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This work examines the intersection between traditional human resource management and the novel employment arrangements of the expanding gig economy. While there is a substantial multidisciplinary literature on the digital platform labor phenomenon, it has been largely centered on the experiences of gig workers. As digital labor platforms continue to grow and specialize, more managers, executives, and human resource practitioners will need to make decisions about whether and how to utilize gig workers. Here the authors explore and interrogate the unique features of human resource management (HRM) activities in the context of digital labor platforms. The authors discuss challenges and opportunities regarding (1) HRM in organizations that outsource labor needs to external labor platforms, (2) HRM functions within digital labor platform firms, and (3) HRM policies and practices for organizations that develop their own spin-off digital labor platform. To foster a more nuanced understanding of work in the gig economy, the authors identify common themes across these contexts, highlight knowledge gaps, offer recommendations for future research, and outline pathways for collecting empirical data on HRM in the gig economy.

Following the imperative for human-centric digital innovation brought by the paradigm of Industry 5.0, the article aims to integrate the dispersed and multi-disciplinary literature on individual risks for workers to define, explain and predict individual risks related to Industry 4.0 technologies.

The paper follows the question, “What is the current knowledge and evidence base concerning risks related to Industry 4.0 technologies, and how can this inform digital innovation management in the manufacturing sector through the lens of the Industry 5.0 paradigm?” and uses the method of systematic literature review to identify and discuss potential risks for individuals associated with digital innovation. N = 51 contributions met the inclusion criteria.

The literature review indicates dominant trends and significant gaps in understanding risks from a human-centric perspective. The paper identifies individual risks, their interplay with different technologies and their antecedents at the social, organizational and individual levels. Despite this, the paper shows how the literature concentrates in studying risks on only a limited number of categories and/or concepts. Moreover, there is a lack of consensus in the theoretical and conceptual frameworks. The paper concludes by illustrating an initial understanding of digital innovation via a human-centered perspective on psychological risks.

Findings yield practical implications. In investing in the adoption, generation or recombination of new digital technologies in organizations, the paper recommends managers ensure to prevent risks at the individual level. Accordingly, the study’s findings can be used as a common starting point for extending the repertoire of managerial practices and interventions and realizing human-centric innovation.

Following the paradigm of Industry 5.0, the paper offers a holistic view of risks that incorporates the central role of the worker as crucial to the success of digital innovation. This human-centric perspective serves to inform the managerial field about important factors in risk management that can result in more effective targeted interventions in risk mitigation approaches. Lastly, it can serve to reinterpret digital innovation management and propose future avenues of research on risk.

The purpose of this paper is to examine the likely impact of AI robotics technology on the labor market through the lens of comparative advantage.

The first section reviews the recent success of AI in outperforming humans in cognitive intense activities such as Go, poker and other strategic games, which portends a shift in comparative advantage in human brain power work to machines. It notes the potential for a portfolio of specialized computer algorithms to compete with human general intelligence in work. The analysis contributes to the debate between economists dubious about claims that AI robotics will disrupt work and futurists who expect many jobs to be fully automated in coming years. It advances three “laws of robo-economics” to guide thinking about the new technologies and presents evidence that growing robot intensity has begun to impact the job market.

The paper finds that the case for AI robotics substantially changing the world of work and the distribution of income is more compelling than the case that it will have similar impacts on wages and employment as past technological changes. It advances an ownership solution to spread the benefits of AI robot-driven automation widely.

To the extent that who owns the robots rules the world, it argues for a concerted social effort to widen the “who” in ownership from the few to the many. It reviews policies to expand employee ownership of their own firm and of the stream of revenue via profit-sharing and gain-sharing bonuses. But the paper notes that ensuring that growth of AI robotics benefits all through ownership will require expansion of workers’ and citizens’ stake in business broadly, through collective investment via pension funds, individual investment in mutual funds and development of sovereign wealth funds.

