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The question of “what works?” for organizational diversity and inclusion (D&I) has captivated practitioners and researchers for some time, but there is a lack of unifying knowledge on what interventions are effective. The purpose of this study was to investigate the impact, outcomes and quality of evidence relating to interventions used by organizations for workplace D&I to inform what works in practice and where there are still evidence gaps.

This multidisciplinary meta-review – a systematic review of reviews – summarized the effects of various practices, policies, programs and initiatives across dimensions of diversity and disciplines.

From 37 reviews over 13 years, we identified 12 categories of interventions (e.g. diversity training, de-biasing selection procedures and workplace accommodations) mapped to 22 outcomes. Workplace accommodations and job training were linked with positive outcomes in the age and disability dimensions of diversity. Diversity training was associated with comparatively higher-quality evidence, albeit its effects were largely limited to awareness and learning outcomes. The literature on recruitment, leave and compensation policies reported some mixed effects on D&I.

This meta-review provides a synthesis of the current state of evidence across multiple disciplines and diversity dimensions to guide future research and practical D&I actions. It has implications for research (e.g. greater attention needed for interventions to improve inclusion) and practice (e.g. setting realistic expectations about what change organizations can expect to achieve).

Urbanization in Sub-Saharan Africa (SSA) has seen rapid growth in recent decades, resulting in significant changes to the region’s landscape and ecosystems, including wetlands. This study aims to examine the causes and effects of urbanization on wetlands. This study lays down the need to intervene to protect and restore wetlands in SSA.

The methodology used was a systematic literature review, supported by the VOSviewer software and the preferred reporting items for systematic reviews criteria, with data analyzed using abductive reasoning and content analysis.

This study found that a complex web of factors reflecting regional and global trends propels urbanization in Sub-Saharan Africa. Urbanization is driven by population growth, economic development, infrastructure development and migration, leading to significant changes in the region’s ecosystems. The key effects include biodiversity loss, flooding and altered hydrology, water quality degradation and loss of livelihood. The study identifies sprawling urbanization, densification, informal settlement, fragmented urbanization and planned urban expansion as patterns of urbanization affecting wetlands.

This study offers practical recommendations for policymakers, planners and local communities to ensure long-term urban sustainability while conserving wetland ecosystems in SSA. Thus, there is a need for continued cooperation, technology and discovery sharing, and cooperative research funding initiatives with the global community. It also commends implementing green infrastructure, like artificial wetlands, to mitigate the adverse environmental effects and promote sustainable development.

This study used VOSviewer software visualization to uncover structural trends and research frontiers, focusing on wetland conservation in the context of urban areas in SSA, where rapid urbanization adds to wetland degradation.

This paper aims to provide a historical perspective on the beginnings of racial inequality by analysing the changing citizenship identity of migrant Indian Tamils in post-colonial Sri Lanka (1948–2003), and the role accounting plays in constructing them as stateless non-citizens.

The paper presents a genealogy of the biopolitical governing of migrant Indian Tamils, drawing on government archives, census data and interviews with retired government officials.

This study shows how accounting plays a supplementary role in providing the state with an account of its population through practices of naming, counting and valuing. These practices also create Indian Tamil migrants as new objects of knowledge using their non-citizenship and racial identity. Government accounting of the everyday life (bios) of these non-citizens (births, deaths, education and wage rates) provided yearly evidence of the social and economic disparities between Sri Lankan citizens and the stateless Indian Tamils who lived predominantly on plantation estates.

This paper enhances our understanding of how current racial dynamics are linked to historical economic, social and political forces and shows the long-term consequences of racial inequality related to statelessness.

This study aims to examine the intricate relationship between Chile’s coastal communities and the increasing effects of climate change, with a focus on Caleta Lenga as a case study. Chile’s extensive coastline is closely linked to the country’s economic well-being and the livelihoods of millions of people. The mounting threats posed by climate change require immediate action. To strengthen resilience and reduce risk, adaptive measures are imperative. However, effective adaptation is hindered by numerous barriers, including adaptive capacity and governance challenges.

This study uses a case study approach, which centres on Caleta Lenga’s unique socio-environmental and demographic context. This study used semi-structured interviews and historical reconstruction to reveal a socio-economic and environmental narrative that was influenced by significant events and transitions.

The residents’ perception of climate change impacts was viewed through the lens of industrial activities and changing weather patterns. This study emphasizes the community’s resilience in the face of changing socio-environmental dynamics. It highlights the importance of informed decision-making, community cooperation and the preservation of ancestral knowledge in promoting adaptive strategies based on community solidarity and collective decision-making. The findings underscore the need for effective adaptation measures that address both adaptive capacity and governance challenges to bolster climate resilience in vulnerable coastal communities.

