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研究生: 黃熙文
Huang, Hsi-Weng
論文名稱: 探索美食網紅的美食分享 : 檢視美食內容品質、來源可信度、美食社群參與度與資訊採用模型之關係
Exploring the Relationship between Food Content Quality, Source Credibility, Food Community Engagement, and Information Adoption Model in Food Influencer Sharing
指導教授: 方進義
Fang, Chin-Yi
口試委員: 方進義
Fang, Chin-Yi
王媛慧
Wang, Yuan-Hui
吳敏華
Wu, Min-Hua
口試日期: 2024/06/20
學位類別: 碩士
Master
系所名稱: 運動休閒與餐旅管理研究所
Graduate Institute of Sport, Leisure and Hospitality Management
論文出版年: 2024
畢業學年度: 112
語文別: 中文
論文頁數: 144
中文關鍵詞: IAM模型美食網紅美食社群參與度消費者行為意圖
英文關鍵詞: IAM, food influencers, food communities engagement, consumer intentions
研究方法: 量化研究
DOI URL: http://doi.org/10.6345/NTNU202401091
論文種類: 學術論文
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  • 隨著社群媒體平臺的盛行,改變了人們的社交互動方式,成為建立人際關係、傳播資訊和意見的主要途徑。現今美食超越旅遊,成為臺灣最多關鍵意見領袖經營的主題,是SNS使用者最熱衷的類型之一。美食網紅透過分享美食內容和評價,不僅影響消費者的行為意圖,還深刻地影響了消費者對分享內容的有用性評估、參與度與採用態度,已成為人們評估一家餐廳是否值得品嚐或拜訪的重要標準。本研究使用資訊採用模型 (Information Adoption Model, IAM) 探討美食內容品質與來源可信度與消費者行為意圖 (品嚐意願、持續使用意願) 之關聯性,觀察知覺有用性對資訊採用態度和美食社群參與度的影響力,了解來源可信度是否影響美食社群參與度,進而影響到消費者之行為意圖。本研究以過去文獻建構問卷,並經10位異質性專家檢視,修正3題。正式問卷以立意抽樣之方式,在 113 年 3 月 2 日到 3 月 13 日於Facebook、Instagram、Dcard和LINE社群進行問卷發放,共回收 552 份問卷,519 份有效問卷 (有效回收率94.1%)。本研究先以 SPSS 23.0 檢測敘述性統計與信度分析,再以 AMOS 26.0 檢驗結構方程式模型。結果顯示IAM模型中美食內容品質、來源可信度對知覺有用性、知覺有用性對資訊採用態度與資訊採用態度之於消費者行為意圖均具有正向顯著影響效果,同時來源可信度和知覺有用性正向顯著影響美食社群參與度,進而提升消費者的品嚐意願和持續使用意願,而知覺有用性在美食內容品質和來源可信度對資訊採用態度的影響中具中介作用;資訊採用態度在知覺有用性對品嚐意願和持續使用意願的影響中也具有中介效果,而美食社群參與度作為中介變數在來源可信度對品嚐意願和持續使用意願均產生顯著影響,得出結論美食網紅應注重社群媒體形象,提升其內容品質,確保分享準確可靠。與餐飲業者合作須了解餐點,確保符合消費者期待。餐飲業者應重視美食網紅之選擇去提升內容品質,透過行銷擴大消費者基礎,增加品牌曝光。

    With the prevalence of social media platforms, people's social interaction patterns have changed, becoming the primary means of establishing interpersonal relationships, disseminating information, and opinions. Today, food has surpassed travel to become one of the most actively pursued themes by key opinion leaders in Taiwan, making it one of the most popular types among social media users. Food influencers share food content and reviews, not only influencing consumer behavioral intentions but also profoundly affecting consumers' evaluations of the usefulness of shared content, engagement, and adoption attitudes. It has become an important criterion for people to evaluate whether a restaurant is worth tasting or visiting. This study uses the Information Adoption Model (IAM) to explore the relationship between the quality and credibility of food content sources and consumer behavioral intentions (willingness to taste, willingness to continue usage). It observes the impact of perceived usefulness on information adoption attitudes and food community engagement to understand whether source credibility affects food community engagement and consequently affects consumer behavioral intentions. The study constructed a questionnaire based on past literature and revised three questions after examination by 10 heterogeneous experts. The formal questionnaire was distributed via purposive sampling on Facebook, Instagram, Dcard, and LINE communities from March 2 to March 13 in the year 2024, with a total of 552 responses collected, of which 519 were valid (a valid response rate of 94.1%). Descriptive statistics and reliability analysis were conducted using SPSS 23.0, followed by structural equation modeling using AMOS 26.0. The results show significant correlations among the various dimensions of the IAM model. Perceived usefulness plays an intermediary role in the influence of food content quality and source credibility on information adoption attitudes. Information adoption attitudes also have an intermediary effect on the influence of perceived usefulness on willingness to taste and willingness to continue usage. Food community engagement, as an intermediary variable, has a significant impact on both willingness to taste and willingness to continue usage in the influence of source credibility. It is concluded that food influencers should focus on their social media image, improve the quality of their content, and ensure accurate and reliable sharing. Collaboration with food establishments should involve understanding their offerings to meet consumer expectations. Food establishments should prioritize the selection of food influencers to enhance content quality, expand consumer bases through marketing, and increase brand exposure.

