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This chapter utilizes a network perspective to show how the totality of one’s social connections impacts well-being by providing access to resources (e.g., information, feedback, and support) and placing limits on autonomy. We provide a brief review of basic network concepts and explain the importance of understanding how the networks in which leaders are embedded may enhance or diminish their well-being. Further, with this greater understanding, we describe how leaders can help promote the well-being of their employees. In particular, we focus on four key aspects of workplace networks that are likely to impact well-being: centrality, structural holes, embeddedness, and negative ties. We not only discuss practical implications for leaders’ well-being and the well-being of their employees, but also suggest directions for future research.

Scholars have argued that different forms of proactive behaviors (e.g., career initiative, feedback seeking, and taking charge) all involve employees’ self-initiated and future-focused efforts to bring about change in a situation (Parker et al., 2006). There are at least three important elements that define proactivity: future-focus, change-orientation, and self-initiation (Frese & Fay, 2001; Parker et al., 2006). First, proactive behavior is future-focused, which means that this action is targeted at anticipated problems or at opportunities with a long-term focus. Second, proactive behavior is change-oriented, involving not just reacting to a situation but being prepared to change that situation in order to bring about a different future. Third, and underpinning the prior two elements, proactive behavior is self-initiated, which means that employees initiate a proactive goal without being told to, or without requiring explicit instructions from supervisors. Accordingly, proactivity has also been conceived of as a process in which employees generate and implement, under their own direction, a proactive goal to bring about a different future (Bindl, Parker, Totterdell, & Hagger-Johnson, 2012; Frese & Fay, 2001; Grant & Ashford, 2008).

Proactivity is a type of goal-directed work behavior in which individuals actively take charge of situations to bring about future change in themselves or their organization. In this chapter, we draw on goal-regulation research to review conceptual and empirical evidence that elucidates some of the complex links of affective experience and employee proactivity. We identify the different ways in which affective experience influences different stages of proactivity, including employees’ efforts in setting a proactive goal (envisioning), preparing to implement their proactive goal (planning), implementing their proactive goal (enacting), and engaging in learning from their proactive goal process (reflecting). Overall, our review suggests an important, positive role of high-activated positive trait affectivity and moods in motivating proactivity across multiple goal stages, as compared to low-activated positive affectivity and moods. The role of negative affect is mixed, and likely depends on both its valence and the stage of proactivity that is being considered. We identify a lack of research on the role of discrete emotions for employee proactivity. We discuss future avenues for research, particularly the roles of intra- and inter-personal emotion regulation for proactivity and of affective embeddedness of proactive processes in the social environment of organizations.

Healthcare organizations require more proactive behaviors from nursing professionals. However, nurse managers’ proactivity has rarely been analyzed in the literature and little is known about the antecedents and consequences of their proactive behavior at work. This study examines the relationships between job characteristics (i.e. job autonomy and job variety), psychological empowerment, proactive work behavior and job effectiveness indicators (i.e. innovative work behavior, job performance). We tested a model in which psychological empowerment and proactive work behavior sequentially mediate the relationship between job characteristics and job effectiveness.

A cross-sectional study was conducted among nurse middle managers from a French hospital (N = 321). A hypothetical model was developed based on existing theory. Structural equation modeling was used to test the hypotheses.

Results show that psychological empowerment and proactive work behavior fully mediate the relationship between job characteristics and innovative work behavior, and partially mediate the relationship between job characteristics and job performance.

This study provides insights for understanding how job characteristics can contribute to fostering the proactivity of nurse middle managers and how their proactive work behavior can be positively related to innovative work behavior and job performance. Findings raise several implications for hospital administrators and upper management seeking new ways to enhance nurse middle managers' proactive work behavior and push further their effectiveness at work.

Interest in psychological resilience has grown rapidly in the last couple of decades (Britt, Sinclair, & McFadden, 2016; King & Rothstein, 2010; Youssef & Luthans, 2007). Psychological resilience occurs when a person can “recover, re-bound, bounce-back, adjust or even thrive” in the face of adversity (Garcia-Dia, DiNapoli, Garcia-Ona, Jakubowski, & O’flaherty, 2013, p. 264). As such, resilience can be conceptualized as a state-like and malleable construct that can be enhanced in response to stressful events (Kossek & Perrigino, 2016). It incorporates a dynamic process by which individuals use protective factors (internal and external) to positively adapt to stress over time (Luthar, Cicchetti, & Becker, 2000; Rutter, 1987). Building on the dual-pathway model of resilience, we integrate adaptive and proactive coping to the resilience development process and add a heretofore unexamined perspective to the ways in which resilience changes over time. We propose that resilience development trajectories differ depending on the type of adversity or stress experienced in combination with the use of adaptive and proactive coping. We outline the need for future longitudinal studies to examine these relationships and the implications for developing resilience interventions in the workplace.

