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In this chapter we study job design. Do organizations plan precisely how the job is to be done ex ante, or ask workers to determine the process as they go? We first model this decision and predict complementarity among these following job attributes: multitasking, discretion, skills, and interdependence of tasks. We argue that characteristics of the firm and industry (e.g., product and technology, organizational change) can explain observed patterns and trends in job design. We then use novel data on these job attributes to examine these issues. As predicted, job designs tend to be “coherent” across these attributes within the same job. Job designs also tend to follow similar patterns across jobs in the same firm, and especially in the same establishment: when one job is optimized ex ante, others are more likely to be also. There is evidence that firms segregate different types of job designs across different establishments. At the industry level, both computer usage and R&D spending are related to job design decisions.

The main function of hierarchies is to coordinate activities within an organization, but a hierarchical structure also provides work incentives, by offering the prospect of hierarchical mobility. An alternative way for organizations to motivate workers is through job design. In organizations offering rewarding jobs, the incentivizing role of hierarchies may become obsolete, and the number of hierarchical levels can be reduced. Two job design features are particularly relevant: autonomy and problem-solving. We investigate the relationship between the number of hierarchical layers and job design features empirically using the European Company Survey (ECS 2019). We find that the extent of the adoption of both complex job design and autonomous teamwork is negatively associated with the number of hierarchical layers. However, the association between complex job design and the number of hierarchical layers is weakened, and in some cases disappears, in larger organizations where hierarchies have a more important coordination role and it is weakened when the knowledge acquisition costs are high. The use of autonomous teams is robustly negatively associated with the number of hierarchical layers.

In this chapter the relationship between job design and older workers is considered. Starting from a conceptual definition of what the concept job and work design is, we consider theoretic approaches to the study of job design over the last decades, including recent frameworks, measurement, and research. We follow this with a specific focus on the topic of job design for older workers. We argue that the rules of “good job design” are not applicable to all workers, focusing specifically on the issues of age and career stage. We next show through a theoretical model and some empirical research that some job characteristics may be more suitable or beneficial for people in older age groups or later stages of their careers (e.g., Truxillo, Cadiz, Rineer, Zaniboni, & Fraccaroli, 2012). Empirical support for the role of age in job design is considered. We conclude by defining some avenues for future research, including the identification of additional factors that may determine how age and job characteristics affect worker behavior, attitudes, and well-being.

The design of work has been shown to influence a host of attitudinal, behavioral, cognitive, well-being, and organizational outcomes. Despite its clear importance, scholarly interest in the topic has diminished over the past 20 years. Fortunately, a recent body of research has sought to reenergize research into work design by expanding our view of work design from a narrow set of motivational work features to one that incorporates broader social and contextual elements. In this chapter we seek to review the literature on work design and develop a framework that integrates both job and team design research. We begin by briefly reviewing the history of work design in order to provide needed historical context and illustrate the evolution of job and team design. We then define work design, particularly as it relates to incorporating job and team design elements and transitioning from a view of jobs to one of roles. Following this, we identify a comprehensive set of work design outcomes that provide the basis for understanding the impact that different work characteristics can have on individuals and teams. We then offer an extended discussion of our integrative model of work design, which includes three sources of work characteristics (task, social, and contextual) and the worker characteristics implied by these characteristics. Having defined the range of work and worker characteristics, we then discuss some of the fit and composition issues that arise when designing work, as well as discuss the mechanisms through which the work characteristics have their impact on outcomes. Finally, we discuss research into informal forms of work design.

Work design has largely overlooked cognitive–emotional interactions in understanding employee motivation and satisfaction. My aim in this chapter is to develop a conceptual model that integrates what we know about these interactions from research on emotions and neuroscience with traditional and emergent work design perspectives. I propose that striving for universal goals influences how a person responds to the work characteristics, such that an event that is personally relevant or “self-referential” will elicit an emotional reaction that must be regulated for optimal performance, job satisfaction, and well-being. A Self-Referential Emotion Regulatory Model (SERM) of work design is presented.

This chapter aims to encourage and guide smart industry HRM-related research by addressing upcoming challenges developed using a job design lens.

The challenges are constructed based on a developed overview of the existing body of work related to job design and a description of smart industry.

The challenges are meant as an indication of the issues that arise within job design due to smart industry and, in so doing, suggest directions for future research in this specific field. Additionally, through laying out challenges for this particular example, the chapter encourages scholars to consider the possible impact of smart industry within other HRM areas.

Idiosyncratic jobs occur when formal job duties match the abilities or interests of a specific person. New duties can accrue or be negotiated to match an existing employee or a potential hire. Idiosyncratic jobs can help organizations deal with changing contexts, and influence organizational goals and structure. They can affect job holders’ careers and organizational job structures. The evolutionary accumulation of idiosyncratic jobs can potentially generate unplanned organizational learning. Promising research frontiers include links to work on job crafting, I-Deals, negotiated joining, and ecologies of jobs. Deeper exploration of these domains can advance core theories of job design and organizational transformation and inform normative theory on organizational use of idiosyncratic jobs without falling into cronyism, inefficiency, or injustice.

We investigate the relationship between job complexity and skill development of adult workers in Europe using the Cedefop European Skills and Jobs Survey. ¹ The results suggest that challenging workplaces in which jobs are designed to include complex tasks that place high demands on workers’ skills also stimulate skill development. Increasing the degree of job complexity has positive and robust effects on the degree of skill development. Skill development is also positively linked to job tenure. The analysis stresses the importance of on-the-job learning and contextual workplace characteristics for adult workers’ skill development.

High-involvement work processes (HIWPs) are associated with high levels of employee influence over the work process, such as high levels of control over how to handle individual job tasks or a high level of involvement at team or workplace level in designing work procedures. When implementations of HIWPs are accompanied by companion investments in human capital – for example, in better information and training, higher pay and stronger employee voice – it is appropriate to talk not only of HIWPs but of “high-involvement work systems” (HIWSs). This chapter reviews the theory and practice of HIWPs and HIWSs. Across a range of academic perspectives and societies, it has regularly been argued that steps to enhance employee involvement in decision-making create better opportunities to perform, better utilization of skill and human potential, and better employee motivation, leading, in turn, to various improvements in organizational and employee outcomes.

However, there are also costs to increased employee involvement and the authors review the important economic and sociopolitical contingencies that help to explain the incidence or distribution of HIWPs and HIWSs. The authors also review the research on the outcomes of higher employee involvement for firms and workers, discuss the quality of the research methods used, and consider the tensions with which the model is associated. This chapter concludes with an outline of the research agenda, envisaging an ongoing role for both quantitative and qualitative studies. Without ignoring the difficulties involved, the authors argue, from the societal perspective, that the high-involvement pathway should be considered one of the most important vectors available to improve the quality of work and employee well-being.

Technological development creates technological imperative for organisations. The most recent is dedicated to digital technologies with a strong influence on the way of managing and organising. To gain a better understanding of the latest business practice, the authors use a multilevel perspective and apply the historical analysis method. Specifically, this chapter explores organisational design (OD) of the future through the evolutionary perspective (spanning across the four industrial revolutions) and brings into focus how technological imperatives modified organisational structure, coordination mechanisms and people/job practices. By reflecting on the historical changes in OD practices that happened throughout different phases of industrialisation, the authors analyse how building blocks of digital OD shape managerial and employee behaviours, thus unleashing the performance potential of digital technologies.