-61。https://doi.org/10.6338/JDA.201612_11(6).0003
邱長彥(2018)。〈 韓流對韓國料理消費與文化想像的影響:以一中商圈的韓國餐廳V消費者為例〉。《庶民文化研究》(17),1-35。
財團法人台灣網路資訊中心(2019)。〈2019台灣網路報告〉。財團法人台灣網路資訊中心https://report.twnic.tw/2019/assets/download/TWNIC_TaiwanInternetReport_2019_CH.pdf
莊文慧(2021)〈匿名評論你相信嗎? 新興匿名社群平台黏著度關係之研究—以 Dcard 為例〉。國立高雄科技大學企業管理系碩士班碩士論文,高雄市。
陳韋帆、古倫維(2018)。〈中文情感語意分析套件 CSentiPackage 發展與應用〉。《Journal of Library and Information Science》,44(1),24-41 https://doi.org/10.6245/JLIS.201804_44(1).0002
陳豈(山單)、陳建煒(2016)。〈大數據研究之機會與限制〉。《台灣醫學》, 20(6),595-601。https://doi.org/10.6320/FJM.2016.20(6).5
程倚華(2022年11月4日)。〈就是他把滴妹、古娃娃、千千、金針菇推進全家! PressPlay如何讓網紅「影響力變現」?〉。食力。https://www.foodnext.net/news/industry/paper/5357756398
程倚華(2021年8月31日)。〈獨家調查!2021台灣100大影響力網紅榜單,誰連續3年稱王?誰空降?〉。數位時代。https://www.bnext.com.tw/article/64752/2021-kol100
黃琣至(2021)。〈高聲量,高報酬!新產品宣告及網路口碑對供應鏈概念股影響之研究─以任天堂Switch遊戲為例〉。中原大學資訊管理學系碩士論文,桃園市。
鼎泰豐(2021年9月22日)。〈隱藏版現身「全家」!鼎泰豐主廚監製 3款員工私房菜獨家登場。〉鼎泰豐。
蔡佳靜、卓家億(2013)。〈代言人與產品配適之研究〉。《Journal of
Management & Systems》,20(4),611-635。
蔡博坤(2013)。〈智慧聯網時代巨量資料法制議題研析-以美國隱私權保護為核心〉。《科技法律透析》,25(10),46-62。
鄭宇君(2014)。〈向運算轉:新媒體研究與資訊技術結合的契機與挑戰〉。《傳播研究與實踐》,4(1),67-83。https://doi.org/10.6123/JCRP.2014.004
盧安邦、鄭宇君(2017)。〈用方法說故事:探析電腦輔助文本分析工具在框架研究之應用〉。《傳播研究與實踐》,7(2),145-178https://doi.org/10.6123/JCRP.2017.018
謝宗翰(2018)。〈情緒分析於網路餐廳評論之應用〉。國立高雄科技大學資訊管理系碩士論文,高雄市。
謝宜婷(2021年8月)。〈全台最大年輕人社群平台Dcard〉。台灣光華雜誌。https://www.taiwan-panorama.com/Articles/Details?Guid=1426d0fb-1879- 4fa2-98c756fe220b6a98&CatId=9&postname=%E5%85%A8%E5%8F%B0%E6%9C%80%E5%A4%A7%E5%B9%B4%E8%BC%95%E4%BA%BA%E7%A4%BE%E7%BE%A4%E5%B9%B3%E5%8F%B0Dcard%20-%E8%AE%93%E6%AF%8F%E5%80%8B%E4%
BA%BA%E9%83%BD%E6%9C%89%E6%A9%9F%E6%9C%83%E6%89%BE%E5%88%B0%E5%85%B1%E9%B3%B4
羅素(2019)〈聯名產品的魔力〉。《消費者報導雜誌》,463,58-60。
Dcard(2022年4月20日)。〈喜訊!Dcard 創辦人暨執行長林裕欽榮獲富比士 30 歲以下傑出青年(30 Under 30 Asia)〉。Dcard。
Dcard(無日期)。〈徵才—讓每個人都找到共鳴〉。Dcard
KOL Rader (2022年7月1日)。〈網紅聯名商品如何維持話題熱度? 善 用「階段式社群行銷」!〉。KOL Rader。
LnData(2023年3月29日)。〈網紅聯名常翻車?從Joeman X 7–11聯名事件社群分析來看〉。Medium。https://lndata-taiwan.medium.com/%E7%B6%B2%E7%B4%85%E8%81%AF%E5%90%8D%E5%B8%B8%E7%BF%BB%E8%BB%8A-%E5%BE%9Ejoeman-%EF%BD%98-7-11%E8%81%AF%E5%90%8D%E4%BA%8B%E4%BB%B6%E7%A4%BE%E7%BE%A4%E5%88%86%E6%9E%90%E4%BE%86%E7%9C%8B-c078072e6698
Nieslen(2015年9月)。〈全球對廣告信任〉。Nieslen。https://www.nielsen.com/zh/insights/2015/global-trust-in-advertising- 2015/
PressPlay(2019)。〈Business讓影響力成為品牌力 跨足各產業建構生態圈〉。PressPlay。https://pressplay.one/business/
Similarweb(2023年11月)。〈dcard.tw〉。Similarwebhttps://www.similarweb.com/zh-tw/website/dcard.tw/#overview
二、英文文獻
Abubakar, A. M., Ilkan, M., & Sahin, P. (2016). eWOM, eReferral and gender in the virtual community. Marketing Intelligence & Planning, 34(5), 692-710. https://doi.org/10.1108/mip-05-2015-0090
Acharya, A. (2020). The impact of brand familiarity, customer brand engagement and self-identification on word-of-mouth. South Asian Journal of Business Studies, 10(1), 29-48. https://doi.org/10.1108/sajbs-07-2019-0126
Ahn, H., & Sung, Y. (2011). A two-dimensional approach to between-partner fit in co-branding evaluations. Journal of Brand Management, 19(5), 414-424. https://doi.org/10.1057/bm.2011.49
Akkaya, M. (2021). Understanding the impacts of lifestyle segmentation & perceived value on brand purchase intention: An empirical study in different product categories. European Research on Management and Business Economics, 27(3). https://doi.org/10.1016/j.iedeen.2021.100155
AlRabiah, S., Marder, B., Marshall, D., & Angell, R. (2022). Too much information: An examination of the effects of social self-disclosure embedded within influencer eWOM campaigns. Journal of Business Research, 152, 93-105. https://doi.org/10.1016/j.jbusres.2022.07.029
Anagnostopoulos, I., Zeadally, S., & Exposito, E. (2016). Handling big data: research challenges and future directions. The Journal of Supercomputing, 72(4), 1494-1516. https://doi.org/10.1007/s11227-016-1677-z
Arvidsson, A., & Bonini, T. (2014). Valuing audience passions: From Smythe to Tarde. European Journal of Cultural Studies, 18(2), 158-173. https://doi.org/10.1177/1367549414563297
Atkin, C., & Block, M. (1983). Effectiveness of celebrity endorsers. Journal of Advertising Research, 23(1), 57-61.
