Identifying Influencing Factors for Data Transactions:A Case Study from Shanghai Data Exchange  

作　　者：Qifeng Tang Zhiqing Shao Lihua Huang Wenyi Yin Yifan Dou 

机构地区：[1]Department of Computer Science and Engineering,East China University of Science and Technology,Shanghai 200237,China [2]Shanghai Data Exchange Corporation,Shanghai 200436,China [3]School of Management,Fudan University,Shanghai 200433,China

出　　处：《Journal of Systems Science and Systems Engineering》2020年第6期697-708,共12页系统科学与系统工程学报（英文版）

基　　金：the National Natural Science Foundation of China(NSFC)under Grants 71672042,71822201,91746302。

摘　　要：In the age of artificial intelligence,firms'internal data are increasingly valuable when merged with each other for inter-firm analysis and predictions.However,the inter-firm data transactions represent a novel challenge on pricing due to the complex nature of data,such as quality information asymmetry,lack of pricing standards,and the negligible marginal cost.This paper conducts a case study at Shanghai Data Exchange to explore the factors that can facilitate the data transactions between buyers and providers.We use interview transcripts from 18 participating firms to construct our three theoretical dimensions:increasing the perceived value,mitigating the cost,and improving the market design.We then browse through 18 factors to assess their value for further improvements.The managerial implications are also discussed.

关 键 词：Big data two-sided market pricing information goods case study 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]