    謝辭 i 摘要 ii Abstract iv 目次 vi 表次 ix 圖次 xi 第壹章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 4 第三節 研究範圍 5 第四節 研究重要性 5 第五節 研究流程 8 第六節 操作型定義 11 第貳章 文獻探討 13 第一節 網紅與美食網紅的定義 13 第二節 推敲可能性模型與科技接受模型 14 第三節 資訊採用模型 18 第四節 美食社群參與度 21 第五節 消費者行為意圖 23 第六節 知覺有用性之中介效果 27 第七節 資訊採用態度之中介效果 29 第八節 美食社群參與度之中介效果 30 第參章 研究方法 35 第一節 研究架構與研究假說 35 第二節 研究對象與問卷設計 39 第三節 專家效度審查 40 第四節 資料分析方法 42 第五節 預試結果分析 44 第六節 共同方法變異 47 第肆章 研究結果 49 第一節 敘述性統計分析 50 第二節 測量模型 55 第三節 結構模型 65 第四節 中介效果檢驗 82 第五節 結果分析及討論 89 第伍章 結論與建議 100 第一節 理論意涵 100 第二節 管理意涵 102 第三節 結論 105 第四節 研究限制與未來建議 107 參考文獻 109 附錄 133 附錄一 專家效度問卷 133 附錄二 正式問卷 141

    Admin (2024,1月13日)。揭密網紅行銷的成功要素-信任度的建立。SMART健康生活資訊站。https://blog2.ibie.org.tw/blog/2024/01/13/%E6%8F%AD%E5%AF%86%E7%B6%B2%E7%B4%85%E8%A1%8C%E9%8A%B7%E7%9A%84%E6%88%90%E5%8A%9F%E8%A6%81%E7%B4%A0%EF%BC%8D%E4%BF%A1%E4%BB%BB%E5%BA%A6%E7%9A%84%E5%BB%BA%E7%AB%8B/
    Influenxio (2020,10月12日)。【餐廳宣傳】餐廳行銷|社群經營怎麼做?。Influenxio。https://blog.influenxio.com/restaurant-social-marketing/
    Ocard Blog (2024,無日期)。餐廳怎麼找網紅?餐飲業口碑行銷全攻略|2024 數位轉型必修課。Ocard Blog。2024年5月15日擷取自 https://blog.ocard.co/knowhow/ms-kol-wom-marketing/
    PF網紅配方 (2023,11月23日)。社群行銷革命:美食品牌如何透過網紅引領潮流?。PF網紅配方。https://www.prefluencer.com/articles/detail/7b8721e1-e414-498e-b6b7-b4276217423e
    Sorla (2023,2月2日)。突破餐飲業瓶頸,了解社群媒體行銷下餐廳行銷手段。GeniusHub 萬智匯。https://geniushub.cc/socialmarketing_catering/
    TechOrange 科技報橘 & KOL Radar (2023,11 月01日)。2023 臺灣百大影響力網紅數據洞察報告書。TechOrange 科技報橘 & KOL Radar。https://www.kolradar.com/?utm_source=whitepaper&utm_medium=content&utm_campaign=whitepaper_2023trendreport_homepage&utm_content=20230302
    朱嬋妮 (2023)。臺灣 Instagram 美食網紅影響力行銷對消費者信任度研究-以消費者 信任度與購買意願間調節效應為核心 [碩士論文,國立高雄科技大學]。臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/86892r
    吳明隆、涂金堂 (2014)。SPSS與統計應用分析。五南圖書出版股份有限公司。
    吳彥宏、吳政叡 (2015)。美食部落格介面的使用性評估初探。大學圖書館,19(2),48-68。https://doi.org/10.6146/univj.19-2.03
    吳修豪 (2023,3月10日)。網紅定義是什麼?一篇詳細解析網紅意思與網紅行銷帶來的5大轉變。Just AD網紅行銷趨勢行銷專欄。https://www.just-adtech.com/influencer-definition/
    宋洋娜 (2021)。美食網紅影片對泰國消費者餐廳惠顧意圖的影響:以 Instagram 為例 [碩士論文,逢甲大學]。臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/xnpj58
    李欣宜 (2020)。探索 Instagram 美食網紅的圖片溝通方式與互動率之關係 [碩士論文,國立臺灣師範大學]。臺灣博碩士論文知識加值系統。http://doi.org/10.6345/NTNU202001074
    周宇貞、趙苓雅、張佩庭 (2021)。美食網紅之代言溝通效果。觀光與休閒管理期刊, 9, 80-86。 https://doi.org/10.6510/JTLM.202108/SP_9.0008
    洪維謙 (2011)。部落格美食口碑資訊採用之研究 [碩士論文,朝陽科技大學]。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-2611201410142517
    徐茂洲、顏漢平 (2013)。高中生觀賞NBA林書豪球賽者之行為模式之研究。International Journal of Lisrel,6(1),24-56。https://www.airitilibrary.com/Article/Detail?DocID=a0000473-201303-201303210003-201303210003-24-56
    張偉豪 (2011)。論文寫作 SEM 不求人。三星統計發行。
    黃珮瑄 (2021,8月16日)。掌握網紅行銷關鍵數據,三大行銷人必知指標Q&A。Just AD就是廣告科技。https://www.just-adtech.com/pointer/
    楊馨惠 (2012)。旅遊部落格瀏覽者之資訊採用行為:結構關係模型的應用 [碩士論文,國立臺灣大學]。華藝線上圖書館。https://doi.org/10.6342/NTU.2012.10001
    盧姵臻 (2022)。觀眾對美食網紅業配美食影片之真實性知覺對購買意圖的影響:結合意義轉移理論的觀點 [碩士論文,朝陽科技大學]。臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/zn3wp3
    Acikgoz, F., Busalim, A., & Lynn, T. (2023, June 11-16). Antecedents of Information Adoption of Sharing Mobile Social Commerce Experience: The Mediation Role of Trust [Oral presentation]. 2023 European Conference on Information Systems, Kristiansand, Norway. https://aisel.aisnet.org/ecis2023_rp/140
    Aderonke, A. A., & Charles, A. K., PhD. (2010). An empirical investigation of the level of users' acceptance of E-banking in nigeria. Journal of Internet Banking and Commerce, 15(1), 1-13.
    https://0-www.proquest.com.opac.lib.ntnu.edu.tw/scholarly-journals/empirical-investigation-level-users-acceptance-e/docview/503276870/se-2
    Aghakhani, N., Oh, O., Gregg, D. G., & Karimi, J. (2021). Online review consistency matters: An elaboration likelihood model perspective. Information Systems Frontiers, 23, 1287-1301. https://doi.org/10.1007/s10796-020-10030-7
    Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In J. Kuhl & J. Beckmann (Eds), SSSP Springer Series in Social Psychology (pp.11–39). Springer. https://doi.org/10.1007/978-3-642-69746-3_2
    Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888–918.
    https://doi.org/10.1037/0033-2909.84.5.888
    Akdevelioglu, D., & Kara, S. (2020). An international investigation of opinion leadership and social media. Journal of Research in Interactive Marketing, 14(1), 71-88. https://doi.org/10.1108/JRIM-11-2018-0155
    Al Khasawneh, M., Abuhashesh, M., Ahmad, A., Masa’deh, R., & Alshurideh, M. T. (2021). Customers online engagement with social media influencers’ content related to COVID 19. The effect of coronavirus disease (COVID-19) on business intelligence, 334, 385-404. https://doi.org/10.1007/978-3-030-67151-8_22
    Al Mutair, A., Al Mutairi, A., Chagla, H., Alawam, K., Alsalman, K., & Ali, A. (2020). Examining and adapting the psychometric properties of the Maslach burnout inventory-health services survey (MBI-HSS) among healthcare professionals. Applied Sciences, 10(5), 1890. https://doi.org/10.3390/app10051890
    Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and informatics, 34(7), 1177-1190. https://doi.org/10.1016/j.tele.2017.05.008
    Al-Emadi, F. A., & Yahia, I. B. (2020). Ordinary celebrities related criteria to harvest fame and influence on social media. Journal of Research in Interactive Marketing, 14(2), 195-213. https://doi.org/10.1108/JRIM-02-2018-0031
    Aljumah, A., Nuseir, M. T., & Alshurideh, M. T. (2021). The Impact of Social Media Marketing Communications on Consumer Response During the COVID-19: Does the Brand Equity of a University Matter? In M.T. Alshurideh, Aboul Ella Hassanien & Ra’ed Masa’deh (Eds.), Studies in Systems, Decision and Control (pp. 367-384). Springer Science and Business Media Deutschland GmbH.