Audrezet, A., de Kerviler, G., & Guidry Moulard, J. (2020). Authenticity under threat: When social media influencers need to go beyond self-presentation. Journal of Business Research, 117, 557-569. https://doi.org/10.1016/j.jbusres.2018.07.008
Aw, E. C.-X., & Labrecque, L. I. (2022). Celebrities As Brand Shields: The Role of Parasocial Relationships in Dampening Negative Consequences from Brand Transgressions. Journal of Advertising, 52(3), 387-405. https://doi.org/10.1080/00913367.2022.2066034
Awasthi, A. K., & Choraria, S. (2015). Effectiveness of Celebrity Endorsement Advertisements: The Role of Customer Imitation Behaviour. Journal of Creative Communications, 10(2), 215-234. https://doi.org/10.1177/0973258615597412
Bae, S., Slevitch, L., Tomas, S., & Nunkoo, R. (2018). The effects of restaurant attributes on satisfaction and return patronage intentions: Evidence from solo diners’ experiences in the United States. Cogent Business & Management, 5(1). https://doi.org/10.1080/23311975.2018.1493903
Baker, J., Parasuraman, A., Parasuraman, A., & Voss, G. B. (2002). The Influence of Multiple Store Environment Cues on Perceived Merchandise Value and Patronage Intentions. Journal of Marketing, 66(2), 120-141. https://doi.org/10.1509/jmkg.66.2.120.18470
Balabanis, G., & Chatzopoulou, E. (2019). Under the influence of a blogger: The role of information‐seeking goals and issue involvement. Psychology & Marketing, 36(4), 342-353. https://doi.org/10.1002/mar.21182
Bauer, B. C., Carlson, B. D., & Johnson, C. D. (2022). The match-up hypotheses revisited: matching social judgments and advertising messaging in celebrity endorsements. European Journal of Marketing, 56(3), 869-898. https://doi.org/10.1108/ejm-07-2020-0541
Bayir, T. (2023). Segmentation of Social Media Platforms in Terms of Perceived Benefits: Cluster Analysis on Brand Followers. Business and Economics Research Journal. https://doi.org/10.20409/berj.2023.405
Becker, L., van Rompay, T. J. L., Schifferstein, H. N. J., & Galetzka, M. (2011). Tough package, strong taste: The influence of packaging design on taste impressions and product evaluations. Food Quality and Preference, 22(1), 17-23. https://doi.org/10.1016/j.foodqual.2010.06.007
Behr, A., & Beeler-Norrholm, A. (2006). Fame, Fortune, and the Occasional Branding Misstep: When Good Celebrities Go Bad. Intellectual Property & Technology Law Journal, 18(11), 6-11.
Bergkvist, L., Hjalmarson, H., & Mägi, A. W. (2015). A new model of how celebrity endorsements work: attitude toward the endorsement as a mediator of celebrity source and endorsement effects. International Journal of Advertising, 35(2), 171-184. https://doi.org/10.1080/02650487.2015.1024384
Bergkvist, L., & Zhou, K. Q. (2016). Celebrity endorsements: a literature review and research agenda. International Journal of Advertising, 35(4), 642-663. https://doi.org/10.1080/02650487.2015.1137537
boyd, d., & Crawford, K. (2012). Critical Questions for Big Data: Provocations for a Cultural,
Technological, and Scholarly Phenomenon. Információs Társadalom, 15(2), 662-679. https://doi.org/https://doi.org/10.1080/1369118X.2012.678878
Britt, R. K., Hayes, J. L., Britt, B. C., & Park, H. (2020). Too Big to Sell? A Computational Analysis of Network and Content Characteristics among Mega and Micro Beauty and Fashion Social Media Influencers. Journal of Interactive Advertising, 20(2), 111-118. https://doi.org/10.1080/15252019.2020.1763873
Brooks, G., Drenten, J., & Piskorski, M. J. (2021). Influencer Celebrification: How Social Media Influencers Acquire Celebrity Capital. Journal of Advertising, 50(5), 528-547. https://doi.org/10.1080/00913367.2021.1977737
Cambria, E., Rajagopal, D., Olsher, D., & Das, D. (2013). Big Social Data Analysis. In Big Data Computing (pp. 401-414). https://doi.org/10.1201/b16014-19
Campbell, C., & Farrell, J. R. (2020). More than meets the eye: The functional components underlying influencer marketing. Business Horizons, 63(4), 469-479. https://doi.org/10.1016/j.bushor.2020.03.003
Campbell, C., & Grimm, P. E. (2018). The Challenges Native Advertising Poses: Exploring Potential Federal Trade Commission Responses and Identifying Research Needs. Journal of Public Policy & Marketing, 38(1), 110-123. https://doi.org/10.1177/0743915618818576
Cao, Z., & Sorescu, A. (2013). Wedded Bliss or Tainted Love? Stock Market Reactions to the Introduction of Cobranded Products. Marketing Science, 32(6), 939-959. https://doi.org/10.1287/mksc.2013.0806
Carrillat, F. A., D'Astous, A., & Lazure, J. (2013). For Better, for Worse? Journal of Advertising Research, 53(1), 15-30. https://doi.org/10.2501/jar-53-1-015-030
Carrillat, F. A., O’Rourke, A.-M., & Plourde, C. (2019). Celebrity endorsement in the world of luxury fashion – when controversy can be beneficial. Journal of Marketing Management, 35(13-14), 1193-1213. https://doi.org/10.1080/0267257x.2019.1634632
CETINĂ, I., RĂDULESCU, V., POPA, M., VINEREAN, S., & OPREANA, A. (2023). Examining Key Drivers of Social Media WOM – A SEM Approach. Economic Computation & Economic Cybernetics Studies & Research, 57(2), 73-88. https://doi.org/10.24818/18423264/57.2.23.05
Chan, K., & Fan, F. (2020). Perception of advertisements with celebrity endorsement among mature consumers. Journal of Marketing Communications, 28(2), 115-131. https://doi.org/10.1080/13527266.2020.1843063
Cheong, H. J., & Morrison, M. A. (2008). Consumers’ Reliance on Product Information and Recommendations Found in UGC. Journal of Interactive Advertising, 8(2), 38-49. https://doi.org/10.1080/15252019.2008.10722141