The author argues that we must stop and take a look at what our insistence on human labour as the basis of our society is doing to us, and begin to search for possible alternatives. We need the vision and the courage to aim for the highest level of technology attainable for the widest possible use in both industry and services. We need financial arrangements that will encourage people to invent themselves out of work. Our goal, the article argues, must be the reduction of human labour to the greatest extent possible, to free people for more enjoyable, creative, human activities.

The purpose of this paper is to investigate how the accounting notion of “human depreciation” helped the defined benefit pension plan emerge as the dominant means of dealing with an aging workforce in the first half of twentieth century USA.

The study examines historical material to identify the intersection of several different practices and knowledges that came together in the early decades of the 1900s to permit human depreciation in 1949 to be used to formally link aging employees to their employers.

In the early part of the twentieth century, humans and machines were constructed as parts of a single productive system, human traits were studied in order to increase their machine-like capacities, in the hope of creating a more efficient industrial economy. At the same time, fatigue associated with this industrial nation was constructing the older worker as subject to decline, hence opening the door to a linkage to physical and economic depreciation.

Reveals that the language of accounting can be utilized by non-accountants and outside organizational boundaries to effect public policy and play a constitutive role. Thus, who is able to use accounting conventions is important in understanding how accounting shapes social settings.

“Human depreciation”, used by the Steel Industry Board in 1949 to assign responsibility to employers for the depreciation of their human assets, has been left unexamined despite being cited as one of the greatest contributors to the growth of industrial pensions in the USA. The study examines accounting as an interface among and between the organizational and “non-accounting” spheres.

To discuss the gender dimension of migration and human rights, and to provide an assessment of how to improve human rights protections for migrant women workers in janitorial services and night clubs across registered and unregistered migrant women workers in North Cyprus.

A survey is done to establish the employment conditions of migrant women workers in both sectors. The conditions are evaluated to assess the compliance with North Cyprus labor and immigration legislation and international human rights protocols.

Registered and unregistered segment of the janitorial services and unregistered segment of sex industry are dominated by Turkish migrant women. The registered part of sex industry is dominated by Eastern European migrant women mostly due to the legislative framework within which these two activities operate, primarily with respect to immigration requirements and also as it pertains to the remunerative potential of activity. No evidences of human rights abuses of Turkish immigrants in either segment of the cleaning services sector are founded but lack of knowledge of their conditions in unregistered sex work. Eastern European migrants working in the registered segment of the sex industry suffer human rights and basic migrant rights abuses at the hands of the state and the employer.

Lack of knowledge of Turkish migrant women workers' conditions in unregistered segment of sex work limits the findings of the research. A survey across unregistered Turkish sex workers is suggested for future research.

Legalization of commercial sex among registered konsomatrices would provide an opportunity for labor rights legislation to be fully applied to their primary income‐earning activities. Most of the human and immigrant rights violations are the result of legislation applied to nightclubs and work visas for konsomatrices. Improvements in the legislation and work visas for konsomatrices would guarantee the women to have access to assistance in case of human rights violations.

The paper provides practical suggestion for the improvement of human rights protections for migrant women workers in North Cyprus.

The main objective of this paper is to analyse the link between human capital depreciation and the educational level of Spanish salaried workers.

Wage equations are estimated by sector and occupation, following the empirical framework proposed by Neuman and Weiss. Data in this study refer to the Spanish labour market, using two cross‐sectional employee‐firm matched data.

The estimates provided in this paper suggest that human capital depreciation rates are not homogeneous for the whole sample; in contrast, they vary across educational levels, being greater as the workers' school attainment increases.

The main restriction of the paper is the limited availability of quality longitudinal data to estimate human capital depreciation.

Knowledge acquired by workers may quickly become obsolete in a context of technological change. Thus, the paper's main findings support the need for ongoing training programs to update workers' skills to changing market requirements.

The added value of this paper is two‐fold. On the one hand, returns to education and human capital depreciation for the Spanish labour force are estimated using a pseudo‐panel created from two cross‐sectional data bases. On the other hand, earnings equations are estimated by sector and occupation in order to calculate human capital depreciation rates; this procedure allows the authors to take into account the worker's occupation and their level of education as well as technological differences associated with their job.

