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研究生: 張鳳軒
Chang, Feng-Hsuan
論文名稱: 以解釋水平理論探討電影廣告訊息設計
Explore the Message Design of Movie Advertisements through Construal Level Theory
指導教授: 張郁敏
口試委員: 林芝璇
蕭丞傑
學位類別: 碩士
Master
系所名稱: 傳播學院 - 傳播學院傳播碩士學位學程
Master's Program of Communication
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 91
中文關鍵詞: 解釋水平理論電影廣告社會距離廣告態度共同觀看意願分享意願網路實驗法
外文關鍵詞: Construal level theory, Movie trailer, Social distance, Ad attitude, Co-viewing intention, Forwarding intention, Experimental research
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  • 當前國際電影市場與影展蓬勃發展,使閱聽人得以大量接觸來自不同國家的電影產品,相互競逐閱聽人的注意力與市場目光。依據文化接近性理論,閱聽人傾向選擇在文化上與自身較為接近的媒體產品;現在的台灣電影市場便充斥著由不同國家製作、具有多元文化特質的影視作品,如何在眾多選項中脫穎而出,吸引閱聽人進行消費,已成為電影行銷團隊所面臨的重要挑戰。本研究以電影預告片為研究標的,結合解釋水平理論(Construal Level Theory)中層級匹配效應及其社會距離概念,探討能否透過訊息設計降低文化差異對消費者廣告態度的負面影響,並討論電影廣告態度、共同觀看電影意願與轉發廣告意願之關係。
    研究採二因子受試者間實驗設計(Two-factor between-subjects design),並以網路實驗法進行資料蒐集,研究對象為20至39歲之台籍閱聽人,最終共回收132份有效問卷。研究結果顯示,閱聽人所感知到的社會距離會對電影廣告態度產生顯著負向影響,但能透過近遠社會距離與電影產品的次要主要特徵的交互作用,顯著影響廣告態度。並且廣告態度會正向影響閱聽人的共同觀看電影意願,接著對其廣告分享意願產生正向影響。學術上,本研究將解釋水平理論拓展應用至電影廣告領域,發現在呈現近社會距離與遠社會距離內容的電影廣告中,分別強調電影產品之次要與主要特徵的廣告訊息,能提升閱聽人的廣告態度,使其產生正面的共同觀看電影與廣告分享意願。實務上,藉前述結果提供行銷人員外國電影廣告設計見解,以及基於閱聽人共同觀影習慣的行銷策略觀點。


    With the rapid growth of the global movie market and film festivals, audiences are increasingly exposed to movies from different countries, leading to intense competition for audience attention among cultural products. According to the theory of cultural proximity, audiences tend to prefer media products that are culturally closer to their own. However, the Taiwanese movie market is saturated with movies from various countries and featuring different cultural characteristics, making it a significant challenge for film marketing teams to attract consumers.
    This study focuses on movie trailers and integrates the construal fit phenomenon and social distance concept from construal level theory to examine whether message design can mitigate the negative effects of cultural differences. In addition, this study also discusses the relationship between advertising attitudes and subsequent behavioral intentions, including the co-viewing intention of the movie and the forwarding intention of the advertisement.
    A two-factor between-subjects experimental design was employed, and data were collected through an online experiment. The sample consisted of Taiwanese participants aged 20 to 39. A total of 132 valid responses were collected. The study found that social distance would have a negative effect on advertising attitudes. Furthermore, the interaction effect of social distance and the movie’s product features could significantly impact advertising attitudes, which could positively enhance audiences’ co-viewing intentions and lead to the intentions to forward the trailer.
    Academically, this research extends the application of construal level theory to movie advertisements. The results indicate that, in movie advertisements with high versus low social distance, emphasizing secondary versus primary attributes of the film products, respectively, can enhance audience attitudes toward the advertisement, thereby having a positive impact on intentions for movie co-viewing and advertisement forwarding. From a practical perspective, the results not only provide suggestions on the message design of foreign movie advertisements, but also offer a strategy based on audiences’ co-viewing habits.

