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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 國際企業學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/92214
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳瑀屏zh_TW
dc.contributor.advisorYu-Ping Chenen
dc.contributor.author陳鴻文zh_TW
dc.contributor.authorHung-Wen Chenen
dc.date.accessioned2024-03-08T16:20:22Z-
dc.date.available2024-03-09-
dc.date.copyright2024-03-08-
dc.date.issued2024-
dc.date.submitted2024-02-15-
dc.identifier.citation林思妤(2016)。 網路電影評論對觀賞意圖之研究。國立交通大學經營管理研究所碩士論文,台北市。取自https://hdl.handle.net/11296/2dn635
浦心蕙、蕭涵中(2012)。電子口碑訊息來源可信度對旅遊產品購買意圖之影響。行銷科學學報8(2):97-116
郭力慈(2014)。量化與質化線上評論資訊差異對於商品品質及購買意圖的影響(碩士論文)。台灣大學,台北。
陳宜檉、蕭雅文、林怡倩(2017)。旅遊社群網站網路口碑信任對旅遊商品購買意願影響之研究:延伸科技接受模式的理論觀點。觀光與休閒管理期刊5(1):28-41。DOI: 10.6510/JTLM.5(1).03
歐陽宇、謝又安(2017)。台灣旅遊住宿消費者對旅遊網路口碑接受度之研究。健康產業管理期刊4(3):30-48。DOI: 10.30149/JHCI.201712_4(3).0004
永井竜之介(2015)「消費者の混乱に対するアプローチ」『日本マーケティング学会』34(4)、p.185-195。
Au Yeung, C. M., & Iwata, T. (2011, February). Strength of social influence in trust networks in product review sites. In Proceedings of the fourth ACM international conference on Web search and data mining (pp. 495-504).
Bae, S., & Lee, T. (2011). Product type and consumers’ perception of online consumer reviews. Electronic Markets, 21, 255-266.
Bawden, D., & Robinson, L. (2009). The dark side of information: overload, anxiety and other paradoxes and pathologies. Journal of information science, 35(2), 180-191.
Benselin, J. C., & Ragsdell, G. (2016). Information overload: The differences that age makes. Journal of Librarianship and Information Science, 48(3), 284-297.
Dellarocas, C., Zhang, X., & Awad, N. F. (2007). Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive marketing, 21(4), 23-45.
Dijksterhuis, A., & Nordgren, L. F. (2006). A theory of unconscious thought. Perspectives on Psychological science, 1(2), 95-109.
Dijksterhuis, A., & Van Olden, Z. (2006). On the benefits of thinking unconsciously: Unconscious thought can increase post-choice satisfaction. Journal of experimental social psychology, 42(5), 627-631.
Eliashberg, J., & Shugan, S. M. (1997). Film critics: Influencers or predictors?. Journal of marketing, 61(2), 68-78.
Furner, C. P., Zinko, R., & Zhu, Z. (2016). Electronic word-of-mouth and information overload in an experiential service industry. Journal of Service Theory and Practice, 26(6), 788-810.
Gao, J., Zhang, C., Wang, K., & Ba, S. (2012). Understanding online purchase decision making: The effects of unconscious thought, information quality, and information quantity. Decision Support Systems, 53(4), 772-781.
Haw, W. Y., Ho, E., Lim, Y. L., & Wong, J. W. (2013). The effect of trailer, critic review, star power and word of mouth toward decision making on movie consumption (Doctoral dissertation, UTAR).
Huang, P., Lurie, N. H., & Mitra, S. (2009). Searching for experience on the web: An empirical examination of consumer behavior for search and experience goods. Journal of marketing, 73(2), 55-69.
Jones, Q., Ravid, G., & Rafaeli, S. (2004). Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Information systems research, 15(2), 194-210.
Kim, K., Park, C., Yoon, S., Choi, Y. K., Oh, S., & Lee, J. (2019). Branded entertainment: Gender differences in reactions to star ratings. Journal of Consumer Behaviour, 18(2), 166-176.
Klein, L. R. (1998). Evaluating the potential of interactive media through a new lens: Search versus experience goods. Journal of business research, 41(3), 195-203.
Kwon, B. C., Kim, S. H., Duket, T., Catalán, A., & Yi, J. S. (2015). Do people really experience information overload while reading online reviews?. International Journal of Human-Computer Interaction, 31(12), 959-973.
Li, M., Huang, L., Tan, C. H., & Wei, K. K. (2013). Helpfulness of online product reviews as seen by consumers: Source and content features. International Journal of Electronic Commerce, 17(4), 101-136.
Malik, M. S. I., & Hussain, A. (2017). Helpfulness of product reviews as a function of discrete positive and negative emotions. Computers in Human Behavior, 73, 290-302.
Mudambi, S. M., & Schuff, D. (2010). Research note: What makes a helpful online review? A study of customer reviews on Amazon. com. MIS quarterly, 185-200.
Nelson, P. (1970). Information and consumer behavior. Journal of political economy, 78(2), 311-329.
Park, D. H., Lee, J., & Han, I. (2006). Information overload and its consequences in the context of online consumer reviews.
Tsang, A. S., & Prendergast, G. (2009). Is a “star” worth a thousand words? The interplay between product‐review texts and rating valences. European Journal of Marketing, 43(11/12), 1269-1280.
Ullah, R., Zeb, A., & Kim, W. (2015). The impact of emotions on the helpfulness of movie reviews. Journal of applied research and technology, 13(3), 359-363.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/92214-
dc.description.abstract資訊過載的概念首先出現於1960年代,最一開始為用以描述實體紙本資料過多所造成的資訊處理能力負荷過重之問題的用語。隨著數位化時代的來臨,資料的儲存形式從紙本轉變為數位,資訊過載的涵義也跟著擴大。到了現代,除了實體資料過多所造成的資訊處理能力負荷過重之問題外,資訊過載也成為了用以描述數位資料過多問題之用語。