Cheung, C. M. K., & Lee, M. K. O. (2012). What drives consumers to spread electronic word of mouth in online consumer-opinion platforms. Decision Support Systems, 53(1), 218-225. https://doi.org/10.1016/j.dss.2012.01.015
Chinchor, N. (1992). The statistical significance of the MUC-4 results. MUC4 '92: Proceedings of the 4th conference on Message understanding, 30-50. https://doi.org/https://doi.org/10.3115/1072064.1072068
Choi, E. (2023). Consuming the Korean Mobile Nation: Seoul, Dislocation, and the Search for Belonging in (Food) Media. JCMS: Journal of Cinema and Media Studies, 62(3), 34-59. https://doi.org/10.1353/cj.2023.0025
Choi, H. S., & Leon, S. (2020). An empirical investigation of online review helpfulness: A big data perspective. Decision Support Systems, 139. https://doi.org/10.1016/j.dss.2020.113403
Chung, S., & Cho, H. (2017). Fostering Parasocial Relationships with Celebrities on Social Media: Implications for Celebrity Endorsement. Psychology & Marketing, 34(4), 481-495. https://doi.org/10.1002/mar.21001
Cohen, S., Presil, D., Katz, O., Arbili, O., Messica, S., & Rokach, L. (2023). Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time. Information Fusion, 99. https://doi.org/10.1016/j.inffus.2023.101887
Cooke, S., & Ryan, P. (2000). Brand Alliances From Reputation Endorsement To Collaboration On Core Competencies. Irish Marketing Review, 13(2), 36-41.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
Dale, R. (2020). GPT-3: What’s it good for? Natural Language Engineering, 27(1), 113-118. https://doi.org/10.1017/s1351324920000601
DataReportal. (2024). GLOBAL SOCIAL MEDIA STATISTICS. DataReportal. https://datareportal.com/social-media-users?utm_source=DataReportal&utm_medium=Country_Article_Hyperlink&utm_campaign=Digital_2023&utm_term=Taiwan&utm_content=Social_Media_Overview_Promo
De Jans, S., Van de Sompel, D., De Veirman, M., & Hudders, L. (2020). #Sponsored! How the recognition of sponsoring on Instagram posts affects adolescents’ brand evaluations through source evaluations. Computers in Human Behavior, 109. https://doi.org/10.1016/j.chb.2020.106342
De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798-828. https://doi.org/10.1080/02650487.2017.1348035
Deng, L., Sun, W., Xu, D., & Ye, Q. (2021). Impact of Anonymity on Consumers' Online Reviews. Psychology & Marketing, 38(12), 2259-2270. https://doi.org/10.1002/mar.21565
Dodds, W. B., & Monroe, K. B. (1985). The Effect of Brand and Price Information on Subjective Product Evaluations NA - Advances in Consumer Research, 12, 85-90.
Drost, E. (2011). Validity and Reliability in Social Science Research. International Perspectives on Higher Education Research, 38(1), 105-124.
Du, Y., Rui, J. R., & Yu, N. (2023). How Parasocial Relationship and Influencer-Product Congruence Shape Audience's Attitude Towards Product Placement in Online Videos: The Mediation Role of Reactance. Psychol Res Behav Manag, 16, 1315-1329. https://doi.org/10.2147/PRBM.S406558
Dumas, J. E., & Stough, R. A. (2022). When influencers are not very influential The negative effects of social media verification. Journal of Consumer Behaviour, 21(2). https://doi.org/https://doi.org/10.1002/cb.2039
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., . . . Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59. https://doi.org/10.1016/j.ijinfomgt.2020.102168
Edwards, C. (2021). The Best of NLP: Natural language processing delves more deeply into its knowledge gap. Communications of the ACM, 64(4), 9-11. https://doi.org/10.1145/3449049
Ennew, C. T., Banerjee, A. K., & Li, D. (2000). Managing word of mouth communication: empirical evidence from India. International Journal of Bank Marketing, 18(2), 75-83. https://doi.org/10.1108/02652320010322985
Erdogan, B. Z. (1999). Celebrity Endorsement: A Literature Review. Journal of Marketing Management, 15(4), 291-314. https://doi.org/10.1362/026725799784870379
Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big Data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897-904. https://doi.org/10.1016/j.jbusres.2015.07.001
Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47-55. https://doi.org/10.1016/j.chb.2016.03.003
Escalas, J. E., & Bettman, J. R. (2017). Connecting With Celebrities: How Consumers Appropriate Celebrity Meanings for a Sense of Belonging. Journal of Advertising, 46(2), 297-308. https://doi.org/10.1080/00913367.2016.1274925
Evans, N. J., Phua, J., Lim, J., & Jun, H. (2017). Disclosing Instagram Influencer Advertising: The Effects of Disclosure Language on Advertising Recognition, Attitudes, and Behavioral Intent. Journal of Interactive Advertising, 17(2), 138-149. https://doi.org/10.1080/15252019.2017.1366885
Forbes. (2022). Seizing the moment of a personalized digital revolution. Forbes. https://www.forbes.com/profile/kytu-lin/?list=30under30-asia-consumer-technology&sh=247b504e3e08
Frank, B., & Mitsumoto, S. (2021). An extended source attractiveness model: the advertising effectiveness of distinct athlete endorser attractiveness types and its contextual variation. European Sport Management Quarterly, 23(4), 1091-1114. https://doi.org/10.1080/16184742.2021.1963302
Fuchs, C. (2012). Dallas Smythe today: the audience commodity, the digital labour debate, Marxist political economy and critical theory. Prolegomena to a digital labour theory of value. tripleC: Open Access Journal for a Global Sustainable Information Society, 10(2), 692-740.
