中文字幕 日韩 人妻 无码_亚洲无码电影_亚洲精品成人网站在线观看_久久99精品国产99久久6不卡,午夜亚洲国产理论片二级港台二级_黑人强伦姧人妻日韩HD_国产精品资源在线一区_大胸好大被揉捏好爽在线观看免费_全免费观看中文字幕三级_久久精品国产亚洲av瑜伽_亚洲中文字幕欧美岛国_又爽又黄无遮挡免费视频黄_国产成人高清在线播放_日韩一区中文无码 ,国产精品无码一级免费看A级毛激情_国产精品无码一区免费看_日韩亚洲av人人夜夜澡人人爽_亚洲最新av片不卡无码久久_中文字幕人妻第一区_国产欧美综合在线观看_天天av天天爽无码中文_中文字幕久久久久久久免费蜜桃麻豆_91中文字幕午夜福利亚洲天堂成人国产三级_欧美亚洲精品一级毛淫片_国产在线视频一区二区高清乱码99

題目： Is investment in data analytics always profitable? The case of third-party-online-promotion marketplace

主講人：王鵬，西安電子科技大學(xué)

時間：2021年3月26日（周五）14：00-16：00

地點：管院313會議室

Abstract:

Studies show that merchants are heterogenous in profitability from offering promotions on third-party-online-promotion marketplaces who often charge a single commission rate. Using a data analytics system, a marketplace can classify merchants according to their heterogeneous characteristics and offer merchant-type specific commission rates. In this paper, we construct a game-theoretic model consisting a marketplace with two types of merchants who have heterogeneous proportion of consumers who are informed about their offering. The types are merchants’ private information, but the marketplace can invest in data analytics capability to classify merchants as per their types with a probability. We study a signal-based strategy, where the marketplace invests in data analytics capability and offers a specific commission rate to individual merchant based on the merchant-type classification and compare it with a single-rate strategy of offering one commission rate to all merchants. We show that the relative strength and weakness of the signal-based strategy depend on the merchant type distribution and the investment cost of improving the classification accuracy rate. Interestingly, the marketplace can be better off with the single-rate strategy when a merchant type dominates the market. Moreover, we show that the signal-based strategy, can lead to an increase in profit for merchants and an increase in consumer surplus. This is so because the marketplace’s signal-based strategy has a cascade effect on consumers through the merchant’s optimal discount rate strategy. We conclude by identifying the conditions for a win-win-win situation wherein investment in data analytics capabilities by the marketplace also benefits merchants and consumers.

個人簡介:

王鵬，西安電子科技大學(xué)管理科學(xué)與工程專業(yè)在讀博士生，預(yù)計2021年6月畢業(yè)。主要研究方向為信息系統(tǒng)經(jīng)濟學(xué)與電商平臺運營管理，已在 Production and Operations Management, Electronic Commerce Research and Applications, Journal of Systems Science and Systems Engineering 上發(fā)表論文。