在消費者決策過程的脈絡之中,資訊過載問題的具體體現一直是學者們關心的主題之一。Nelson(1970)首先提出了,消費者進行任何購物決策前都一定會進行資訊收集的動作,以評估各商品間品質、價格等的不同。本研究所欲探討的,即是此資訊蒐集階段中消費者會產生的資訊過載現象。

消費者在資訊蒐集階段中會接觸到的資訊,除了價格、產地、製造商等之外,還有來自他人對該商品的評論。尤其在購入使用前難以理解商品價值的經驗財的部分,依據他人經驗所撰寫出的評論就顯得對決策更為重要。舉例而言,電影這項經驗財,其相關評論因能有效成為決策前的參考資料,影評相關產業發展多時,不論是製作方或是消費方都對其有穩定需求。在電影購物決策過程中的資訊蒐集階段,消費者閱讀線上影評時會不會出現資訊過載的現象,即為本研究欲探討的主題。

透過實證研究,本研究發現在評論則數最多為20則的實驗環境下,消費者似乎能透過策略及無意識思考,成功避免陷入資訊過載的問題之中。然而,由於購買意願並未出現隨評論數量增加而上升之情形,因此並不能保證多於20則影評的環境之下,消費者仍能以同樣的方式,避免資訊過載問題之發生。

由於過往研究中,對於閱讀評論時消費者會不會發生資訊過載之現象有不一致的結果,本研究希望能以更特定的研究要素,以及較貼近現實環境之實驗設計,得出應用範圍雖較受限制,但仍具實用性之研究結果。
zh_TW
dc.description.abstractThe term “information overload” was first coined in the 1960s. Originally used to describe the problem of the inability to process information caused by an overabundance of physical paper information, the term’s definition expanded as the digital age took over starting in the late 20th century. Now, it is also used to describe the problem of the inability to process information caused by an overabundance of digital information, which arguably might just be the main form of information people interact with nowadays.

Information overload in the context of the consumer decision-making process has always been of interest to scholars. Nelson (1970) first proposed that information used in the consumer decision-making context should come before the consumer makes a purchasing decision, being used to evaluate different purchase options such as the difference between their quality and price. What this research is interested in is this kind of information described here: information that consumers search beforehand in order to evaluate the different purchase options.