    第一章 緒論 1
    第一節 研究背景 1
    第二節 研究目的 6
    第二章 文獻探討 7
    第一節 解釋水平理論 7
    第二節 解釋水平理論與電影廣告態度 11
    第三節 電影廣告態度、共同觀看電影意願、轉發廣告意願 15
    第三章 研究方法 20
    第一節 研究架構圖 20
    第二節 實驗前測一 20
    第三節 實驗前測二 29
    第四節 主實驗設計 33
    第四章 資料分析 41
    第一節 樣本輪廓與信度分析 41
    第二節 操弄檢定與假設驗證 43
    第五章 研究結果與建議 47
    第一節 研究結果與討論 47
    第二節 學術與實務貢獻 50
    第三節 研究限制與未來研究建議 52
    參考書目 55
    附錄 73
    附錄一:前測問卷 73
    附錄二:前測二問卷 77
    附錄三:主實驗問卷 83

    中文書目
    中央社(2024年2月17日)。〈台灣導演陳潔瑤等新片提案 前進歐洲電影市場展〉,《中央廣播電台》。https://www.rti.org.tw/news/view/id/2196037
    文化內容策進院(2022年10月15日)〈臺灣電影進軍法國 文策院與歐洲影視品牌mk2合作 串流實體同步播映〉。《文化內容策進院官網》https://taicca.tw/latest_news/news/detail/340
    文化內容策進院(2024年8月)。〈2023年臺灣文化內容消費趨勢調查報告〉。
    邵鈺珊(2022年10月4日)。〈4個發現,從影視觀看喜好看男女思維差異〉。《關鍵議題中心》。 https://research.tnlmedia.com/article/64
    財團法人台灣網路資訊中心(2023年8月29日)。〈2023年台灣網路報告〉。《台灣網路報告官網》。https://report.twnic.tw/2023/
    陳逸穎(2017)。〈影響院線電影消費行為因素探討〉(碩士論文)。取自https://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/ccd=wnfMZF/record?r1=1&h1=0
    曾文永與倪瑛蓮(2017)。〈構念層次理論在運動消費研究之應用〉,《中華體育季刊》,31,75-84。https://doi.org/10.3966/102473002017033101010
    臺灣傳播調查資料庫〈「臉書是中年族群才會使用的平台嗎?」-探討台灣民眾的新媒體使用〉《TCS電子報》。https://crctaiwan.dcat.nycu.edu.tw/ResultsShow_detail.asp?RS_ID=165

    外文書目
    2017 Year in Review: Social Media Recap. (2018, February 6). Boxoffice Pro. https://www.boxofficepro.com/2017-year-review-social-media-recap/
    45+ Twitter (X) stats to know in marketing in 2025. (2025, March 20). sproutsocial. https://sproutsocial.com/insights/twitter-statistics/?utm_source=chatgpt.com
    Afifah, N., Daud, I., & Mulyadina, M. (2022). Viewer Behavior On Social Media: Viral Marketing of A Movie Trailer In Indonesia. Gadjah Mada International Journal of Business, 24(2).
    Ahn, J., Kim, J., & Sung, Y. (2021). AI-powered recommendations: The roles of perceived similarity and psychological distance on persuasion. International Journal of Advertising, 40(8), 1366–1384. https://doi.org/10.1080/02650487.2021.1982529
    Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In J. Kuhl & J. Beckmann (Eds), Action Control (pp. 11-39). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2
    Ajzen, I. (1991). The theory of planned behavior. Organization Behavior And Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
    Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Prentice-Hall.
    Alwitt, L. F. (2000). Effects of Interestingness on Evaluations of TV Commercials. Journal of Current Issues & Research in Advertising, 22(1), 41–53. https://doi.org/10.1080/10641734.2000.10505100
    Anneke de Graaf, The Effectiveness of Adaptation of the Protagonist in Narrative Impact: Similarity Influences Health Beliefs through Self-Referencing, Human Communication Research, 40(1), 73–90, https://doi.org/10.1111/hcre.12015
    Arora, T., & Agarwal, B. (2019). Empirical Study on Perceived Value and Attitude of Millennials Towards Social Media Advertising: A Structural Equation Modelling Approach. Vision: The Journal of Business Perspective, 23(1), 56–69. https://doi.org/10.1177/0972262918821248
    Austin, B. A. (1986). Motivations for movie attendance. Communication Quarterly, 34(2), 115–126. https://doi.org/10.1080/01463378609369627
    Auverset, L. A., & Billings, A. C. (2016). Relationships Between Social TV and Enjoyment: A Content Analysis of The Walking Dead ’s Story Sync Experience. Social Media + Society, 2(3), 2056305116662170. https://doi.org/10.1177/2056305116662170
    Baek, Y. M. (2015). Relationship Between Cultural Distance and Cross-Cultural Music Video Consumption on YouTube. Social Science Computer Review, 33(6), 730–748. https://doi.org/10.1177/0894439314562184
    Bakar, M. S. A., Bolong, J., Bidin, R., Ayub, N. S., Jono, S. N. F., & Shuki, M. S. M. (2020). Elements in Movie Trailers That Motivates Audience to Watch Movies in Malaysia: A Quantitative Approach. Asian Journal of Arts, Culture and Tourism, 2(2), 12-18. https://myjms.mohe.gov.my/index.php/ajact/article/view/9576
    Benschop, N., Nuijten, A.L.P., Keil, M. et al. Construal level theory and escalation of commitment. Theory Decis 91, 135–151 (2021). https://doi.org/10.1007/s11238-020-09794-w
