The Impact of Product Review Usefulness on the Digital Market Consumers Distribution

키워드

참고문헌 (112)

1. Akter, S., "Big data analytics in Ecommerce : a systematic review and agenda for future research", Electronic Markets, 26(2), pp.173~194 (2016)
2. Amblee, N., "Harnessing the influence of social proof in online shopping : The effect of electronic word of mouth on sales of digital microproducts", International Journal of Electronic Commerce, 16(2), pp.91~114 (2011)
3. M. Bala, "A Critical Review of Digital Marketing", International Journal of Management, IT &Engineering, 8(10), pp.321~339 (2018)
4. Baron, R. M., "The moderator–mediator variable distinction in social psychological research : Conceptual, strategic, and statistical considerations", Journal of Personality and Social Psychology, 51(6), pp.1173~ (1986)
5. Büschken, J., "Sentence-based text analysis for customer reviews", Marketing Science, 35(6), pp.953~975 (2016)
6. Cao, Q., "Exploring determinants of voting for the"helpfulness"of online user reviews : A text mining approach", Decision Support Systems, 50(2), pp.511~521 (2011)
7. Chadwick, A., "Digital network repertoires and organizational hybridity", Political Communication, 24(3), pp.283~301 (2007)
8. Chaffey, D., "eMarketing eXcellence : Planning and optimizing your digital marketing" (2013), Routledge
9. Chaffey, D., "Digital marketing excellence : planning, optimizing and integrating online marketing" (2022), Taylor & Francis
10. Chakraborty, I., "COVID-19 outbreak : Migration, effects on society, global environment and prevention", Science of the Total Environment, 728, pp.1~7 (2020)
11. Chen, Y. C., "The effects of information overload on consumers’ subjective state towards buying decision in the internet shopping environment", Electronic Commerce Research and Applications, 8(1), pp.48~58 (2009)
12. Chevalier, J. A., "The effect of word of mouth on sales : Online book reviews", Journal of Marketing Research, 43(3), pp.345~354 (2006)
13. Coelho, P. S., "The choice between a fivepoint and a ten-point scale in the framework of customer satisfaction measurement", International Journal of Market Research, 49(3), pp.313~339 (2007)
14. Croarkin, E., "Evidence-based rating of upper-extremity motor function tests used for people following a stroke", Physical Therapy, 84(1), pp.62~74 (2004)
15. Danescu-Niculescu-Mizil, C., "How opinions are received by online communities: a case study on Amazon. com helpfulness votes", Proceedings of the 18th International Conference on World Wide Web, pp.141~150 (2009), Association for Computing Machinery
16. De Langhe, B., "Navigating by the stars : Investigating the actual and perceived validity of online user ratings", Journal of Consumer Research, 42(6), pp.817~833 (2016)
17. Decker, R., "Estimating aggregate consumer preferences from online product reviews", International Journal of Research in Marketing, 27(4), pp.293~307 (2010)
18. Degeratu, A. M., "Consumer choice behavior in online and traditional supermarkets : The effects of brand name, price, and other search attributes", International Journal of Research in Marketing, 17(1), pp.55~78 (2000)
19. Dellarocas, C., "Exploring the value of online product reviews in forecasting sales : The case of motion pictures", Journal of Interactive Marketing, 21(4), pp.23~45 (2007)
20. Dhanasobhon, S., "An analysis of the differential impact of reviews and reviewers at Amazon.com", Proceedings of the International Conference on Information Systems, ICIS 2007, pp.94~ (2007), Association for Information Systems
21. DiMaggio, P., "Have American's social attitudes become more polarized?", American Journal of Sociology, 102(3), pp.690~755 (1996)
22. Dimoka, A., "On product uncertainty in online markets : Theory and evidence", MIS Quarterly, 36(2), pp.395~426 (2012)
23. Donthu, N., "Effects of COVID-19 on business and research", Journal of Business Research, 117, pp.284~289 (2020)
24. Easterbrook, F. H., "Insider trading, secret agents, evidentiary privileges, and the production of information", The Supreme Court Review, 1981, pp.309~365 (1981)
25. Eslami, S. P., "Which online reviews do consumers find most helpful? A multimethod investigation", Decision Support Systems, 113, pp.32~42 (2018)
26. Fang, B., "Analysis of the perceived value of online tourism reviews : Influence of readability and reviewer characteristics", Tourism Management, 52, pp.498~506 (2016)
27. Feng, S., "Distributional footprints of deceptive product reviews", Proceedings of the The Sixth International AAAI Conference on Weblogs and SocialMedia, pp.98~105 (2012), Association for the Advancement of Artificial Intelligence