    https://doi.org/10.1007/978-3-030-67151-8_21
    Anastasiei, B., & Chiosa, A. R. (2018). Antecedents of Word-of-Mouth Communication and Purchase intention on facebook. Journal of Marketing and Consumer Behaviour in Emerging Markets, 2(8), 33-45. https://www.ceeol.com/search/article-detail?id=795104
    Andrews, L., & Bianchi, C. (2013). Consumer internet purchasing behavior in Chile. Journal of Business Research, 66(10), 1791-1799. https://doi.org/10.1016/j.jbusres.2013.01.012
    Asnakew, Z. S. (2020). Customers’ continuance intention to use mobile banking: development and testing of an integrated model. The Review of Socionetwork Strategies, 14(1), 123-146. https://doi.org/10.1007/s12626-020-00060-7
    Asparouhov, T., & Muthén, B. (2018, May 2). SRMR in Mplus.
    https://www.statmodel.com/download/SRMR2.pdf
    Ayeh, J. K. (2015). Travellers’ acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories. Computers in Human Behavior, 48, 173-180. https://doi.org/10.1016/j.chb.2014.12.049
    Ayeh, J. K., Au, N., & Law, R. (2013). Predicting the intention to use consumer-generated media for travel planning. Tourism management, 35, 132-143.
    https://doi.org/10.1016/j.tourman.2012.06.010
    Aypar, S., & Kazancioğlu, İ. (2020). THE EFFECT OF FOOD INFLUENCERS ON CONSUMERS’ INTENTION TO PURCHASE FOOD PRODUCTS/SERVICES. Journal of Gastronomy Hospitality and Travel, 3(2), 150-163.
    https://dergipark.org.tr/en/pub/joghat/issue/59161/850780
    Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74-94. http://dx.doi.org/10.1007/BF02723327
    Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173.
    https://doi.org/10.1037/0022-3514.51.6.1173
    Basuki, R., Siagian, H., & Tarigan, Z. J. H. (2021). The Influence Of The Technology Acceptance Model Using Social Media In Indonesian Film Consumer Engagement (Doctoral dissertation, Petra Christian University). http://icsh.petra.ac.id/current/
    Bataineh, A. Q., & Al-Smadi, H. M. (2015). Factors impact customers engagement in eWOM on SNSs of non-profit organizations: the moderating role of habit. International Journal of Business and Management, 10(6), 178. https://doi.org/10.5539/ijbm.v10n6p178
    Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision support systems, 32(2), 201-214.
    https://doi.org/10.1016/S0167-9236(01)00111-7
    Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS quarterly, 30(4), 805-825. https://doi.org/10.2307/25148755
    Bianchi, C., & Andrews, L. (2018). Consumer engagement with retail firms through social media: an empirical study in Chile. International Journal of Retail & Distribution Management, 46(4), 364-385. https://doi.org/10.1108/IJRDM-02-2017-0035
    Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer. Frontiers in Public Health, 6, 149-149.
    https://doi.org/10.3389/fpubh.2018.00149
    Brison, N. T., & Geurin, A. N. (2021). Social media engagement as a metric for ranking US Olympic athletes as brand endorsers. Journal of Interactive Advertising, 21(2), 121-138.
    https://doi.org/10.1080/15252019.2021.1919251
    Brodie, R. J., Ilic, A., Juric, B., & Hollebeek, L. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. Journal of business research, 66(1), 105-114.
    https://doi.org/10.1016/j.jbusres.2011.07.029
    Camilleri, M. A., & Kozak, M. (2022). Utilitarian motivations to engage with travel websites: an interactive technology adoption model. Journal of Services Marketing, 37(1), 96-109. https://doi.org/10.1108/JSM-12-2021-0477
    Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e‐commerce web site quality: an empirical examination. Industrial management & data systems, 105(5), 645-661.
    https://doi.org/10.1108/02635570510600000
    Carvalho, R. C. D., & Medeiros, D. D. D. (2021). Assessing quality of air transport service: a comparative analysis of two evaluation models. Current Issues in Tourism, 24(8), 1123-1138. https://doi.org/10.1080/13683500.2020.1765750
    Chan, X. Y., Rahman, M. K., Mamun, A. A., A. Salameh, A., Wan Hussain, W. M. H., & Alam, S. S. (2022). Predicting the intention and adoption of mobile shopping during the COVID-19 lockdown in Malaysia. Sage Open, 12(2), 21582440221095012.
    https://doi.org/10.1177/21582440221095012
    Chang, Y. T., Yu, H., & Lu, H. P. (2015). Persuasive messages, popularity cohesion, and message diffusion in social media marketing. Journal of Business Research, 68(4), 777-782. https://doi.org/10.1016/j.jbusres.2014.11.027
    Chen, Y. C., & Chai, C. C. (2023). Development of a two-way mentorship scale focusing on next-generation core competencies. Humanities and Social Sciences Communications, 10(1), 1-13. https://doi.org/10.1057/s41599-023-02093-z
    Cheung, C. M., Lee, M. K., & Rabjohn, N. (2008). The impact of electronic word‐of‐mouth: The adoption of online opinions in online customer communities. Internet research, 18(3), 229-247. https://doi.org/10.1108/10662240810883290
    Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41, 745-783. https://doi.org/10.1007/s10490-023-09871-y
    Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International journal of electronic commerce, 13(4), 9-38.
    https://doi.org/10.2753/JEC1086-4415130402
    Chiu, C. Y., Chen, S., & Chen, C. L. (2017). An integrated perspective of TOE framework and innovation diffusion in broadband mobile applications adoption by enterprises. International Journal of Management, Economics and Social Sciences (IJMESS), 6(1), 14-39. https://hdl.handle.net/10419/157921
    Chow, N. C., & Yeh, I. J. (2022). Correlation Between Learning Motivation and Satisfaction in Synchronous On-the-Job Online Training in the Public Sector. Frontiers in Psychology, 13, 789252. https://doi.org/10.3389/fpsyg.2022.789252
    Chu, S. C., & Kamal, S. (2008). The effect of perceived blogger credibility and argument quality on message elaboration and brand attitudes: An exploratory study. Journal of interactive Advertising, 8(2), 26-37. https://doi.org/10.1080/15252019.2008.10722140
    Clara, C. (2023). Celebrity Endorsements And Its Brand Love On Purchase Intention At E-Marketplace. Jurnal Manajemen, 27(1), 41-61. http://eprints.ukmc.ac.id/id/eprint/9456
    Colliander, J., & Dahlén, M. (2011). Following the fashionable friend: The power of social media: Weighing publicity effectiveness of blogs versus online magazines. Journal of advertising research, 51(1), 313-320. https://doi.org/10.2501/JAR-51-1-313-320
    Colton, D. A. (2018). Antecedents of consumer attitudes’ toward corporate blogs. Journal of Research in Interactive Marketing, 12(1), 94-104.
