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The author develops a bilateral Nash bargaining model under value uncertainty and private/asymmetric information, combining ideas from axiomatic and strategic bargaining theory. The solution to the model leads organically to a two-tier stochastic frontier (2TSF) setup with intra-error dependence. The author presents two different statistical specifications to estimate the model, one that accounts for regressor endogeneity using copulas, the other able to identify separately the bargaining power from the private information effects at the individual level. An empirical application using a matched employer–employee data set (MEEDS) from Zambia and a second using another one from Ghana showcase the applied potential of the approach.

The Covid-19 pandemic appears to have engendered heterogeneous effects on individuals’ labour market prospects. This paper focuses on two possible sources of a heterogeneous exposition to labour market risks associated with the pandemic outbreak: the routine task content of the job and the teleworkability. To evaluate whether these dimensions played a crucial role in amplifying employment and wage gaps among workers, we focus on the case of Italy, the first EU country hit by Covid-19.

Investigating the actual effect of the pandemic on workers employed in jobs with a different degree of teleworkability and routinization, using real microdata, is currently unfeasible. This is because longitudinal datasets collecting annual earnings and the detailed information about occupations needed to capture a job’s routine task content and teleworkability are not presently available. To simulate changes in the wage distribution for the year 2020, we have employed a static microsimulation model. This model is built on data from the Statistics on Income and Living Conditions (IT-SILC) survey, which has been enriched with administrative data and aligned with monthly observed labour market dynamics by industries and regions.

We measure the degree of job teleworkability and routinization with the teleworkability index (TWA) built by Sostero et al. (2020) and the routine-task-intensity index (RTI) developed by Cirillo et al. (2021), respectively. We find that RTI and TWA are negatively and positively associated with wages, respectively, and they are correlated with higher (respectively lower) risks of a large labour income drop due to the pandemic. Our evidence suggests that labour market risks related to the pandemic – and the associated new types of earnings inequality that may derive – are shaped by various factors (including TWA and RTI) instead of by a single dimension. However, differences in income drop risks for workers in jobs with varying degrees of teleworkability and routinization largely reduce when income support measures are considered, thus suggesting that the redistributive effect of the emergency measures implemented by the Italian government was rather effective.

No studies have so far investigated the effect of the pandemic on workers employed in jobs with a different degree of routinization and teleworkability in Italy. We thus investigate whether income drop risks in Italy in 2020 – before and after income support measures – differed among workers whose jobs are characterized by a different degree of RTI and TWA.

The purpose of this study to improve the efficiency of customer acquisition and retention through the design of salary information disclosure mechanism.

This study develops a stylized game-theoretic model of delegating customer acquisition and retention, focusing on how firms choose delegation and wage information disclosure strategy.

The results confirm the necessity for enterprises to disclose salary information. When sales agents are risk neutral, firms should choose multi-agent (MA) delegation and disclose their wages. However, when agents are risk averse, firms may disclose the wages of acquisition agents or both agents in MA delegation, depending on the uncertainty of the retention market.

This paper contributes to the literature on delegation of customer acquisition and retention and demonstrates that salary disclosure can be used as a supplement to the incentive mechanism.

This paper analyzes how a national social enterprise policy encourages the social missions of social enterprises and uncovers the relationships between social enterprise governance and labor equity, an area that has been rarely studied in nonprofit governance studies.

The study analyzes the effects of four legal requirements for work-integrated social enterprises (WISEs) codified by the Social Enterprises Promotion Act (SEPA, 2007) in South Korea. Then, it relies on panel regression analysis (2020–2022) to examine how the compositions of the governance of WISEs are related to their hiring and wage equity.

The institutional arrangements required by SEPA have resulted in positive social impacts for most WISEs. However, the results of regression models show that individual participant groups in the WISE governance achieved mixed results depending on the labor issue.

Generally, this research explores the concept of diversity and its utility in nonprofit governance, with a particular focus on targeted diversity policies, demonstrating that governance arrangements influence the success of these policies.

