2018SSRN Electronic JournalOpen access

When Do Buyer Protection Mechanisms Help Low-Reputation Sellers? --- The Strategic Interaction between Buyer Protection Mechanism and Reputation Systems

Nan Li, Juan Feng, Bin Gu

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Abstract

Online reputation systems are critical in reducing information asymmetry in online market places. How will the introduction of buyer protection program, such as guaranteed return, third-party escrow services and credit card protections, influence the effect of online reputation on seller competition? Does it benefit more those low-reputation sellers than high-reputation sellers, since consumers are more assured buying from the low-reputation sellers? Does such mechanism help promote a more competitive market among sellers with different reputation levels? We first develop a theoretical model to study the joint effect of online reputation systems and buyer-protection mechanisms, where products are characterized by both different quality levels (vertical differentiation) and misfit cost (horizontal differentiation). Surprisingly, we find that such mechanisms are effective only in a market with forward looking sellers who maximize long-term profits. When sellers are myopic, such mechanisms benefit the low-reputation sellers only in a short term, and can be detrimental in the long term when the high-reputation seller responds to the introduction of such mechanisms by adjusting their pricing strategies. As a result, consumers rely more on reputation systems, and the online market can be more unevenly distributed in the long run in the sense that high-reputation sellers occupies a larger market share. Using a dataset from one of the largest online B2C markets in China, we also empirically evaluate these theoretical predictions.

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Online reputation systems are critical in reducing information asymmetry in online market places. How will the introduction of buyer protection program, such as guaranteed return, third-party escrow services and credit card protections, influence the effect of online reputation on seller competition? Does it benefit more those low-reputation sellers than high-reputation sellers, since consumers are more assured buying from the low-reputation sellers? Does such mechanism help promote a more competitive market among sellers with different reputation levels? We first develop a theoretical model to study the joint effect of online reputation systems and buyer-protection mechanisms, where products are characterized by both different quality levels (vertical differentiation) and misfit cost (horizontal differentiation). Surprisingly, we find that such mechanisms are effective only in a market with forward looking sellers who maximize long-term profits. When sellers are myopic, such mechanisms benefit the low-reputation sellers only in a short term, and can be detrimental in the long term when the high-reputation seller responds to the introduction of such mechanisms by adjusting their pricing strategies. As a result, consumers rely more on reputation systems, and the online market can be more unevenly distributed in the long run in the sense that high-reputation sellers occupies a larger market share. Using a dataset from one of the largest online B2C markets in China, we also empirically evaluate these theoretical predictions.

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Available abstract

Online reputation systems are critical in reducing information asymmetry in online market places. How will the introduction of buyer protection program, such as guaranteed return, third-party escrow services and credit card protections, influence the effect of online reputation on seller competition? Does it benefit more those low-reputation sellers than high-reputation sellers, since consumers are more assured buying from the low-reputation sellers? Does such mechanism help promote a more competitive market among sellers with different reputation levels? We first develop a theoretical model to study the joint effect of online reputation systems and buyer-protection mechanisms, where products are characterized by both different quality levels (vertical differentiation) and misfit cost (horizontal differentiation). Surprisingly, we find that such mechanisms are effective only in a market with forward looking sellers who maximize long-term profits. When sellers are myopic, such mechanisms benefit the low-reputation sellers only in a short term, and can be detrimental in the long term when the high-reputation seller responds to the introduction of such mechanisms by adjusting their pricing strategies. As a result, consumers rely more on reputation systems, and the online market can be more unevenly distributed in the long run in the sense that high-reputation sellers occupies a larger market share. Using a dataset from one of the largest online B2C markets in China, we also empirically evaluate these theoretical predictions.

Key concepts: Reputation, Business, Reputation system, Information asymmetry, Competition (biology), Quality (philosophy), Industrial organization, Microeconomics

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