    Berger, J., & Milkman, K. L. (2012). What makes online content viral? Journal of Marketing Research, 49(2), 192–205. https://doi.org/10.1509/jmr.10.0353
    Bezbaruah, S., & Brahmbhatt, K. (2023). Are Podcast Advertisements Effective? An Emerging Economy Perspective. Journal of International Consumer Marketing, 35(2), 215–233. https://doi.org/10.1080/08961530.2022.2085222
    Blakeney, M. (2024, July 2). Maximise with Cinema. https://www.dcm.co.uk/news/maximising-cultural-power-with-cinema
    Brechan, I. (2006). The different effect of primary and secondary product attributes on customer satisfaction. Journal of Economic Psychology, 27(3), 441–458. https://doi.org/10.1016/j.joep.2005.10.003
    Brown, M. R., Bhadury, R. K., & Pope, N. K. Ll. (2010). The Impact of Comedic Violence on Viral Advertising Effectiveness. Journal of Advertising, 39(1), 49–66. https://doi.org/10.2753/JOA0091-3367390104
    Campbell, M. C., & Keller, K. L. (2003). Brand Familiarity and Advertising Repetition Effects. Journal of Consumer Research, 30(2), 292–304. https://doi.org/10.1086/376800
    Castillo, A., Benitez, J., Llorens, J., & Luo, X. (Robert). (2021). Social media-driven customer engagement and movie performance: Theory and empirical evidence. Decision Support Systems, 145, 113516. https://doi.org/10.1016/j.dss.2021.113516
    Centeno D, Wang JJ (2020), "Effects of narrowed social distance on local and international celebrity-endorsed advertisement attitudes". Journal of Consumer Marketing, Vol. 37 No. 5 pp. 521–532, doi: https://doi.org/10.1108/JCM-10-2019-3455
    Chinelato FB, Gonçalves Filho C, Randt DF (2023), "Why is sharing not enough for brands in video ads? A study about commercial video ads' value drivers". Spanish Journal of Marketing - ESIC, Vol. 27 No. 3 pp. 407–426, doi: https://doi.org/10.1108/SJME-10-2022-0214
    Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets. Marketing Science, 29(5), 944–957. https://doi.org/10.1287/mksc.1100.0572
    Cohen, J. (2001). Defining identification: A theoretical look at the identification of audiences with media characters. Mass Communication & Society, 4(3), 245–264. https://doi.org/10.1207/S15327825MCS0403_01
    Choi, Y. K., Yoon, S., Kim, K., & Kim, Y. (2019). Text versus pictures in advertising: Effects of psychological distance and product type. International Journal of Advertising, 38(4), 528–543. https://doi.org/10.1080/02650487.2019.1607649
    Das, G. (2014). Linkages of retailer personality, perceived quality and purchase intention with retailer loyalty: A study of Indian non-food retailing. Journal of Retailing and Consumer Services, 21(3), 407–414. https://doi.org/10.1016/j.jretconser.2013.11.001
    Data Shows Instagram Reels are Best For Reach — But Not Engagement. (2024, October 23). Buffer. https://buffer.com/resources/instagram-reach-engagement-analysis/?utm_source=chatgpt.com
    de Graaf, A., Hoeken, H., Sanders, J., & Beentjes, J. W. J. (2012). Identification as a mechanism of narrative persuasion. Communication Research, 39(6), 802–823. https://doi.org/10.1177/0093650211408594
    de Mooij, M., & Hofstede, G. (2011). Cross-Cultural Consumer Behavior: A Review of Research Findings. Journal of International Consumer Marketing, 23(3), 181–192. 10.1080/08961530.2011.578057
    Dhar, R., & Wertenbroch, K. (2000). Consumer Choice between Hedonic and Utilitarian Goods. Journal of Marketing Research, 37(1), 60–71. https://doi.org/10.1509/jmkr.37.1.60.18718
    Digital 2024: TAIWAN. (2024). We are social & Meltwater. https://indd.adobe.com/view/30e606cb-9f7f-4a44-90bd-5e1586a6ceef?allowFullscreen=true&wmode=opaque
    Disastra, G. M., Hanifa, F. H., Wulandari, A., & Sastika, W. (2019). The Influence of Advertising Value on Advertising Attitude and its Impact on Purchase Intention. Proceedings of the Social and Humaniora Research Symposium (SoRes 2018), Bandung, Indonesia. https://doi.org/10.2991/sores-18.2019.98
    Donthu, N. (1998). A Cross-Country Investigation of Recall of and Attitude toward Comparative Advertising. Journal of Advertising, 27(2), 111–122. https://doi.org/10.1080/00913367.1998.10673556
    Ducoffe, R. H. (1996). Advertising Value and Advertising on the Web. 36(5), 21–36.
