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This paper explores intergenerational perceptions of kindness in the context of Black Lives Matter (BLM) movement and the COVID-19 global pandemic. The purpose of this exploratory study is to investigate perceptions of kindness in the context of traumatic events and its potential value in authentic allyship in organizational environments.

Authors interviewed 65 individuals (31 self-identifying as non-racialized and 34 self-identifying as Black, Indigenous and People of Colour aka BIPOC). Participants included Generation Z (Gen Z; born between 1997–2012/5) and Generation Y (Gen Y; also referred to as Millennials, born between 1981 and 1994/6) across North American, Europe and Africa. Millennials currently represent the largest generation in the workplace and are taking on leadership roles, whereas Gen Z are emerging entrants into the workplace and new organizational actors.

The paper offers insights into how to talk about BLM in organizations, how to engage in authentic vs performative allyship and how to support BIPOC in the workplace. The study also reveals the durability of systemic racism in generations that may be otherwise considered more enlightened and progressive.

The authors expand on kindness literature and contribute theoretically and methodologically to critical race theory and intertextual analysis in race scholarship.

The study contributes to the understanding of how pro-social behaviours like kindness (with intention) can contribute to a more inclusive discourse on racism and authentic allyship.

Authors reveal the potential for kindness as a pro-social behaviour in organizational environments to inform authentic allyship praxis.

The study aims to investigate the usage of diversity and inclusion (D&I) signals in communications for employer branding through digital channels made by European companies.

A quali-quantitative content analysis approach was employed to detect the usage of D&I signals of the top 43 European companies ranked in the 2021 Refinitiv Diversity and Inclusion index. These signals were organized according to Plummer's Big 8 diversity's dimensions. A correlation analysis was conducted to verify a relationship between D&I initiatives and digital communication for employer branding on corporate websites and LinkedIn. Descriptive statistics were used to analyze the D&I dimensions' pervasiveness in digital communications and relevance on LinkedIn.

The results show that the correlation exists only between D&I initiatives and communication on the corporate website, while LinkedIn is still underused in this field. The most pervasive and relevant D&I dimensions for European companies are “Gender” and “Sexual Orientation”.

This paper enriches employer branding research by providing original insights into the use of D&I dimensions in digital communications.

While the economic literature mostly tackled discrimination looking at labour costs, this work focuses on its relation to labour productivity, arguing that discrimination may worsen the performance of female employees. In this view, it represents a source of allocative inefficiency, which contributes to reducing output.

Female discrimination is both a social and an economic problem. In social terms, consolidated gender stereotypes impose constraints on women’s behaviour, worsening their overall well-being. In economic terms, women face generally worse labour market conditions. Using long-run Italian data spanning from 1861 to 2009, the authors propose a novel measure of female discrimination based on the observed frequency of discriminating epithets. Following social capital theory, the authors distinguish between structural and voluntary discrimination, and use Data Envelopment Analysis for time series data to assess the extent of inefficiency that each component of discrimination induces in the production process.

The results draw the trajectory of female discrimination in Italy and provide evidence in favour of the idea that female discrimination reduces productive efficiency. In particular, the structural component of female discrimination, although less sizeable than the voluntary component, plays a major role, especially in recent years, where more stringent beauty standards fuel looks-based discrimination.

The contribution of this work is twofold. First, based on contributions from social sciences different from economics, it proposes a novel theoretical framework that explores the effect of discriminatory language on labour productivity. Second, it introduces a novel and direct measure of female discrimination at the country level, based on the bidirectional link between language and culture. The indicator is easily understood by policymakers and may be used to evaluate the effectiveness of anti-discrimination policies.