    https://doi.org/10.1108/JRIM-08-2017-0075
    Cosenza, T. R., Solomon, M. R., & Kwon, W. S. (2015). Credibility in the blogosphere: A study of measurement and influence of wine blogs as an information source. Journal of consumer behaviour, 14(2), 71-91. https://doi.org/10.1002/cb.1496
    Cox, A. M., & Blake, M. K. (2011). Information and food blogging as serious leisure. Perspectives, 63(2/3), 204-220. https://doi.org/10.1108/00012531111135664
    Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological methods, 1(1), 16. https://doi.org/10.1037/1082-989X.1.1.16
    Dadvari, A., & Do, B. R. (2019). Modeling Gen Z continuance intention toward ubiquitous media system: Applying technology readiness and technology acceptance model. International Journal of Information and Management Sciences, 30(1), 37-56. https://doi.org/10.6186/IJIMS.201903_30(1).0003
    Daowd, A., Hasan, R., Eldabi, T., Rafi-ul-Shan, P. M., Cao, D., & Kasemsarn, N. (2021). Factors affecting eWOM credibility, information adoption and purchase intention on Generation Y: a case from Thailand. Journal of enterprise information management, 34(3), 838-859. https://doi.org/10.1108/JEIM-04-2019-0118
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
    De Oliveira Santini, F., Ladeira, W. J., Pinto, D. C., Herter, M. M., Sampaio, C. H., & Babin, B. J. (2020). Customer engagement in social media: a framework and meta-analysis. Journal of the Academy of Marketing Science, 48, 1211-1228.
    https://doi.org/10.1007/s11747-020-00731-5
    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
    DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.
    https://doi.org/10.1287/isre.3.1.60
    Dessart, L. (2017). Social media engagement: a model of antecedents and relational outcomes. Journal of Marketing Management, 33(5-6), 375-399.
    https://doi.org/10.1080/0267257X.2017.1302975
    Djafarova, E., & Rushworth, C. (2017). Exploring the credibility of online celebrities' Instagram profiles in influencing the purchase decisions of young female users. Computers in human behavior, 68, 1-7. https://doi.org/10.1016/j.chb.2016.11.009
    Elangovan, N., & Sundaravel, E. (2021). Method of preparing a document for survey instrument validation by experts. MethodsX, 8, 101326 -101326.
    https://doi.org/10.1016/j.mex.2021.101326
    Elena, C. A. (2016). Social media–a strategy in developing customer relationship management. Procedia Economics and Finance, 39, 785-790.
    https://doi.org/10.1016/S2212-5671(16)30266-0
    Erasmus, A. C., Boshoff, E., & Rousseau, G. G. (2001). Consumer decision-making models within the discipline of consumer science: a critical approach. Journal of Consumer Sciences, 29. https://www.ajol.info/index.php/jfecs/article/view/52799
    Erdogan, B. Z. (1999). Celebrity endorsement: A literature review. Journal of marketing management, 15(4), 291-314. https://doi.org/10.1362/026725799784870379
    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
    Fan, Y., Chen, J., Shirkey, G., John, R., Wu, S. R., Park, H., & Shao, C. (2016). Applications of structural equation modeling (SEM) in ecological studies: an updated review. Ecological Processes, 5(1), 1-12. https://doi.org/10.1186/s13717-016-0063-3
    Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of business research, 68(6), 1261-1270. https://doi.org/10.1016/j.jbusres.2014.11.006
    Filieri, R., Acikgoz, F., Ndou, V., & Dwivedi, Y. (2021). Is TripAdvisor still relevant? The influence of review credibility, review usefulness, and ease of use on consumers’ continuance intention. International Journal of Contemporary Hospitality Management, 33(1), 199-223. https://doi.org/10.1108/IJCHM-05-2020-0402
    Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley. http://worldcat.org/isbn/0201020890
    Florenthal, B. (2019). Young consumers’ motivational drivers of brand engagement behavior on social media sites: A synthesized U&G and TAM framework. Journal of Research in Interactive Marketing, 13(3), 351-391. https://doi.org/10.1108/JRIM-05-2018-0064
    Forbes, J. E. (2010). Measuring consumer perceptions of credibility, engagement, interactivity and brand metrics of social network sites. Louisiana State University and Agricultural & Mechanical College. https://doi.org/10.31390/gradschool_theses.1513
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
    France, C., Merrilees, B., & Miller, D. (2016). An integrated model of customer-brand engagement: Drivers and consequences. Journal of Brand Management, 23, 119-136. https://doi.org/10.1057/bm.2016.4
    Fuller, C. M., Simmering, M. J., Atinc, G., Atinc, Y., & Babin, B. J. (2016). Common methods variance detection in business research. Journal of business research, 69(8), 3192-3198. https://doi.org/10.1016/j.jbusres.2015.12.008
    García-Avilés, J. A. (2012). Roles of audience participation in multiplatform television: From fans and consumers, to collaborators and activists. Participations: Journal of Audience & Reception Studies, 9(2), 429-447.
    García-Rapp, F., & Roc-Cuberes, C. (2017). Being an online celebrity: Norms and expectations of YouTube's beauty community. First Monday, 22(7), 1-26.
    https://doi.org/10.5210/fm.v22i7.7788
    Gavilanes, J. M., Flatten, T. C., & Brettel, M. (2018). Content strategies for digital consumer engagement in social networks: Why advertising is an antecedent of engagement. Journal of Advertising, 47(1), 4-23.
    https://doi.org/10.1080/00913367.2017.1405751
    Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 27(1), 51-90. https://doi.org/10.2307/30036519
    Geissinger, A., & Laurell, C. (2016). User engagement in social media–an explorative study of Swedish fashion brands. Journal of Fashion Marketing and Management, 20(2), 177-190. https://doi.org/10.1108/JFMM-02-2015-0010
    Geng, R., Wang, S., Chen, X., Song, D., & Yu, J. (2020). Content marketing in e-commerce platforms in the internet celebrity economy. Industrial Management & Data Systems, 120(3), 464-485. https://doi.org/10.1108/IMDS-05-2019-0270
    George, D., Theofanis, K., & Konstantinos, A. (2015). Factors associated with internal audit effectiveness: Evidence from Greece. Journal of Accounting and Taxation, 7(7), 113-122. https://doi.org/10.5897/JAT2015.0182
    Ghazali, E. M., Mutum, D. S., Chong, J. H., & Nguyen, B. (2018). Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia. Asia Pacific Journal of Marketing and Logistics, 30(4), 1064-1086.
    https://doi.org/10.1108/APJML-05-2017-0093
    Gunawan, D. D., & Huarng, K. H. (2015). Viral effects of social network and media on consumers’ purchase intention. Journal of Business Research, 68(11), 2237-2241.
    https://doi.org/10.1016/j.jbusres.2015.06.004
    Gupta, A., Kumar, A., & Melese, E. (2023). Young consumer engagement at the bottom of pyramid: applying SOR framework in e-commerce context. Young Consumers, 24(6), 786-806. https://doi.org/10.1108/YC-06-2022-1542
    Hair Jr., J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis (5th ed.). Prentice Hall.
