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A new round of technological revolution is impacting various aspects of society. However, the importance of technology adoption in fostering firm innovation is underexplored. Therefore, this study aims to investigate whether robot adoption affects technological innovation and how human capital plays a role in this relationship in the era of circular economy.

Based on the robot adoption data from the International Federation of Robotics (IFR) and panel data of China's listed manufacturing firms from 2011 to 2020, this study uses regression models to test the impact of industrial robots on firm innovation and the mediating role of human capital.

The results demonstrate that the adoption of industrial robots can significantly promote high-quality innovation. Specifically, a one-unit increase in the number of robots per 100 employees is associated with a 13.52% increase in the number of invention patent applications in the following year. The mechanism tests show that industrial robots drive firm innovation by accumulating more highly educated workers and allocating more workers to R&D jobs. The findings are more significant for firms in industries with low market concentration, in labor-intensive industries and in regions with a shortage of high-end talent.

Due to data limitations, the sample of this study is limited to listed manufacturing firms, so the impact of industrial robots on promoting innovation may be underestimated. In addition, this study cannot observe the dynamic process of human capital management by firms after adopting robots.

The Chinese government should continue to promote the intelligent upgrading of the manufacturing industry and facilitate the promotion of robots in innovation. This implication can also be applied to developing countries that hope to learn from China's experience. In addition, this study emphasizes the role of human capital in the innovation-promoting process of robots. This highlights the importance of firms to strengthen employee education and training.

The adoption of industrial robots has profoundly influenced the production and lifestyle of human society. This study finds that the adoption of robots contributes to firm innovation, which helps people gain a deeper understanding of the positive impacts brought about by industrial intelligence.

By exploring the impact of industrial robots on firm innovation, this study offers crucial evidence at the firm level to comprehend the economic implications of robot adoption based on circular economy and human perspectives. Moreover, this study reveals that human capital is an important factor in how industrial robots affect firm innovation, providing an important complement to previous studies.

This paper offers a new perspective on the potential motivation for the adoption of employee ownership based on market power. Employee ownership may be linked to market power, either through contributing to firm growth that leads to market power or through industry leaders adopting employee ownership as part of rent sharing or a broader consolidation of market position. Both employee stock ownership plan (ESOP) coverage and product market concentration (PMC) have been increasing in the past two decades, providing a good opportunity to see if and how these are related.

The authors predict ESOP adoption and termination using multilevel regressions based on 2002–2012 firm- and industry-level data from the Census Bureau, Compustat and Form 5500 pension datasets.

The authors find that the top four firms in concentrated industries are more likely to adopt Employee Stock Ownership Plans (ESOPs), while having an ESOP does not predict entering the top four, apart from firm-level predictors. Tests indicate the first result does not reflect simple rent sharing with employees but instead appears to reflect an effort by firms to consolidate market power through the attraction and retention (or “locking in”) of industry talent. Other positive predictors of ESOPs include company size, being in a high-wage industry and having a defined benefit (DB) pension.

To better distinguish among hypotheses, it would be helpful to have firm-level data on managerial attitudes, strategies, networks and monopsony measures. Therefore, future research using such data would be highly useful and encouraged.

The paper includes implications for the potential usefulness of ESOPs in attracting and retaining talent and for the design of nuanced policy to encourage more broadly based sharing of economic rewards.

While prior research focuses on firm-level predictors of employee ownership, this study uses market concentration and other industry-level variables to predict the use of ESOPs. This study makes a unique contribution, broadening the current thinking on firm motives and environmental conditions predictive of firm ESOP adoption.

The purpose of the paper is to propose a shift from the ideal of immersion to a practice of “committed localism” in the ethnographic study of relational work in the post-bureaucratic and service-based economy.

The paper is based on ethnographic fieldwork following management consultancy projects in a hospital and a manufacturing company in Denmark. The approach was predicated on committed attention to the everyday of consultancy work activities and associated relational dynamics. This involved being present at the client sites, observing and listening in concrete situations of interaction and engaging in conversations with the multiple actors involved, both external consultants and members of client organisations.

The paper shows how “committed localism” was practiced in the ethnographic study of management consultancy as it is relationally accomplished in and through concrete situations of interaction between consultants and different actors in client organizations and the associated meaning production of the involved actors.

