Privacy and biometrics: An empirical examination of employee concerns
| Autor: | Chelsea Hicks, Michele Maasberg, Darrell Carpenter, Alexander J. McLeod |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Distrust
Biometrics Computer Networks and Communications business.industry media_common.quotation_subject 05 social sciences Internet privacy 02 engineering and technology Authentication (law) Theoretical Computer Science Test (assessment) Interdependence Work (electrical) 020204 information systems 0502 economics and business Accountability 0202 electrical engineering electronic engineering information engineering Predictive power business 050203 business & management Software Information Systems media_common |
| Zdroj: | Information Systems Frontiers. 20:91-110 |
| ISSN: | 1572-9419 1387-3326 |
| Popis: | Advances in authentication technology have led to a proliferation of biometric-based systems in the workplace. Although biometric technologies offer organizations a cost-effective method of increasing security, employees are often hesitant to permit use. The collection and storage of employee biometric data raises concerns about proper use of these intensely personal identifiers. This work draws from organizational privacy practices, electronic monitoring, procedural fairness, self-construal, and technology adoption theories. We investigate the effects of independent and interdependent self-construal on three newly developed dimensions of employee privacy concern related to organizational use of biometric technology. These dimensions include perceived accountability, perceived vulnerability, and perceived distrust toward the organization. We test the predictive power of our model using data from an organization deploying a new biometric system designed to track employee work assignments under the auspices of improving personnel safety. Results indicate that self-construal plays a significant role in the formulation of privacy concerns and both perceived accountability concerns and perceived vulnerability concerns are significant predictors of attitude toward using biometric technology in the workplace. |
| Databáze: | OpenAIRE |
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