    Escalas, J. E., & Stern, B. B. (2003). Sympathy and empathy: Emotional responses to advertising dramas. Journal of Consumer Research, 29(4), 566–578. https://doi.org/10.1086/346251
    Finsterwalder, J., Kuppelwieser, V. G., & De Villiers, M. (2012). The effects of film trailers on shaping consumer expectations in the entertainment industry—A qualitative analysis. Journal of Retailing and Consumer Services, 19(6), 589–595. https://doi.org/10.1016/j.jretconser.2012.07.004
    Fishbein, M. (1967). Attitude and the Prediction of Behavior. In M. Fishbein (Ed.), Readings in Attitude Theory and Measurement (pp. 477-492). Wiley.
    Fujita, K., Henderson, M. D., Eng, J., Trope, Y., & Liberman, N. (2006). Spatial Distance and Mental Construal of Social Events. Psychological Science, 17(4), 278–282. https://doi.org/10.1111/j.1467-9280.2006.01698.x
    Gesenhues, A. (2015, July 9). Top 5 Summer Movie Trailers: Google Says 81% Of People Who Watched A Trailer Online Saw It On YouTube. Martech. https://martech.org/top-5-summer-movie-trailers-google-says-81-of-people-who-watched-a-trailer-online-saw-it-on-youtube/
    Geuens, M., & De Pelsmacker, P. (2017). Planning and Conducting Experimental Advertising Research and Questionnaire Design. Journal of Advertising, 46(1), 83–100. https://doi.org/10.1080/00913367.2016.1225233
    Gilead, M., Liberman, N., & Maril, A. (2012). Construing counterfactual worlds: The role of abstraction. European Journal of Social Psychology, 42(3), 391–397. https://doi.org/10.1002/ejsp.1862
    Green, M. C. (2004). Transportation Into Narrative Worlds: The Role of Prior Knowledge and Perceived Realism. Discourse Processes, 38(2), 247–266. https://doi.org/10.1207/s15326950dp3802_5
    Greenwald, H. J. (1968). The Basic Assumptions of Dissonance Theory. Psychological Reports, 22(3), 888–888. https://doi.org/10.2466/pr0.1968.22.3.888
    Greyser, S. A., & Bauer, R. A. (1966). Americans and Advertising: Thirty Years of Public Opinion. Public Opinion Quarterly, 30(1), 69. https://doi.org/10.1086/267382
    Gupta, S. (2021). Impact of Social Media on the Film Industry. Samvakti Journal of Research in Information Technology, 2(2), 117–124. https://doi.org/10.46402/2021.02.24
    Haridakis, P., & Hanson, G. (2009). Social Interaction and Co-Viewing With YouTube: Blending Mass Communication Reception and Social Connection. Journal of Broadcasting & Electronic Media, 53(2), 317–335. https://doi.org/10.1080/08838150902908270
    Heilman, Kenneth M. (1997), The neurobiology of emotional experience. Journal of Neuropsychiatry and Clinical Neuro- science, 9 (3), 439–48.
    Hennig-Thurau, T., Houston, M.B. & Walsh, G. Determinants of motion picture box office and profitability: an interrelationship approach.Review of Managerial Science 1, 65–92 (2007). https://doi-org.proxyone.lib.nccu.edu.tw:8443/10.1007/s11846-007-0003-9
    Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2-3), 61–83. https://doi.org/10.1017/S0140525X0999152X
    Herrando, C., & Martín‐De Hoyos, M. J. (2022). Influencer endorsement posts and their effects on advertising attitudes and purchase intentions. International Journal of Consumer Studies, 46(6), 2288–2299. https://doi.org/10.1111/ijcs.12785
    Hogg, M. A., Terry, D. J., & White, K. M. (1995). A Tale of Two Theories: A Critical Comparison of Identity Theory with Social Identity Theory. Social Psychology Quarterly, 58(4), 255–269. https://doi.org/10.2307/2787127
    Holloway, I. R. (2014). Foreign entry, quality, and cultural distance: Product-level evidence from US movie exports. Review of World Economics, 150(2), 371–392. https://doi.org/10.1007/s10290-013-0180-3
    Hoskins, C., & Mirus, R. (1988). Reasons for the US dominance of the international trade in television programmes. Media, Culture & Society, 10(4), 499–515. https://doi.org/10.1177/016344388010004006
    How Ad-Supported Audio Can Power Movie Marketing. (2023, March 20). RADIO ONLINE. https://news.radio-online.com/cgi-bin/rol.exe/headline_id=b17377
    https://www.westwoodone.com/blog/2023/03/20/new-study-how-ad-supported-audio-can-power-movie-marketing/?utm_source=chatgpt.com
    Huang, J., Su, S., Zhou, L., & Liu, X. (2013). Attitude toward the Viral Ad: Expanding Traditional Advertising Models to Interactive Advertising. Journal of Interactive Marketing, 27, 36-46. 10.1016/j.intmar.2012.06.001
    Hwang, J., Kim, J. J., & Lee, K.-W. (2021). Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions. Technological Forecasting and Social Change, 163. https://doi.org/10.1016/j.techfore.2020.120433
    Iva Adeline, B., Nesya Natalie Kay, H., Wei-Han Tan, G., Lo, P.-S., Chaw, L.-Y., & Ooi, K.-B. (2023). A relook at the mobile advertising landscape: What are the new consumer expectations in the retailing industry? Telematics and Informatics, 79, 101953. https://doi.org/10.1016/j.tele.2023.101953
    Jang, J., Kim, J., Shin, H., Aum, H., and Kim, J. (2016). Effects of temporal format of everyday video on narrative engagement and social interactivity. Interact. Comput. 28, 718–736. doi: 10.1093/iwc/iwv043
    Jayakar, K. P., & Waterman, D. (2000). The economics of American theatrical movie exports: An empirical analysis. Journal of Media Economics, 13(3), 153–169.
