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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/136271


    Title: 網路評論對於購買意願之影響 -以產品類型為調節變數
    The influence of online reviews on purchase intention -A moderating role of product type
    Authors: 黃品錞
    Huang, Pin-Chun
    Contributors: 簡睿哲
    Jian, Rui-Zhe
    黃品錞
    Huang, Pin-Chun
    Keywords: 網路評論品質
    正面網路評論
    產品類型
    產品涉入程度
    觀看評論者專業性
    Online Review
    Product Involvement
    Prouct Type
    postive review
    review quality
    Recipient’s Expertise
    Date: 2021
    Issue Date: 2021-08-04 14:25:17 (UTC+8)
    Abstract: 隨著網路的普及，網路購物變得越來越完善，消費者購物逐漸從線下轉為線上，沒有了線下商品實際的觀看，消費者購物前會在線上搜尋產品相關的資訊，並利用其他消費者的網路評論來當作參考依據，以降低對商品的疑慮，但評論的內容千百種，何種評論才能有效地增加消費者對於商品的購買意願呢?故本研究欲探討網路評論品質、正面網路評論對於消費者購買意願之影響，並因為不同產品類型可能會有不同的研究結果，消費者對於產品的涉入程度、對網路評論的了解程度也可能對結果產生影響，故此研究把產品類型與產品涉入程度以及觀看者專業性當作調節變數，分別探討正面網路評論對購買意願之調節效果。
    此研究透過發放問卷來驗證網路評論品質、正面網路評論、產品類型、產品涉入程度、觀看評論者專業性之關係，最後的研究結果也顯示，網路評論品質及正面網路評論能夠有效地增加消費者的購買意願，且產品類型會顯著調節正面網路評論與購買意願之關係。
    With the popularization of the network, online shopping is becoming more and more convenient,The purpose of this study is to investigate whether postive reviews,review quality affect consumers` purchase intention.Because different product types may have different research results, the degree of consumer involvement in the product, and Knowledge of online comments may also influence the results. Therefore,product type and product involvement degree and Recipient’s Expertise are regarded as moderating variables in this study.

    In this study, questionnaires were issued to verify the relationship between positive review, review quality, Recipient’s Expertise ,product type and product involvement . The results also show that the quality of online reviews and positive online reviews can effectively increase consumers` purchase intention, and the Product type significantly moderates the relationship between positive online reviews and purchase intention.
    Reference: 中文文獻
    財團法人台灣網路資訊中心，2019。2019台灣網路報告 調查亮點與焦點座談會主題
    陳冠榮 ，2019。網購市場成長，2019 年電子購物營收估破 2,000 億元大關
    翁書婷，2016。Google:69%的台灣消費者傾向在購物前先上網研究
    大大學院，2018。消費者相信誰？線上評論如何影響消費者線上/線下購買決策