Furst, T., Connors, M., Bisogni, C. A., Sobal, J., & Falk, L. W. (1996). Food Choice: A Conceptual Model of the Process. 26(3), 247-266. https://doi.org/https://doi.org/10.1006/appe.1996.0019
Gan, C., & Wang, W. (2017). The influence of perceived value on purchase intention in social commerce context. Internet Research, 27, 772-785.
Gandini, A. (2020). Reaching for the Stars: The Role and Value of Digital Reputation., 12(2), 18-21. https://doi.org/10.2478/nimmir-2020-0012
Ghani, N. A., Hamid, S., Targio Hashem, I. A., & Ahmed, E. (2019). Social media big data analytics: A survey. Computers in Human Behavior, 101, 417-428. https://doi.org/10.1016/j.chb.2018.08.039
Gopal, B. S. (2021). Conceptual Model Development for Celebrity Endorsement in Social Advertising: The Case of Source Credibility and Celebrity-Fan Relationship. IUP Journal of Marketing Management, 20(4), 122-141.
Goyette, I., Ricard, L., Bergeron, J., & Marticotte, F. (2010). e-WOM Scale: word-of-mouth measurement scale for e-services context. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, 27(1), 5-23. https://doi.org/10.1002/cjas.129
Guiltinan, J. P. (1987). The Price Bundling of Services: A Normative Framework. Journal of Marketing, 51(2), 74-85.
Gummerus, J., & Pihlström, M. (2011). Context and mobile services' value-in-use. Journal of Retailing and Consumer Services, 18(6), 521-533. https://doi.org/10.1016/j.jretconser.2011.07.002
Gunther, A. C. (1992). Biased Press or Biased Public? Attitudes Toward Media Coverage of Social Groups. Public Opinion Quarterly, 56(2), 147-167. https://doi.org/https://doi.org/10.1086/269308
Ha, J. (2019). “Why do you dine at Korean restaurants?” An ethnic food consumption model approach. Journal of Foodservice Business Research, 22(2), 132-149. https://doi.org/10.1080/15378020.2019.1581039
Haluza, D., & Jungwirth, D. (2023). Artificial Intelligence and Ten Societal Megatrends: An Exploratory Study Using GPT-3. Systems, 11(3). https://doi.org/10.3390/systems11030120
Haywood, K. M. (1989). Managing Word of Mouth Communications. Journal of Services Marketing, 3(2), 55-67.
He, Z., Han, G., Cheng, T. C. E., Fan, B., & Dong, J. (2019). Evolutionary food quality and location strategies for restaurants in competitive online-to-offline food ordering and delivery markets: An agent-based approach. International Journal of Production Economics, 215, 61-72. https://doi.org/10.1016/j.ijpe.2018.05.008
Helmig, B., Huber, J.-A., & Leeflang, P. S. H. (2008). Co-Branding: The State of the Art. Schmalenbach Business Review, 60.
Hicks, S. A., Strümke, I., Thambawita, V., Hammou, M., Riegler, M. A., Halvorsen, P., & Parasa, S. (2022). On evaluation metrics for medical applications of artificial intelligence. https://doi.org/10.1038/s41598-022-09954-8
Hoskins, J. D., & Watts, J. K. (2022). The Electronic Word-of-Mouth (eWOM) Implications of Mainstream Channel Distribution and Sales by Niche Brands. Journal of Interactive Marketing, 57(4), 614-628. https://doi.org/10.1177/10949968221118333
Hsu, C. L., Chuan‐Chuan Lin, J., & Chiang, H. S. (2013). The effects of blogger recommendations on customers’ online shopping intentions. Internet Research, 23(1), 69-88. https://doi.org/10.1108/10662241311295782
Huang, C.-Y., Yang, C.-L., & Hsiao, Y.-H. (2021). A Novel Framework for Mining Social Media Data Based on Text Mining, Topic Modeling, Random Forest, and DANP Methods. Mathematics, 9(17). https://doi.org/10.3390/math9172041
Huang, J. C. (2020). Gender and Celebrity Scandals: A Cross-Cultural Examination on Celebrity Endorsement. Journal of Promotion Management, 27(1), 133-150. https://doi.org/10.1080/10496491.2020.1809593
Huang, M., Cai, F., Tsang, A. S. L., & Zhou, N. (2011). Making your online voice loud: the critical role of WOM information. European Journal of Marketing, 45(7/8), 1277-1297. https://doi.org/10.1108/03090561111137714
Hwang, J., Kim, S., Choe, J. Y., & Chung, C.-H. (2018). Exploration of the successful glocalization of ethnic food: a case of Korean food. International Journal of Contemporary Hospitality Management, 30(12), 3656-3676. https://doi.org/10.1108/ijchm-07-2017-0452
Hwang, K., & Zhang, Q. (2018). Influence of parasocial relationship between digital celebrities and their followers on followers’ purchase and electronic word-of-mouth intentions, and persuasion knowledge. Computers in Human Behavior, 87, 155-173. https://doi.org/10.1016/j.chb.2018.05.029
Indrawati, Putri Yones, P. C., & Muthaiyah, S. (2023). eWOM via the TikTok application and its influence on the purchase intention of somethinc products. Asia Pacific Management Review, 28(2), 174-184. https://doi.org/10.1016/j.apmrv.2022.07.007