The findings underscore the need for effective adaptation measures that address both adaptive capacity and governance challenges to bolster climate resilience in vulnerable coastal communities.

Automated social media messaging tactics can undermine trust in health institutions and public health advice. As such, we examine automated software programs (ASPs) and social bots in the Twitter anti-vaccine discourse before and after the release of COVID-19 vaccines.

We compare two Twitter datasets comprising user accounts and associated English-language tweets featuring the keywords “#antivaxx” or “anti-vaxx.” The first dataset, from 2018 (pre-COVID vaccine), includes 3,154 user accounts and 6,380 tweets. The second comprises 327,067 accounts and 545,268 tweets published during the 12 months following December 1, 2020 (post-COVID vaccine). Using Information Laundering Theory (ILT), the datasets were examined manually and through user analytics and machine learning to identify activity, visibility, verification status, vaccine position, and ASP or bot technology use.

The post-COVID vaccine dataset showed an increase in highly probable bot accounts (31.09%) and anti-vaccine accounts. However, both datasets were dominated by pro-vaccine accounts; most highly active (59%) and highly visible (50%) accounts classified as probable bots were pro-vaccine.

This research is the first to compare bot behaviors in the “#antivaxx” discourse before and after the release of COVID-19 vaccines. The prevalence of mostly benevolent probable bot accounts suggests a potential overstatement of the threat posed by anti-vaccine accounts using ASPs or bot technologies. By highlighting bots as intermediaries that disseminate both pro- and anti-vaccine content, we extend ILT by identifying a benevolent variant and offering insights into bots as “pathways” to generating mainstream information.

Incumbent organizations are being challenged to carry out the transformative change induced by digital transformation. They often address the challenge by creating diverse, cross-functional teams called breakthrough teams to imagine, plan and execute the change. The teams operate under two opposing pressures: the team’s members must undertake their daily work in the exploitative environment of the incumbent and engage in bold explorations dictated by the team’s change mandate. To address the poor understanding of what makes such teams effective in such organizations, we ask: What team-level factors influence the extent to which breakthrough teams effectively pursue their radical mandate?

We hypothesize the effect of a team-level factor called “relational climate” – the team’s vision, compassion and relational energy – on team performance defined as innovating radically innovation and engaging in effective processes. We posit that the effect is fully mediated by the team’s two boundary mechanisms – spanning and buffering – which define how the team interacts with its environment. We validate the research model using survey data from 184 teams in 90 organizations engaged in digital transformation.

We find that teams’ boundary mechanisms fully mediate the effect of the relational climate on radical innovation and process performance. Selective incentives and higher-level information technology (IT) capabilities also have a significant effect on radical innovation.

This study is motivated by the need for scholars and practitioners alike to better understand how to create and manage teams that have radical change mandates. Managers currently are pushed to explore high-growth, high-risk change by establishing cross-functional teams to accomplish such mandates. Our study suggests a two-pronged approach to improve the performance of these teams: (1) cultivate and sustain a strong intra-team climate, enabling a radical vision to emerge, and (2) apply principles to manage team boundaries by determining what needs to be protected from the environment and what needs to be opened to it.

To date, research has focused on organizational and individual-level antecedents of radical change, while team-level studies have focused on marketing and new product development (NPD) teams, which are devoid of radical mandates. The study addresses incumbent firms’ challenge of managing the radical innovation created by digital transformation and demonstrates the significance of three team-level factors on team performance: relational climate, buffering and spanning. To our knowledge, our theoretical model is the first to draw on these constructs to explain team-level radical innovation outcomes.

A debate on whether new ventures should be supported with public funding is taking place. Adopting a position on this discussion requires rigorous assessments of implemented programs. However, the few existing efforts have mostly focused on regional cases in developed countries. To fill this gap, this paper aims to measure the effects of a regional acceleration program in a developing country (Medellin, Colombia).

The economic notion of capabilities is used to frame the analysis of firm characteristics and productivity, which are hypothesized to be heterogeneous within the program. To test these relationships, propensity score matching is used in a sample of 60 treatment and 16,994 control firms.

This paper finds that treated firms had higher revenue than propensity score-matched controls on average, confirming a positive impact on growth measures. However, such financial growth is mostly observed in service firms rather than other economic sectors.

Further evaluations, with a longer period and using more outcome variables, are suggested in the context of similar publicly funded programs in developing countries.

