scholarly journals Influence of HRM Practices on Privacy Policy Compliance Intention: A Study among Bank Employees in Korea

2014 ◽  
Vol 8 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Youngkeun Choi ◽  
Taejong Yoo
Keyword(s):  
Privacy Policy ◽  
Policy Compliance ◽  
Hrm Practices ◽  
Bank Employees

A comparative research on job satisfaction and HRM practices: Empirical investigation of few commercial bank employees in Bangladesh.

2015 ◽  
Vol 5 (2) ◽  
pp. 290 ◽  
Author(s):  
Riaz Uddin Ahmed
Keyword(s):  
Job Satisfaction ◽  
Commercial Bank ◽  
Sampling Method ◽  
Pearson Correlation ◽  
Job Security ◽  
Sustainable Growth ◽  
Hrm Practices ◽  
Bank Employees ◽  
The City ◽  
Positive Effect

This research study was focused on the effect of HRM practices namely recruitment & selection, training & development, salary & benefits, job security, reward and supervisory role on job satisfaction of few commercial bank employees of Bangladesh. A sample of 50 respondents were selected randomly from ONE Bank Ltd, The City Bank Ltd, ICB Islamic bank Ltd, Prime Bank Ltd and Eastern Bank Ltd using purposive sampling method. A survey was carried out with a self-designed structured closed ended questionnaire with five point Likert scale and the data were analyzed with descriptive statistics, Pearson correlation and multiple linear regression. The findings revealed that recruitment & selection, training & development, salary & benefits and reward have positive effect on employees’ job satisfaction whereas supervisory role and job security have adverse effect. It was recommended to the authorities of said banks that they should emphasize more on these two HRM practices to ensure sustainable growth and development of their organization.

scholarly journals Mitigator: Privacy policy compliance using trusted hardware

2020 ◽  
Vol 2020 (3) ◽  
pp. 204-221
Author(s):  
Miti Mazmudar ◽  
Ian Goldberg
Keyword(s):  
Trusted Computing ◽  
Privacy Policy ◽  
End User ◽  
Privacy Policies ◽  
Policy Compliance ◽  
Policy Model ◽  
Access Control Policies ◽  
Trusted Hardware ◽  
Trusted Computing Base ◽  
Proof Of Compliance

AbstractThrough recent years, much research has been conducted into processing privacy policies and presenting them in ways that are easy for users to understand. However, understanding privacy policies has little utility if the website’s data processing code does not match the privacy policy. Although systems have been proposed to achieve compliance of internal software to access control policies, they assume a large trusted computing base and are not designed to provide a proof of compliance to an end user. We design Mitigator, a system to enforce compliance of a website’s source code with a privacy policy model that addresses these two drawbacks of previous work. We use trusted hardware platforms to provide a guarantee to an end user that their data is only handled by code that is compliant with the privacy policy. Such an end user only needs to trust a small module in the hardware of the remote back-end machine and related libraries but not the entire OS. We also provide a proof-of-concept implementation of Mitigator and evaluate it for its latency. We conclude that it incurs only a small overhead with respect to an unmodified system that does not provide a guarantee of privacy policy compliance to the end user.

Combining Defaults and Transparency Information to Increase Policy Compliance

2020 ◽  
Vol 51 (5) ◽  
pp. 354-359 ◽  
Author(s):  
Yavor Paunov ◽  
Michaela Wänke ◽  
Tobias Vogel
Keyword(s):  
Independent Effect ◽  
Online Experiment ◽  
Policy Compliance ◽  
Empirical Question ◽  
Theoretical Predictions

Abstract. Combining the strengths of defaults and transparency information is a potentially powerful way to induce policy compliance. Despite negative theoretical predictions, a recent line of research revealed that default nudges may become more effective if people are informed why they should exhibit the targeted behavior. Yet, it is an open empirical question whether the increase in compliance came from setting a default and consequently disclosing it, or the provided information was sufficient to deliver the effect on its own. Results from an online experiment indicate that both defaulting and transparency information exert a statistically independent effect on compliance, with highest compliance rates observed in the combined condition. Practical and theoretical implications are discussed.

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