    Kapoor, D., & Munjal, A. (2019). Self-consciousness and emotions driving femvertising: A path analysis of women’s attitude towards femvertising, forwarding intention and purchase intention. Journal of Marketing Communications, 25(2), 137–157. https://doi.org/10.1080/13527266.2017.1338611
    Karray, S., & Debernitz, L. (2017). The effectiveness of movie trailer advertising. International Journal of Advertising, 36(2), 368–392. https://doi.org/10.1080/02650487.2015.1090521
    Knight, G. A. (1999). Consumer preferences for foreign and domestic products. Journal of Consumer Marketing, 16(2), 151–162. https://doi.org/10.1108/07363769910260524
    Krämer, B. (2021). How We Use the Media: Strategies, Modes and Styles. Palgrave Macmillan Ltd.
    Kumar, A., Lee, H.-J., & Kim, Y.-K. (2009). Indian consumers’ purchase intention toward a United States versus local brand. Journal of Business Research, 62(5), 521–527. https://doi.org/10.1016/j.jbusres.2008.06.018
    Lavidge, R. J., & Steiner, G. A. (1961). A Model for Predictive Measurements of Advertising Effectiveness. Journal of Marketing, 25(6), 59-62. https://doi.org/10.2307/1248516
    Le, C. X., & Wang, H. (2020). Integrative perceived values influencing consumers’ attitude and behavioral responses toward mobile location-based advertising: An empirical study in Vietnam. Asia Pacific Journal of Marketing and Logistics, 33(1), 275–295. https://doi.org/10.1108/APJML-08-2019-0475
    Lee, E., Tinkham, S., & Edwards, S. M. (2005). The Multidimensional Structure of Attitude toward the Ad: Utilitarian, Hedonic, and Interestingness Dimensions. American Academy of Advertising. Conference. Proceedings, 58–66. https://www.proquest.com/docview/192395337?pq-origsite=gscholar&fromopenview=true&sourcetype=Conference%20Papers%20&%20Proceedings
    Lee, F. L. F. (2009). Cultural discount of cinematic achievement: The academy awards and U.S. movies’ East Asian box office. Journal of Cultural Economics, 33(4), 239–263. https://doi.org/10.1007/s10824-009-9101-7
    Levy, M. R., & Windahl, S. (1984). Audience activity and gratifications: A conceptual clarification and exploration. Communication Research, 11(1), 51–78. https://doi.org/10.1177/009365084011001003
    Lewin, K. (1951). Field Theory in Social Science: Selected Theoretical Papers. Harper & Brothers.