28. Filieri, R., "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM", Journal of Business Research, 68(6), pp.1261~1270 (2015)
29. Filieri, R., "What makes an online consumer review trustworthy?", Annals of Tourism Research, 58, pp.46~64 (2016)
30. Filieri, R., "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type", Computers in Human Behavior, 88, pp.134~142 (2018)
31. Finstad, K., "Response interpolation and scale sensitivity : Evidence against 5-point scales", Journal of Usability Studies, 5(3), pp.104~110 (2010)
32. Flanagin, A. J., "The credibility of volunteered geographic information", Geo Journal, 72(3-4), pp.137~148 (2008)
33. Flanagin, A. J., "Mitigating risk in ecommerce transactions : perceptions of information credibility and the role of user-generated ratings in product quality and purchase intention", Electronic Commerce Research, 14(1), pp.1~23 (2014)
34. Floyd, K., "How online product reviews affect retail sales : A meta-analysis", Journal of Retailing, 90(2), pp.217~232 (2014)
35. Füller, J., "Innovation creation by online basketball communities", Journal of Business Research, 60(1), pp.60~71 (2007)
36. Garland, R., "The mid-point on a rating scale : Is it desirable", Marketing Bulletin, 2(1), pp.66~70 (1991)
37. Ghazal, A., "Bigbench: Towards an industry standard benchmark for big data analytics", Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, pp.1197~1208 (2013), International Conference on Management of Data
38. Ghose, A., "Designing novel review ranking systems: predicting the helpfulness and impact of reviews", Proceedings of the Ninth International Conference on Electronic Commerce, pp.303~310 (2007), Association for Computing Machinery
39. Ghose, A., "Estimating the helpfulness and economic impact of product reviews : Mining text and reviewer characteristics", IEEE Transactions on Knowledge and Data Engineering, 23(10), pp.1498~1512 (2010)
40. Glaeser, S., "The effects of proprietary information on corporate disclosure and transparency : Evidence from trade secrets", Journal of Accounting and Economics, 66(1), pp.163~193 (2018)
41. Granados, N. F., "The impact of IT on market information and transparency : A unified theoretical framework", Journal of the Association for Information Systems, 7(3), pp.7~ (2006)
42. Gu, S., "Impact of the covid-19 pandemic on online consumer purchasing behavior", Journal of Theoretical and Applied Electronic Commerce Research, 16(6), pp.2263~2281 (2021)
43. Gursoy, D., "The metaverse in the hospitality and tourism industry : An overview of current trends and future research directions", Journal of Hospitality Marketing & Management, 31(5), pp.527~534 (2022)
44. Haque, T. U., "Sentiment analysis on large scale Amazon product reviews", Proceedings of the 2018 IEEE International Conference on Innovative Research and Development (ICIRD), pp.1~6 (2018), IEEE
45. Hashem, T. N., "Examining the influence of covid-19pandemic in changing customers' orientation towards eshopping", Modern Applied Science, 14(8), pp.59~76 (2020)
46. He, R., "Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering", Proceedings of the 25th International Conference on World Wide Web, pp.507~517 (2016), International World Wide Web Conferences Steering Committee
47. Hirschberg, J., "Advances in natural language processing", Science, 349(6245), pp.261~266 (2015)
48. Hu, N., "Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales", Decision Support Systems, 57, pp.42~53 (2014)
49. Hu, N., "Do online reviews affect product sales? The role of reviewer characteristics and temporal effects", Information Technology and Management, 9(3), pp.201~214 (2008)
50. Jeyapriya, A., "Extracting aspects and mining opinions in product reviews using supervised learning algorithm", Proceedings of the 2015 2nd International Conference on Electronics and Communication Systems (ICECS), pp.548~552 (2015), IEEE
51. Kannan, P. K., "Digital marketing : A framework, review and research agenda", International Journal of Research in Marketing, 34(1), pp.22~45 (2017)
52. Kapferer, J. N., "The new strategic brand management : Creating and sustaining brand equity long term" (2008), Kogan Page Publishers
53. Kaushik, K., "Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon. in", Journal of Retailing and Consumer Services, 45, pp.21~32 (2018)
54. Killian, G., "A marketing communications approach for the digital era : Managerial guidelines for social media integration", Business Horizons, 58(5), pp.539~549 (2015)
55. Kim, W. G., "The impact of social media reviews on restaurant performance : The moderating role of excellence certificate", International Journal of Hospitality Management, 55, pp.41~51 (2016)
