Publication Cover
The Information Society
An International Journal
Volume 38, 2022 - Issue 2
358
Views
0
CrossRef citations to date
0
Altmetric
Articles

Management and mitigation of location privacy violations: Case study analysis of U.S. local governments

ORCID Icon, &
Pages 147-164 | Received 12 Oct 2020, Accepted 24 May 2021, Published online: 06 Apr 2022
 

Abstract

Location privacy is a growing challenge in today’s geo-referenced world. This exploratory study investigates the management of location privacy and mitigation of its violations through case studies of six city and county governments in the United States. It focuses on why or why not local governments have instituted location privacy policies, how they incorporate location privacy in their management, and how the managerial processes of location privacy policy formulation and implementation could be conceptualized. It follows an inductive approach, analyzing within-case findings, identifying cross-case commonalities, and inducing propositions. Findings show that there is no consistent definition of location privacy, with each local government developing its own definition and attendant approaches to privacy policymaking, management, and protection. It induces seven propositions and posits a research model centered on the concept of managerial cognition. Practical implications for city and county management are also discussed.

Acknowledgements

The authors acknowledge the remarkable ethical insights and support from Dr. Carlo Carrascoso and the keen and very helpful advice on management and GIS in city and county governments by Mitch Cochran.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 229.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.