Whether training contributes to stabilizing employment among rural migrant workers in cities remains unclear. Based on this gap in the research, the purpose of this paper is to examine how on-the-job training affects rural migrant workers’ job mobility in China.

By using randomly sampled survey data on migrant workers in Liaoning province in 2014, the authors applied a logistic model and survival analysis to explore the effect of on-the-job training on migrant workers’ job turnover and understand workers’ job change behaviour after receiving on-the-job training.

The results showed that job training provided by employers can significantly reduce migrant workers’ turnover by increasing specific human capital. By contrast, training provided by the government or migrant workers themselves focuses on increasing general human capital and thus fails to reduce job turnover. Moreover, further discussion revealed that, in the trained group, those people with a short tenure and low wage in the first job, people without any skills before migration, male migrant workers, and people that work in medium-sized and large cities have a higher probability of changing jobs. These findings suggest that to tackle the high rate of job mobility among rural migrant workers, firms should entice this labour to train by adjusting their internal training mechanisms, and local governments should subsidize firms that provide on-the-job training for rural migrant workers to help share the costs and risks of training. Moreover, for sake of reducing job changing among those trained workers, firms even should take actions to protect their labour rights of migrant workers and to ensure that they receive equal treatment to their urban counterparts.

This paper makes three contributions to the field of job mobility in China. First, it explores the mechanism between on-the-job training and rural migrant workers’ job mobility. Second, it empirically analyses the effect of on-the-job training on migrant workers’ job mobility as well as the different effects of general and specific training. Lastly, its results have important policy implications for the employment stability of rural migrant workers.

The purpose of this paper is to point to some emerging workplace issues relating to the increasing collaboration between human and robot workers. As the number of human workers shrinks and that of robots increases, how will this change the dynamics of the workplace and human worker motivation?

The approach of this paper is to examine recent academic, business and media writings on the subject of artificial intelligence and robotics in the workplace to identify gaps in our understanding of the new hybrid work environment.

What the author has found is that although there are numerous voices expressing concerns about the replacement of human workers by robots, there has not as yet been a substantive study of the impact on human workers of sharing their work life with robots in this environment.

The findings in this paper are limited by the fact that they are drawn from a review of the secondary literature rather than from primary research and are therefore speculative and anecdotal.

The practical implications of the findings are to suggest that it is time to establish a systematic and standardized method for analyzing and measuring the impact on human workers of operating in an environment increasingly populated by automated co-workers.

The author suspects that the social implications will be to suggest that as a human society we will need to establish psychologically and culturally valid means for coping with this new work environment, and the author believes some of the findings may well prove counter intuitive within the social context of work.

The author does not believe there is any substantial work addressing the social, psychological or cultural implications of humans working besides robots on a daily basis.

With Industry 4.0 and the extensive rise of smart technologies, we are seeing remarkable transformations in work practices and workplaces. Scholars report the phenomenal progress of smart technologies. At the same time, we can hear the rhetoric emphasising their potential threats. This study focusses on how and where intelligent machines are leveraged in the workplace, how humans co-working with intelligent machines are affected and what they believe can be done to mitigate the risks of the increased use of intelligent machines.

We conducted in-depth interviews with 15 respondents working in various leadership capacities associated with intelligent machines and technologies. Using NVivo, we coded and churned out the themes from the qualitative data collected.

This study shows how intelligent machines are leveraged across different industries, ranging from chatbots, intelligent sensors, cognitive systems and computer vision to the replica of the entire human being. They are used end-to-end in the value chain, increasing productivity, complementing human workers’ skillsets and augmenting decisions made by human workers. Human workers experience a blend of positive and negative emotions whilst co-working with intelligent machines, which influences their job satisfaction level. Organisations adopt several anticipatory strategies, like transforming into a learning organisation, identifying futuristic technologies and upskilling their human workers, regularly conducting social learning events and designing accelerated career paths to embrace intelligent technologies.

This study seeks to understand the emotional and practical implications of the use of intelligent machines by humans and how both entities can integrate and complement each other. These insights can help organisations and employees understand what future workplaces and practices will look like and how to remain relevant in this transformation.