56. Kopalle, P. K., "The effects of advertised quality emphasis and objective quality on sales", Journal of Marketing, 81(2), pp.114~126 (2017)
57. Kreimeyer, K., "Natural language processing systems for capturing and standardizing unstructured clinical information : a systematic review", Journal of Biomedical Informatics, 73, pp.14~29 (2017)
58. Krishnamoorthy, S., "Linguistic features for review helpfulness prediction", Expert Systems with Applications, 42(7), pp.3751~3759 (2015)
59. Kuan, K. K., "What makes a review voted? An empirical investigation of review voting in online review systems", Journal of the Association for Information Systems, 16(1), pp.1~ (2015)
60. Kuan, K. K., "What makes a review voted? An empirical investigation of review voting in online review systems", Journal of the Association for Information Systems, 16(1), pp.48~71 (2015)
61. Labrecque, L. I., "Consumer power : Evolution in the digital age", Journal of Interactive Marketing, 27(4), pp.257~269 (2013)
62. Lamberton, C., "A thematic exploration of digital, social media, and mobile marketing : Research evolution from 2000 to 2015 and an agenda for future inquiry", Journal of Marketing, 80(6), pp.146~172 (2016)
63. Lee, J., "The effect of negative online consumer reviews on product attitude : An information processing view", Electronic Commerce Research and Applications, 7(3), pp.341~352 (2008)
64. Lee, S., "The impact of online review helpfulness and word of mouth communication on box office performance predictions", Humanities and Social Sciences Communications, 7(1), pp.1~12 (2020)
65. Levin, A. M., "Product category dependent consumer preferences for online and offline shopping features and their influence on multi-channel retail alliances", Journal of Electronic Commerce Research, 4(3), pp.85~93 (2003)
66. Li, M., "Helpfulness of online product reviews as seen by consumers : Source and content features", International Journal of Electronic Commerce, 17(4), pp.101~136 (2013)
67. Meyers-Levy, J., "Schema congruity as a basis for product evaluation", Journal of Consumer Research, 16(1), pp.39~54 (1989)
68. Miles, M. B., "Qualitative data as an attractive nuisance : The problem of analysis", Administrative Science Quarterly, 24(4), pp.590~601 (1979)
69. Moon, S., "Dynamic effects among movie ratings, movie revenues, and viewer satisfaction", Journal of Marketing, 74(1), pp.108~121 (2010)
70. Moon, S., "The impact of text product reviews on sales", European Journal of Marketing, 48(11, pp.12) (2014), 2176~2197
71. Mudambi, S. M., "Research note : What makes a helpful online review? A study of customer reviews on Amazon. com", MIS Quarterly, 34(1), pp.185~200 (2010)
72. Murphy, G. B., "Measuring performance in entrepreneurship research", Journal of Business Research, 36(1), pp.15~23 (1996)
73. Nadeem, W., "The role of ethical perceptions in consumers’ participation and value co-creation on sharing economy platforms", Journal of Business Ethics, 169(3), pp.421~441 (2021)
74. Nadkarni, P. M., "Natural language processing : an introduction", Journal of the American Medical Informatics Association, 18(5), pp.544~551 (2011)
75. Olbrich, R., "Multichannel advertising:Does print advertising affect search engine advertising?", European Journal of Marketing, 48(9, pp.10) (2014), 1731~1756
76. Owoputi, O., "Improved part-of-speech tagging for online conversational text with word clusters", Proceedings of the 2013 conference of the North American chapter of the association for computational linguistics: human language technologies, pp.380~390 (2013), Association for Computational Linguistics
77. Park, D. H., "eWOM overload and its effect on consumer behavioral intention depending on consumer involvement", Electronic Commerce Research and Applications, 7(4), pp.386~398 (2008)
78. Park, D. H., "The effect of on-line consumer reviews on consumer purchasing intention : The moderating role of involvement", International Journal of Electronic Commerce, 11(4), pp.125~148 (2007)
79. Patrick, D. L., "Content validity—establishing and reporting the evidence in newly developed patient-reported outcomes(PRO)instruments for medical product evaluation : ISPOR PRO good research practices task force report : part 1—eliciting concepts for a new PRO instrument", Value in Health, 14(8), pp.967~977 (2011)
80. Pavlou, P. A., "Psychological contract violation in online marketplaces : Antecedents, consequences, and moderating role", Information Systems Research, 16(4), pp.372~399 (2005)
81. Prahalad, C. K., "Co-opting customer competence", Harvard Business Review, 78(1), pp.79~90 (2000)
