Electronic Performance Monitoring in the Digital Workplace: Conceptualization, Review of Effects and Moderators, and Future Research Opportunities

Backfire effects of performance quantification on stress and disidentification: The role of metadehumanization in organizations, sport, and social networks

Quantification, that is, the shaping of human environments in numerical terms, is so widespread in contemporary societies that it has contaminated almost all spheres of human life. We explore the links between performance quantification and individuals' feelings of being treated in a dehumanized way, that is, metadehumanization. We present an integrative research that assessed the relationships between performance quantification, metadehumanization, and on two of metadehumanization's consequences, that is, stress and disidentification, in three contexts, that is, organizations, sport, and social networks. In addition, we test the moderating roles of two individual variables, that is, competitiveness and tender-mindedness, in this model. In three samples (Ns = 204, 300, 297, for Samples A, B, and C, respectively), we show a mediation effect of metadehumanization on the links between performance quantification and stress and disidentification that holds despite of contextual variations. Unexpectedly, our two moderated mediation hypotheses did not hold or showed inconsistent effects across samples.

Working from Home with Flexible and Permeable Boundaries

The COVID-19 pandemic forced information workers across the world to work from home. This situation removes the physical boundary between work and home, impacting their work-life balance. How information workers configure the digital workplace (DWP) to manage their workplace boundaries and what effect this has on their individual job satisfaction remains unclear. To close this gap in the literature, 202 information workers completed an online survey. The findings partially confirm existing theory that more work flexibility increases job satisfaction while more work permeability decreases job satisfaction. However, depending on the flexibility and permeability of their work-home boundaries, the frequency with which information workers use DWP tools has cross-over effects on job satisfaction. The findings contribute to boundary theory and the new stream of digital workplace literature.

Algorithms and the future of work

An algorithm refers to a series of stepwise instructions used by a machine to perform a mathematical operation. In 1955, the term artificial intelligence (AI) was coined to indicate that a machine could be programmed to duplicate human intelligence. Even though that goal has not yet been reached, the use of sophisticated machine learning algorithms has moved us closer to that goal. While algorithm-enabled systems and devices will bring many benefits to occupational safety and health, this Commentary focuses on new sources of worker risk that algorithms present in the use of worker management systems, advanced sensor technologies, and robotic devices. A new "digital Taylorism" may erode worker autonomy, and lead to work intensification and psychosocial stress. The presence of large amounts of information on workers within algorithmic-enabled systems presents security and privacy risks. Reliance on indiscriminate data mining may reproduce forms of discrimination and lead to inequalities in hiring, retention, and termination. Workers interfacing with robots may face work intensification and job displacement, while injury in the course of employment by a robotic device is also possible. Algorithm governance strategies are discussed such as risk management practices, national and international laws and regulations, and emerging legal accountability proposals. Determining if an algorithm is safe for workplace use is rapidly becoming a challenge for manufacturers, programmers, employers, workers, and occupational safety and health practitioners. To achieve the benefits that algorithm-enabled systems and devices promise in the future of work, now is the time to study how to effectively manage their risks.

The digital rainbow: Digital determinants of health inequities

The widely used socioecological rainbow model from Dahlgren and Whitehead specifies determinants of health inequity on multiple hierarchical levels and suggests that these determinants may interact both within and between levels. At the time of its inception, digital determinants only played a minor role in tackling inequities in public health and were therefore not specifically considered. This has dramatically changed: From today's perspective, health inequities increasingly depend on digital determinants. In this article, we suggest adapting the Dahlgren-Whitehead model to reflect these developments. We propose a model that allows formulating testable hypotheses, interpreting research findings, and developing policy implications against the background of the global spread of digital technologies. This may facilitate the development of a new line of research and logic models for public health interventions in the digital age. Using the COVID-19 pandemic as a case study, we illustrate how the digitization of all aspects of life affects the different levels of determinants of health inequities in the Dahlgren-Whitehead model. In doing so, we deliberately argue for not introducing a separate digital sphere in its own right, but for understanding digitization as a phenomenon that permeates all levels of determinants of health inequities. As a result, we present a digital rainbow model that integrates Dahlgren and Whitehead's 1991 model with digital environments to identify current health promotion and research issues without changing the rainbow model's initial structure.

Remote workers' experiences with electronic monitoring during Covid-19: implications and recommendations

Purpose

This conceptual article outlines the known effects of employee monitoring on employees who are working remotely. Potential implications, as well as practitioner suggestions, are outlined to identify how practitioners can create more supportive employee experiences as well as apply these to workplace health management scenarios.

Design/methodology/approach

This overview is based on a selective and practically oriented review of articles that hitherto considered the health implications of remote workers being monitored electronically over the last two years. This overview is subsequently complemented by a discussion of more recent findings that outline the potential implications of monitoring for remote employees, employees' work experience and workplace health management.

Findings

Several practitioner-oriented suggestions are outlined that can pave the way to a more supportive employee experience for remote workers, who are monitored electronically by their employers. These include the various health and social interventions, greater managerial awareness about factors that influence well-being and more collaboration with health professionals to design interventions and new workplace policies. Organizations would also benefit from using audits and data analytics from monitoring tools to inform their interventions, while a rethink about work design, as well as organizational reviews of performance and working conditions further represent useful options to identify and set up the right conditions that foster both performance as well as employee well-being.

Originality/value

The article outlines practitioner-oriented suggestions that can directly and indirectly support employee well-being by recognizing the various factors that affect performance and experience.

The Relationship Between Business Environment and Single Champion Enterprise Entrepreneurship

What kind of business environment can produce high single champion enterprise entrepreneurship is a new issue for discussion in research on entrepreneurship. Based on institutional configuration theory and the fcQCA method, the present paper analyses the relationship between the business environment and single champion enterprise entrepreneurship from the perspective of configuration. This paper studies the role of the business environment in 80 case cities all over the country in promoting high single champion enterprise entrepreneurship and discusses three business environment configurations concerning high single champion enterprise entrepreneurship and two configurations concerning non-high single champion enterprise entrepreneurship. Three typical business environment element configurations can promote high single champion enterprise entrepreneurship, namely, the market innovation type dominated by multiple resources, the financial service–driven type assisted by resources, and the market-driven type led by financial services, which reflects the significance of financial services and the market environment.