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Many factors may influence the training and development of middle-skill, low-skill, and disadvantaged workers. Within the United States and worldwide there are many middle-skilled, low-skilled, and disadvantaged workers whom training and development professionals must consider as organizations seek to expand their workforce and increase productivity using technology. Temporary agencies employ many middle-skilled, low-skilled, and disadvantaged workers; however, there is very little information regarding how effective these agencies are in developing these workers beyond the skill level with which they enter the agency.

This paper uses dialectical inquiry to explore tensions that arise when adopting Industry 4.0 technologies in a lean production system and their reconciliation mechanisms.

We conducted an in-depth qualitative case study over a 3-year period on an Italian division of an international electrotechnical organisation that produces electrical switches. This organisation successfully adopted Industry 4.0 technologies in a lean production system. The study is based on primary data such as observations and semi-structured interviews, along with secondary data.

We identify four empirically validated dialectic tensions arising across different Industry 4.0 adoption stages due to managers’ and workers’ contrasting interpretations of technologies. Consequently, we define the related reconciliation mechanisms that allow the effective adoption of various Industry 4.0 technologies to support a lean production system.

This is the first empirical investigation of tensions in the adoption of Industry 4.0 technologies in a lean production system. Furthermore, the paper presents four theoretical propositions and a conceptual model describing which tensions arise during the adoption of Industry 4.0 technologies in a lean production system and the reconciliation mechanisms that prevent lean production system deterioration.

The purpose of this paper is to explore the role that mobile technologies play in mobile workers’ efforts to manage the boundaries between work and non-work domains. Previous theories of work-life boundary management frame boundary management strategies as a range between the segmentation and integration of work-life domains, but fail to provide a satisfactory account of technology’s role.

The authors apply the concept of affordances, defined as the relationship between users’ abilities and features of mobile technology, in two field studies of a total of 25 mobile workers who used a variety of mobile devices and services.

The results demonstrate that the material features of mobile technologies offer five specific affordances that mobile workers use in managing work-life boundaries: mobility, connectedness, interoperability, identifiability and personalization. These affordances persist in their influence across time, despite their connection to different technology features.

The author found that mobile workers’ boundary management strategies do not fit comfortably along a linear segmentation-integration continuum. Rather, mobile workers establish a variety of personalized boundary management practices to match their particular situations. The authors speculate that mobile technology has core material properties that endure over time. The authors surmise that these material properties provide opportunities for users to interact with them in a manner to make the five affordances possible. Therefore, in the future, actors interacting with mobile devices to manage their work-life boundaries may experience affordances similar to those the authors observed because of the presence of the core material properties.

The COVID-19 pandemic stressed the health care sector's longstanding pain points, including the poor quality of frontline work and the staffing challenges that result from it. This has renewed interest in technology-centered approaches to achieving not only the “Triple Aim” of reducing costs while raising access and quality but also the “Quadruple Aim” of doing so without further squeezing wages and abrading job quality for frontline workers.

How can we leverage technology toward the achievement of the Quadruple Aim? I view this as a “grand challenge” for health care managers and policymakers. Those looking for guidance will find that most analyses of the workforce impact of technological change consider broad classes of technology such as computers or robots outside of any particular industry context. Further, they typically predict changes in work or labor market outcomes will come about at some ill-defined point in the medium to long run. This decontextualization and detemporization proves markedly problematic in the health care sector: the nonmarket, institutional factors driving technology adoption and implementation loom especially large in frontline care delivery, and managers and policymakers understandably must consider a well-defined, near-term, i.e., 5–10-year, time horizon.

This study is predicated on interviews with hospital and home health agency administrators, union representatives, health care information technology (IT) experts and consultants, and technology developers. I detail the near-term drivers and anticipated workforce impact of technological changes in frontline care delivery. With my emergent prescriptions for managers and policymakers, I hope to guide sectoral actors in using technology to address the “grand challenge” inherent to achieving the Quadruple Aim.

The impact of technology on the health and well-being of workers has been a topic of interest since computers and computerized technology were widely introduced in the 1980s. Of recent concern is the impact of rapid technological advances on individuals’ psychological well-being, especially due to advancements in mobile technology that have increased many workers’ accessibility and expected productivity. In this chapter we focus on the associations between occupational stress and technology, especially behavioral and psychological reactions. We discuss some key facilitators and barriers associated with users’ acceptance of and engagement with information and communication technology. We conclude with recommendations for ongoing research on managing occupational health and well-being in conjunction with technological advancements.

