Cited by 387Privacy, Security, and Data ProtectionInformation and Cyber SecurityPrivacy-Preserving Technologies in Data

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

A field experiment comparing information-privacy values, beliefs, and attitudes across several types of organizations.

Stone, Eugene F., Gueutal, Hal G., Gardner, Donald G., McClure, Stephen·1983·Journal of Applied Psychology

Abstract

South Bend, IndianaThe present study examined (a) the effect of organizational type (a manipulatedvariable) on individuals' information-privacy values, beliefs, attitudes, and be-havioral intentions and (b) relationships between the same measured variablesSix organizational types were used (1 e., employers, insurance companies, lawenforcement agencies, credit grantors, lending institutions, and the Internal Rev-enue Service). Data on the dependent variables were obtained through the useof structured interviews involving 193 randomly selected residents of a mid-western state Multivanate and univanate analyses revealed (a) significant dif-ferences among the organizational types on information-privacy values, beliefs,and attitudes, and (b) significant correlations between these and other measuredvanables The implications of these findings for organizational and societal policymaking concerning the treatment of information about individuals are discussed

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Crossref · 10.1037/0021-9010.68.3.459

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Metadata

Authors
Stone, E. F., Gueutal, H. G., Gardner, D. G., & McClure, S.
Affiliations
New York University (US)
Venue
Journal of Applied Psychology
Published
1983-08
Volume
68
Issue
3
Pages
459-468
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2039669983
Cited by
387
References
10
Citations by year
2026: 5 · 2025: 8 · 2024: 10 · 2023: 17 · 2022: 20 · 2021: 20 · 2020: 32 · 2019: 22 · 2018: 21 · 2017: 16 · 2016: 19 · 2015: 11 · 2014: 20 · 2013: 15 · 2012: 14
FWCI
5.10
Type
journal article
Language
en
Open access
closed
Locations
Journal of Applied Psychology (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Keywords
data privacy, privacy attitudes, privacy values, behavioral intention, organizational type, insurance companies, law enforcement agencies, credit institutions, Internal Revenue Service, personal information disclosure, privacy policies

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