The findings bring new insights for policymakers about “altruistic economic entities.” For practitioners in social enterprises, the results of the regression models underscore the importance of understanding the participant composition of decision-making meetings.

This study sheds light on labor equity, which government-certified social enterprises should achieve from the perspective of nonprofit governance.

The efficient functioning of the labour market is an important factor that affects long-term economic growth. The interaction of supply and demand on the labour market is influenced by institutions which change the motivations and behaviour of economic actors and, ultimately, the flexibility of the labour market. There is no consensus in the literature on the effect these institutions have on labour market outcomes. This chapter focuses on a set of selective labour market institutions (employment protection legislation, minimum wages, unemployment benefits, labour taxation, trade unions and active labour market policies), compares their relevance to other European Union (EU) countries and through the lens of the Beveridge curve it tries to evaluate their impact on effectiveness of the Czech labour market. The international comparison shows that most of the considered institutions/regulations do not reach such importance (except employment protection legislation) and that they have a significant negative effect on labour market outcomes. Even the model of the Beveridge curve does not indicate that the Czech labour market is characterised by rigidities that would impair the effectiveness of a matching process at the aggregate level.

The purpose of this study is to empirically examine how individuals’ hybrid entrepreneurial venturing activities (HEVA) influence key characteristics associated with one’s wage work, namely creativity and job satisfaction.

Through a cross-sectional self-administered survey design, data were gathered from 465 US-based useable responses via Amazon Mechanical Turk and analyzed using structural equation modeling (SEM).

Findings show individuals reporting higher levels of HEVA – such as creating, founding, starting or running – tend to also exhibit higher levels of creativity and job satisfaction in their workplaces. Findings further reveal that income negatively moderates the relationship between creativity and wage work job satisfaction.

By providing a better understanding of how engaging in HEVA can impact creativity and job satisfaction, this study has important implications for (1) managers seeking to influence key employee outcomes and (2) employees considering such entrepreneurial activities.

This paper adds to the growing scholarly and practitioner interest in hybrid entrepreneurship and its outcomes. Specifically, the paper adds new insights regarding how engaging in HEVA can influence individual skills (i.e. creativity) or organizational goals (i.e. employee job satisfaction). In doing so, the paper also uses insights from the intrinsic/extrinsic motivation literature to suggest how extrinsic motivators (such as income) can interact with intrinsically motivated behaviors (such as creativity) in influencing employee outcomes in wage work. Finally, the paper contributes to the growing interest in applying the empowerment perspective within entrepreneurship research by exploring where and how empowerment may occur.

The polarisation of employment is a specific structural change in the labour market when the share of high and low-skilled workers increases and, simultaneously, the share of middle-skilled workers decreases. The chapter analyses the effect of polarisation in Czechia and other Central European countries and describes how employment has changed from the perspective of skills regarding gender. The analysis is based on observing the changes in the share of high, middle and low-skilled workers evaluated on the basis of occupational classification over time. Results imply (with a few exceptions) polarisation of employment across all countries during the period between 1998 and 2021, even if we consider the distinction between males and females. Results confirm that employment polarisation has also become a prevalent phenomenon in Central European countries during the last two decades. Finally, this chapter also summarises the economic motivation for studying polarisation phenomenon.

The purpose of this paper is to study the spillover effects of foreign direct investment (FDI) on skilled–unskilled wage inequality in the Indian manufacturing industries.

The authors show theoretically with a model of spillover that if foreign firms (receiving FDI) have a negative spillover effect on domestic firms (not receiving FDI), then the level of capital and skilled workers in the domestic firms falls down. Consequently, the authors conduct an empirical analysis by using system GMM estimation technique on the firm-level data of the Indian organised manufacturing sector.

The authors show that wage inequality worsens when there is negative spillover effects like competition spillover or skill spillover effect of FDI in India.

To the best of the authors’ knowledge, this is the first attempt to measure the various spillover effects of FDI on the wage inequality in the Indian manufacturing industries by using firm-level data.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.