Online retail sector in India has witnessed a phenomenal growth in recent times. Online shopping has also become a popular trend among the younger generation in India. Increasing number of shoppers visit online retailer websites and read online reviews before making their purchase decision. The online reviews or electronic word of mouth (eWOM) becomes an important guiding tool for the online shoppers with its intrinsic product information and evaluation characteristics. The present study aims to analyze the effects of various eWOM antecedents on online sales by considering the effects of positive and mixed-neutral eWOM (MNWOM) valence (stimuli) on sales. It also explores the role of market-level eWOM factors, such as price, on online sales of security products like antivirus software. The confirmatory bias of these factors was noted, while the elaboration likelihood model (ELL) has been used to understand the relative importance of these factors in influencing customers’ purchase decision and sales. Further, a content analysis method supplemented by a multiple regression method was used to analyze 205 real-time online sales (reviews from verified purchasers) data pertaining to popular and top-selling antivirus products taken from two leading e-commerce websites. The study contributes as a pioneering effort in the domain with the use of innovative methodology of capturing real-time online data with a subsequent kappa statistics validation. The results showed a new insightful perspective of eWOM valence and price on sales, and provided further research directions.
AnazaN., & RutherfordB. (2014). Increasing business-to-business buyer word-of-mouth and share-of-purchase. Journal of Business & Industrial Marketing, 29(5), 427–437.
2.
BasuR. (2015). Are they really different? A study on apparel shoppers’ retail format perception in USA and India. Global Business Review, 16(1), 123–136.
3.
BasuR., GuinK., & SenguptaK. (2014). Do apparel store formats matter to Indian shoppers?International Journal of Retail & Distribution Management, 42(8), 698–716.
4.
BrownJ., BroderickA.J., & LeeN. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2–20.
5.
CasalóL.V., FlaviánC., & GuinalíuM. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26(6), 399–417.
6.
CharltonG. (2015). Ecommerce consumer reviews: Why you need them and how to use them. Retrieved 5June2016, from https://econsultancy.com/blog/9366-ecommerce-consumer-reviews-why-you-need-them-and-how-to-use-them/
7.
CheemaA., & KaikatiA.M. (2010). The effect of need for uniqueness on word of mouth. Journal of Marketing Research, 47(3), 553–563.
8.
ChenY., YangS., & WangZ. (2016). Service cooperation and marketing strategies of infomediary and online retailer with eWOM effect. Information Technology and Management, 17(2), 109–118.
9.
ChengYi-Hsiu, & HoHui-Yi (2015). Social influence’s impact on reader perceptions of online reviews. Journal of Business Research, 68(4), 883–887.
10.
CheungC.M.K., & ThadaniD.R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470.
11.
ChevalierJ.A., & MayzlinD. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354.
12.
ChuKuo-Kuang, & LiChi-Hua. (2012). The study of the effects of identity-related judgment, affective identification and continuance commitment on WOM behavior. Quality & Quantity, 46(1), 221–236.
13.
ChungJ. (2011). Investigating the roles of online buzz for new product diffusion and its cross-country dynamics. Journal of Business Research, 64(11), 1183–1189.
14.
CNET. (2008). What is the average life of an average desktop computer? Retrieved 20May2016, from http://www.cnet.com/forums/discussions/what-is-the-average-life-of-an-average-desktop-computer-316353/
15.
CraigS.C., GreeneW.H., & VersaciA. (2015). E-word of mouth: Early predictor of audience engagement. Journal of Advertising Research, 55(1), 62–72.
16.
CuiG., LuiHon-Kwong, & GuoX. (2012). The effect of online consumer reviews on new product sales. International Journal of Electronic Commerce, 17(1), 39–58.
17.
DeM., CelsoA., & RossiC.A.V. (2008). Word-of-mouth communications in marketing: A meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36(4), 578–596.
18.
Deloitte. (2014). Clicking towards growth-online retail in India. Retrieved 8January2016, from http://www2.deloitte.com/content/dam/Deloitte/in/Documents/consumer-business/in-cb-online-retail-in-india-clicking-towards-growth-noexp.pdf
19.
DuanW., GuB., & WhinstonA.B. (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.
20.
FloydK., FrelingR., AlhoqailS., ChoH.Y., & FrelingT. (2014). How online product reviews affect retail sales: A meta-analysis. Journal of Retailing, 90(2), 217–232.
21.
GodesD., & MayzlinD. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545–560.
22.
GopinathS., ThomasJ.S., & KrishnamurthiL. (2014). Investigating the relationship between the content of online word of mouth, advertising, and brand performance. Marketing Science, 33(2), 241–258.
23.
HalvorsonH.G. (2013). Are you promotion or prevention-focused? Retrieved 20May2016, from https://www.psychologytoday.com/blog/the-science-success/201303/are-you-promotion-or-prevention-focused
24.
Hennig-ThurauT., GwinnerK.P., WalshG., & GremlerD.D. (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.
25.
Hervas-DraneA. (2015). Recommended for you: The effect of word of mouth on sales concentration. International Journal of Research in Marketing, 32(2), 207–218.
26.
Ho-DacN.N., CarsonS.J., & MooreW.L. (2013). The effects of positive and negative online customer reviews: Do brand strength and category maturity matter?Journal of Marketing, 77(6), 37–53.
27.
HuangL., ZhangJ., LiuH., & LiangL. (2014). The effect of online and offline word-of-mouth on new product diffusion. Journal of Strategic Marketing, 22(2), 177–189.
