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Online Reviews and Perceived Usefulness on Consumers’ Purchasing Behavior Intention
Consumer purchase intention
|Issue Date: ||2019-09-05 15:39:39 (UTC+8)|
Online information search is replacing traditional offline information search gradually, and the use of online consumer reviews is increasingly becoming part of people's daily lives. Consumers continue to seek help from online consumers during the purchase process. Whether it's a red lipstick, a holiday destination, a financial plan, or even a donation to a charity, people always read other people's opinions online. The importance of online reviews has been recognized, and companies with more online reviews can bring greater value to consumers and attract consumers to the web site. However, excess information has also brought new problems to consumers and increased the cost of shopping. With the use of more and more people, the problem of information overload has attracted people's attention gradually. The Internet is full of huge amounts of information. The large amount of unfiltered information is presented to consumers directly, making the usefulness of information full of uncertainty， Consumers are tired of distinguishing truly valuable content.
Therefore, understanding the online reviews that consumers think is more useful can help to promote the decision-making process, and the economic value is also very important to enterprises. This study will explore the online reviews of what attributes can be of greater help to consumers and have an impact in the final decision-making process.
|Reference: ||1.Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Action control, Springer: 11-39.|
2.Ajzen, I. (1991). "The theory of planned behavior." Organizational behavior and human decision processes 50(2): 179-211.
3.Archak, N., et al. (2011). "Deriving the Pricing Power of Product Features by Mining Consumer Reviews." Management science 57(8): 1485-1509.
4.Arndt, J. (1967). "Role of product-related conversations in the diffusion of a new product." Journal of marketing Research 4(3): 291-295.
5.Baek, H., et al. (2012). "Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues." International Journal of Electronic Commerce 17(2): 99-126.
6.Bandura, A., et al. (1977). "Cognitive processes mediating behavioral change." J Pers Soc Psychol 35(3): 125-139.
7.Bansal, H. S. and P. A. Voyer (2000). "Word-of-mouth processes within a services purchase decision context." Journal of service research 3(2): 166-177.
8.Baron, R. M. and D. A. Kenny (1986). "The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations." J Pers Soc Psychol 51(6): 1173-1182.
9.Barrick, M. R. and M. K. Mount (1991). "The big five personality dimensions and job performance: a meta‐analysis." Personnel psychology 44(1): 1-26.
10.Bei, L.-T., et al. (2004). "Consumers' online information search behavior and the phenomenon of search vs. experience products." Journal of Family and Economic Issues 25(4): 449-467.
11.Bhattacherjee, A. and C. Sanford (2006). "Influence processes for information technology acceptance: An elaboration likelihood model." MIS quarterly 30(4): 805-825.
12.Bickart, B. and R. M. Schindler (2001). "Internet forums as influential sources of consumer information." Journal of interactive marketing 15(3): 31-40.
13.Bolton, R. N. and J. H. Drew (1992). "Mitigating the effect of service encounters." Marketing Letters 3(1): 57-70.
14.Bristor, J. (1990). "Exhanced explanations of word of mouth communications; the power of relations." Research in consumer behavior 4: 51-83.
15.Brucks, M. (1985). "The Effects of Product Class Knowledge on Information Search Behavior." Journal of consumer research 12(1): 1-16.
16.Butler, P. and J. Peppard (1998). "Consumer purchasing on the Internet:: Processes and prospects." European management journal 16(5): 600-610.
17.Cao, Q., et al. (2011). "Exploring determinants of voting for the “helpfulness” of online user reviews: A text mining approach." Decision Support Systems 50(2): 511-521.
18.Chatterjee, P. (2001). "Online reviews: do consumers use them?".
19.Chen, Y. and J. Xie (2008). "Online consumer review: Word-of-mouth as a new element of marketing communication mix." Management science 54(3): 477-491.
20.Cheung, C. M. and M. K. Lee (2012). "What drives consumers to spread electronic word of mouth in online consumer-opinion platforms." Decision Support Systems 53(1): 218-225.
21.Cheung, C. M., et al. (2008). "The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities." Internet research 18(3): 229-247.
22.Cheung, C. M. and D. R. Thadani (2012). "The impact of electronic word-of-mouth communication: A literature analysis and integrative model." Decision Support Systems 54(1): 461-470.