    https://www.scirp.org/reference/ReferencesPapers?ReferenceID=1519308
    Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the academy of marketing science, 45(5), 616-632. https://doi.org/10.1007/s11747-017-0517-x
    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long range planning, 46(1-2), 1-12. https://ssrn.com/abstract=2233795
    Hair, J. F., Sarstedt, M., & Ringle, C. (2012). Partial Least Squares: The Better Approach to Structural Equation Modeling?. Long Range Planning, 45(5), 312-319.
    https://doi.org/10.1016/j.lrp.2012.09.011
    Han, Y., Lappas, T., & Sabnis, G. (2020). The importance of interactions between content characteristics and creator characteristics for studying virality in social media. Information Systems Research, 31(2), 576-588.
    https://doi.org/10.1287/isre.2019.0903
    Hanike, Y., & Damirah, D. (2018). Modifikasi model analisis structural equation model (SEM) pada reaksi pasar di Perusahaan Bursa Efek Indonesia melalui Modification Indices. Matematika dan Pembelajaran, 6(2), 127-142.
    http://dx.doi.org/10.33477/mp.v6i2.665
    Hasson, F., & Keeney, S. (2011). Enhancing rigour in the Delphi technique research. Technological forecasting and social change, 78(9), 1695-1704.
    https://doi.org/10.1016/j.techfore.2011.04.005
    Hendijani Fard, M., & Marvi, R. (2020). Viral marketing and purchase intentions of mobile applications users. International Journal of Emerging Markets, 15(2), 287-301. https://doi.org/10.1108/IJOEM-06-2018-0291
    Hepola, J., Leppäniemi, M., & Karjaluoto, H. (2020). Is it all about consumer engagement? Explaining continuance intention for utilitarian and hedonic service
    consumption. Journal of Retailing and Consumer Services, 57, 102232.
    https://doi.org/10.1016/j.jretconser.2020.102232
    Hollebeek, L. (2011). Exploring customer brand engagement: definition and themes. Journal of strategic Marketing, 19(7), 555-573. https://doi.org/10.1080/0965254X.2011.599493
    Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of interactive marketing, 28(2), 149-165. https://doi.org/10.1016/j.intmar.2013.12.002
    Howard, M. C., & Henderson, J. (2023). A review of exploratory factor analysis in tourism and hospitality research: Identifying current practices and avenues for improvement. Journal of Business Research, 154, 113328.
    https://doi.org/10.1016/j.jbusres.2022.113328
    Hsu, M. H., Chang, C. M., & Chuang, L. W. (2015). Understanding the determinants of online repeat purchase intention and moderating role of habit: The case of online group-buying in Taiwan. International Journal of Information Management, 35(1), 45-56. https://doi.org/10.1016/j.ijinfomgt.2014.09.002
    Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
    Huiyue, L., Peihan, G., & Haiwen, Y. (2022). Consistent comments and vivid comments in hotels’ online information adoption: Which matters more?. International Journal of Hospitality Management, 107, 103329. https://doi.org/10.1016/j.ijhm.2022.103329
    Hur, K., Kim, T. T., Karatepe, O. M., & Lee, G. (2017). An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers. Tourism management, 63, 170-178.
    https://doi.org/10.1016/j.tourman.2017.06.013
    Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A., & Jianzhou, Y. (2017). eWOM source credibility, perceived risk and food product customer's information adoption. Computers in Human Behavior, 100(66), 96-102. https://doi.org/10.1016/j.chb.2016.09.034
    Ing, G. P., & Ming, T. (2018). Antecedents of consumer attitude towards blogger recommendations and its impact on purchase intention. Asian Journal of Business and Accounting, 11(1), 293-323. https://doi.org/10.22452/ajba.vol11no1.10
    Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2020). The effect of characteristics of source credibility on consumer behaviour: A meta-analysis. Journal of Retailing and Consumer Services, 53, 101736. https://doi.org/10.1016/j.jretconser.2019.01.005
    Jahmani, K., Fadiya, S. O., Abubakar, A. M., & Elrehail, H. (2018). Knowledge content quality, perceived usefulness, KMS use for sharing and retrieval: A flock leadership application. VINE Journal of Information and Knowledge Management Systems, 48(4), 470-490. https://doi.org/10.1108/VJIKMS-08-2017-0054
    Jamil, R. A., & Farid Hasnu, S. A. (2013). Consumer's Reliance on Word of Mouse: A Review Paper. Journal of Business & Economics, 5(2), 171-205.
    https://ssrn.com/abstract=2865662
    Jang, W., Kim, J., Kim, S., & Chun, J. W. (2021). The role of engagement in travel influencer marketing: the perspectives of dual process theory and the source credibility model. Current Issues in Tourism, 24(17), 2416-2420.
    https://doi.org/10.1080/13683500.2020.1845126
    Jiménez-Castillo, D., & Sánchez-Fernández, R. (2019). The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention. International Journal of Information Management, 49, 366-376. https://doi.org/10.1016/j.ijinfomgt.2019.07.009
    Jin, S. V., Muqaddam, A., & Ryu, E. (2019). Instafamous and social media influencer marketing. Marketing Intelligence & Planning, 37(5), 567-579.
    https://doi.org/10.1108/MIP-09-2018-0375
    Johnston, J., & Goodman, M. K. (2015). Spectacular foodscapes: Food celebrities and the politics of lifestyle mediation in an age of inequality. Food, culture & society, 18(2), 205-222. https://doi.org/10.2752/175174415X14180391604369
    Kang, J. W., & Namkung, Y. (2019). The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189-198. https://doi.org/10.1016/j.ijhm.2018.10.011
    Kaye, B. K., & Johnson, T. J. (2011). Hot diggity blog: A cluster analysis examining motivations and other factors for why people judge different types of blogs as credible. Mass Communication and Society, 14(2), 236-263.
    https://doi.org/10.1080/15205431003687280
    Kim, K. A. (2023). The Effects of Depression and Sleep Quality on Somatic Symptoms in Middle-Aged Women with Cardiovascular Risk Factors. Iranian Journal of Public Health, 52(3), 515-524. https://doi.org/10.18502/ijph.v52i3.12134
    Kim, W. B., Kim, D. S., & Park, J. (2019). The effects of hashtag type on evaluations of influencer and fashion information and consumer responses. Journal of the Korean Society of Clothing and Textiles, 43(1), 1-16. https://doi.org/10.5850/JKSCT.2019.43.1.1
    Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications. https://www.guilford.com/books/Principles-and-Practice-of-Structural-Equation-Modeling/Rex-Kline/9781462551910/author
    Kock, F., Berbekova, A., & Assaf, A. G. (2021). Understanding and managing the threat of common method bias: Detection, prevention and control. Tourism Management, 86, 104330. https://doi.org/10.1016/j.tourman.2021.104330
    Kong, M. Y., & Ahn, H. (2020). Information Adoption on YouTube: Examining the Influence of YouTube Genre. Journal of the Korea Society of Computer and Information, 25(6), 131-141. https://doi.org/10.9708/jksci.2020.25.06.131
    Krisna, D. F., Handayani, P. W., & Azzahro, F. (2019). The antecedents of hashtag and geotag use in smart tourism: case study in Indonesia. Asia Pacific Journal of Tourism Research, 24(12), 1141-1154. https://doi.org/10.1080/10941665.2019.1665559
    Kusumasondjaja, S., & Tjiptono, F. (2019). Endorsement and visual complexity in food advertising on Instagram. Internet Research, 29(4), 659-687.
