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The purpose of this paper is to understand how inspection team members work together to conduct surveys of hospitals, the challenges teams may face and how these might be addressed.

Data were gathered through an evaluation of a new regulatory model for acute hospitals in England, implemented by the Care Quality Commission (CQC) during 2013-2014. The authors interviewed key stakeholders, observed inspections and surveyed and interviewed inspection team members and hospital staff. Common characteristics of temporary teams provided an analytical framework.

The temporary nature of the inspection teams hindered the conduct of some inspection activities, despite the presence of organisational citizenship behaviours. In a minority of sub-teams, there were tensions between CQC employed inspectors, healthcare professionals, lay people and CQC data analysts. Membership changes were infrequent and did not appear to inhibit team functioning, with members displaying high commitment. Although there were leadership authority ambiguities, these were not problematic. Existing processes of recruitment and selection, training and preparation and to some extent leadership, did not particularly lend themselves to addressing the challenges arising from the temporary nature of the teams.

Conducting the research during the piloting of the new regulatory approach may have accentuated some challenges. There is scope for further research on inspection team leadership.

Issues may arise if inspection and accreditation agencies deploy temporary, heterogeneous survey teams.

This research is the first to illuminate the functioning of inspection survey teams by applying a temporary teams perspective.

The purpose of this study is to examine the influence of characteristics of the institutional environment on the disclosure of corporate social responsibility (CSR).

This is a quantitative and descriptive research. The dependent variables used were environmental dimension (ED) and social dimension (SD) that together compose the corporate social performance (CSP). The independent variables that will be used are the characteristics of the institutional environments of Brazil and the UK. Thus, for this end, variables of the national business system of both countries will be used: corruption transparency, access to credit by countries, quality of the education system and labor relations. After their collection, the data were submitted to descriptive and inferential statistics and hierarchical regression.

Data show that UK companies make more disclosure in CSR than Brazilian companies. Through linear regression, it can be seen that the institutional environment affects disclosure in CSR. In the UK, a country with better educational, labor, political and financial indicators than Brazil, it presented better CSR practices. The findings reveal that the better an institutional environment, the more firms act in CSR. The findings of the research confirm the premise of institutional theory: different institutional fields can modify business performance.

The study analyzed only the disclosure practices of companies in the public sector. Thus, the results should be carefully analyzed, without generalizations for all industry sectors. Therefore, it is suggested that future research looks at other industry sectors as well as other institutional contexts, i.e. other countries.

Multinational companies may have different CSR practices according to the institutional environment in which they operate. For example, companies in developed countries, such as the UK, have greater stakeholder pressure. Given this, managers must adapt their environmental strategies according to the institutional environment in which they operate.

This research contributes to CSR studies in various institutional contexts. There is a consensus in the literature that institutional environments affect firms' CSR practices. However, few empirical studies show results between the national business system and CSR. Thus, the present study intends to fill this research gap.

This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.

This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.

Six clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.

This study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.