    Li, J., Abbasi, A., Cheema, A., & Abraham, L. B. (2020). Path to Purpose? How Online Customer Journeys Differ for Hedonic Versus Utilitarian Purchases. 84(4), 127–146. https://doi.org/10.1177/0022242920911628
    Li, Q., Tang, Y., Xu, W., & Wang, M. (2023). Variance does matter in affecting the box office: A multi-aspect investigation. Electronic Commerce Research, 23(2), 659–679. https://doi.org/10.1007/s10660-021-09486-9
    Liao, P.-A., Zhuang, M.-X., Jane, W.-J., & Hsu, Y.-L. (2022). Does star power mitigate the negative effect of cultural distance on box office revenue? Evidence from Taiwan. Journal of Media Economics, 34(4), 243–265. https://doi.org/10.1080/08997764.2023.2177655
    Liberman, N., & Trope, Y. (1998). The Role of Feasibility and Desirability Considerations in Near and Distant Future Decisions: A Test of Temporal Construal Theory. Journal of Personality and Social Psychology, 75(1), 5–18. https://doi.org/10.1037/0022-3514.75.1.5
    Liberman, N., & Trope, Y. (2008). The Psychology of Transcending the Here and Now. Science, 322(5905), 1201–1205. https://doi.org/10.1126/science.1161958
    Liberman, N., & Trope, Y. (2014). Traversing psychological distance. Trends in Cognitive Sciences, 18(7), 364–369. https://doi.org/10.1016/j.tics.2014.03.001
    Liebe, U., Moumouni, I. M., Bigler, C., Ingabire, C., & Bieri, S. (2017). Using Factorial Survey Experiments to Measure Attitudes, Social Norms, and Fairness Concerns in Developing Countries. Sociological Methods & Reasearch, 49(1), 161-192. https://journals.sagepub.com/doi/abs/10.1177/0049124117729707?journalCode=smra
    Lin, T. T. C., Paragas, F., & Bautista, J. R. (2016). Determinants of mobile consumers’ perceived value of location-based advertising and user responses. International Journal of Mobile Communications, 14(2), 99-117. https://doi.org/10.1504/IJMC.2016.075019
    Liviatan, I., Trope, Y., & Liberman, N. (2008). Interpersonal similarity as a social distance dimension: Implications for perception of others’ actions. Journal of Experimental Social Psychology, 44(5), 1256–1269. https://doi.org/10.1016/j.jesp.2008.04.007
    Luan, J., Filieri, R., Xiao, J., & Sun, Y. (2023). Consumer–brand relationships and social distance: A construal level theory perspective. Psychology & Marketing, 40(7), 1299–1315. https://doi.org/10.1002/mar.21818
    MacKenzie, S. B. (1989). An Empirical Examination of the Structural Antecedents of Attitude toward the Ad in an Advertising Pretesting Context. Journal of Marketing, 53(2), 48–65. 10.2307/1251413
    Martin, B. A. S., Gnoth, J., & Strong, C. (2009). Temporal Construal in Advertising. Journal of Advertising, 38(3), 5–20. https://doi.org/10.2753/JOA0091-3367380301
    Mattison Thompson, F., & Brouthers, K. D. (2021). Digital Consumer Engagement: National Cultural Differences and Cultural Tightness. Journal of International Marketing, 29(4), 22–44. https://doi.org/10.1177/1069031X211005729
    Mitchell, A. A., & Olson, J. C. (1981). Are Product Attribute Beliefs the Only Mediator of Advertising Effects on Brand Attitude? 18(3), 318–332. https://doi.org/10.1177/002224378101800306
    Montaño, D. E., & Kasprzyk, D. (2015). Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior: Theory, research, and practice (5th ed., pp. 95–124). San Francisco, CA: Jossey-Bass/Wiley.
    Moon, S., Bayus, B. L., Yi, Y., & Kim, J. (2015). Local consumers’ reception of imported and domestic movies in the Korean movie market. Journal of Cultural Economics, 39(1), 99–121. https://doi.org/10.1007/s10824-013-9214-x
    Morrison, M., & Krugman, D. M. (2001). A Look At Mass and Computer Mediated Technologies: Understanding the Roles of Television and Computers in the Home. Journal of Broadcasting & Electronic Media, 45(1), 135–161. https://doi.org/10.1207/s15506878jobem4501_9
    MOVIEGOING TRENDS & INSIGHTS. (2023). Fandango. https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.boxofficepro.com/wp-content/uploads/2023/04/Fandango-2023-MoviegoingStudy.pdf&ved=2ahUKEwibtOmm366LAxVgyzQHHYgIBBwQFnoECBQQAQ&usg=AOvVaw0Irh_KqLC5M0Sb58ApIzBE
    Muhammad Rashid Saeed, Hiba Khan, Huda Khan, Richard Lee, A systematic review of applications, manipulations and manipulation checks of construal level theory in advertising, Communication Theory, Volume 35, Issue 2, May 2025, Pages 63–95, https://doi.org/10.1093/ct/qtae026
    Muise, D., & Pan, J. (2019). Online field experiments. Asian Journal of Communication, 29(3), 217–234. https://doi.org/10.1080/01292986.2018.1453850
    Neelamegham, R., & Jain, D. (1999). Consumer Choice Process for Experience Goods: An Econometric Model and Analysis. Journal of Marketing Research, 36(3), 373–386. https://doi.org/10.2307/3152083
    Novela, S., Sihombing, Y. O., Novita, Caroline, E., & Octavia, R. (2020). The Effects of Hedonic and Utilitarian Motivation toward Online Purchase Intention with Attitude as Intervening Variable. 2020 International Conference on Information Management and Technology (ICIMTech), 75–80. https://doi.org/10.1109/ICIMTech50083.2020.9211197
    Oh S, Baek H, Ahn J (2017), "Predictive value of video-sharing behavior: sharing of movie trailers and box-office revenue". Internet Research, Vol. 27 No. 3 pp. 691–708, doi: https://doi.org/10.1108/IntR-01-2016-0005
    Olney, T. J., Holbrook, M. B., & Batra, R. (1991). Consumer Responses to Advertising: The Effects of Ad Content, Emotions, and Attitude toward the Ad on Viewing Time. Journal of Consumer Research, 17(4), 440. https://doi.org/10.1086/208569
    Palmgreen, P., Cook, P. L., Harvill, J. G., & Helm, D. M. (1988). The motivational framework of moviegoing: Uses and avoidances of theatrical films. In B. A. Austin (Ed.), Current research in film: Audiences, economics, and law (Vol. 4, pp. 1–23). Norwood, NJ: Ablex Publishing Corporation.
