TY - GEN
T1 - Can Platform Competition Drive Ratings Inflation? The Impact of Vertical Spillover Effects
AU - Vorotyntseva, Yulia
AU - Aaltonen, Aleksi
AU - Kumar, Subodha
AU - Pavlou, Paul A.
N1 - Publisher Copyright:
© 2022 International Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation". All Rights Reserved.
PY - 2022
Y1 - 2022
N2 - The familiar 5-star ratings system is an important information source for consumers deciding where to eat or what products to buy. Ideally, a retail platform owner should safeguard ratings against various biases, yet platform owners sometimes let average ratings become inflated. We study a situation in which a platform faces competition from another platform that offers the same items and, consequently, consumers may see different ratings for items across the platforms. Using a series of experiments in an online food ordering setting, we show that consumers are more likely to buy the item from a platform where it is rated higher. Therefore, a platform that offers lower but perhaps more accurate ratings risks hurting itself by not letting its ratings become inflated. We explain this by a vertical spillover effect by which diverging average ratings across platforms influence platform choice and discuss implications to platform owners, regulators, and consumers.
AB - The familiar 5-star ratings system is an important information source for consumers deciding where to eat or what products to buy. Ideally, a retail platform owner should safeguard ratings against various biases, yet platform owners sometimes let average ratings become inflated. We study a situation in which a platform faces competition from another platform that offers the same items and, consequently, consumers may see different ratings for items across the platforms. Using a series of experiments in an online food ordering setting, we show that consumers are more likely to buy the item from a platform where it is rated higher. Therefore, a platform that offers lower but perhaps more accurate ratings risks hurting itself by not letting its ratings become inflated. We explain this by a vertical spillover effect by which diverging average ratings across platforms influence platform choice and discuss implications to platform owners, regulators, and consumers.
KW - Experiment
KW - food ordering
KW - online ratings
KW - platform competition
KW - ratings inflation
KW - spillover effect
UR - http://www.scopus.com/inward/record.url?scp=85192572334&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85192572334&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85192572334
T3 - International Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation"
BT - International Conference on Information Systems, ICIS 2022
T2 - 43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022
Y2 - 9 December 2022 through 14 December 2022
ER -