    英文文獻

     Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the pricing power of product features by mining consumer reviews. Management science, 57(8), 1485-1509.
     Avery, R. J. (1996). Determinants of search for nondurable goods: An empirical assessment of the economics of information theory. Journal of Consumer Affairs, 30(2), 390-420.
     Bao, Y., Bao, Y., & Sheng, S. (2011). Motivating purchase of private brands: Effects of store image, product signatureness, and quality variation. Journal of Business Research, 64(2), 220-226.
     Bei, L. T., Chen, E. Y., & Widdows, R. (2004). Consumers` online information search behavior and the phenomenon of search vs. experience products. Journal of family and economic issues, 25(4), 449-467.
     BliegeBird, R., & Smith, E. (2005). Signaling theory, strategic interaction, and symbolic capital. Current anthropology, 46(2), 221-248.
     Brauer, M., Chambres, P., Niedenthal, P. M., & Chatard-Pannetier, A. (2004). The relationship between expertise and evaluative extremity: The moderating role of experts` task characteristics. Journal of Personality and Social Psychology, 86(1), 5.
     Carney, M., Edwards, G., & Kim, A. (2020). Doing Well by Doing Wrong: Stakeholders Salience, Wrongdoing, and Reputational Penalties. In Academy of Management Proceedings (Vol. 2020, No. 1, p. 19962). Briarcliff Manor, NY 10510: Academy of Management.
     Chatterjee, P. (2001). Online reviews: do consumers use them?.
     Chen, S. L., Yu, H., Luo, H. M., Wu, Q., Li, C. F., & Steinmetz, A. (2016). Conservation and sustainable use of medicinal plants: problems, progress, and prospects. Chinese medicine, 11(1), 1-10.
     Cheung, C. M. Y., Sia, C. L., & Kuan, K. K. (2012). Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective. Journal of the Association for Information Systems, 13(8), 2.
     Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of marketing research, 43(3), 345-354..
     Clemons, E. K., Gao, G. G., & Hitt, L. M. (2006). When online reviews meet hyperdifferentiation: A study of the craft beer industry. Journal of management information systems, 23(2), 149-171.
     Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011). Signaling theory: A review and assessment. Journal of management, 37(1), 39-67.
     Crowley, A. E., & Hoyer, W. D. (1994). An integrative framework for understanding two-sided persuasion. Journal of Consumer research, 20(4), 561-574.
     De Maeyer, P. (2012). Impact of online consumer reviews on sales and price strategies: A review and directions for future research. Journal of Product & Brand Management.
     Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management science, 49(10), 1407-1424.
     Dhar, R., & Wertenbroch, K. (2007). The costs and benefits of temptation in consumer choice. Working paper.
     Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter?—An empirical investigation of panel data. Decision support systems, 45(4), 1007-1016.
     Eisend, M. (2006). Source credibility dimensions in marketing communication–A generalized solution. Journal of Empirical Generalisations in Marketing Science, 10(2).
     Eslami, S. P., & Ghasemaghaei, M. (2017). Identifying the conditions under which online reviews translate into product sales: a sentiment analysis approach.
     Eslami, S. P., Ghasemaghaei, M., & Hassanein, K. (2018). Which online reviews do consumers find most helpful? A multi-method investigation. Decision Support Systems, 113, 32-42.
     Filieri, R., & McLeay, F. (2014). E-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of travel research, 53(1), 44-57.
     Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., & Freling, T. (2014). How online product reviews affect retail sales: A meta-analysis. Journal of Retailing, 90(2), 217-232.
     Ford, G. T., Smith, D. B., & Swasy, J. L. (1990). Consumer skepticism of advertising claims: Testing hypotheses from economics of information. Journal of consumer research, 16(4), 433-441.
     Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Information systems research, 19(3), 291-313.
     Ghasemaghaei, M., & Hassanein, K. (2015). Online information quality and consumer satisfaction: The moderating roles of contextual factors–A meta-analysis. Information & Management, 52(8), 965-981.
     Ghose, A., & Ipeirotis, P. G. (2006, December). Designing ranking systems for consumer reviews: The impact of review subjectivity on product sales and review quality. In Proceedings of the 16th annual workshop on information technology and systems (Vol. 303, No. 10).
     Ghose, A., & Ipeirotis, P. G. (2010). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE transactions on knowledge and data engineering, 23(10), 1498-1512.
     Griffith, D. A., Krampf, R. F., & Palmer, J. W. (2001). The role of interface in electronic commerce: Consumer involvement with print versus on-line catalogs. International Journal of Electronic Commerce, 5(4), 135-153.
     Hoffman, E., & Daugherty, T. (2013). Is a picture always worth a thousand words? Attention to structural elements of eWOM for consumer brands within social media. ACR North American Advances.
     Hu, N., Liu, L., & Zhang, J. J. (2008). Do online reviews affect product sales? The role of reviewer characteristics and temporal effects. Information Technology and management, 9(3), 201-214.
     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, 66, 96-102.