The paper develops the notion of “committed localism”, originally introduced by George Marcus, into a methodological concept to challenge the conventional ideal of immersion as the hallmark of “proper” ethnography. Such a shift is particularly pertinent for the ethnographic study of relational processes involving multiple actors occupying different positions in the temporary social spaces of contemporary workplaces.

The purpose of this study is to explore and prioritize the factors that determine the social insurance contribution of unorganized workers.

A two-stage procedure was adopted to recognize and prioritize factors influencing the social insurance participation of unorganized workers: first, crucial factors influencing unorganized workers’ contribution towards social insurance were identified by employing exploratory factor analysis, and in the second phase, the fuzzy analytical hierarchal process was applied to rank the specified criteria and then sub-criteria by assigning weights.

Four broad factors were identified, namely, economic, political, operational and socio-psychological, that significantly influence unorganized workers’ contribution towards social insurance. Later findings revealed that the prime influencer of unorganized workers’ contribution is employment contracts followed by average earnings, delivery of quality services, eligibility and accessibility.

The research findings are feasible as the basic propositions are based on real-world scenario. The identification and ranking of factors have the potential to be used as a checklist for policymakers when designing pension and social insurance for unorganized workers. If it is not possible to consider all, the criteria and sub-criteria assigned upper rank can be given priority to extend pension coverage for a large group of working poor.

The key factors driving social insurance contributions have been highlighted by studying the stakeholders’ perceptions at a micro level. By comprehending the challenges, there is a possibility of covering a large section of the working poor into social insurance coverage.

This paper is believed to be one of its kinds to acknowledge a combination of factors that determine the contribution of unorganized workers to social insurance. This study is an empirical investigation to prioritize the essential drivers of social insurance participation by low-income cohorts in the context of emerging countries. The present approach of employing fuzzy logic has also very limited use in social insurance literature yet.

This study aims to explore how individual-level and organizational-level factors interact to influence pay information (PI) seeking and PI sharing preferences in PI conversations (i.e. the face-to-face communications context). The authors examine how an individual’s judgment of their pay relative to others – or pay equity perception – affects their PI seeking and PI sharing preferences and how those relationships are affected by organizationally created pay transparency policies and pay transparency practices.

Using a 2 × 2 × 2 experimental design on the MTurk platform, the authors used a scenario-based prompt method to manipulate employee perceptions of pay equity and organizational pay transparency and tested those effects on employee pay disclosure preferences. The authors consider both pay policy and pay practice dimensions of pay transparency and both PI seeking and PI sharing dimensions of pay disclosure preferences. The final sample had 597 participants.

The authors find employees’ pay equity perceptions are negatively related to PI seeking behaviors and are even more so when organizations have restrictive pay transparency policies. Also, both pay transparency policy and pay transparency practice increase PI sharing preferences.

The authors provide insight into how individual perceptions drive pay disclosure motivations and the role of organizational policy and practice in influencing pay disclosure preferences within PI conversations. The authors provide insight into the antecedents that shape pay disclosure preferences, which lead to a both PI conversations among coworkers and an increase in one’s pay understanding. This study shows the contextual nature of PI seeking and PI sharing preferences, which are a motivational antecedent to pay-related sensemaking behaviors.

The field of broad-based employee ownership within corporations is a specific application of the foundational topic of property ownership. It is situated at the intersection of a broad range of scholarly disciplines including economics, law, finance and management. Each discipline contributes vocabulary and distinctions describing this field. That broad spectrum of disciplinary inquiry is a strength but it also lends a “ships passing in the night” quality to discussions of employee ownership. This paper attempts to unravel the narrative diversity surrounding this topic. Four meanings of ownership are introduced. Those meanings are in turn embedded within two abstract models of the corporation; the corporation as property and the corporation as social institution.

There is no experimental design The paper presents a conceptual overview and introduces a taxonomy of four meanings and two models of ownership.

Four meanings of ownership are introduced. The meanings are ownership as compensation, investment, retirement and membership. Those meanings are in turn embedded within two abstract models of the corporation; the corporation as property and the corporation as social institution.

No hypotheses are advanced. This is not a research paper. A conceptual overview that makes use of taxonomy of meanings and models is introduced to help clarify confusions abundant in the field of employee ownership. Readers may differ with the categories of meanings and models introduced in this conceptual overview.

