Organization and hierarchies

The IT revolution has had dramatic effects on jobs and the labor market. Many routine manual and cognitive tasks have been automated, replacing workers. By contrast, new technologies complement and create new non-routine cognitive and social tasks, making work in such tasks more productive, and creating new jobs. This has polarized labor markets: while low-skill jobs stagnated, there are fewer and lower-paid jobs for middle-skill workers, and higher pay for high-skill workers, increasing wage inequality. Advances in AI may accelerate computers’ ability to perform cognitive tasks, heightening concerns about future automation of even high-skill jobs.

A wide range of high involvement management practices, such as self-managed teams, incentive pay schemes, and employer-provided training have been shown to boost firms’ productivity and financial performance. However, less is known about whether these practices, which give employees more discretion and autonomy, also benefit employees. Recent empirical research that aims to account for employee self-selection into firms that apply these practices finds generally positive effects on employee health and other important aspects of well-being at work. However, the effects can differ in different institutional settings.

Family firms are ubiquitous in most countries. The differences in objectives, governance, and management styles between those firms and their non-family counterparts have several implications for the workforce, which scholars have only recently started to investigate. Family firms offer greater job security, employ different management practices, have a comparative advantage to avoid conflicts when employment relations are more hostile, and provide insurance to workers through implicit contracts when labor market regulation is limited. But all this also comes at a cost.

Should one expect a worker’s productivity, and thus wage, to depend on the productivity of his/her co-workers in the same workplace, even if the workers carry out completely independent tasks and do not engage in team work? This may well be the case because social interaction among co-workers can lead to productivity spillover through knowledge spillover or peer pressure. The available empirical evidence suggests that, due to such peer effects, co-worker productivity positively affects a worker’s own productivity and wage, particularly in lower-skilled occupations.

Higher inequality reduces capital accumulation and increases the informal economy, which creates additional employment opportunities for low-skilled and deprived people. As a result, informal employment leads to beneficial effects on income distribution by providing sources of income for unemployed and marginalized workers. Despite this positive feedback, informality raises problems for public finances and biases official statistics, reducing the effectiveness of redistributive policies. Policymakers should consider the links between inequality and informality because badly designed informality-reducing policies may increase inequality.

The gender wage gap is largely due to men and women holding different kinds of jobs. This job segregation is partly driven by gender differences in careers in corporate hierarchies. Research has shown that the careers of men and women begin to diverge immediately upon entry into the labor market and that subsequent career progress exacerbates the divergence. This divergence of career progress explains a large part of the gender wage gap. Understanding how and why the careers of men and women differ is necessary to design effective policies that can reduce the gender differences in hierarchies.