The effect of product review balance and volume on online Shoppers' risk perception and purchase intention

Online reviews are viewed as an important source of information enabling online shoppers to assess the quality of products/services. An important function of reviews is to reduce the risk and uncertainty that online buyers perceive relating to the product purchase. There are many aspects of reviews that may influence risk perception. This study examines the effect of social consensus in product reviews, represented by review balance and volume, on online shoppers' risk perception, uncertainty, attitude and subsequent purchase intention, using a quasi-experimental design and online questionnaires. Results show that the four proposed risk concerns are good predictors of online shoppers' overall risk in e-commerce; perceived risk is a major determinant of online shoppers' attitude toward purchasing, which in turn determines their purchase intention. However, no significant causal effect between perceived uncertainty and purchase intention was found. Our study validates some findings in econometric studies pertaining to review balance and volume, with some differences regarding the effects of review volume.Our study enriches researchers' understanding of risk perception and uncertainty in e-commerce.Our study reveals that the relationship between perceived uncertainty and purchase intention becomes insignificant in the presence of attitude toward purchasing.Our study explains the success of the strategy of having manipulated reviews.

[1]  George Christodoulides,et al.  Antecedents of attitude and intention towards counterfeit symbolic and experiential products , 2011 .

[2]  Chuan-Hoo Tan,et al.  Helpfulness of Online Product Reviews as Seen by Consumers: Source and Content Features , 2013, Int. J. Electron. Commer..

[3]  Patrick De Pelsmacker,et al.  Balance and Sequence in Online Reviews: The Wrap Effect , 2012, Int. J. Electron. Commer..

[4]  Claudio Aqueveque Extrinsic cues and perceived risk: the influence of consumption situation , 2006 .

[5]  Steven Walczak,et al.  Dressing Your Online Auction Business for Success: An Experiment Comparing Two eBay Businesses , 2008, MIS Q..

[6]  Ingoo Han,et al.  The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement , 2007, Int. J. Electron. Commer..

[7]  Michel Laroche,et al.  How do involvement and product knowledge affect the relationship between intangibility and perceived risk for brands and product categories , 2010 .

[8]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[9]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[10]  Ingoo Han,et al.  The effect of negative online consumer reviews on product attitude: An information processing view , 2008, Electron. Commer. Res. Appl..

[11]  C. Ok,et al.  The Effects of Consumers' Perceived Risk and Benefit on Attitude and Behavioral Intention: A Study of Street Food , 2013 .

[12]  Mauricio Featherman,et al.  The intangibility of e-services: effects on perceived risk and acceptance , 2010, DATB.

[13]  S. Yantis,et al.  Amount of information about the attitude object and attitude-behavior consistency. , 1985, Journal of personality and social psychology.

[14]  Lorin M. Hitt,et al.  Self Selection and Information Role of Online Product Reviews , 2007, Inf. Syst. Res..

[15]  Ming-Chi Lee,et al.  Predicting and explaining the adoption of online trading: An empirical study in Taiwan , 2009, Decis. Support Syst..

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

[17]  M. Laroche,et al.  Internet versus Bricks-and-Mortar Retailers: An Investigation into Intangibility and Its Consequences , 2005 .

[18]  Robert W. Zmud,et al.  Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Factors, and Organizational Climate , 2005, MIS Q..

[19]  Ling Liu,et al.  Do online reviews affect product sales? The role of reviewer characteristics and temporal effects , 2008, Inf. Technol. Manag..

[20]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[21]  Angelika Dimoka,et al.  The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation , 2006, Inf. Syst. Res..

[22]  Panagiotis G. Ipeirotis,et al.  Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics , 2010, IEEE Transactions on Knowledge and Data Engineering.

[23]  Dhruv Grewal,et al.  The Effect of Store Name, Brand Name and Price Discounts on Consumers' Evaluations and Purchase Intentions , 1998 .

[24]  Nathalia Purnawirawan,et al.  Balance and Sequence in Online Reviews: How Perceived Usefulness Affects Attitudes and Intentions , 2012 .

[25]  Samuel D. Bond,et al.  Why Is the Crowd Divided? Attribution for Dispersion in Online Word of Mouth , 2015 .

[26]  Stephen Shaoyi Liao,et al.  Mining comparative opinions from customer reviews for Competitive Intelligence , 2011, Decis. Support Syst..

[27]  Paul A. Pavlou,et al.  Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective , 2007, MIS Q..

[28]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

[29]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

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

[31]  Lily Shui-Lien Chen,et al.  The impact of perceived risk, intangibility and consumer characteristics on online game playing , 2010, Comput. Hum. Behav..

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

[33]  Arik Ragowsky,et al.  Establishing Trust in Electronic Commerce Through Online Word of Mouth: An Examination Across Genders , 2008, J. Manag. Inf. Syst..

[34]  Nan Hu,et al.  Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales , 2014, Decis. Support Syst..

[35]  R. Petty,et al.  Attitude strength : antecedents and consequences , 1995 .

[36]  Subhash Sharma,et al.  Effects of online communication practices on consumer perceptions of performance uncertainty for search and experience goods , 2007 .

[37]  Zhangxi Lin,et al.  Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach , 2013, Decis. Support Syst..

[38]  Hila Etzion,et al.  Pump up the Volume? Examining The Relationship Between Number of Online Reviews and Sales: Is More Necessarily Better? , 2007, ICIS.

[39]  H. Raghav Rao,et al.  Consumer-perceived risk in e-commerce transactions , 2003, CACM.

[40]  Anindya Ghose,et al.  Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets , 2008, Inf. Syst. Res..

[41]  Scott B. MacKenzie,et al.  Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques , 2011, MIS Q..