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The neighbourhoods surrounding social housing are often characterised by poverty, high rates of unemployment, community violence and other social stress factors that are often linked with adverse childhood experiences, including diverse forms of family, community and institutional violence against children. Based on the sociology of childhood, which considers children as active subjects with rights and promotes a critical understanding of their participation in matters that concern them, this chapter reviews participatory research with children, highlighting the importance of hearing their voices, to sustain their key role in building knowledge about them and the contexts in which they live. In this case, children participated in research to provide a deeper understanding of their needs in their neighbourhood, the role of their families and communities and what they needed to improve the quality of their lives.

This paper studies, based on the theory of service-dominant logic, the effect of value co-creation practices (linking and materializing) on engagement dimensions (popularity, commitment and virality). The main objective is to analyze the influence of value co-creation practices on engagement at international trade shows organizer association on Twitter.

This paper studies the usage of Twitter by the Specialty Food Association, which organizes one of the top five foods and beverage international trade show in the United States. To achieve the research objective, the authors have analyzed 1,608 posts on Twitter from the Twitter account @Specialty_Food. A content analysis was performed using Krippendorff's (2004) recommendations, and the data were analyzed using regression analysis with optimal scaling and Kruskal–Wallis Test.

According to the results, some materializing practices influence popularity, commitment, virality and global engagement on Twitter. While the usage of some linking practices influences respectively commitment and popularity.

These results provide valuable information for business-to-business (B2B) contexts and answer a research gap reported in previous literature, which affirms that more research is needed about the relationship between service systems and engagement. From a general view, to generate more engagement on social media in B2B contexts, it is recommended to prioritize posts that incorporate live and online events based on collaborative and dynamic human interactions, following by business ideas and business cases.

The study aims to examine the impact of corporate governance in terms of certain board characteristics on the level of universities’ voluntary sustainability disclosure.

A content analysis based on a comprehensive disclosure index – that also accounts for the impact that COVID-19 exerted on the social dimension of university activities – is performed on a sample of Italian public universities’ websites for the year 2020. An ordinary least squares regression model is estimated to test the association between universities’ board characteristics, namely, board size, board independence and board gender diversity (including the presence of a female rector), and online sustainability disclosure.

This study provides evidence that websites represent a valid tool used by universities to highlight their social performance and demonstrate their commitment to dealing with the pandemic’s social and economic disruption by supporting their stakeholders. Board gender diversity and female Rector’s presence are crucial factors that positively impact voluntary sustainability disclosure levels.

Policymakers and regulators can benefit from the study’s findings. Using the results of this study, they may reflect on the need to regulate sustainability reporting in universities. In addition, findings may offer policymakers inspiration for regulating the presence of women on university boards.

This study offers novel contributions to existing literature analysing the university’s voluntary sustainability disclosure practices through alternative communication tools such as websites. Moreover, it provides novel insight into the role of the board gender diversity in university sustainability disclosure practices.

Before the onset of the COVID-19 pandemic, most employees worked from their employers' offices, and new team members were integrated into their roles through standard onboarding procedures. However, in response to the pandemic, organizations quickly reestablished new remote onboarding strategies. As hybrid employment gains popularity, the onboarding process has been affected by the digital transformation (DT) phenomenon, and organizations must now implement remote strategies to onboard new employees.

In this context, by considering the major changes that happen in the field, the purpose of this article is to provide a literature review of the onboarding process (OP), using the context-interventions-mechanisms-outcomes framework.

The review identifies four mechanisms describing the complexity of the OP and the impact of DT: basic onboarding, advanced onboarding, integration of newcomers and remote onboarding.

The findings have implications for both HR professionals concerned with onboarding strategy, and researchers studying the OP.

In a virtual interconnected digital space, the metaverse encompasses various virtual environments where people can interact, including engaging in business activities. Machine learning (ML) is a strategic technology that enables digital transformation to the metaverse, and it is becoming a more prevalent driver of business performance and reporting on performance. However, ML has limitations, and using the technology in business processes, such as accounting, poses a technology governance failure risk. To address this risk, decision makers and those tasked to govern these technologies must understand where the technology fits into the business process and consider its limitations to enable a governed transition to the metaverse. Using selected accounting processes, this study aims to describe the limitations that ML techniques pose to ensure the quality of financial information.

A grounded theory literature review method, consisting of five iterative stages, was used to identify the accounting tasks that ML could perform in the respective accounting processes, describe the ML techniques that could be applied to each accounting task and identify the limitations associated with the individual techniques.

This study finds that limitations such as data availability and training time may impact the quality of the financial information and that ML techniques and their limitations must be clearly understood when developing and implementing technology governance measures.

The study contributes to the growing literature on enterprise information and technology management and governance. In this study, the authors integrated current ML knowledge into an accounting context. As accounting is a pervasive aspect of business, the insights from this study will benefit decision makers and those tasked to govern these technologies to understand how some processes are more likely to be affected by certain limitations and how this may impact the accounting objectives. It will also benefit those users hoping to exploit the advantages of ML in their accounting processes while understanding the specific technology limitations on an accounting task level.