    Peng, F., Kang, L., Anwar, S. et al. Star power and box office revenues: evidence from China. J Cult Econ 43, 247–278 (2019). https://doi.org/10.1007/s10824-018-9338-0
    Phelps, Joseph, Regina Lewis, Lynne Mobilio, and Niranjan Raman (2004), “Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email,” Journal of Advertising Research, 44, 4, 333–48.
    Raditya, D., Gunadi, W., Setiono, D., & Rawung, J. (2020). The Effect of Ad Content and Ad Lengthon Consumer Response towards Online Video Advertisement. The Winners, 21(2). https://doi.org/10.21512/tw.v21i2.6797
    Roy, D., & Ding, C. (2020). Movie Recommendation using YouTube Movie Trailer Data as the Side Information. 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 275–279. https://doi.org/10.1109/ASONAM49781.2020.9381349
    Schlueter, E., & Schmidt, P. (2010). Special Issue: Survey Experiments. Methodology, 6(3), 93–95. https://doi.org/10.1027/1614-2241/a000010
    Septianto, F., Japutra, A., Sung, B., & Seo, Y. (2022). The interaction effect of country-of-origin positioning and cultural distance on international advertising effectiveness: A construal level perspective. International Marketing Review, 39(4), 931–954. https://doi.org/10.1108/IMR-10-2021-0291
    Shimp, T. A. (1981). Attitude toward the Ad as a Mediator of Consumer Brand Choice. Journal of Advertising. 10(2), 9–48. https://doi.org/10.1080/00913367.1981.10672756
    Sierra, J. J., Hyman, M. R., & Torres, I. M. (2009). Using a Model’s Apparent Ethnicity to Influence Viewer Responses to Print Ads: A Social Identity Theory Perspective. Journal of Current Issues & Research in Advertising, 31(2), 41–66. https://doi.org/10.1080/10641734.2009.10505265
    Singh, J., & Goyal, G. (2019). Anticipating movie success through crowdsourced social media videos. Computers in Human Behavior, 101, 484–494. https://doi.org/10.1016/j.chb.2018.08.050
    Song, R., Jang, S., & Cai, G. (2016). Does advertising indicate product quality? Evidence from prelaunch and postlaunch advertising in the movie industry. Marketing Letters, 27(4), 791–804. https://doi.org/10.1007/s11002-015-9377-7
    Soto-Sanfiel, M. T., & Igartua, J.-J. (2016). Cultural proximity and interactivity in the processes of narrative reception. 9(2), 87–107. https://doi.org/10.1504/IJART.2016.077234
    Squicciarini, A. C., & Griffin, C. (2012). An Informed Model of Personal Information Release in Social Networking Sites. 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing, 636–645. https://doi.org/10.1109/SocialCom-PASSAT.2012.137
    Straubhaar, J. D. (1991). Beyond media imperialism: Assymetrical interdependence and cultural proximity. Critical Studies in Mass Communication, 8(1), 39–59. https://doi.org/10.1080/15295039109366779
    Suckfüll, M. (2004). Rezeptionsmodalitäten: Ein integratives Konstrukt für die Medienwirkungsforschung. Reinhard Fischer Verlag, München.
