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Purpose – This study examines how managerial ability relates to employee productivity using a broad and generalized sample of US firms.

Methodology – This study employs a generalized sample of firm-years from all industries between 1980 and 2013.

Findings – By contending that managers differ in their ability to synchronize management processes and human capital in ways that enhance employee productivity, the authors provide evidence showing that more-able managers are associated with higher employee productivity. In addition, the authors find that high-ability managers moderate the negative relation between uncertain environments (high-technology firms) and employee productivity. Furthermore, the authors decompose employee productivity into employee efficiency components and employee cost components. The authors find a significant positive association between managerial ability and the employee efficiency component, but do not see a significant association between managerial ability and the employee cost component.

Value – The results contribute to the understanding of employee productivity by showing the relation between managerial ability and employee productivity.

To assess: (1) the prevalence of specific work practices that incorporate use of information and communication technology (ICT), (2) whether these practices are connected to employee distress or productivity via work extension or social network processes; (3) the implications of ICT-based work practices for the work/family interface.

We draw on the 2008 Pew Networked Workers data collected from a nationally representative sample of workers and use logistic regression methods to investigate links among use of specific ICT-based practices and increases in distress or productivity.

(1) Use of e-mail, instant messaging, texts, and social networking sites at work varies by demographic, organization, and job characteristics, and (2) ICT-based work extension, social network expansion, and connectivity to work colleagues are linked to increases in distress and productivity. Connecting with family or friends while at work can reduce the likelihood that an employee reports an increase in work stress.

Limitations include a cross-sectional design, age of the data, missing data, and measurement issues. Even with these limitations, there are few investigations drawing from national samples of employees that can assess work-related ICT use with this level of depth.

Findings point to technological innovation as an important factor influencing work extension and social network processes and connect this to changes in employee distress and productivity. The focus on productivity is especially important given the emphasis that previous research has placed on linking ICT use and employee distress.

The relationship between overqualified labor and productivity is questioned in this study. By overqualified labor, it is meant that the labor has more capabilities (education) than the qualifications required by the task. In some cases, like this case, the qualifications of the employees and the qualifications required by the job may not match, and their reflection on productivity may be positive or negative. In the studies conducted in developing countries, such as this study, which reveal the negative relationship of overqualified and low-skilled employees with productivity, unlike the situation in developed countries, has been tried to be explained in this research based on relative deprivation and person–work cohesion. Literature review method is used within the frames of given theories.

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.

This chapter discusses techniques for scheduling and organizing staff to meet guest demands and financial obligations. Key building blocks relevant to labor management are explained, such as productivity, fixed and variable labor hours, and the development of realistic performance standards to help organizations optimize productivity. As a next step, this chapter illuminates the importance of providing management labor standards and staffing models, which are key management tools. Lodging and food and beverage labor strategies are presented. Finally, effective planning of labor scheduling is also discussed.

Research on employee ownership has focused on questions of productivity, profitability, and employee attitudes and behavior, while there has been little attention to the most basic measure of performance: survival of the company. This study uses data on all U.S. public companies as of 1988, following them through 2001 to examine how employee ownership is related to survival. Estimation using Weibull survival models shows that companies with employee ownership stakes of 5% or more were only 76% as likely as firms without employee ownership to disappear in this period, compared both to all other public companies and to a closely matched sample without employee ownership. While employee ownership is associated with higher productivity, the greater survival rate of these companies is not explained by higher productivity, financial strength, or compensation flexibility. Rather, the higher survival is linked to their greater employment stability, suggesting that employee ownership companies may provide greater employment security as part of an effort to build a more cooperative culture, which can increase employee commitment, training, and willingness to make adjustments when economic difficulties occur. These results indicate that employee ownership may have an important role to play in increasing job and income security, and decreasing levels of unemployment. Given the fundamental importance of these issues for economic well being, further research on the role of employee ownership would be especially valuable.

Introduction: The Covid-19 pandemic wreaked havoc on the organisations in the form of increased job demands which manifested through increased workload, time pressure, etc. Similarly, stress and burnout engulfed the employees. Remote work became the new normal post-pandemic. Remote workers require more engagement. This has brought Artificial Intelligence (AI) to the forefront for engaging employees in the new normal.

Purpose: With limited studies on AI-enabled employee engagement in the new normal, this study investigates and proposes a conceptual framework of employee engagement in the context of AI and its impact on organisations.

Methodology: A systematic review and meta-synthesis method is undertaken. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes.

Findings: Since many organisations are turning to remote work post-pandemic and remote work requires more engagement, organisations are investing in AI to boost employee engagement in the new normal. Several antecedents of employee engagement such as quality of work life, diversity and inclusion, and communication are facilitated by AI. AI helps enhance the quality of work life by playing a major role in providing fair compensation, safe and healthy working conditions, immediate opportunity to use and develop human capacities, continued growth and security, work and total life space, and social relevance of work life. This has led to positive organisational outcomes like increased productivity, employee well-being, and decreased attrition rate. Furthermore, AI helps in measuring employee engagement. The various tools of AI, such as wearable technology, digital biomarker, neural network, data mining, data analytics, machine learning (ML), natural language processing (NLP), etc., have gone a long way in engaging employees in the new normal.

This chapter discusses how employee productivity may be enhanced by understanding the difference in fit between introverts and extroverts and their work environment. Research shows that neglecting to consider varied personality types of employees when designing characteristics of the physical workplace may hinder employee performance given that introverts and extroverts thrive in different work environments. Drawing upon the self-determination theory, the chapter makes a case on how allowing employees the autonomy to choose their work environment (work from home or work from office) will enhance their performance by empowering them in their preferred work setting. Finally, this chapter discusses strategies that may help accommodate how introverts’ and extroverts’ interface with the physical characteristics of their workplace, followed by a discussion on companies that are in the process of shifting to a hybrid work setting in acknowledgement of increased productivity because of work from home practices during the pandemic.