Disruptive technologies often disrupt the careers of middle-skilled workers. The purpose of this paper is to investigate career transition strategies of middle-skilled workers that partially continue or expand their careers under the condition of disruptive technologies.

This paper established a conceptual framework of career transition strategies for middle-skilled workers by integrating the existing studies of disruptive technologies, technological trajectory transition, boundaryless and protean careers, and careers as repositories of knowledge.

The authors proposed three types of career transition strategies to partially prolong middle-skilled workers’ careers, namely, industry-oriented transition strategy which refers to a transfer to other occupations in the original industry, technology-oriented transition strategy which refers to a transfer to occupations with original technical skills in other industries, and comprehensive transition strategy which refers to a transfer to other occupations in the related industries. Further, this paper discusses the external conditions and individual competencies for each career transition strategy, and timing for implementing a career transition strategy from the perspective of the technology life cycle.

This paper focused on sustainable careers of middle-skilled workers under the condition of disruptive technologies, which received very little attention from the current literature. The findings also suggested for middle-skilled workers to develop a sustainable or long-term career in the current era of many disruptive technologies. The findings may also imply on how firms and government should contribute to help workers on handling scenarios of technological disruption.

This study is based on the stimulus–organism–response (SOR) model to examine how job demands and technology overload affect work stress for workers using video conferencing apps (VCAs) in organizations during the COVID-19 pandemic. Moreover, the moderating effect of technology self-efficacy was tested in the model on the relationship between technology overload and work stress.

An online survey was conducted to investigate workers on PTT forums in Taiwan. A sample was obtained of 253 workers, and structural equation modeling was conducted using AMOS to test the hypotheses.

Job demands positively affect work stress through information overload, communication overload and system feature overload. Moreover, high technology self-efficacy may weaken the relationship between technology overload and work stress.

The study may have sample bias because our sample was obtained from an online survey on social networking sites. Regarding the theoretical implications, this study demonstrated that technology overload, as an internal organism, is a critical mediator influencing the relationship between job demands (stimulus) and work stress (response). Thus, this study extended the applicability of the SOR model in the context of working with VCAs in organizations.

Company managers need to effectively control the information amount, communication interruptions and system features of social media at optimum levels for workers. Moreover, companies should recruit workers with high technology self-efficacy or provide technology training and technology-related consulting to those with low technology self-efficacy.

The extant work stress knowledge is extended to workers using VCAs in organizations.

The purpose of this study is to explore how Industry 4.0 (I40) technologies support workers' engagement in soft total quality management (TQM) practices for organisational performance.

The authors conducted a multiple case study of six Italian manufacturing organisations that operate with I40 production and implement TQM practices. The authors concentrated on the relationship between I40 technologies and soft TQM aspects.

I40 technologies provide two forms of engagement with workers. Workers can act as machine supervisors and expert assembly operators. Organisations use five soft TQM practices to involve and develop workers for TQM that vary according to automation levels. The five soft TQM practices are top management design around workers, incremental trials with I40 technologies, worker empowerment, I40 sociotechnical collaboration and individual feedback systems.

In the literature that focusses primarily on how I40 technologies support the hard side of TQM by creating a data-driven and automated quality management system, the authors illustrate how the workforce can be engaged in I40 with five soft TQM practices to improve organisational performance. Thus, the authors complement the theory of hard and soft TQM aspects for I40 production systems.

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.

This paper aims to investigate the impacts of Industry 4.0/5.0 (I4.0/5.0) on the glass manufacturing workplace. Specifically, it studied the workplace, which represents complex manufacturing lines of high variety and volume of products.

A case study based on semi-structured interviews was conducted with managers responsible for I4.0 implementation, and the responses were treated by content analysis.

Findings reinforce I5.0 aspects to be considered in terms of work organization. The interviewees highlight work and human factors as important for technology implementation, which includes workers tasks, skills, nature of work, human resources development, hiring process and organizations strategies. It was also found that knowledge sharing poses a huge challenge.

In lieu of gaps in the literature, this research further discusses management challenges to support digital transformation and impacts on workers and organizations.