82. Rahmati, P., "When all products are digital : Complexity and intangible value in the ecosystem of digitizing firms. Forthcoming", MIS Quarterly, 45(3), pp.1025~1058 (2021)
83. Rao, S., "The marketing and logistics efficacy of online sales channels", International Journal of Physical Distribution & Logistics Management, 39(2), pp.106~130 (2009)
84. Rapp, A., "Understanding social media effects across seller, retailer, and consumer interactions", Journal of the Academy of Marketing Science, 41(5), pp.547~566 (2013)
85. Ravi, K., "A survey on opinion mining and sentiment analysis : tasks, approaches and applications", Knowledge-based Systems, 89, pp.14~46 (2015)
86. Reyes, A., "Making objective decisions from subjective data : Detecting irony in customer reviews", Decision Support Systems, 53(4), pp.754~760 (2012)
87. Roche, J. R., "Relationships among international body condition scoring systems", Journal of Dairy Science, 87(9), pp.3076~3079 (2004)
88. Ryan, D., "Understanding digital marketing : marketing strategies for engaging the digital generation" (2016), Kogan Page Publishers
89. Salehan, M., "Predicting the performance of online consumer reviews : A sentiment mining approach to big data analytics", Decision Support Systems, 81, pp.30~40 (2016)
90. "E-commerce market share of leading e-retailers worldwide in 2020, based on GMV, statista.com" (2021)[URL]
91. Sen, S., "Why are you telling me this? An examination into negative consumer reviews on the web", Journal of Interactive Marketing, 21(4), pp.76~94 (2007)
92. Sharma, A., "Changing consumer behaviours towards online shopping-an impact of Covid 19", Academy of Marketing Studies Journal, 24(3), pp.1~10 (2020)
93. Shen, W., "Competing for attention", Mis Quarterly, 39(3), pp.683~696 (2015)
94. Skowronski, J. J., "Negativity and extremity biases in impression formation : A review of explanations", Psychological Bulletin, 105(1), pp.131~ (1989)
95. Sobel, M. E., "Asymptotic confidence intervals for indirect effects in structural equation models", Sociological Methodology, 13, pp.290~312 (1982)
96. Sun, S., "A review of natural language processing techniques for opinion mining systems", Information Fusion, 36, pp.10~25 (2017)
97. Sutton, J., "Qualitative research : Data collection, analysis, and management", The Canadian Journal of Hospital Pharmacy, 68(3), pp.226~ (2015)
98. Svahn, F., "Embracing digital innovation in incumbent firms", MIS Quarterly, 41(1), pp.239~254 (2017)
99. Taiminen, H. M., "The usage of digital marketing channels in SMEs", Journal of Small Business and Enterprise Development, 22(4), pp.633~651 (2015)
100. Taken Smith, K., "Longitudinal study of digital marketing strategies targeting Millennials", Journal of Consumer Marketing, 29(2), pp.86~92 (2012)
101. Tarka, P., "The comparison of estimation methods on the parameter estimates and fit indices in SEM model under 7-point Likert scale", Archives of Data Science, 2(1), pp.1~16 (2017)
102. Thabit, T., "The evaluation of marketing mix elements : A case study", International Journal of Social Sciences & Educational Studies, 4(4), pp.100~109 (2018)
103. Tiago, M. T. P. M. B., "Digital marketing and social media : Why bother?", Business Horizons, 57(6), pp.703~708 (2014)
104. Wang, Y., "What makes a helpful online review? A meta-analysis of review characteristics", Electronic Commerce Research, 19, pp.257~284 (2019)
105. Wisner, J. D., "Operations management : A supply chain process approach" (2020), Cognella Academic Publishing
106. Yang, S., "Analyzing the relationship between organic and sponsored search advertising : Positive, negative, or zero interdependence?", Marketing Science, 29(4), pp.602~623 (2010)
107. Ye, Q., "The impact of online user reviews on hotel room sales", International Journal of Hospitality Management, 28(1), pp.180~182 (2009)
108. Yi, J., "Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques", Proceedings of the Third IEEE International Conference on Data Mining, pp.427~434 (2003), IEEE
109. Zhang, K., "Mining millions of reviews: a technique to rank products based on importance of reviews", Proceedings of the 13th International Conference on Electronic Commerce, pp.1~8 (2011), Association for Computing Machinery
110. Zhao, H., "A machine learningbased sentiment analysis of online product reviews with a novel term weighting and feature selection approach", Information Processing & Management, 58(5), pp.102656~ (2021)
111. Zhou, J., "Sales volume and online reviews in a sequential game", Journal of the Operational Research Society, 74(10), pp.1~12 (2022)
112. Zikmund, W. G., "Essentials of Marketing Research" (2015), Cengage Learning

관련 논문AI추천