These findings tip the balance in favor of the literature suggesting supportive programs for high-growth firms as opposed to everyday entrepreneurship. This is an insight, especially under the context of an emerging economy, which has scarce funding to support entrepreneurship.

This paper analyses Rwandan farmers’ perceptions of historical drivers of landscape vulnerability (past), current livelihood assets (present) and existing or potential capacities (future) to increase resilience to drought. The specific focus is on linking experiences from the past and present with ideas for a drought-resilient future. It explores how farmers' perceptions of past droughts and future visioning can contribute to rural development policy and multi-level collaborations.

This study was conducted in Bugesera, a drought-prone district in south-eastern Rwanda. Empirical data was collected through participatory observation, semi-structured interviews and focus groups. The analytical points of departure are based on sustainable landscapes and livelihood approaches, combining spatial and temporal perspectives on challenges and opportunities identified by farmers’ communities in addressing droughts.

All respondents had a high awareness of the impact of droughts. Perceived drivers of landscape change include historical climate events, such as droughts and floods, immigration and agricultural expansion, which have led to demographic pressure on land, deforestation and infringement on natural resources. Factors enhancing resilience capacities include access to diversified sources of livelihood, knowledge of appropriate irrigation techniques and availability of safety nets and credits. Furthermore, farmers identified collaborative opportunities as important for resilience capacity, including peer learning, and sharing best practices through knowledge exchange and on-field training. In addition, farmers brought up the need for innovative institutions that can facilitate access to markets and enable collaboration between different agricultural sectors.

This study analyses farmers’ perceptions of resilience capacities to droughts through a spatiotemporal lens of past droughts, present capital and future challenges by linking scales, knowledge and human–environment nexus. This paper contributes to the knowledge of climate adaptation in Rwanda and to discussions about smallholder farming in the literature on climate change adaptation.

The objective of the study was to explore which COVID-19 teaching and learning methods, that enhanced accounting students' learning experience, should be applied at a residential university after the pandemic.

A qualitative exploratory approach within an interpretive paradigm was applied. A total of 15 semi-structured interviews were conducted with accounting students and the data were analysed using thematic analysis.

This study shows how pre-COVID-19 accounting education can be adapted by learning from the teaching and learning experiences gained during the pandemic and that there are various teaching and learning methods that can be applied in the post-COVID-19 period to enhance students' learning experience. These blended active teaching and learning methods include: the flipped classroom, discussion forum, electronic platform (to ask questions during class), key-concept videos and summary videos. Introducing these teaching and learning methods comes with challenges and the study provides recommendations on how to overcome foreseen obstacles. The contribution of the research is that it informs accounting lecturers' decision-making regarding which teaching and learning methods to apply in the aftermath of COVID-19 to enhance students' learning experience.

It is uncertain which teaching and learning methods employed during the COVID-19 pandemic should be applied at a residential university to enhance the teaching and learning experience after the pandemic. Accounting lecturers might return to their pre-COVID-19 modus operandi, and the valuable experience gained during the pandemic will have served no purpose.

This study aims to reexamine the moderating role of human capital on the effect of extended financial inclusion (FI) for entrepreneurship, using data from the Global Entrepreneurship Monitor for a sample of 42 countries from 2006 to 2017.

This study distinguished between actual and perceived human capital. Actual human capital was measured through formal education while perceived human capital was captured by self-perceived capabilities for business start-ups. The moderating role of human capital was captured by the interaction terms between FI and human capital to investigate how the effects of FI on entrepreneurship vary with levels of human capital. The estimation used the panel-corrected standard error estimators and the two-step system generalized method of moments estimators.

Higher levels of formal education decrease the positive effect of extended FI on entrepreneurial activities. Individuals with high levels of self-capability do not leverage FI for entrepreneurial activities as much as those with lower levels of perceived capability. The results are robust to different estimation methods and different forms of actual human capital.

Both financial and human capital matter for new business formation worldwide. The findings suggest that FI policies must account for the decreasing effect in response to high levels of human capital. Future research should explore different measures of entrepreneurial performance, various types of entrepreneurship and entrepreneurship across gender groups to gain deeper insights into strategies for promoting entrepreneurship.

Education strategies should focus on specific types of education, such as entrepreneurship education with financial literacy, rather than traditional academic curriculum, to foster entrepreneurship knowledge, skills and creativity. Likewise, entrepreneurship support schemes should aim to nurture and share appropriate levels of self-efficacy, avoiding excessively high self-efficacy, which is deleterious to the benefits of FI for entrepreneurial activities.

This study offers novel evidence of the decreasing effects of FI on entrepreneurial activities in response to increased actual and perceived human capital.