Jain, V., & Roy, S. (2016). Understanding meaning transfer in celebrity endorsements: a qualitative exploration. Qualitative Market Research: An International Journal, 19(3), 266-286. https://doi.org/10.1108/qmr-03-2015-0020
Jimenez-Marquez, J. L., Gonzalez-Carrasco, I., Lopez-Cuadrado, J. L., & Ruiz-Mezcua, B. (2019). Towards a big data framework for analyzing social media content. International Journal of Information Management, 44, 1-12. https://doi.org/10.1016/j.ijinfomgt.2018.09.003
Jin, S. V., & Muqaddam, A. (2019). Product placement 2.0: “Do Brands Need Influencers, or Do Influencers Need Brands?”. Journal of Brand Management, 26(5), 522-537. https://doi.org/10.1057/s41262-019-00151-z
Kahle, L. R., & Homer, P. M. (1985). Physical Attractiveness of the Celebrity Endorser: A Social Adaptation Perspective. Journal of Consumer Research, 11, 954-961. https://doi.org/https://www.jstor.org/stable/2489220
Kamins, M. A. (1990). An Investigation into the “Match-up” Hypothesis in Celebrity Advertising: When Beauty May Be Only Skin Deep. Journal of Advertising, 19(1), 4-13. https://doi.org/https://doi.org/10.1080/00913367.1990.10673175
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59-68. https://doi.org/10.1016/j.bushor.2009.09.003
Kaplan, A. M., & Haenlein, M. (2011). Two hearts in three-quarter time: How to waltz the social media/viral marketing dance. Business Horizons, 54(3), 253-263. https://doi.org/10.1016/j.bushor.2011.01.006
Kaya, S. (2022). Sosyal Medyada Anonim Olmanın Söylemler Üzerindeki Etkisinin Haber Yorumları Üzerinden İncelenmesi. İletişim Kuram ve Araştırma Dergisi, 2022(60), 168-185. https://doi.org/10.47998/ikad.1067590
Kemp, S. (2024). DIGITAL 2024: TAIWAN. DataReportal. https://datareportal.com/reports/digital-2024-taiwan?rq=taiwan
Khamis, S., Ang, L., & Welling, R. (2016). Self-branding, ‘micro-celebrity’ and the rise of Social Media Influencers. Celebrity Studies, 8(2), 191-208. https://doi.org/10.1080/19392397.2016.1218292
Kim, T. J., & Petitjean, M. (2021). Atypical package design and product category prestige. Journal of Product Innovation Management, 38(3), 379-397. https://doi.org/10.1111/jpim.12574
Kitsios, F., Kamariotou, M., Karanikolas, P., & Grigoroudis, E. (2021). Digital Marketing Platforms and Customer Satisfaction: Identifying eWOM Using Big Data and Text Mining. Applied Sciences, 11(17). https://doi.org/10.3390/app11178032
Knight, M. (2018). What Is Big Data? Dataversity. https://www.dataversity.net/what-is-big-data/
Knittel, C. R., & Stango, V. (2014). Celebrity Endorsements, Firm Value, and Reputation Risk: Evidence from the Tiger Woods Scandal. Management Science, 60(1), 21-37. https://doi.org/10.1287/mnsc.2013.1749
Knoll, J., & Matthes, J. (2016). The effectiveness of celebrity endorsements: a meta-analysis. Journal of the Academy of Marketing Science, 45(1), 55-75. https://doi.org/10.1007/s11747-016-0503-8
Koernig, S. K., & Boyd, T. C. (2009). To Catch a Tiger or Let Him Go: The Match-up Effect and Athlete Endorsers for Sport and Non-Sport Brands. Sport Marketing Quarterly, 18(1), 25-37.
Konecnik Ruzzier, M., & Petek, N. (2022). Investigating the Impact of Television Advertising and eWOM on Brand Equity Creation. Market - Tržište, 34(2), 127-143. https://doi.org/10.22598/mt/2022.34.2.127
Konuk, F. A. (2019). The influence of perceived food quality, price fairness, perceived value and satisfaction on customers’ revisit and word-of-mouth intentions towards organic food restaurants. Journal of Retailing and Consumer Services, 50, 103-110. https://doi.org/10.1016/j.jretconser.2019.05.005
Konuk, F. A. (2023). Trustworthy brand signals, price fairness and organic food restaurant brand loyalty. Management Decision, 61(10), 3035-3052. https://doi.org/10.1108/md-07-2022-0889
Ku, L. W., Ho, H. W., & Chen, H. H. (2009). Opinion mining and relationship discovery using CopeOpi opinion analysis system. Journal of the American Society for Information Science and Technology, 60(7), 1486-1503. https://doi.org/10.1002/asi.21067
Kukar-Kinney, M., Xia, L., & B. Monroe, K. (2011). When a promotion is denied: the effects of decision stage on perceptions of promotion and price fairness. Economic and Business Review, 13(3). https://doi.org/10.15458/2335-4216.1237
Labrecque, L. I., Markos, E., & Milne, G. R. (2011). Online Personal Branding: Processes, Challenges, and Implications. Journal of Interactive Marketing, 25(1), 37-50. https://doi.org/10.1016/j.intmar.2010.09.002
LaFontaine, W. R. (2012). Global Technology Outlook. IBM Research, 1-15.
Levin, A. M., Davis, J. C., & Levin, I. (1996). Theoretical and Empirical Linkages Between Consumers' Responses to Different Branding Strategies. Advances in Consumer Research, 23, 296-300.
