Summary
Two dominant perspectives of job crafting—the original theory from Wrzesniewski and Dutton () and the job demands resources perspective from Tims, Bakker, and Derks ()—remain separate in ...research. To synthesize these perspectives, we propose a three‐level hierarchical structure of job crafting, and we identify the aggregate/superordinate nature of each major job crafting construct. The first level of the structure is job crafting orientation, or approach versus avoidance crafting, which we argue is an essential yet often neglected distinction in the literature. We address the debate surrounding cognitive crafting and identify crafting form (behavioral versus cognitive crafting) as the next hierarchical level of constructs. Finally, we concur that job resources and job demands, or crafting content, capture different ways that individuals craft their jobs. Using this integrated hierarchical structure, we were able to review antecedents and outcomes from both perspectives. We show, for example, that approach crafting in its behavioral form is very similar to other proactive behaviors in the way it functions, suggesting a need for closer synthesis with the broader proactive literature, whereas avoidance crafting appears to be less proactive and often dysfunctional. On the basis of our review, we develop a road map for future research.
Much research shows it is possible to design motivating work, which has positive consequences for individuals and their organizations. This article reviews research that adopts this motivational ...perspective on work design, and it emphasizes that it is important to continue to refine motivational theories. In light of continued large numbers of poor-quality jobs, attention must also be given to influencing practice and policy to promote the effective implementation of enriched work designs. Nevertheless, current and future work-based challenges mean that designing work for motivation is necessary but insufficient. This review argues that work design can be a powerful vehicle for learning and development, for maintaining and enhancing employees' physical and mental health, and for achieving control and flexibility simultaneously (for example, in the form of ambidexterity); all these outcomes are important given the challenges in today's workplaces. The review concludes by suggesting methodological directions.
We propose a central role for work design in understanding the effects of digital technologies. We give examples of how new technologies can—depending on various factors—positively and negatively ...affect job resources (autonomy/control, skill use, job feedback, relational aspects) and job demands (e.g., performance monitoring), with consequences for employee well‐being, safety, and performance. We identify four intervention strategies. First, work design choices need to be proactively considered during technology implementation, consistent with the sociotechnical systems principle of joint optimization. Second, human‐centred design principles should be explicitly considered in the design and procurement of new technologies. Third, organizationally oriented intervention strategies need to be supported by macro‐level policies. Fourth, there is a need to go beyond a focus on upskilling employees to help them adapt to technology change, to also focus on training employees, as well as other stakeholders, in work design and related topics. Finally, we identify directions for moving the field forward, including new research questions (e.g., job autonomy in the context of machine learning; understanding designers’ work design mindsets; investigating how job crafting applies to technology); a reorientation of methods (e.g., interdisciplinary, intervention studies); and steps for achieving practical impact.
Existing knowledge on remote working can be questioned in an extraordinary pandemic context. We conducted a mixed‐methods investigation to explore the challenges experienced by remote workers at this ...time, as well as what virtual work characteristics and individual differences affect these challenges. In Study 1, from semi‐structured interviews with Chinese employees working from home in the early days of the pandemic, we identified four key remote work challenges (work‐home interference, ineffective communication, procrastination, and loneliness), as well as four virtual work characteristics that affected the experience of these challenges (social support, job autonomy, monitoring, and workload) and one key individual difference factor (workers’ self‐discipline). In Study 2, using survey data from 522 employees working at home during the pandemic, we found that virtual work characteristics linked to worker's performance and well‐being via the experienced challenges. Specifically, social support was positively correlated with lower levels of all remote working challenges; job autonomy negatively related to loneliness; workload and monitoring both linked to higher work‐home interference; and workload additionally linked to lower procrastination. Self‐discipline was a significant moderator of several of these relationships. We discuss the implications of our research for the pandemic and beyond.
We review the literature on algorithmic management (AM) to bridge the gap between this emerging research area and the well-established theory and research on work design. First, we identify six ...management functions that algorithms are currently able to perform: monitoring, goal setting, performance management, scheduling, compensation, and job termination. Second, we show how each AM function affects key job resources (e.g., job autonomy, job complexity) and key job demands (e.g., workload, physical demands); with each of these resources and demands being important drivers of worker motivation and their well-being. Third, rejecting a deterministic perspective and drawing on sociotechnical systems theory, we outline key categories of variables that moderate the link between AM on work design, namely transparency, fairness and human influence (e.g., whether workers can control the system). We summarize our review in the form of a model to help guide research on AM, and to support practitioners and designers in the creation and maintenance of meaningful jobs in the era of algorithms.
•The article describes six management functions that AI-enabled algorithms are able to perform.•The influence of each AM function on work design characteristics is reviewed.•We review and discuss parameters likely to mitigate the effects of AM.
Delirium in older persons Inouye, Sharon K
New England journal of medicine/The New England journal of medicine,
03/2006, Volume:
354, Issue:
11
Journal Article
The authors aimed to clarify the similarities, differences, and interrelationships among multiple types of proactive behavior. Factor analyses of managers’ self-ratings (N = 622) showed concepts were ...distinct from each other but related via a higher-order structure. Three higher-order proactive behavior categories were identified—proactive work behavior, proactive strategic behavior, and proactive person-environment fit behavior—each corresponding to behaviors aimed at bringing about change in the internal organization (e.g., voice), the fit between the organization and its environment (e.g., issue selling), and the fit between the individual and the organization (e.g., feedback seeking), respectively. Further analyses on a subsample (n = 319) showed similarities and differences in the antecedents of these behaviors.
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