Purpose: Work-related emotional exposure is a fundamental job characteristic in all kinds of service jobs from sales to law enforcement and corrections and from human services (nursing, counseling) to legal services. But formalized job descriptions are surprisingly silent about the emotional issues accompanying the jobs and roles service workers perform. This is surprising because formalized job descriptions are the foundation of job design, HR, and leadership practices that positively affect employee, customer, and organizational outcomes. Study Design/Methodology/Approach: This is a theory paper and review. To help clarify the emotional labor issues service employees confront, we explicate a model of emotional labor based on the attributes of jobs, roles, and professionalism. Findings: We define emotional labor as service work that exposes those who do such work to interactions with others that can arouse negative emotions. We propose that, while employing organizations define their jobs and employees craft their larger roles, professional norms and values also are a foundation for their emotional labor. Research Implications: We integrate this work-focused emotional labor model into the larger context in which such work occurs via theory and research on organizational climate. We suggest future research on this approach to understanding the antecedents and consequences of emotional labor work. We summarize the major research ideas of what should be the focus of such research and provide a hint about what an emotional labor climate scale might look like based on these ideas. Practical Implications: This chapter offers practical advice to HR managers about how to improve emotional labor. Social Implications: Better management of emotional labor can reduce employee stress and increase employee well-being. Originality/Value: This chapter develops an original model of emotional labor.

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.

Economic stressors such as job insecurity, job loss, unemployment, and underemployment cause severe difficulties for the workers affected, their families, organizations, and societies overall. Consequently, most past research has taken a thoroughly negative perspective on economic stress, addressing its diverse negative consequences and the ways that people try to cope with them. And even when following the advice provided by the scientific literature, people affected by economic stress will usually end up being off worse than they were before the onset of the stressor.

The current chapter pays credit to this perspective yet also tries to counterbalance it with an alternative one. While acknowledging the vast amount of literature outlining the negative consequences of economic stress on peoples’ well-being and careers, some literature also points at opportunities for a more positive perspective. More specifically, we argue that affected people can use a wide repertoire of behaviors for handling their current situation. Of particular promise in this regard is the concept of career adaptability, generally defined as the ability to change to fit into new career-related circumstances. Indeed, studies show that under certain conditions, career adaptability can facilitate people's search for not just any job but for a qualitatively better job, thus breaking through the spiral of losses usually associated with economic stress.

For the purpose of this argument, we link career adaptability to the concept of proactive coping, analyzing how and under which conditions career adaptability may present a contextualized form of proactive coping. We then address known personal and situational antecedents of career adaptability and show how career adaptability may be fostered and trained among different types of job seekers. We end this chapter with a discussion of open questions as well as directions for future research.

Privatisation is occurring at various levels within government in many countries around the world. So extensive is the reform programme that the term “re‐inventing government” has taken on a fashionable gloss.

The performance of three frequently used level set-based segmentation methods is examined for the purpose of defining features and boundary conditions for image-based Eulerian fluid and solid mechanics models. The focus of the evaluation is to identify an approach that produces the best geometric representation from a computational fluid/solid modeling point of view. In particular, extraction of geometries from a wide variety of imaging modalities and noise intensities, to supply to an immersed boundary approach, is targeted.

Two- and three-dimensional images, acquired from optical, X-ray CT, and ultrasound imaging modalities, are segmented with active contours, k-means, and adaptive clustering methods. Segmentation contours are converted to level sets and smoothed as necessary for use in fluid/solid simulations. Results produced by the three approaches are compared visually and with contrast ratio, signal-to-noise ratio, and contrast-to-noise ratio measures.

While the active contours method possesses built-in smoothing and regularization and produces continuous contours, the clustering methods (k-means and adaptive clustering) produce discrete (pixelated) contours that require smoothing using speckle-reducing anisotropic diffusion (SRAD). Thus, for images with high contrast and low to moderate noise, active contours are generally preferable. However, adaptive clustering is found to be far superior to the other two methods for images possessing high levels of noise and global intensity variations, due to its more sophisticated use of local pixel/voxel intensity statistics.

It is often difficult to know a priori which segmentation will perform best for a given image type, particularly when geometric modeling is the ultimate goal. This work offers insight to the algorithm selection process, as well as outlining a practical framework for generating useful geometric surfaces in an Eulerian setting.