    https://doi.org/10.1108/IntR-11-2017-0459
    Laksamana, P., Suharyanto, S., & Cahaya, Y. F. (2023). Determining factors of continuance intention in mobile payment: fintech industry perspective. Asia Pacific Journal of Marketing and Logistics, 35(7), 1699-1718.
    https://doi.org/10.1108/APJML-11-2021-0851
    Lee, H. M., Kang, J. W., & Namkung, Y. (2021). Instagram Users’ Information Acceptance Process for Food-Content. Sustainability, 13(5), 1-15.
    https://doi.org/10.3390/su13052638
    Lee, S. H., Samdanis, M., & Gkiousou, S. (2014). Hybridizing food cultures in computer-mediated environments: Creativity and improvisation in Greek food blogs. International Journal of Human-Computer Studies, 72(2), 224-238.
    https://doi.org/10.1016/j.ijhcs.2013.08.007
    Li, C. Y. (2013). Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory. Computers in human behavior, 29(1), 264-275. https://doi.org/10.1016/j.chb.2012.09.003
    Li, Y., & Peng, Y. (2021). Influencer marketing: purchase intention and its antecedents. Marketing Intelligence & Planning, 39(7), 960-978.
    https://doi.org/10.1108/MIP-04-2021-0104
    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, Y., Hong, Z., Zhu, J., Yan, J., Qi, J., & Liu, P. (2018). Promoting green residential buildings: Residents' environmental attitude, subjective knowledge, and social trust matter. Energy Policy, 100(112), 152-161. https://doi.org/10.1016/j.enpol.2017.10.020
    Lu, L. C., Chang, W. P., & Chang, H. H. (2014). Consumer attitudes toward blogger’s sponsored recommendations and purchase intention: The effect of sponsorship type, product type, and brand awareness. Computers in Human Behavior, 34, 258-266. https://doi.org/10.1016/j.chb.2014.02.007
    Magno, C. (2017). Facilitating student learning in schools through a learning management system: An action research. The International Journal of Research and Review, 12, 85-110. https://www.researchgate.net/profile/Carlo-Magno/publication/316561970_Facilitating_Student_Learning_in_Schools_through_a_Learning_Management_System_An_Action_Research/links/5904758f0f7e9bc0d58debf8/Facilitating-Student-Learning-in-Schools-through-a-Learning-Management-System-An-Action-Research.pdf
    Mainolfi, G., & Vergura, D. T. (2022). The influence of fashion blogger credibility, engagement and homophily on intentions to buy and e-WOM. Results of a binational study. Journal of Fashion Marketing and Management: An International Journal, 26(3), 473-494. https://doi.org/10.1108/JFMM-03-2020-0050
    Mainolfi, G., Lo Presti, L., Marino, V., & Filieri, R. (2022). “YOU POST, I TRAVEL.” Bloggers' credibility, digital engagement, and travelers' behavioral intention: The mediating role of hedonic and utilitarian motivations. Psychology & Marketing, 39(5), 1022-1034. https://doi.org/10.1002/mar.21638
    Mainolfi, G., Marino, V., & Resciniti, R. (2022). Not just food: exploring the influence of food blog engagement on intention to taste and to visit. British Food Journal, 124(2), 430-461. https://doi.org/10.1108/BFJ-04-2021-0400
    Mariani, M. M., Styven, M. E., & Nataraajan, R. (2021). Social comparison orientation and frequency: A study on international travel bloggers. Journal of Business Research, 123, 232-240. https://doi.org/10.1016/j.jbusres.2020.09.070
    McLean, G. (2018). Examining the determinants and outcomes of mobile app engagement-A longitudinal perspective. Computers in Human Behavior, 84, 392-403. https://doi.org/10.1016/j.chb.2018.03.015
    McLean, G., Osei-Frimpong, K., Al-Nabhani, K., & Marriott, H. (2020). Examining consumer attitudes towards retailers'm-commerce mobile applications–An initial adoption vs. continuous use perspective. Journal of Business Research, 106, 139-157. https://doi.org/10.1016/j.jbusres.2019.08.032
    Metzger, M. J., Flanagin, A. J., & Zwarun, L. (2003). College student Web use, perceptions of information credibility, and verification behavior. Computers & Education, 41(3), 271-290. https://doi.org/10.1016/S0360-1315(03)00049-6
    Moriuchi, E. (2019). Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty. Psychology & Marketing, 36(5), 489-501.
    https://doi.org/10.1002/mar.21192
    Mude, G., & Undale, S. (2023). Social media usage: A comparison between Generation Y and Generation Z in India. International Journal of E-Business Research (IJEBR), 19(1), 1-20. https://doi.org/10.4018/IJEBR.317889
    Nadlifatin, R., Persada, S. F., Munthe, J. H., Ardiansyahmiraja, B., Redi, A. A. N. P., Prasetyo, Y. T., & Belgiawan, P. F. (2022). Understanding factors influencing traveler’s adoption of travel influencer advertising: an Information Adoption Model approach. Business: Theory and Practice, 23(1), 131-140. https://doi.org/10.3846/btp.2022.13149
    Nguyen, C., Nguyen, N., & Duong, A. (2020). The relationships of social media marketing, consumer engagement and purchase intention. Test Engineering and Management, 83(2), 24653-24666.
    https://www.researchgate.net/profile/Cuong-Nguyen-79/publication/342976186_The_Relationships_of_Social_Media_Marketing_Consumer_Engagement_and_Purchase_Intention/links/5f3ccbcda6fdcccc43d32681/The-Relationships-of-Social-Media-Marketing-Consumer-Engagement-and-Purchase-Intention.pdf
    Nikhashemi, S. R., Jebarajakirthy, C., & Nusair, K. (2019). Uncovering the roles of retail brand experience and brand love in the apparel industry: Non-linear structural equation modelling approach. Journal of Retailing and Consumer Services, 48, 122-135. https://doi.org/10.1016/j.jretconser.2019.01.014
    Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization science, 5(1), 14-37. https://doi.org/10.1287/orsc.5.1.14
    Onofrei, G., Filieri, R., & Kennedy, L. (2022). Social media interactions, purchase intention, and behavioural engagement: The mediating role of source and content factors. Journal of Business Research, 142, 100-112. https://doi.org/10.1016/j.jbusres.2021.12.031
    Pal, D., Babakerkhell, M. D., & Zhang, X. (2021). Exploring the determinants of users’continuance usage intention of smart voice assistants. IEEE Access, 9, 162259-162275. https://doi.org/10.1109/ACCESS.2021.3132399
    Park, S. J., & Oh, C. G. (2021). The Impact of Influencers' Characteristics on YouTube Information Adoption and Purchase Intention. The Journal of Information Systems, 30(1), 179-204. https://doi.org/10.5859/KAIS.2021.30.1.179
    Pavlov, G., Maydeu-Olivares, A., & Shi, D. (2021). Using the standardized root mean squared residual (SRMR) to assess exact fit in structural equation models. Educational and Psychological Measurement, 81(1), 110-130. https://doi.org/10.1177/0013164420926231
    Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123-205.