    Suckfüll, M. (2015). The differential success of movie trailers. Journal of Retailing and Consumer Services, 22, 138–144. https://doi.org/10.1016/j.jretconser.2014.10.003
    Szita, K., Moss-Wellington, W., Sun, X., & Ch’ng, E. (2024). Going to the movies in VR: Virtual reality cinemas as alternatives to in-person co-viewing. International Journal of Human-Computer Studies, 181, 103150. https://doi.org/10.1016/j.ijhcs.2023.103150
    Tal-Or, N. (2021). The Effects of Co-Viewers on the Viewing Experience. Communication Theory, 31(3), 316–335. https://doi.org/10.1093/ct/qtz012
    Taylor, D. G., Strutton, D., & Thompson, K. (2012). Self-Enhancement as a Motivation for Sharing Online Advertising. Journal of Interactive Advertising, 12(2), 13–28. https://doi.org/10.1080/15252019.2012.10722193
    Tiede, K. E., & Appel, M. (2019). Reviews, expectations, and the experience of stories. Media Psychology, 23(3), 365–390. https://doi.org/10.1080/15213269.2019.1602055
    Todorov, A., Goren, A., & Trope, Y. (2007). Probability as a psychological distance: Construal and preferences. Journal of Experimental Social Psychology, 43(3), 473–482. https://doi.org/10.1016/j.jesp.2006.04.002
    Torelli, C. J., Ahluwalia, R., Cheng, S. Y. Y., Olson, N. J., & Stoner, J. L. (2016). Redefining Home: How Cultural Distinctiveness Affects the Malleability of In-Group Boundaries and Brand Preferences. Journal of Consumer Research, 44, 44–61. https://doi.org/10.1093/jcr/ucw072
    Trope, Y., & Liberman, N. (2000). Temporal construal and time-dependent changes in preference. Journal of Personality and Social Psychology, 79(6), 876–889. https://doi.org/10.1037/0022-3514.79.6.876
    Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117(2), 440–463. https://doi.org/10.1037/a0018963
    Ursachi, G., Horodnic, I. A., & Zait, A. (2015). How Reliable are Measurement Scales? External Factors with Indirect Influence on Reliability Estimators. Procedia Economics and Finance, 20, 679–686. https://doi.org/10.1016/S2212-5671(15)00123-9
    Utami, P. D. P., & Rahyuda, K. (2019). The antecedents of consumers’ attitude and its consequences on online purchase intention. International Research Journal of Management, IT and Social Sciences, 6(4), 107–117. https://doi.org/10.21744/irjmis.v6n4.663
    van Laer, T., de Ruyter, K., Visconti, L. M., & Wetzels, M. (2014). The extended transportation-imagery model: A meta-analysis of the antecedents and consequences of consumers' narrative transportation. Journal of Consumer Research, 40(5), 797–817. https://doi.org/10.1086/673383
    Vargas, P. T., Duff, B. R. L., & Faber, R. J. (2017). A Practical Guide to Experimental Advertising Research. Journal of Advertising, 46(1), 101–114. https://doi.org/10.1080/00913367.2017.1281779
    Vosgerau, J., Wertenbroch, K., & Carmon, Z. (2006). Indeterminacy and Live Television. Journal of Consumer Research, 32(4), 487–495. https://doi.org/10.1086/500478
    Wakslak, C. J., Trope, Y., Liberman, N., & Alony, R. (2006). Seeing the forest when entry is unlikely: Probability and the mental representation of events. Journal of Experimental Psychology: General, 135(4), 641–653. https://doi.org/10.1037/0096-3445.135.4.641
    Wang, Y., Ngai, E. W. T., & Li, K. (2024). Effects of sentiment quantity, dispersion, and dissimilarity on online review forwarding behavior: An empirical analysis. Journal of Retailing and Consumer Services, 81, 103978. https://doi.org/10.1016/j.jretconser.2024.103978
    Wen, T. J., Choi, C. W., Wu, L., & Morris, J. D. (2022). Empowering Emotion: The Driving Force of Share and Purchase Intentions in Viral Advertising. Journal of Current Issues & Research in Advertising, 43(1), 47–67. https://doi.org/10.1080/10641734.2021.1937408
    Wu, P. C. S., Yeh, G. Y.-Y., & Hsiao, C.-R. (2011). The effect of store image and service quality on brand image and purchase intention for private label brands. Australasian Marketing Journal, 19, 30–39. https://doi.org/10.1016/j.ausmj.2010.11.001
    Yang, J., Kim, W., Amblee, N., & Jeong, J. (2012). The heterogeneous effect of WOM on product sales: Why the effect of WOM valence is mixed? European Journal of Marketing, 46(11/12), 1523–1538. https://doi.org/10.1108/03090561211259961
    Yuki, T. (2015). What Makes Brands’ Social Content Shareable on Facebook?: An Analysis that Demonstrates The Power of Online Trust and Attention. Journal of Advertising Research, 55(4), 458–470. https://doi.org/10.2501/JAR-2015-026
    Zhang, M. (2017, November). The OTT Co-Viewing Experience: 2017. Interactive Advertising Bureau. https://www.iab.com/wp-content/uploads/2017/11/The-Co-Viewing-Experience-2017_IAB__.pdf
    Zhu, Y.-Q., & Kanjanamekanant, K. (2021). No trespassing: Exploring privacy boundaries in personalized advertisement and its effects on ad attitude and purchase intentions on social media. Information & Management, 58(2), 103314. https://doi.org/10.1016/j.im.2020.103314
    Zimu, F. (2023). Exploring the Impact of Cultural Factors on Consumer Behavior in E-Commerce: A Cross-Cultural Analysis. Journal of Digitainability, Realism & Mastery (DREAM), 2(03), 31–36. https://doi.org/10.56982/dream.v2i03.90

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