Content area

Abstract

This study focuses on two specific privacy policies, namely privacy assurance and personalization declaration. Specifically, we investigate how these distinct privacy policies affect customers’ privacy concerns and subsequent purchase responses. We have developed a conceptual model that addresses the independent effects of privacy assurance and personalization declaration, as well as the mechanism (i.e., privacy concerns) of these effects. Our model is grounded in motivation theory and supported by a field experiment and a controlled experiment. Our study demonstrates that privacy assurance that claims security protection negatively affects customers’ purchase probability and purchase amount. By contrast, personalization declaration that addresses personalized benefits positively affects customers’ purchase probability and purchase amount. Privacy concerns significantly mediate the negative effects of privacy assurance on purchase responses and the positive effects of personalization declaration on purchase responses. Overall, our findings inform managers of how to deploy privacy policies to reduce customers’ privacy concerns and boost purchase responses.

Details

Title
Which Privacy Policy Works, Privacy Assurance or Personalization Declaration? An Investigation of Privacy Policies and Privacy Concerns
Author
Zeng Fue 1 ; Ye Qing 1 ; Yang, Zhilin 2 ; Li, Jing 3 ; Song, Yiping Amy 4 

 Wuhan University, Department of Marketing, Economics and Management School, Wuhan, China (GRID:grid.49470.3e) (ISNI:0000 0001 2331 6153) 
 China University of Mining and Technology, School of Management, Xuzhou, China (GRID:grid.411510.0) (ISNI:0000 0000 9030 231X); City University of Hong Kong, Department of Marketing, College of Business, Hong Kong, China (GRID:grid.35030.35) (ISNI:0000 0004 1792 6846) 
 Nanjing University, Department of Marketing and E-commerce, School of Business, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
 NEOMA Business School - Campus de Reims, Department of Marketing, Reims, France (GRID:grid.462778.8) (ISNI:0000 0001 0721 566X) 
Pages
781-798
Publication year
2022
Publication date
Apr 2022
Publisher
Springer Nature B.V.
ISSN
01674544
e-ISSN
15730697
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2641234244
Copyright
© Springer Nature B.V. 2020. corrected publication 2020.