28.
JeongEunHa, & JangSooCheong Shawn. (2011). Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations. International Journal of Hospitality Management, 30(2), 356–366.
29.
KellerE., & FayB. (2012). Word-of-mouth advocacy a new key to advertising effectiveness. Journal of Advertising Research, 52(4), 459–464.
30.
KimJ., & GuptaP. (2012). Emotional expressions in online user reviews: How they influence consumers’ product evaluations. Journal of Business Research, 65(7), 985–992.
31.
KingR.A., RacherlaP., & BushV.D. (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.
32.
KlaymanJ., & Ha, Young-Won. (1987). Confirmation, disconfirmation, and information in hypothesis testing. Psychological review, 94(2), 211.
33.
LeeYi-Chih, WuWei-Li, LinYang-Chu, & LeeChia-Ko. (2014). The effect of word-of-mouth, knowledge, and promotions on purchase intention of medical cosmetics. The International Journal of Organizational Innovation, 6(3), 96–105.
34.
LiJ., & ZhanL. (2011). Online persuasion: How the written word drives WOM. Journal of Advertising Research, 51(1), 239–257.
35.
LinT.M.Y., LuKuan-Yi, & WuJia-Jhou. (2012). The effects of visual information in eWOM communication. Journal of Research in Interactive Marketing, 6(1), 7–26.
36.
LiuY. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74–89.
37.
LovettM.J., PeresR., & ShacharR. (2013). On brands and word of mouth. Journal of Marketing Research, 50(4), 427–444.
38.
MaheshwariR. (2016). Indian ecommerce market to grow fastest globally over 3 years: Morgan Stanley. Retrieved 20May2016, from http://economictimes.indiatimes.com/industry/services/retail/indian-ecommerce-market-to-grow-fastest-globally-over-3-years-morgan-stanley/articleshow/51031652.cms
39.
Marketingbuzzar. (2015). Tracing word of mouth marketing origins in India. Retrieved 8January2016, from http://marketingbuzzar.com/2015/11/tracing-word-of-mouth-marketing-origins-in-india/
40.
PandaR., & NarayanS.B. (2013). Online shopping: An exploratory study to identify the determinants of shopper buying behaviour. International Journal of Business Insights & Transformation, 7(1), 52–59.
41.
PapathanassisA., & KnolleF. (2011). Exploring the adoption and processing of online holiday reviews: A grounded theory approach. Tourism Management, 32(2), 215–224.
42.
ParkDo-Hyung, & KimS. (2009). 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.
43.
PettyR.E., & CacioppoJ.T. (1986). The elaboration likelihood model of persuasion. New York: Springer.
44.
PwC. (2012). The Indian kaleidoscope—Emerging trends in retail. Retrieved 8January2016, from https://www.pwc.in/assets/pdfs/industries/retail-and-consumer/retail-report-300812.pdf
45.
RNCOS. (2012). Indian online retail market analysis. Retrieved 8January2016, from http://www.rncos.com/Market-Analysis-Reports/Indian-Online-Retail-Market-Analysis-IM421.htm
46.
ShiM., & WojnickiA.C. (2014). Money talks… to online opinion leaders. Journal of Advertising Research, 54(1), 81–91.
47.
SilvermanG. (2005). Word of Mouth: The Oldest, Newest Marketing Medium. In Marketing Communication: New Approaches, Technologies, and Styles, edited by KimmelA. J. (pp. 193–209). Oxford: Oxford University Press.
48.
SonnierG.P., McAlisterL., & RutzO.J. (2011). A dynamic model of the effect of online communications on firm sales. Marketing Science, 30(4), 702–716.
49.
StephenA.T. (2016). The role of digital and social media marketing in consumer behavior. Current Opinion in Psychology, 10(October), 17–21.
50.
SundaramD.S., & WebsterC. (1999). The role of brand familiarity on the impact of word-of-mouth communication on brand evaluations. Advances in Consumer Research, 26(1), 664–670.
51.
SundaramD.S., MitraK., & WebsterC. (1998). Word-of-mouth communications: A motivational analysis. Advances in Consumer Research, 25(1), 527–531.
52.
TangT., FangE., & WangF. (2014). Is neutral really neutral? The effects of neutral user-generated content on product sales. Journal of Marketing, 78(4), 41–58.
53.
VieraA.J., & GarrettJ.M. (2005). Understanding interobserver agreement: The kappa statistic. Family Medicine, 37(5), 360–363.
54.
VillaricaH. (2012). Study of the day: Confirmation bias shapes how we read online. Retrieved 20May2016, from http://www.theatlantic.com/health/archive/2012/01/study-of-the-day-confirmation-bias-shapes-how-we-read-online/250686/
55.
YinD., MitraS., & ZhangH. (2016). Research note—When do consumers value positive vs. negative reviews? An empirical investigation of confirmation bias in online word of mouth. Information Systems Research, 27(1), 131–144.
56.
YoccoV. (2014). Persuasion: Applying the elaboration likelihood model to design. Retrieved 4June2016, from http://alistapart.com/article/persuasion-applying-the-elaboration-likelihood-model-to-design
57.
ZhangJ.Q., CraciunG., & ShinD. (2010). When does electronic word-of-mouth matter? A study of consumer product reviews. Journal of Business Research, 63(12), 1336–1341.
58.
ZhuF., & ZhangX. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133–148.
