喻园管理论坛2021年第107期(总第764期)

演讲主题: Achieving a Balance between Privacy Protection and Data Collection: A Field Experimental Examination of a Theory-Driven IT Solution

主 讲 人: 刘百灵，华中师范大学信息管理学院副教授

主 持 人: 赵学锋，管理学院管理科学与信息管理系主任、教授

活动时间: 2021年12月23日（周四）15:00-17:00

活动地点: 管理大楼119室

主讲人简介：

刘百灵，华中师范大学信息管理学院副教授，2010年毕业于华中科技大学计算机学院。主要研究方向：信息系统，信息隐私保护，移动电子商务，主要采用技术与管理相融合的研究思想。主持国家基金项目3项，国家自然科学基金青年项目、面上项目，国家社会科学基金一般项目。论文发表于《Information Systems Research》、《Computers & Security》、《International Journal of Electronic Commerce》、《中国管理科学》等国内外重要期刊。

活动简介：

Companies face a tradeoff between creating stronger privacy protection policies for consumers and employing more sophisticated data collection methods. Justice-driven privacy protection outlines a method to manage this tradeoff.We built on the theoretical lens of justice theory to integrate justice provision with key privacy protection features and conceptualize the extent to which these features affect privacy concerns and information disclosure behavior. Notably, we proposed an ITsolution to balance the tradeoff between privacy protection and consumer data collection. In the context of mobile banking applications, we prototyped a theory-driven IT solution, referred to asnegotiation,active-recommendation privacy policy application,which enables customerservice agentsto interact with and actively recommend personalized privacy policies to consumers. We benchmarkedour solution through a field experiment relative to two conventional applications: anon-negotiation privacy policy application(only a non-negotiable privacy statement is posted) as a base method and anegotiation,non-active-recommendation privacy policy application(only a negotiation feature is integrated with the privacy policy). The results showed that the proposednegotiation,active-recommendation privacy policy applicationdecreased privacy concerns and increased consumers’ information disclosure intentions and actual disclosure behavior. A post-hoc analysis corroborated these findings, indicating thatour design enhancedperceived proceduraljustice, interactional justice, and distributive justice among consumersandmade them feel comfortable to disclose their personal information. Likewise, companies would be able to collect additional personal information from consumers, thereby contributing to a privacy-friendly environment.