Lin, H.-C., Bruning, P. F., & Swarna, H. (2018). Using online opinion leaders to promote the hedonic and utilitarian value of products and services. Business Horizons, 61(3), 431-442. https://doi.org/10.1016/j.bushor.2018.01.010
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458-468. https://doi.org/10.1016/j.tourman.2007.05.011
Liu, B., Xiao, B., Jiang, X., Cen, S., He, X., Dou, W., & Chen, H. (2023). Adversarial Attacks on Large Language Model-Based System and Mitigating Strategies: A Case Study on ChatGPT. Security and Communication Networks, 2023, 1-10. https://doi.org/10.1155/2023/8691095
Liu, X., Wu, X., & Ye, Q. (2022). Joint Effect of Different Dimensions of eWOM on Product Sales. Information, 13(7). https://doi.org/10.3390/info13070311
Liu, Y. (2006). Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue. Journal of Marketing, 70(3), 74-89. https://doi.org/https://doi.org/10.1509/jmkg.70.3.074
Lugmayr, A., Stockleben, B., Scheib, C., & Mailaparampil, M. A. (2017). Cognitive big data: survey and review on big data research and its implications. What is really “new” in big data? Journal of Knowledge Management, 21(1), 197-212. https://doi.org/10.1108/jkm-07-2016-0307
Lynch, J., & Schuler, D. (1994). The matchup effect of spokesperson and product congruency: A schema theory interpretation. Psychology & Marketing, 11(5), 417–445. https://doi.org/https://doi.org/10.1002/mar.4220110502
Magnini, V. P., Garcia, C., & Honeycutt, E. D. (2010). Identifying the Attributes of an Effective Restaurant Chain Endorser. Cornell Hospitality Quarterly, 51(2), 238-250. https://doi.org/10.1177/1938965510363669
Malhotra, P., & Bhattacharyya, S. (2022). Leveraging Cofollowership Patterns on Social Media to Identify Brand Alliance Opportunities. Journal of Marketing, 86(4), 17-36. https://doi.org/10.1177/00222429221083668
Mandler, G. (1982). The Structure of Value: Accounting for taste. Affect and Cognition: The 17th Annual Carnegie Symposium, 3-36. (NJ: Lawrence Erlbaum Associates)
Manyika, J., Manyika, J., Brown, B., Bughin, J., Bughin, J., Bughin, J., & Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute (MGI).
Mariani, M. M., & Matarazzo, M. (2020). Does cultural distance affect online review ratings? Measuring international customers’ satisfaction with services leveraging digital platforms and big data. Journal of Management and Governance, 25(4), 1057-1078. https://doi.org/10.1007/s10997-020-09531-z
Marken, G. A. (2009). Social Media...The iHunted Can Become the Hunter. Public Relations Quarterly, 52(4), 9-12.
Marković, I., Radosavljević, G., & Borisavljević, K. (2022). Celebrity Endorsement Influence on Destination Image. Naše gospodarstvo/Our economy, 68(4), 66-74. https://doi.org/10.2478/ngoe-2022-0024
Marshall, P. D., & Redmond, S. (2015). A Companion to Celebrity. 584. ( Wiley-Blackwell)
McCormick, K. (2016). Celebrity endorsements: Influence of a product-endorser match on Millennials attitudes and purchase intentions. Journal of Retailing and Consumer Services, 32, 39-45. https://doi.org/10.1016/j.jretconser.2016.05.012
McCracken, G. (1986). Culture and Consumption: A Theoretical Account of the Structure and Movement of the Cultural Meaning of Consumer Goods. Journal of Consumer Research, 13, 71-84. https://doi.org/https://www.jstor.org/stable/2489287
McCracken, G. (1989). Who is the Celebrity Endorser? Cultural Foundations of the Endorsement Process. Journal of Consumer Research, 16(3). https://doi.org/10.1086/209217
McGuire, W. J. (1985). Attitudes and attitude change. In G. Lindzey, & E. Aronson (Eds.),Handbook of social psychology, 2, 233-346. (Random House.)
Miller, V., & Hogg, E. (2023). ‘If you press this, I’ll pay’: MrBeast, YouTube, and the mobilisation of the audience commodity in the name of charity. Convergence: The International Journal of Research into New Media Technologies, 29(4), 997-1014. https://doi.org/10.1177/13548565231161810
Młodkowska, B. (2019). Influencers on Instagram and YouTube and Their Impact on Consumer Behaviour. Journal of Marketing and Consumer Behaviour in Emerging Markets, 2019(1), 4-13. https://doi.org/10.7172/2449-6634.jmcbem.2019.1.1
Moisescu, O. I., Gica, O. A., & Herle, F. A. (2022). Boosting eWOM through Social Media Brand Page Engagement: The Mediating Role of Self-Brand Connection. Behav Sci (Basel), 12(11). https://doi.org/10.3390/bs12110411
Moreno Espinosa, P., Roman San Miguel, A., & Olivares Garcia, F. J. (2021). Tim Berners-Lee in front of Internet owners in the era of information over. Estudios sobre el Mensaje Periodístico, 27(1), 365-374. https://doi.org/10.5209/esmp.71328
Mudambi, S. M., & Schuff, D. (2010). Research Note: What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com. MIS Quarterly, 34, 185-200. https://doi.org/https://doi.org/10.2307/20721420
Nasution, R. A., Arnita, D., & Purnama, S. Q. (2020). Believe It or Not: The Effect of Involvement on the Credibility of Image Transfer through co-Branding. Journal of International Consumer Marketing, 33(5), 578-594. https://doi.org/10.1080/08961530.2020.1731899
Ohanian, R. (1991). The impact of celebrity spokespersons' perceived image on consumers' intention to purchase. Journal of Advertising Research, 31(1), 46-54.
Olson, J. C., & Jacoby, J. (1972). Cue Utilization in the Quality Perception Process. Proceedings of the Third Annual Conference of the Association for Consumer Research, 167-179.
OOSGA. (2023). Social Media in Taiwan - 2023 Stats & Platform Trends. OOSGA. https://oosga.com/social-media/twn/
Özer, M., Özer, A., Ekinci, Y., & Koçak, A. (2022). Does celebrity attachment influence brand attachment and brand loyalty in celebrity endorsement? A mixed methods study. Psychology & Marketing, 39(12), 2384-2400. https://doi.org/10.1002/mar.21742
Page, R. (2012). The linguistics of self-branding and micro-celebrity in Twitter: The role of hashtags. Discourse & Communication, 6(2), 181-201. https://doi.org/10.1177/1750481312437441
Pan, X., Hou, L., & Liu, K. (2020). The effect of product distance on the eWOM in recommendation network. Electronic Commerce Research, 22(3), 901-924. https://doi.org/10.1007/s10660-020-09432-1
Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: A research agenda. Journal of the Academy of Marketing Science, 28, 168-174.
