Busting Myths of Electronic Word of Mouth: The Relationship between Customer Ratings and the Sales of Mobile Applications

Business and academic research frequently highlights the power of electronic word of mouth, relying on the knowledge that online customer ratings and reviews influence consumer decision making. Numerous studies in different disciplines have been conducted to examine the effectiveness of electronic word of mouth communication. Previously, typically small sample studies suggest that positive electronic word of mouth increases sales and that the effects depend on the volume and valence of reviews and ratings. This study's contribution lies in testing the relationship between electronic word of mouth and the sales of applications in a mobile application ecosystem (Google Play) with an extensive dataset (over 260 million customer ratings; 18 months). The results show that higher values of valence of customer ratings correlate statistically significantly with higher sales. The volume of ratings correlates positively with sales in the long term but negatively in the short term. Furthermore, the relationship between electronic word of mouth and sales seems to be more important when the price of the application increases. The findings also underline the importance of the choice of a measurement period in studies.

[1]  Bodo Lang,et al.  Word of Mouth: What We Know and What We Have Yet to Learn , 2013 .

[2]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[3]  Jonah Berger,et al.  Positive Effects of Negative Publicity: When Negative Reviews Increase Sales , 2009, Mark. Sci..

[4]  Chrysanthos Dellarocas,et al.  The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback Mechanisms , 2003, Manag. Sci..

[5]  B. Gu,et al.  The impact of online user reviews on hotel room sales , 2009 .

[6]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[7]  Syed Shah Alam,et al.  What factors influence online brand trust: evidence from online tickets buyers in Malaysia , 2010, J. Theor. Appl. Electron. Commer. Res..

[8]  Carlos Castillo,et al.  Effective web crawling , 2005, SIGF.

[9]  Geng Cui,et al.  Terms of Use , 2003 .

[10]  宋滟泓 App Store开人民币付款先河 苹果中国本土化路上问题多 , 2011 .

[11]  P. D. Maeyer,et al.  Impact of online consumer reviews on sales and price strategies: a review and directions for future research , 2012 .

[12]  Chrysanthos Dellarocas,et al.  Exploring the value of online product reviews in forecasting sales: The case of motion pictures , 2007 .

[13]  Hiroaki Kimura,et al.  Activity-Based Micro-pricing: Realizing Sustainable Behavior Changes through Economic Incentives , 2010, PERSUASIVE.

[14]  X. Zhang,et al.  Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics , 2010 .

[15]  Eric W.T. Ngai,et al.  Conceptualising electronic word of mouth activity: An input‐process‐output perspective , 2011 .

[16]  Cheol Park,et al.  Information direction, website reputation and eWOM effect: A moderating role of product type , 2009 .

[17]  Yong Tan,et al.  The Economic Role of Rating Behavior in Third-Party Application Market , 2011, ICIS.

[18]  E. Clemons,et al.  When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry , 2006 .

[19]  Pradeep Chintagunta,et al.  The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets , 2010, Mark. Sci..

[20]  Vijay Mahajan,et al.  The Economic Leverage of the Virtual Community , 2001, Int. J. Electron. Commer..

[21]  Andrew J. Czaplewski,et al.  eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty , 2006 .

[22]  Eric K. Clemons,et al.  When Online Reviews Meet Hyperdifferentiation: A Study of Craft Beer Industry , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[23]  Octavian Carare,et al.  The Impact of Bestseller Rank on Demand: Evidence from the App Market , 2011 .

[24]  Matthew K. O. Lee,et al.  What drives consumers to spread electronic word of mouth in online consumer-opinion platforms , 2012, Decis. Support Syst..

[25]  Huaping Chen,et al.  Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations , 2009, Int. J. Electron. Commer..

[26]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[27]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[28]  Tung Bui,et al.  Harnessing the Influence of Social Proof in Online Shopping: The Effect of Electronic Word of Mouth on Sales of Digital Microproducts , 2011, Int. J. Electron. Commer..

[29]  Tevfik Dalgic,et al.  Niche Marketing Revisited: Concept, Applications and Some European Cases , 1994 .

[30]  David A. Wagner,et al.  Do Android users write about electric sheep? Examining consumer reviews in Google Play , 2013, 2013 IEEE 10th Consumer Communications and Networking Conference (CCNC).

[31]  Marc Najork,et al.  Web Crawling , 2010, Found. Trends Inf. Retr..

[32]  Jan P.L. Schoormans,et al.  The pattern of development and diffusion of breakthrough communication technologies , 2004 .

[33]  Bin Gu,et al.  Do online reviews matter? - An empirical investigation of panel data , 2008, Decis. Support Syst..

[34]  Deidra A. Colvin Effect of social media as measured by the dispersion of electronic word-of-mouth on the sales success of experience goods: An empirical study of Kindle book sales , 2013 .

[35]  Yong Tan,et al.  The Economic Value of Ratings in App Market , 2011 .

[36]  Thomas Hess,et al.  The Advertising Effect of Free -- Do Free Basic Versions Promote Premium Versions within the Freemium Business Model of Music Services? , 2013, 2013 46th Hawaii International Conference on System Sciences.

[37]  Félix Cuadrado,et al.  Mobile application stores: success factors, existing approaches, and future developments , 2012, IEEE Commun. Mag..

[38]  W. Marsden I and J , 2012 .

[39]  Yong Liu Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .

[40]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[41]  Guanling Chen,et al.  AppJoy: personalized mobile application discovery , 2011, MobiSys '11.

[42]  I. Vermeulen,et al.  Tried and tested: The impact of online hotel reviews on consumer consideration , 2009 .

[43]  Hoon Seok Choi,et al.  An Empirical Study of the Freemium Strategy for Mobile Apps: Evidence from the Google Play Market , 2012, ICIS.

[44]  Meihua Zhou,et al.  Study on Effect of eWOM: A Literature Review and Suggestions for Future Research , 2010, 2010 International Conference on Management and Service Science.

[45]  Jae-Nam Lee,et al.  The long tail or the short tail: The category-specific impact of eWOM on sales distribution , 2011, Decis. Support Syst..

[46]  Xiaoquan Zhang,et al.  Tapping into the pulse of the market : essays on marketing implications of information flows , 2006 .

[47]  Baolong Ma,et al.  The impact of online user reviews on cameras sales , 2013 .

[48]  Timo Knuutila,et al.  App Store, Marketplace, Play! An Analysis of Multi-Homing in Mobile Software Ecosystems , 2012, IWSECO@ICSOB.

[49]  Robert M. Schindler,et al.  Internet forums as influential sources of consumer information , 2001 .

[50]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[51]  Xiaozhong Liu,et al.  Predicting popularity of online distributed applications: iTunes app store case analysis , 2011, iConference.

[52]  Monic Sun,et al.  How Does the Variance of Product Ratings Matter? , 2010, Manag. Sci..

[53]  Faheem Ahmed,et al.  An Assessment of Mobile OS-Centric Ecosystems , 2011, J. Theor. Appl. Electron. Commer. Res..

[54]  Dimple R. Thadani,et al.  The impact of electronic word-of-mouth communication: A literature analysis and integrative model , 2012, Decis. Support Syst..

[55]  Pei-Yu Sharon Chen,et al.  The Impact of Online Recommendations and Consumer Feedback on Sales , 2004, ICIS.

[56]  Paul A. Pavlou,et al.  Overcoming the J-shaped distribution of product reviews , 2009, CACM.