    https://doi.org/10.1016/S0065-2601(08)60214-2
    Petty, R. E., Cacioppo, J. T., & Goldman, R. (1981). Personal involvement as a determinant of argument-based persuasion. Journal of Personality and Social Psychology, 41(5), 847–855. https://doi.org/10.1037/0022-3514.41.5.847
    Pham, M., Dang, T. Y., Hoang, T. H. Y., Tran, T. T. N., & Ngo, T. H. Q. (2021). The effects of online social influencers on purchasing behavior of generation z: An empirical study in Vietnam. The Journal of Asian Finance, Economics and Business, 8(11), 179-190. https://doi.org/10.13106/jafeb.2021.vol8.no11.0179
    Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879-903.
    https://doi.org/10.1037/0021-9010.88.5.879
    Qi, Z., Duan, J., Su, H., Fan, Z., & Lan, W. (2023). Using crowdsourcing images to assess visual quality of urban landscapes: A case study of Xiamen Island. Ecological Indicators, 154, 110793. https://doi.org/10.1016/j.ecolind.2023.110793
    Quansah, T. K. (2022). New sports stadia for Africa? The impact of sportscape features on attendance intentions in sub-Saharan African club football. European Sport Management Quarterly, 24(2), 404–427. https://doi.org/10.1080/16184742.2022.2125549
    Rafique, G. M., Mahmood, K., Warraich, N. F., & Rehman, S. U. (2021). Readiness for Online Learning during COVID-19 pandemic: A survey of Pakistani LIS students. The Journal of Academic Librarianship, 47(3), 102346.
    https://doi.org/10.1016/j.acalib.2021.102346
    Rahaman, M. A., Hassan, H. K., Asheq, A. A., & Islam, K. A. (2022). The interplay between eWOM information and purchase intention on social media: Through the lens of IAM and TAM theory. PloS one, 17(9), e0272926.
    https://doi.org/10.1371/journal.pone.0272926
    Rahardja, U., Sigalingging, C. T., Putra, P. O. H., Nizar Hidayanto, A., & Phusavat, K. (2023). The impact of mobile payment application design and performance attributes on consumer emotions and continuance intention. Sage Open, 13(1), 21582440231151919. https://doi.org/10.1177/21582440231151919
    Rasmussen, L. (2018). Parasocial interaction in the digital age: An examination of relationship building and the effectiveness of YouTube celebrities. The Journal of social media in society, 7(1), 280-294. https://www.thejsms.org/index.php/JSMS/article/view/364
    Rebelo, M. F. (2017). How influencers’ credibility on Instagram is perceived by consumers and its impact on purchase intention [Doctoral dissertation, Universidade Católica Portuguesa]. http://hdl.handle.net/10400.14/23360
    Rohit Shewale (2023, September 12). Social Media Users — Global Demographics (2023). Demandsage. https://www.demandsage.com/social-media-users/
    Royston, P. (1992). Approximating the Shapiro-Wilk W-test for non-normality. Statistics and computing, 2, 117-119. https://doi.org/10.1007/BF01891203
    Saeed, F. T. A., & Kassim, R. N. M. (2017). Validation Measurement Model of Media Staffs Satisfaction, Leadership, Pay, Working Environment, Rewards and Performance. World Journal of Research and Review, 5(3), 262748.
    https://www.neliti.com/publications/262748/validation-measurement-model-of-media-staffs-satisfaction-leadership-pay-working#cite
    Saleem, A., & Ellahi, A. (2017). Influence of electronic word of mouth on purchase intention of fashion products in social networking websites. Pakistan Journal of Commerce and Social Sciences (PJCSS), 11(2), 597-622. http://hdl.handle.net/10419/188307
    Salim, S. A. (2021). Consumer Engagement with Retail Firm through Social Media. Research in Management of Technology and Business, 2(2), 163-175.
    https://penerbit.uthm.edu.my/periodicals/index.php/rmtb/article/view/4992
    Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Psychology Press. https://doi.org/10.1080/10705511.2011.607726
    Shah, B. A., Zala, L., & Desai, N. A. (2023). An integrated estimation approach to incorporate latent variables through SEM into discrete mode choice models to analyze mode choice attitude of a rider. Transportation Research Interdisciplinary Perspectives, 19, 100819. https://doi.org/10.1016/j.trip.2023.100819
    Shepard, R. N. (1967). Recognition memory for words, sentences, and pictures. Journal of verbal Learning and verbal Behavior, 6(1), 156-163.
    https://doi.org/10.1016/S0022-5371(67)80067-7
    Shu, M., & Scott, N. (2014). Influence of social media on Chinese students’ choice of an overseas study destination: An information adoption model perspective. Journal of Travel & Tourism Marketing, 31(2), 286-302.
    https://doi.org/10.1080/10548408.2014.873318
    Shi, J., Hu, P., Lai, K. K., & Chen, G. (2018). Determinants of users’ information dissemination behavior on social networking sites: An elaboration likelihood model perspective. Internet Research, 28(2), 393-418.
    https://doi.org/10.1108/IntR-01-2017-0038
    Shiau, W. L., & Luo, M. M. (2013). Continuance intention of blog users: the impact of perceived enjoyment, habit, user involvement and blogging time. Behaviour & Information Technology, 32(6), 570-583. https://doi.org/10.1080/0144929X.2012.671851
    Silaban, P. H., Chen, W. K., Sormin, S., BP Panjaitan, Y. N., & Silalahi, A. D. K. (2023). How does electronic word of mouth on Instagram affect travel behaviour in Indonesia: A perspective of the information adoption model. Cogent Social Sciences, 9(1), 2163525. https://doi.org/10.1080/23311886.2022.2163525
    Simon Kemp (2023, January 26).THE CHANGING WORLD OF DIGITAL IN 2023. We Are Social. https://wearesocial.com/uk/blog/2023/01/the-changing-world-of-digital-in-2023/
    Song, B. L., Liew, C. Y., Sia, J. Y., & Gopal, K. (2021). Electronic word-of-mouth in travel social networking sites and young consumers’ purchase intentions: an extended information adoption model. Young Consumers, 22(4), 521-538.
    https://doi.org/10.1108/YC-03-2021-1288
    Sosanuy, W., Siripipatthanakul, S., Nurittamont, W., & Phayaphrom, B. (2021). Effect of electronic word of mouth (e-WOM) and perceived value on purchase intention during the COVID-19 pandemic: the case of ready-to-eat food. International Journal of Behavioral Analytics, 1(2), 1-16. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3944079
    Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information systems research, 14(1), 47-65. https://doi.org/10.1287/isre.14.1.47.14767
    Syahbani, M. F., & Widodo, A. (2017). Food blogger instagram: Promotion through social media. Jurnal Ecodemica: Jurnal Ekonomi Manajemen dan Bisnis, 1(1), 46-58.