23.Cheung, M. Y., et al. (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.
24.Chevalier, J. A. and D. Mayzlin (2006). "The effect of word of mouth on sales: Online book reviews." Journal of marketing Research 43(3): 345-354.
25.Constantinides, E. (2004). "Influencing the online consumer's behavior: the Web experience." Internet research 14(2): 111-126.
26.Cui, G., et al. (2012). "The effect of online consumer reviews on new product sales." International Journal of Electronic Commerce 17(1): 39-58.
27.Davis, F. D. (1993). "User acceptance of information technology: system characteristics, user perceptions and behavioral impacts." International journal of man-machine studies 38(3): 475-487.
28.Davis, F. D., et al. (1989). "User acceptance of computer technology: a comparison of two theoretical models." Management science 35(8): 982-1003.
29.Decker, R. and M. Trusov (2010). "Estimating aggregate consumer preferences from online product reviews." International Journal of Research in Marketing 27(4): 293-307.
30.Dodds, W. B. and K. B. Monroe (1985). "The effect of brand and price information on subjective product evaluations." ACR North American Advances.
31.Duan, W., et al. (2008). "Do online reviews matter?—An empirical investigation of panel data." Decision Support Systems 45(4): 1007-1016.
32.Duan, W., et al. (2008). "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry." Journal of retailing 84(2): 233-242.
33.Duan, W., et al. (2009). "Informational cascades and software adoption on the internet: an empirical investigation." MIS quarterly: 23-48.
34.Fishbein, M. and I. Ajzen (1975). Intention and Behavior: An introduction to theory and research, Addison-Wesley, Reading, MA.
35.Fishbein, M. and I. Ajzen (1977). "Belief, attitude, intention, and behavior: An introduction to theory and research."
36.Forman, C., et al. (2008). "Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets." Information systems research 19(3): 291-313.
37.Ghose, A. and P. G. Ipeirotis (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.
38.Gretzel, U. and K. H. Yoo (2008). "Use and impact of online travel reviews." Information and communication technologies in tourism 2008: 35-46.
39.Häubl, G. and V. Trifts (2000). "Consumer decision making in online shopping environments: The effects of interactive decision aids." Marketing science 19(1): 4-21.
40.Hennig-Thurau, T., et al. (2004). "Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet?" Journal of interactive marketing 18(1): 38-52.
41.Holmes, J. H. and J. D. Lett (1977). "Product sampling and word of mouth." Journal of Advertising Research.
42.Hu, N., et al. (2008). "Do online reviews affect product sales? The role of reviewer characteristics and temporal effects." Information Technology and management 9(3): 201-214.
43.Huang, Y., et al. (2012). "Consumer susceptibility to interpersonal influence in Mainland China." Asian Journal of Social Psychology 15(2): 140-144.
44.Jäggi, N. and A. Zaugg (2006). "The impact of customer loyalty on complaining behaviour."
45.Jo, Y. and A. H. Oh (2011). Aspect and sentiment unification model for online review analysis. Proceedings of the fourth ACM international conference on Web search and data mining, ACM.
46.Kim, D.-Y., et al. (2007). "Gender differences in online travel information search: Implications for marketing communications on the internet." Tourism management 28(2): 423-433.
47.Kim, S.-M., et al. (2006). Automatically assessing review helpfulness. Proceedings of the 2006 Conference on empirical methods in natural language processing, Association for Computational Linguistics.
48.King, R. A., et al. (2014). "What we know and don't know about online word-of-mouth: A review and synthesis of the literature." Journal of interactive marketing 28(3): 167-183.
49.Korfiatis, N., et al. (2012). "Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content." Electronic Commerce Research and Applications 11(3): 205-217.
50.Korgaonkar, P. K. and L. D. Wolin (1999). "A multivariate analysis of web usage." Journal of Advertising Research 39(2): 53-53.
51.Kuenzel, J. and P. Musters (2007). "Social interaction and low involvement products." Journal of Business research 60(8): 876-883.
52.Laurent, G. and J.-N. Kapferer (1985). "Measuring consumer involvement profiles." Journal of marketing Research 22(1): 41-53.
