Enhancing consumer perceptions of privacy and trust: a GDPR label perspective

被引:19
作者
Fox, Grace [1 ]
Lynn, Theo [2 ]
Rosati, Pierangelo [2 ]
机构
[1] Dublin City Univ, Irish Inst Digital Business, Dublin, Ireland
[2] Dublin City Univ, Sch Business, Dublin, Ireland
关键词
Privacy policies; Communication privacy management; Perceived privacy; GDPR; INFORMATION PRIVACY; INTERNET PRIVACY; E-COMMERCE; ONLINE; MODEL; PERSONALIZATION; TRUSTWORTHINESS; TRANSPARENCY; INTENTION; ANALYTICS;
D O I
10.1108/ITP-09-2021-0706
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose The General Data Protection Regulation (GDPR) introduces significant data protection obligations on all organizations within the European Union (EU) and those transacting with EU citizens. This paper presents the GDPR privacy label and uses two empirical studies to examine the effectiveness of this approach in influencing consumers' privacy perceptions and related behavioral intentions. Design/methodology/approach The paper tests the efficacy of two GDPR privacy label designs, a consent-based label and a static label. Study 1 examines the effects of each label on perceptions of risk, control and privacy. Study 2 investigates the influence of consumers' privacy perceptions on perceived trustworthiness and willingness to interact with the organization. Findings The findings support the potential of GDPR privacy labels for positively influencing perceptions of risk, control, privacy and trustworthiness and enhancing consumers' willingness to transact and disclose data to online organizations. Practical implications The findings are useful for organizations required to comply with the GDPR and present a solution to requirements for transparent communications and explicit consent. Originality/value This study examines and demonstrates the efficacy of visualized privacy policies in impacting consumer privacy perceptions and behavioral intentions.
引用
收藏
页码:181 / 204
页数:24
相关论文
共 73 条
[21]  
GASKIN J., 2012, Confirmatory Factor Analysis (CFA)
[22]   Trust and TAM in online shopping: An integrated model [J].
Gefen, D ;
Karahanna, E ;
Straub, DW .
MIS QUARTERLY, 2003, 27 (01) :51-90
[23]   A research agenda for trust in online environments [J].
Gefen, David ;
Benbasat, Izak ;
Pavlou, Paul A. .
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2008, 24 (04) :275-286
[24]   Flamingos on a slackline: Companies' challenges of balancing the competing demands of handling customer information and privacy [J].
Gerlach, Jin P. ;
Eling, Nicole ;
Wessels, Nora ;
Buxmann, Peter .
INFORMATION SYSTEMS JOURNAL, 2019, 29 (02) :548-575
[25]   What drives self-disclosure in mobile payment applications? The effect of privacy assurance approaches, network externality, and technology complementarity [J].
Gong, Xiang ;
Zhang, Kem Z. K. ;
Chen, Chongyang ;
Cheung, Christy M. K. ;
Lee, Matthew K. O. .
INFORMATION TECHNOLOGY & PEOPLE, 2020, 33 (04) :1174-1213
[26]   Company information privacy orientation: a conceptual framework [J].
Greenaway, Kathleen E. ;
Chan, Yolande E. ;
Crossler, Robert E. .
INFORMATION SYSTEMS JOURNAL, 2015, 25 (06) :579-606
[27]   Privacy concerns for mobile app download: An elaboration likelihood model perspective [J].
Gu, Jie ;
Xu, Yunjie ;
Xu, Heng ;
Zhang, Cheng ;
Ling, Hong .
DECISION SUPPORT SYSTEMS, 2017, 94 :19-28
[28]  
Hair J. F., 2013, Multivariate data analysis
[29]  
Hong WY, 2013, MIS QUART, V37, P275
[30]  
Huck S., 2012, READING STAT RES, V6th