    https://doi.org/10.31294/jeco.v1i1.1426
    Taherdoost, H. (2016). Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research. How to test the validation of a questionnaire/survey in a research,5(3), 28-36. http://dx.doi.org/10.2139/ssrn.3205040
    Tandon, U., Ertz, M., & Bansal, H. (2020). Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning. Technology in Society, 63, 101438. https://doi.org/10.1016/j.techsoc.2020.101438
    Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369-392. https://doi.org/10.1108/IntR-12-2012-0244
    Tien, D. H., Rivas, A. A. A., & Liao, Y. K. (2019). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites. Asia Pacific Management Review, 24(3), 238-249. https://doi.org/10.1016/j.apmrv.2018.06.003
    Tinsley, H. E., & Tinsley, D. J. (1987). Uses of factor analysis in counseling psychology research. Journal of counseling psychology, 34(4), 414-424. https://doi.org/10.1037/0022-0167.34.4.414
    Tseng, S. Y., & Wang, C. N. (2016). Perceived risk influence on dual-route information adoption processes on travel websites. Journal of Business research, 69(6), 2289-2296. https://doi.org/10.1016/j.jbusres.2015.12.044
    Tseng, T. H., & Wang, H. Y. (2023). Consumer attitudes and purchase intentions towards internet celebrity self-brands: an integrated view of congruence, brand authenticity and internet celebrity involvement. Journal of Product & Brand Management, 32(6), 863-877. https://doi.org/10.1108/JPBM-03-2022-3892
    Tunsakul, K. (2016). Informational influence of social network sites on consumer engagement intention: a context of civic engagement. Catalyst, 13(2), 89-105.
    https://gssapps.ebscohost.com/customerspecific/s5650286/redirector/index.php?url=https%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26AuthType%3dcookie%2cip%2cshib%26db%3daph%26AN%3d120822485%26lang%3dzh-tw
    Ullman, M. T. (2001). The neural basis of lexicon and grammar in first and second language: The declarative/procedural model. Bilingualism: Language and cognition, 4(2), 105-122. https://doi.org/10.1017/S1366728901000220
    Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
    Venkatesh, V., Davis, F. D., & Morris, M. G. (2007). Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research. Journal of the Association for Information Systems, 8(4), 267-286. https://doi.org/10.17705/1jais.00120
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478.
    https://doi.org/10.2307/30036540
    Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
    Verma, D., Dewani, P. P., Behl, A., & Dwivedi, Y. K. (2023). Understanding the impact of eWOM communication through the lens of information adoption model: a meta-analytic structural equation modeling perspective. Computers in Human Behavior, 143, 107710. https://doi.org/10.1016/j.chb.2023.107710
    Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012). Customer engagement: Exploring customer relationships beyond purchase. Journal of marketing theory and practice, 20(2), 122-146. https://doi.org/10.2753/MTP1069-6679200201
    Wang, H.-Y. (2011), “Exploring the factors of gastronomy blogs influencing readers’ intention to taste”, International Journal of Hospitality Management, 30(3), 503-514. https://doi.org/10.1016/j.ijhm.2010.07.009
    Wang, P., & Huang, Q. (2023). Digital influencers, social power and consumer engagement in social commerce. Internet Research, 33(1), 178-207. https://doi.org/10.1108/INTR-08-2020-0467
    Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of management information systems, 12(4), 5-33.
    https://doi.org/10.1080/07421222.1996.11518099
    Wathen, C. N., & Burkell, J. (2002). Believe it or not: Factors influencing credibility on the Web. Journal of the American society for information science and technology, 53(2), 134-144. https://doi.org/10.1002/asi.10016
    Williams, D. L., Crittenden, V. L., Keo, T., & McCarty, P. (2012). The use of social media: an exploratory study of usage among digital natives. Journal of Public Affairs, 12(2), 127-136. https://doi.org/10.1002/pa.1414
    Wolff, W. E. M. (2022). A trend or is the future of influencer marketing virtual? The effect of virtual influencers and sponsorship disclosure on purchase intention, brand trust, and consumer engagement [Master's thesis, University of Twente]. https://purl.utwente.nl/essays/89515
    Wong, I. A., Lin, Z., & Zhang, X. (2023). A techno-exchange engagement model of social media engagement: a social exchange and engagement theoretical synthesis. Journal of Vacation Marketing, 29(3), 461-475. https://doi.org/10.1177/13567667221101412
    Xu, Z., Liu, Y., Zhang, H., Luo, X., Mei, L., & Hu, C. (2017). Building the multi-modal storytelling of urban emergency events based on crowdsensing of social media analytics. Mobile Networks and Applications, 22, 218-227.
    https://doi.org/10.1007/s11036-016-0789-2
    Yamada, J., Stevens, B., Sidani, S., Watt‐Watson, J., & De Silva, N. (2010). Content validity of a process evaluation checklist to measure intervention implementation fidelity of the EPIC intervention. Worldviews on Evidence‐Based Nursing, 7(3), 158-164. https://doi.org/10.1111/j.1741-6787.2010.00182.x
    Yaralı, K. T., & Aytar, F. A. G. (2020). The critical thinking skills test for 5-6 year-old children (CTTC): A study of validity and reliability. Ilkogretim Online, 19(3), 1439-1449. https://doi.org/10.17051/ilkonline.2020.730757
    Young, K. S. (2004). Internet addiction: A new clinical phenomenon and its consequences. American behavioral scientist, 48(4), 402-415. https://doi.org/10.1177/0002764204270278
    Yusuf, A. S., Che Hussin, A. R., & Busalim, A. H. (2018). Influence of e-WOM engagement on consumer purchase intention in social commerce. Journal of Services Marketing, 32(4), 493-504. https://doi.org/10.1108/JSM-01-2017-0031
    Zaıdı, N. , Ahuja, V. & Khan, M. N.. (2020). Effect of customer characteristics, content characteristics and source credibility on customer response: Developing a conceptual model for the tourism industry. Journal of Travel and Tourism Research, 16 (16), 1-24. https://dergipark.org.tr/en/pub/ttr/issue/57881/832885
    Zhang, K. Z., Barnes, S. J., Zhao, S. J., & Zhang, H. (2018). Can consumers be persuaded on brand microblogs? An empirical study. Information & Management, 55(1), 1-15.
    https://doi.org/10.1016/j.im.2017.03.005
    Zhao, Y., Wang, Y., Zhang, T., Wang, M., Ye, X., Wang, X., & Sun, H. (2022). Development and preliminary validation of a public health emergency competency model for medical staffs of national health emergency teams in China. BMC Health Services Research, 22(1), 1-12. https://doi.org/10.1186/s12913-022-08361-z
    Zhuang, W., Zeng, Q., Zhang, Y., Liu, C., & Fan, W. (2023). What makes user-generated content more helpful on social media platforms? Insights from creator interactivity perspective. Information processing & management, 60(2), 103201. https://doi.org/10.1016/j.ipm.2022.103201

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