Reasons and Strategies for Privacy Features in Tracking and Tracing Systems—A Systematic Literature Review

In the course of the digitization of production facilities, tracking and tracing of assets in the supply chain is becoming increasingly relevant for the manufacturing industry. The collection and use of real-time position data of logistics, tools and load carriers are already standard procedure in entire branches of the industry today. In addition to asset tracking, the technologies used also offer new possibilities for collecting and evaluating position and biometric data of employees. Thus, these technologies can be used for monitoring performance or for tracking worker behaviour, which can lead to additional burdens and stress for employees. In this context, the collection and evaluation of employee data can influence the workplace of the affected employee in the company to his or her disadvantage. The approach of Privacy by Design can help to benefit from all the advantages of these systems, while ensuring that the impact on employee privacy is kept to a minimum. Currently, there is no survey available that reviews tracking and tracing systems supporting this important and emerging field. This work provides a systematic overview from the perspective of the impact on employee privacy. Additionally, this paper identifies and evaluates the techniques used with regard to employee privacy in industrial tracking and tracing systems. This helps to reveal new privacy preserving techniques that are currently underrepresented, therefore enabling new research opportunities in the industrial community.

Examining the dark side of human resource analytics: an empirical investigation using the privacy calculus approach

PurposeThe purpose of this study is to explore the negative consequences of human resource analytics applications using the privacy calculus approach.Design/methodology/approachBy using the existing literature and privacy calculus theory, a theoretical model has been developed. This model helps to examine the benefits and risks associated with HR analytics applications. The theoretical model was validated using the partial least square structural equation modeling (PLS-SEM) technique with 315 respondents from different organizations.FindingsHR analytics provides multiple benefits to employees and organizations. But employee privacy may be compromised due to unauthorized access to employee data. There are also security concerns about the uncontrolled use of these applications. Tracking employees without their consent increases the risk. The study suggests that appropriate regulation is necessary for using HR analytics.Research limitations/implicationsThis study is based on cross-sectional data from a specific region. A longitudinal study would have provided more comprehensive results. This study considers five predictors, including other boundary conditions that could enhance the model’s explanative power. Also, data from other countries could improve the proposed model.Practical implicationsThe proposed model is useful for HR practitioners and other policymakers in organizations. Appropriate regulations are important for HR analytics applications. The study also highlights various employee privacy and security-related issues emerging from HR analytics applications. The study also discusses the role of leadership support for the appropriate usage of HR analytics.Originality/valueOnly a few research studies have explored the issues of HR analytics and its consequences. The proposed theoretical model is the first to consider the negative consequence of HR analytics through privacy calculus theory. In this perspective, the research is considered to be novel.

Big Data in the workplace: Privacy Due Diligence as a human rights-based approach to employee privacy protection

Data-driven technologies have come to pervade almost every aspect of business life, extending to employee monitoring and algorithmic management. How can employee privacy be protected in the age of datafication? This article surveys the potential and shortcomings of a number of legal and technical solutions to show the advantages of human rights-based approaches in addressing corporate responsibility to respect privacy and strengthen human agency. Based on this notion, we develop a process-oriented model of Privacy Due Diligence to complement existing frameworks for safeguarding employee privacy in an era of Big Data surveillance.

A Qualitative Study to Develop a Privacy and Nondiscrimination Best Practice Framework for Personalized Wellness Programs

Employers in the United States (US) increasingly offer personalized wellness products as a workplace benefit. In doing so, those employers must be cognizant of not only US law but also European Union (EU) law to the extent that the EU law applies to European immigrants or guest workers in the US. To the extent that wellness programs are implemented in either public health or employment contexts within the US and/or EU, sponsors of these programs can partner with direct-to-consumer (DTC) genetic testing companies and other digital health companies to generate, collect, and process sensitive health information that are loosely or partially regulated from a privacy and nondiscrimination standpoint. Balancing claims about the benefits of wellness programs are concerns about employee health privacy and discrimination and the current unregulated nature of consumer health data. We qualitatively explored the concerns and opinions of public and legislative stakeholders in the US to determine key themes and develop privacy and nondiscrimination best practices. Key themes emerged as promoting a culture of trust and wellness. Best practices within these themes were: (1) have transparent and prominent data standards and practices, (2) uphold employee privacy and nondiscrimination standards, (3) remove penalties associated with biometric outcomes and nondisclosure of sensitive health information, (4) reward healthy behavior regardless of biometric outcomes, and (5) make program benefits accessible regardless of personal status. Employers, DTC genetic testing companies, policymakers, and stakeholders broadly should consider these themes and best practices in the current absence of broad regulations on nondiscriminatory workplace wellness programs.

Workplace biometrics: Protecting employee privacy one fingerprint at a time

This article examines the contested terrain of protecting or providing biometric data in the workplace. Through a major case study in Australia, a decision to terminate employment on the grounds of non-consent for biometric data to be collected was overturned through the legislative system. The case is important in that it highlights the increased impetus to collect such data and the arbitrary nature of legal protection. However, the results of this significant case do provide improved clarity and guidance on the usage, collection, storage and management of biometric data. It also signals to management the need to understand employees’ rights and their own obligations around the informational privacy of employees.

Economic and social benefits of socially responsible actions towards employees in agribusiness enterprises

Summary The aim of the paper is to identify the scope of socially responsible actions towards employees in agribusiness enterprises and to assess their impact on the level of economic and social benefits resulting from the use of the CSR concept in business practice. The survey research carried out on a sample of 325 companies from the SME sector conducting business in rural areas of the Mazowieckie Voivodeship served to meet the objective of the paper. The results indicate a positive, strong impact of involvement in the CSR activities on the obtained effects, which is more pronounced in the case of economic benefits than social benefits, and can be observed more clearly in smaller companies. Key socially responsible actions towards employees include employee satisfaction surveys as well as data protection and protection of employee privacy. Activity in the analyzed CSR area mainly translates into financial performance and building a positive image of enterprises in their environment