53.Lee, G.-G. and H.-F. Lin (2005). "Customer perceptions of e-service quality in online shopping." International Journal of Retail & Distribution Management 33(2): 161-176.
54.Lichtenstein, D. R. and W. O. Bearden (1989). "Contextual influences on perceptions of merchant-supplied reference prices." Journal of consumer research 16(1): 55-66.
55.Liu, Y. (2006). "Word of mouth for movies: Its dynamics and impact on box office revenue." Journal of marketing 70(3): 74-89.
56.Liu, Z. and S. Park (2015). "What makes a useful online review? Implication for travel product websites." Tourism management 47: 140-151.
57.Madu, C. N. and A. A. Madu (2002). "Dimensions of e-quality." International Journal of Quality & reliability management 19(3): 246-258.
58.Mishra, S., et al. (1993). "Antecedents of the attraction effect: An information-processing approach." Journal of marketing Research 30(3): 331-349.
59.Mudambi, S. M. and D. Schuff (2010). "What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.Com." MIS quarterly 34(1): 185-200.
60.Mudambi, S. M. and D. Schuff (2010). "What makes a helpful review? A study of customer reviews on Amazon. com." MIS quarterly 34(1): 185-200.
61.O’cass, A. and T. Fenech (2003). "Web retailing adoption: exploring the nature of internet users Web retailing behaviour." Journal of Retailing and Consumer services 10(2): 81-94.
62.Pan, X., et al. (2002). "Can Differences in E-Tailer Prices Be Explained by Service Quality?" Journal of the Academy of Marketing Science 30(4): 433-446.
63.Parasuraman, A., et al. (1985). "A conceptual model of service quality and its implications for future research." Journal of marketing 49(4): 41-50.
64.Park, C. and T. M. Lee (2009). "Antecedents of online reviews' usage and purchase influence: An empirical comparison of US and Korean consumers." Journal of interactive marketing 23(4): 332-340.
65.Park, C. and T. M. Lee (2009). "Information direction, website reputation and eWOM effect: A moderating role of product type." Journal of Business research 62(1): 61-67.
66.Park, D.-H. and S. Kim (2008). "The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews." Electronic Commerce Research and Applications 7(4): 399-410.
67.Park, D.-H., et al. (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.
68.Picazo-Vela, S., et al. (2010). "Why provide an online review? An extended theory of planned behavior and the role of Big-Five personality traits." Computers in Human Behavior 26(4): 685-696.
69.Pornpitakpan, C. (2004). "The persuasiveness of source credibility: A critical review of five decades' evidence." Journal of applied social psychology 34(2): 243-281.
70.Racherla, P. and W. Friske (2012). "Perceived ‘usefulness’ of online consumer reviews: An exploratory investigation across three services categories." Electronic Commerce Research and Applications 11(6): 548-559.
71.Richins, M. L. (1983). "Negative word-of-mouth by dissatisfied consumers: A pilot study." Journal of marketing 47(1): 68-78.
72.Scarabis, M., et al. (2006). "When consumers follow their feelings: The impact of affective or cognitive focus on the basis of consumers' choice." Psychology & Marketing 23(12): 1015-1034.
73.Shankar, V., et al. (2002). "Online trust: a stakeholder perspective, concepts, implications, and future directions." The Journal of strategic information systems 11(3-4): 325-344.
74.Verhagen, T., et al. (2013). "Negative online word-of-mouth: Behavioral indicator or emotional release?" Computers in Human Behavior 29(4): 1430-1440.
75.Yin, D., et al. (2014). "Anxious or angry? Effects of discrete emotions on the perceived helpfulness of online reviews." MIS quarterly 38(2): 539-560.
76.Zeithaml, V. A. (1988). "Consumer Perceptions of Price, Quality, and Value - a Means-End Model and Synthesis of Evidence." Journal of marketing 52(3): 2-22.
78.郝媛媛，叶强，李一军，基于影评数据的在线评论有用性影响因素研究，管理科学学报，2010，78 - 88
|Source URI: ||http://thesis.lib.nccu.edu.tw/record/#G0106351051|
|Data Type: ||thesis|
|Appears in Collections:||[國際經營與貿易學系 ] 學位論文|
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