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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.

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.

Despite widespread interest in the gig economy, academic research on the topic has lagged behind. The present chapter applies organizational theory and research to compose a working model for understanding participation in the gig economy and how gig work may impact worker health and well-being. Drawing from past research this chapter defines the gig economy in all its diversity and advances a framework for understanding why individuals enter into gig economy. Next, the authors discuss how various characteristics of the gig economy and gig workers can be understood as both demands and resources that influence how gig work is likely to be experienced by the individual. To understand how these characteristics are likely to influence worker health and well-being, we draw from past research on alternative work arrangements and entrepreneurship, as well as the limited extant research on the gig economy. Finally, a research agenda is proposed to spur much needed research on the gig economy and its workers.

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.

The core deficits associated with ASD pose significant obstacles to achieving social competence; indeed, the deficits, in many cases, define social incompetence. The diagnostic criteria for autism include qualitative impairment in social interactions and verbal and non-verbal communication, including delay in the acquisition of expressive language (American Psychiatric Association (APA), 2000). A pattern of narrow, restricted interests and stereotyped behavior are also requirements of the diagnosis. The diagnostic criteria for Asperger's Disorder also include impaired social interaction and restricted interests without delay in language acquisition and with average to above average intelligence (APA, 2000). In sum, ASD is defined by significant impairment in social functioning that is qualitatively distinctive from both typical social functioning and from social functioning deficits associated with other diagnoses.

Part-time employment is a vital portion of the U.S. labor force, yet research to date has provided only limited insights into how to successfully create and manage this sector of the workforce. We propose that these limitations are due, at least in part, to an inadequate explication of the levels issues inherent in this area. In this article, we present a summary framework of constructs at the economic, industry, organization, individual, and work levels that influence part-time work arrangements. We then specify a cross-level moderator model that examines how the number of hours worked by employees influences their attitudes and behaviors. We posit that this relationship is moderated by a number of contextual effects at multiple levels. Using this sample model, we demonstrate the way in which researchers examining part-time work arrangements can effectively address levels issues. Our article concludes with a discussion of the implications that this summary framework has for researchers, practitioners, and policy makers.