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Information Asymmetry as a Computable Listing Metric: A Composite Disclosure Index That Predicts Actual Cross-Border E-Commerce Sales
编号：58 访问权限：仅限参会人 更新：2026-11-10 16:33:51 浏览：10次 Online

报告开始：2026年11月21日 16:15（Asia/Kolkata）

报告时间：15min

所在会场：[S5] Data Science and Intelligent Analytics [S5-3] Data Science and Intelligent Analytics

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摘要
Information asymmetry is the defining friction of cross-border e-commerce (CBEC), yet it is measured almost exclusively through buyer surveys, and the few studies that use actual sales test individual listing cues in-sample. Whether or not one single, directly measurable variable can be used to predict sales of the other, unobserved listings is unknown. This paper builds a Composite Asymmetry Index (CAI) based on seller-controlled disclosures in three aspects: product information, seller credibility, and transaction assurance. The index is validated using the monthly sales of an openly licensed dataset of 2,141 Tmall Global products, by applying heteroskedasticity-consistent regression, ten-fold cross-validation repeated ten times with a resampling-corrected test, and five different weighting and aggregation schemes. The impact of a 1 standard deviation change in the CAI is roughly a 19% decrease in monthly sales, in addition to the price and discount benchmarks and social-proof benchmarks. The index reduces out-of-sample error in 93 of 100 folds, and is as accurate as the four separate cues with three fewer parameters, with a BIC difference of 18.4 points. There is no discernible difference between the sales penalty for experience goods and search goods. The CAI provides a survey-free, auditable, and metricized listing of data for platform analytics.
关键词
Composite indicator,Cross-border e-commerce,Data-driven analytics,Information asymmetry,Predictive validity,Signaling theory
报告人
Kannirajalingam T
Assistant Professor PERI College of Arts and Science

稿件作者
Kannirajalingam T PERI College of Arts and Science
Selvalakshmi N Thiagarajar College
Chelladurai C Virudhunagar Hindu Nadars' Senthikumara Nadar College
Kanagavel N Virudhunagar Hindu Nadars' Senthikumara Nadar College
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重要日期

  • 会议日期

    11月20日

    2026

    至

    11月22日

    2026

  • 10月31日 2026

    初稿截稿日期

  • 11月07日 2026

    提前注册日期

  • 11月22日 2026

    注册截止日期

主办单位
United Societies of Science
承办单位
Pondicherry University
协办单位
IEEE Section
IEEE Madras Section
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