Park, J., Lee, J. M., Xiong, V. Y., Septianto, F., & Seo, Y. (2021). David and Goliath: When and Why Micro-Influencers Are More Persuasive Than Mega-Influencers. Journal of Advertising, 50(5), 584-602. https://doi.org/10.1080/00913367.2021.1980470
Pearson, L. (2021). Brand x Brand: Collabs and Cobranding. Licensing Journal, 41(8), 1-7.
Quan, Y. H., & Im, J. B. (2023). Exposure or pandemic effect: Export boom in instant noodles from South Korea during COVID-19. Food Sci Nutr, 11(12), 8043-8059. https://doi.org/10.1002/fsn3.3724
Rahim, S. A., Huai, T. S., Ahmi, A., & Rahman, N. A. A. (2023). Social media influencer’s credibility toward millennial’s purchase intention of IT products in Malaysia 27th International Meeting of Thermophysics 2022,
Rao, A. R., & Ruekert, L. Q. a. R. W. (1999). Signaling Unobservable Product Quality through a Brand Ally. Journal of Marketing Research, 36(2), 258-268. https://doi.org/https://doi.org/10.1177/002224379903600209
Reimer, T., & Benkenstein, M. (2018). Not just for the recommender: How eWOM incentives influence the recommendation audience. Journal of Business Research, 86, 11-21. https://doi.org/10.1016/j.jbusres.2018.01.041
Rekha, J. H., & Parvathi, R. (2015). Survey on Software Project Risks and Big Data Analytics. Procedia Computer Science, 50, 295-300. https://doi.org/10.1016/j.procs.2015.04.045
Rizvi, A. A., & Bhadauria, A. (2023). Celebrity Advertisement for Indian Rural Buyers: A Myth for Success. Management Theory and Studies for Rural Business and Infrastructure Development, 45(1), 37-45. https://doi.org/10.15544/mts.2023.05
Rout, K., Sahoo, P. R., Bhuyan, A., Tripathy, A., & Smrutirekha. (2022). Online grocery shopping behavior during COVID-19 pandemic: An interdisciplinary explanation. Cogent Business & Management, 9(1). https://doi.org/10.1080/23311975.2022.2084969
Santos, M. L. B. d. (2021). The “so-called” UGC: an updated definition of user-generated content in the age of social media. Online Information Review, 46(1), 95-113. https://doi.org/10.1108/oir-06-2020-0258
Sauer, C. (2013). Powerful analytical tools help CUs extract actionable trends from mountains of data. Credit Union Magazine., 79(10), 28-32.
Schimmelpfennig, C., & Hunt, J. B. (2019). Fifty years of celebrity endorser research: Support for a comprehensive celebrity endorsement strategy framework. Psychology & Marketing, 37(3), 488-505. https://doi.org/10.1002/mar.21315
Schouten, A. P., Janssen, L., & Verspaget, M. (2019). Celebrity vs. Influencer endorsements in advertising: the role of identification, credibility, and Product-Endorser fit. International Journal of Advertising, 39(2), 258-281. https://doi.org/10.1080/02650487.2019.1634898
Seo, E. J., Park, J.-W., & Choi, Y. J. (2020). The Effect of Social Media Usage Characteristics on e-WOM, Trust, and Brand Equity: Focusing on Users of Airline Social Media. Sustainability, 12(4). https://doi.org/10.3390/su12041691
Sharon, T., & John, N. A. (2018). Unpacking (the) secret: Anonymous social media and the impossibility of networked anonymity. New Media & Society, 20(11), 4177-4194. https://doi.org/10.1177/1461444818768547
Sheehan, K. B., & Morrison, D. K. (2009). The Creativity Challenge. Journal of Interactive Advertising, 9(2), 40-43. https://doi.org/10.1080/15252019.2009.10722154
Sherman, S. P. (1985). When you wish upon a star. CNN Money. https://money.cnn.com/magazines/fortune/fortune_archive/1985/08/19/66318/
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. 22(2), 159-170. https://doi.org/https://doi.org/10.1016/0148-2963(91)90050-8
Simonin, B. L., & Ruth, J. A. (1998). Is a Company Known by the Company It Keeps? Assessing the Spillover Effects of Brand Alliances on Consumer Brand Attitudes. Journal of Marketing Research, 35(1). https://doi.org/10.2307/3151928
Smith, A. N., & Fischer, E. (2020). Pay attention, please! Person brand building in organized online attention economies. Journal of the Academy of Marketing Science, 49(2), 258-279. https://doi.org/10.1007/s11747-020-00736-0
Smith, T., Coyle, J. R., Lightfoot, E., & Scott, A. (2007). Reconsidering Models of Influence: The Relationship between Consumer Social Networks and Word-of-Mouth Effectiveness. Journal of Advertising Research, 47(4), 387-397.
Smythe, D. W. (1981). On the Audience Commodity and Its Work. Media and Cultural Studies: Keyworks, 230-256.
Sokolova, M., Japkowicz, N., & Szpakowicz, S. (2006). Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. In AI 2006: Advances in Artificial Intelligence (pp. 1015-1021). https://doi.org/10.1007/11941439_114
Spitale, G., Biller-Andorno, N., & Germani, F. (2023). AI model GPT-3 (dis)informs us better than humans. https://doi.org/https://doi.org/10.48550/arXiv.2301.1192
Steenis, N. D., van Herpen, E., van der Lans, I. A., Ligthart, T. N., & van Trijp, H. C. M. (2017). Consumer response to packaging design: The role of packaging materials and graphics in sustainability perceptions and product evaluations. Journal of Cleaner Production, 162, 286-298. https://doi.org/10.1016/j.jclepro.2017.06.036
Su, Y.-J., Hu, W.-C., Jiang, J.-H., & Su, R.-Y. (2020). A novel LMAEB-CNN model for Chinese microblog sentiment analysis. The Journal of Supercomputing, 76(11), 9127-9141. https://doi.org/10.1007/s11227-020-03198-x
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220. https://doi.org/https://doi.org/10.1016/S0022-4359(01)00041-0
Syed, A. A., & Zaidi, H. (2023). Effectiveness of Social Media Influencers in Brand Purchase Intention. International Management Review., 133-142.