The information which consumers are exposed to in this information-gathering phase is not just limited to the usual price, manufacturer, and place of origin. Among the different types of information are product reviews. Especially when it comes to experience goods, goods that are hard to evaluate before consumption, or “experience,” product reviews can play an even bigger role in a consumer’s decision-making process since they can offer the consumer a glimpse of the “experience.” For example, when it comes to the consumption of an experience good like movies, movie reviews can become such a strong aid in the decision-making process that there exists a whole industry just surrounding movie reviews and there has always been a steady demand for them from movie makers and consumers alike. As such, the main focus of this research will be about if consumers will experience information overload when reading movie reviews in this information-gathering phase of the consumer decision process.

Through empirical research, this research determined that within a maximum number of 20 movie reviews, consumers seem to be able to avoid information overload by deploying strategies and processing information through unconscious thought while reading reviews. However, since consumers’ purchase intention don’t grow as the number of review increases, there is no guarantee that after 20 reviews, the same strategy and process through unconscious thought will still work to prevent information overload from happening and start to harm a consumer’s purchase intention.

Due to inconsistencies in prior research results, this study aims to use a more specific and realistic approach to design the experiment used in this study. Although it might be a more limited research result when it comes to applying it to real world situations, it can be more correctly applied due to all the specifics that was put into thought while designing the experiment.
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dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-03-08T16:20:22Z
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dc.description.provenanceMade available in DSpace on 2024-03-08T16:20:22Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents謝辭 i
論文摘要 ii
Thesis Abstract iii
目次 v
圖次 vi
表次 vii
第一章、緒論 1
1-1 研究主題介紹 1
1-2 研究背景與動機 2
第二章、文獻探討 4
2-1 消費者決策過程與口碑之影響 4
2-1-1. 評論內容之影響 5
2-1-2. 評論來源之影響 5
2-1-3. 資訊使用者特徵之影響 6
2-1-4. 所評論之商品之影響 6
2-2. 資訊過載與評論閱讀行為 7
第三章、研究設計與方法 9
3-1. 研究架構與假設 9
3-2. 問卷設計 12
3-3. 評論樣本之選擇 13
3-3-1. 爛番茄簡介 13
3-3-2. 本次研究使用之評論樣本 16
第四章、結果分析 20
4-1. 初步分析 20
4-1-1. 購買意願之初步分析 20
4-1-2. 決策信心之初步分析 22
4-2. 複迴歸分析 23
4-2-1. 線上電影評論對購買意願之影響 24
4-2-2. 線上電影評論對決策信心之影響 25
4-3. 分析結果解釋 26
4-4. 後續提問之結果分析 28
第五章、結論 32
5-1. 結果整理與管理意涵 32
5-2. 研究之不足及未來研究方向 34
參考文獻 35
附錄 38
A. 逐步迴歸分析詳細結果 38
A-1. 購買意願 38
A-2. 決策信心 44
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dc.language.isozh_TW-
dc.subject資訊過載zh_TW
dc.subject消費者決策過程zh_TW
dc.subject電影評論zh_TW
dc.subject數位口碑zh_TW
dc.subject經驗財zh_TW
dc.subject無意識思考理論zh_TW
dc.subjectMovie Reviewen
dc.subjectInformation Overloaden
dc.subjectUnconscious Thought Theoryen
dc.subjectExperience Goodsen
dc.subjectElectronic Word-of-Mouth (eWOM)en
dc.subjectConsumer Decision Making Processen
dc.title閱讀線上電影評論時資訊使用者資訊過載現象之探討zh_TW
dc.titleA Study on Information Overload when Reading Online Movie Reviewsen
dc.typeThesis-
dc.date.schoolyear112-1-
dc.description.degree碩士-
dc.contributor.oralexamcommittee吳政衞;林嘉薇zh_TW
dc.contributor.oralexamcommitteeCheng-Wei Wu;Jia-Wei Linen
dc.subject.keyword資訊過載,消費者決策過程,電影評論,數位口碑,經驗財,無意識思考理論,zh_TW
dc.subject.keywordInformation Overload,Consumer Decision Making Process,Movie Review,Electronic Word-of-Mouth (eWOM),Experience Goods,Unconscious Thought Theory,en
dc.relation.page49-
dc.identifier.doi10.6342/NTU202400682-
dc.rights.note未授權-
dc.date.accepted2024-02-17-
dc.contributor.author-college管理學院-
dc.contributor.author-dept國際企業學系-
顯示於系所單位:國際企業學系

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