     Jeong, H. J., & Koo, D. M. (2015). Combined effects of valence and attributes of e-WOM on consumer judgment for message and product: The moderating effect of brand community type. Internet Research.
     Kandampully, J., Zhang, T. C., & Bilgihan, A. (2015). Customer loyalty: a review and future directions with a special focus on the hospitality industry. International Journal of Contemporary Hospitality Management.
     Karasek III, R., & Bryant, P. (2012). Signaling theory: Past, present, and future. Academy of Strategic Management Journal, 11(1), 91.
     Kesari, B., & Atulkar, S. (2016). Satisfaction of mall shoppers: A study on perceived utilitarian and hedonic shopping values. Journal of Retailing and Consumer services, 31, 22-31.
     Khan, U., & Dhar, R. (2010). Price-framing effects on the purchase of hedonic and utilitarian bundles. Journal of Marketing Research, 47(6), 1090-1099.
     King, D. B., O`Rourke, N., & DeLongis, A. (2014). Social media recruitment and online data collection: A beginner’s guide and best practices for accessing low-prevalence and hard-to-reach populations. Canadian Psychology/Psychologie canadienne, 55(4), 240.
     Linville, P. W. (1982). The complexity–extremity effect and age-based stereotyping. Journal of personality and social psychology, 42(2), 193.
     Mayzlin, D., Dover, Y., & Chevalier, J. (2014). Promotional reviews: An empirical investigation of online review manipulation. American Economic Review, 104(8), 2421-55.
     Mudambi, S., Schuff, D., & Zifla, E. (2016). What’s “Funny” about Technology Adoption? Humorous Appropriation of Online Review Platforms.
     Negash, S., Ryan, T., & Igbaria, M. (2003). Quality and effectiveness in web-based customer support systems. Information & management, 40(8), 757-768.
     Nelson, P. (1970). Information and consumer behavior. Journal of political economy, 78(2), 311-329.
     Nguyen, D. H., de Leeuw, S., & Dullaert, W. E. (2018). Consumer behaviour and order fulfilment in online retailing: a systematic review. International Journal of Management Reviews, 20(2), 255-276.
     Park, D. H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International journal of electronic commerce, 11(4), 125-148.
     Pavlou, P. A., & Dimoka, A. (2006). The nature and role of feedback text comments in online marketplaces: Implications for trust building, price premiums, and seller differentiation. Information Systems Research, 17(4), 392-414.
     Poston, R. S., & Speier, C. (2005). Effective use of knowledge management systems: A process model of content ratings and credibility indicators. MIS quarterly, 221-244.
     Ratchford, B. T., Talukdar, D., & Lee, M. S. (2001). A model of consumer choice of the Internet as an information source. International Journal of Electronic Commerce, 5(3), 7-21.(CH3 H2)
     Ratchford, B. T., Talukdar, D., & Lee, M. S. (2007). The impact of the Internet on consumers` use of information sources for automobiles: A re-inquiry. Journal of Consumer Research, 34(1), 111-119.
     Roy, R., & Ng, S. (2012). Regulatory focus and preference reversal between hedonic and utilitarian consumption. Journal of Consumer Behaviour, 11(1), 81-88.
     Russell-Bennett, R., McColl-Kennedy, J. R., & Coote, L. V. (2007). Involvement, satisfaction, and brand loyalty in a small business services setting. Journal of business research, 60(12), 1253-1260.
     Sarkar, A. (2011). Impact of utilitarian and hedonic shopping values on individual`s perceived benefits and risks in online shopping. International management review, 7(1), 58.
     Schlosser, A. E. (2005). Posting versus lurking: Communicating in a multiple audience context. Journal of Consumer Research, 32(2), 260-265.
     Stephen, A. T., & Galak, J. (2012). The effects of traditional and social earned media on sales: A study of a microlending marketplace. Journal of marketing research, 49(5), 624-639.
     Taj, S. A. (2016). Application of signaling theory in management research: Addressing major gaps in theory. European Management Journal, 34(4), 338-348.
     Tetlock, P. E. (1983). Accountability and the perseverance of first impressions. Social Psychology Quarterly, 285-292.
     Todd, P., & Benbasat, I. (1992). The use of information in decision making: An experimental investigation of the impact of computer-based decision aids. Mis Quarterly, 373-393.
     Weisstein, F. L., Song, L., Andersen, P., & Zhu, Y. (2017). Examining impacts of negative reviews and purchase goals on consumer purchase decision. Journal of Retailing and Consumer Services, 39, 201-207.
     Ye, Q., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28(1), 180-182.
     Zaggl, M. A., Hagenmaier, M. A., & Raasch, C. (2019). The choice between uniqueness and conformity in mass customization. R&D Management, 49(2), 204-221.
     Zaichkowsky, J. L. (2010). Consumer involvement. Wiley International Encyclopedia of Marketing.
     Zhou, S., & Guo, B. (2017). The order effect on online review helpfulness: A social influence perspective. Decision Support Systems, 93, 77-87.
     Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of marketing, 74(2), 133-148.
    Description: 碩士
    國立政治大學
    國際經營與貿易學系
    108351006
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0108351006
    Data Type: thesis
    DOI: 10.6814/NCCU202101018
    Appears in Collections:[國際經營與貿易學系 ] 學位論文

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