Taylor, C. R. (2015). The Six Principles of Digital Advertising. International Journal of Advertising, 28(3), 411-418. https://doi.org/10.2501/s0265048709200679
Teas, R. K., & Agarwal, S. (2000). The Effects of Extrinsic Product Cues on Consumers' Perceptions of Quality, Sacrifice, and Value. Journal of the Academy of Marketing Science., 28(2), 278-290. https://doi.org/10.1177/0092070300282008
TechBlogger. (2018). 8 Characteristics of big data. Tech Blogger. https://contenteratechspace.com/blogs/8-characteristics-of-big-data/
Tian, S., Tao, W., Hong, C., & Tsai, W.-H. S. (2021). Meaning transfer in celebrity endorsement and co-branding: meaning valence, association type, and brand awareness. International Journal of Advertising, 41(6), 1017-1037. https://doi.org/10.1080/02650487.2021.1940059
Tiwari, P. N., & Manral, J. (2021). A Study On The Influence Of Celebrity Endorsement On Women's Purchase Behaviour For Beauty Care Products. CLEAR International Journal of Research in Commerce & Management., 12(10), 1-7.
Truso, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site. Journal of Marketing, 73(5), 90-102. https://doi.org/https://doi.org/10.1509/jmkg.73.5.90
Valencia Saravia, J., & Wang, S. (2016). Why Best Buy's Dual Brand Strategy Failed in Canada. Professional Geographer, 68(4), 650-662. https://doi.org/10.1080/00330124.2016.1140495
Van der Lans, R., Pieters, R., & Wedel, M. (2008). Research Note—Competitive Brand Salience. Marketing Science, 27(5), 922-931. https://doi.org/10.1287/mksc.1070.0327
Van Es, K. (2019). YouTube’s Operational Logic: “The View” as Pervasive Category. Television & New Media, 21(3), 223-239. https://doi.org/10.1177/1527476418818986
Varadarajan, P. R. (1986). Horizontal Cooperative Sales Promotion: A Framework for Classification and Additional Perspectives. Journal of Marketing, 50(2), 61-73.
Wang, S., & Ku, L. (2016). ANTUSD: A Large Chinese Sentiment Dictionary. International Conference on Language Resources and Evaluation.
Wang, S. W., & Scheinbaum, A. C. (2018). Enhancing Brand Credibility Via Celebrity Endorsement. Journal of Advertising Research, 58(1), 16-32. https://doi.org/10.2501/jar-2017-042
Wang, W., Wei, J., Xu, H., Miao, S., & Liao, Y. (2023). Social media marketing contributes to customer value The role of customer engagement. Social Behavior & Personality: an international journal., 51(8), 1-8. https://doi.org/10.2224/sbp.12532
Wiedmann, K.-P., & von Mettenheim, W. (2020). Attractiveness, trustworthiness and expertise – social influencers’ winning formula? Journal of Product & Brand Management, 30(5), 707-725. https://doi.org/10.1108/jpbm-06-2019-2442
Xia, L., Monroe, K. B., & Cox, J. L. (2004). The Price is Unfair! A Conceptual Framework of Price Fairness Perceptions. Journal of Marketing, 68(4), 1-15. https://doi.org/https://doi.org/10.1509/jmkg.68.4.1.42733
Yap, T. W. (2022). The Mediating Effects of Perceived Value Between the Relationship of Social Media Marketing and Purchase Intention. DLSU Business & Economics Review, 31(2), 125-136.
Ye, S., Ho, K. K. W., & Zerbe, A. (2021). The effects of social media usage on loneliness and well-being: analysing friendship connections of Facebook, Twitter and Instagram. Information Discovery and Delivery, 49(2), 136-150. https://doi.org/10.1108/idd-08-2020-0091
Ying, L., Korneliussen, T., & Grønhaug, K. (2015). The effect of ad value, ad placement and ad execution on the perceived intrusiveness of web advertisements. International Journal of Advertising, 28(4), 623-638. https://doi.org/10.2501/s0265048709200795
Yu, C. Z., Chan, T. J., & Asnira Zolkepli, I. (2023). Bridging social media content and re-purchasing behavior: The mediation role of interactivity and e-WOM. International Journal of Data and Network Science, 7(1), 251-264. https://doi.org/10.5267/j.ijdns.2022.10.008
Yu, Z., & Song, X. (2021). User Intention of Anonymous Social Application “Soul” in China: Analysis based on an Extended Technology Acceptance Model. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 2898-2921. https://doi.org/10.3390/jtaer16070159
Yuan, C., Wang, S., & Yu, X. (2020). The impact of food traceability system on consumer perceived value and purchase intention in China. Industrial Management & Data Systems, 120(4), 810-824. https://doi.org/10.1108/imds-09-2019-0469
Zafarani, R., Abbasi, M. A., & Liu, H. (2014). Social Media Mining: An Introduction. (Cambridge University Press: Cambridge)
Zarriello, A. (2015). A Call to the Bullpen: Alternatives to the Morality Clause as Endorsement Companies' Main Protection Against Athletic Scandal. Boston College Law Review, 56(1), 388-431.
Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing., 52(3), 2-22. https://doi.org/10.1177/002224298805200302
Zhang, S., Sussman, A. B., Hsee, C. K., Inman, J. J., & Bagchi, R. (2021). A Dragging-Down Effect: Consumer Decisions in Response to Price Increases. Journal of Consumer Research, 47(5), 772-786. https://doi.org/10.1093/jcr/ucaa031
Zhao, Y., Zhao, X., & Liu, Y. (2022). Exploring the Impact of Online and Offline Channel Advantages on Brand Relationship Performance: The Mediating Role of Consumer Perceived Value. Behav Sci (Basel), 13(1). https://doi.org/10.3390/bs13010016
Zhou, S., Blazquez, M., McCormick, H., & Barnes, L. (2021). How social media influencers’ narrative strategies benefit cultivating influencer marketing: Tackling issues of cultural barriers, commercialised content, and sponsorship disclosure. Journal of Business Research, 134, 122-142. https://doi.org/10.1016/j.jbusres.2021.05.011