The ambition of the paper is to describe the various meanings and models of employee ownership presently in use in both academic and applied settings. It is not necessary or desirable to assert the primacy of a single meaning or model in order to achieve progress. The analysis provided here surfaces a range of assumptions about ownership that have heretofore been implicit in both scholarship and in practice. Making those assumptions explicit should prove useful to both scholars and practitioners of employee ownership.

The concept of employee ownership enjoys a relatively broad appeal with the public. Among the academic disciplines that have trained their lights upon it, a more mixed reception prevails. Much of the academic and policy controversy derives from confusion about the nature and structure of employee ownership. This paper attempts to address that confusion by presenting a taxonomy of meanings and models that may prove useful for future research.

This study is one of the first efforts to comprehinsively map the various meanings and models of broad-based employee ownership.

Emotional labour (EL) is a complex phenomenon that has received increasing attention in recent years due to its impact on employee’s well-being and job satisfaction. For a comprehensive understanding of the evolving field of EL, it is important to extract different research trends, new developments and research directions in this domain. The study aims to reveal 13 prominent research topics based on the topic modelling analysis.

Using latent Dirichlet allocation (LDA) method, topic modelling is done on 1,462 journal research papers published between 1999 and 2023, extracted from the Scopus database using the keyword “EL”.

The analysis identifies several emerging trends in EL research, including emotional regulation training and job redesign. Similarly, the topics like EL strategies, cultural differences and EL, EL in hospitality, organizational support and EL, EL and gender and psychological well-being of nursing workers are popular research topics in this domain.

The findings provide valuable insights into the current state of EL research and can provide a direction for future research as well as assist organizations to design practices aimed at improving working conditions for employees in various industries.

Topic modelling on emotional labor is done. The paper identifies specific topics or clusters related to emotional labor, quantifies these topics using topic modeling, adds empirical rigor, and allows for comparisons across different contexts.

This paper explores the effects of fiscal policy in an economy with reciprocity in labor relations and fair wages, consumption taxes and a common income tax rate in place.

To this end, a dynamic general-equilibrium model with government sector is calibrated to Bulgarian data (1999–2018). Two regimes are compared and contrasted – the exogenous (observed) vs optimal policy (Ramsey) case. The focus of the paper is on the relative importance of consumption vs income taxation, as well as on the provision of utility-enhancing public services. Bulgarian economy was chosen as a case study due to its major dependence on consumption taxation as a source of tax revenue.

(1) The optimal steady-state income tax rate is zero; (2) the benevolent Ramsey planner provides the optimal amount of the utility-enhancing public services, which are now three times lower; (3) the optimal steady-state consumption tax needed to finance the optimal level of government spending is 18:7%.

This is the first study on optimal fiscal policy with reciprocity in labor relations.

This study aims to conduct a systematic literature review and bibliometric analysis on the topic of digital labour. The study also identifies the future research directions for the topic.

In total, 118 research papers were identified and reviewed from 11 established research databases and A*, A and B category journals from the ABDC journal list. The papers covered a timespan between 2006 and 2023. Bibliometric analysis was conducted to identify key research hotspots.

The emergent themes and associated sub-themes related to digital labour were identified from the literature. The paper found three significant themes that include digital labour platform, gig economy and productivity. This study also acts as a platform to initiate further research in this field for academicians, scholars, industry practitioners and policymakers. The future research scope in the topic is also presented.

The present study is unique in its nature as it approaches the topic of digital labour from all relevant perspectives.

The health of an economy is heavily dependent on the productivity of the economy's major industries including construction. While most macro-measures of productivity in the USA construction industry indicate a decline, corresponding studies at the individual task level indicate an increase in productivity. Therefore, this paper aims to identify areas where productivity challenges exist and thus provide recommendations for improvement in the construction industry.

A model that relates the way construction projects are executed with the sources of data that inform productivity analyses is developed and presented. This effort/value-flow model informs the data analysis that is performed to determine productivity trends for management and field labor. Further analysis for field labor productivity using field data and management productivity was separately conducted. Management productivity was particularly difficult to gauge, resulting in the use of surrogate measures.

It was observed that while both field labor and management productivities at the industry level have been decreasing, the decrease in management productivity was five times that of field labor productivity. A similar trend was observed for management productivity at the project level.

The primary contribution of this paper to the body of knowledge and industry is the introduction of a holistic analysis of USA construction productivity. Recommendations to improve management productivity include the use of technology, especially project management software.