Abstract
Online ratings impose significant effects on the behaviors of potential customers. Thus, online merchants try to adopt strategies that affect this rating behavior, and most of these strategies are connected to money, such as the strategies of returning cash coupons if a consumer gives a five-star rating (RI strategy, an acronym for “returning” and “if”) or returning cash coupons directly with no additional requirements (RN strategy, an acronym for “returning” and “no”). The current study explored whether a certain strategy (RN or RI) was more likely to give rise to false rating behaviors, as assessed by event-related potentials. A two-stimulus paradigm was used in this experiment. The first stimulus (S1) was the picture of a product with four Chinese characters that reflected the product quality (slightly defective vs. seriously defective vs. not defective), and the second stimulus (S2) displayed the coupon strategy (RN or RI). The participants were asked to decide whether or not to give a five-star rating. The behavioral results showed that the RI strategy led to a higher rate of five-star ratings than the RN strategy. For the electrophysiological time courses, the N1, N2, and LPP components were evaluated. The slightly defective products elicited a larger amplitude of the N1 component than the seriously defective and not-defective products, reflecting that perceptual difficulty was associated with the processing of the slightly defective products. The RI strategy evoked a less negative N2 and a more positive LPP than the RN strategy, indicating that the subjects perceived less conflict and experienced stronger incentives when processing the RI strategy. These findings will benefit future studies of fake online comments and provide evidence supporting the policy of forbidding the use of the RI strategy in e-commerce.
Highlights
Online customer reviews are often thought of as electronic word of mouth, which can help consumers simplify their search process and more determine product quality and fit uncertainty (Yin et al, 2014)
An ANOVA for the mean N2 amplitude in the 270–370 ms time window was conducted and revealed a significant effect of the coupon strategy factor [F(2, 36) = 6.132, p < 0.05, η2 = 0.254], and the N2 amplitude elicited by the RN strategy (M =0.558, S.E. = 0.669) was more negative than that elicited by the RI strategy (M = 1.378, S.E. = 0.605)
We investigated both how coupon strategies affect the fake rating behaviors of online customers and the temporal dynamics of the neural activity that are associated with different marketing strategies
Summary
Online customer reviews are often thought of as electronic word of mouth (eWOM), which can help consumers simplify their search process and more determine product quality and fit uncertainty (Yin et al, 2014). Some online sellers even return money or coupons directly if buyers give a fivestar rating (RI strategy, RI is an acronym of “returning” and “if ”), a practice that is ostensibly forbidden to be published on an online website by many e-commerce platforms (e.g., Taobao in China). Poddar et al (2017) investigated the online rating bias that is elicited by false advertising and slander and mined big data to develop a method to measure online rating bias These studies mainly used machine learning methods and focused on how to improve accuracy in identifying fake comments. From the perspective of consumer behavior, little is known about how the marketing strategies that are adopted by online merchants affect fake rating behavior in e-commerce and why online merchants adopt these illegal strategies
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