TY - JOUR
T1 - One Size Fits All? The Differential Impact of Online Reviews and Coupons
AU - Ba, Sulin
AU - Jin, Yuan
AU - Li, Xinxin
AU - Lu, Xianghua
N1 - Funding Information:
The authors thank the Department Editor Cheryl Gaimon, the Senior Editor, and the three anonymous reviewers for their thoughtful reviews and constructive suggestions during the review process. The authors also acknowledge the support of the National Natural Science Foundation of China (Project 71872050, 91746302, 71229101). 1
Publisher Copyright:
© 2020 Production and Operations Management Society
PY - 2020/6
Y1 - 2020/6
N2 - Using a unique dataset that includes individually identifiable consumer online browsing and purchase data in the restaurant industry, this paper examines how individual consumer shopping characteristics and product characteristics moderate the effect of online reviews on individual consumer choice based on information search theory and signaling theory. We find that different dimensions of reviews have distinctive impacts on consumers with different information search needs and behaviors based on their shopping experience, inertia tendency and proneness to coupon promotions. Online reviews also influence consumers’ purchase decisions differently depending on the available information and signals indicated by the product’s ongoing coupon promotions and other signaling characteristics such as the overall price level. Specifically, the valence of reviews primarily affects the consumers who have more shopping experience, who demonstrate less inertia, or who are less prone to coupons, whereas the volume of reviews more significantly affects the highly coupon prone consumers or consumers with high inertia tendency. When the product is of low price or the seller offers a coupon for the product, the number of reviews plays a more important role in affecting consumers’ decision. This research not only enriches the online review literature by highlighting the differential effects of online reviews but also offers practical guidelines to sellers and platforms that wish to use online reviews together with coupon promotions to stimulate sales. Our research also highlights how companies can take advantage of the powerful combination of consumers’ shopping behavior data with online review browsing data to design timely and innovative marketing activities.
AB - Using a unique dataset that includes individually identifiable consumer online browsing and purchase data in the restaurant industry, this paper examines how individual consumer shopping characteristics and product characteristics moderate the effect of online reviews on individual consumer choice based on information search theory and signaling theory. We find that different dimensions of reviews have distinctive impacts on consumers with different information search needs and behaviors based on their shopping experience, inertia tendency and proneness to coupon promotions. Online reviews also influence consumers’ purchase decisions differently depending on the available information and signals indicated by the product’s ongoing coupon promotions and other signaling characteristics such as the overall price level. Specifically, the valence of reviews primarily affects the consumers who have more shopping experience, who demonstrate less inertia, or who are less prone to coupons, whereas the volume of reviews more significantly affects the highly coupon prone consumers or consumers with high inertia tendency. When the product is of low price or the seller offers a coupon for the product, the number of reviews plays a more important role in affecting consumers’ decision. This research not only enriches the online review literature by highlighting the differential effects of online reviews but also offers practical guidelines to sellers and platforms that wish to use online reviews together with coupon promotions to stimulate sales. Our research also highlights how companies can take advantage of the powerful combination of consumers’ shopping behavior data with online review browsing data to design timely and innovative marketing activities.
U2 - 10.1111/poms.13233
DO - 10.1111/poms.13233
M3 - Article
AN - SCOPUS:85088253830
SP - 2403
EP - 2424
JO - Production & Operations Management Journal
JF - Production & Operations Management Journal
ER -