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Digital contact tracing technologies are critical to the fight against COVID-19 in many countries including the UK. However, a number of ethical, legal and socio-economic concerns that can affect uptake of the app have been raised. The purpose of this research is to explore the perceptions of the UK digital contact tracing app in the Black, Asian and Minority Ethnic (BAME) community in Leicester and how this can affect its deployment and implementation.

Data was collected through virtual focus groups in Leicester, UK. A total of 28 participants were recruited for the study. All participants are members of the BAME community, and data was thematically analysed with NVivo 11.

A majority of the participants were unwilling to download and use the app owing to legal and ethical concerns. A minority were willing to use the app based on the need to protect public health. There was a general understanding that lack of uptake will negatively affect the fight against COVID-19 in BAME communities and an acknowledgement of the need for the government to rebuild trust through transparency and development of regulatory safeguards to enhance privacy and prevent misuse.

To the best of the authors’ knowledge, the research makes original contributions being the first robust study conducted to explore perceptions of marginalised communities, particularly BAME which may be adversely impacted by the deployment of the app. By exploring community-based perceptions, this study further contributes to the emerging citizens’ perceptions on digital contact tracing which is crucial to the effectiveness and the development of an efficient, community-specific response to public attitudes towards the app. The findings can also help the development of responsible innovation approaches that balances the competing interests of digital health interventions with the needs and expectations of the BAME community in the UK.

Many of the ethical issues of additive manufacturing (AM) are not well known or understood, and there remains a policy vacuum that needs to be addressed. This paper aims to describe an approach that has been applied successfully to other emerging technologies, referred to as the responsible research and innovation (RRI) framework programme. A case is then made for the application of this approach in the AM industry with an illustration of how it might be used.

The research uses an RRI approach referred to as AREA, an acronym for Anticipate, Reflect, Engage and Act, to assess the ethical implications of AM. For the anticipation phase, horizon scanning was done to explore the ethical issues of AM based on extant literature, while reflective analysis was carried out all through the work to reflect on the data being collected and the research process. The engage phase involved interviews with five participants from small- and medium-sized enterprises (SMEs) involved in 3D printing.

The findings indicate that although AM appears to pose a threat to intellectual property rights, many in the industry do not care about this issue. As AM becomes mainstream, intellectual property will likely become a big problem. Also, very little is known about the health impacts of AM. This study shows that AM can be hazardous.

Only users at SME level were sampled. Other researchers might test the usefulness of AREA at the enterprise level.

The research demonstrates how the AREA framework may be useful in information systems and social science research by enabling a more anticipatory and reflective research process.

The paper responds to the need for a novel approach to identifying ethical issues of AM.

The purpose of this paper is to investigate the relationship between managerialist employment relations and employee turnover intention in Nigeria. The study context is public hospitals in Nigeria, which have a history of problematic human resource management (HRM) practice, a non-participatory workplace culture, managerialist employment relations and a high employee turnover intention.

Based on a qualitative, interpretive approach, this paper investigates the process by which Nigerian employment relations practices trigger the employee turnover intention of doctors using 33 semi-structured interviews with key stakeholders in public hospitals.

This study found that Nigeria’s managerialist employment relations trigger the employee turnover intention of medical doctors. Additionally, it was found that although managerialist employment relations lead to turnover intention, Nigeria’s unique, non-participatory and authoritarian employment relations system exacerbates this situation, forcing doctors to consider leaving their employment.

Studies on the interface between managerialism and employment relations are still under-researched and underdeveloped. This paper also throws more light on issues associated with managerialist employment relations and human resources practice including stress, burnout and dissatisfaction. Their relationship with doctors’ turnover intention has significant implications for employment policies, engagement processes and HRM in general. The possibility of generalising the findings of this study is constrained by the limited sample size and its qualitative orientation.

This paper contributes to the dearth of studies emphasising employer–employee relationship quality as a predictor of employee turnover intention and a mediator between managerialist organisational system and turnover intention. The study further contributes to the discourse of employment relations and its concomitant turnover intention from developing countries’ perspective within the medical sector.

The challenges facing the productivity of Nigeria's refineries have generated much academic discourse. This study was carried out to develop a causal loop model showing the interrelationships of the multiple factors driving the poor performance of the refineries. Using a framework of political, economic, social and technical (PEST) factors, the developed model helped identify leverage points for policy intervention in the system.

A mixed-method approach was adopted to collect quantitative data from 118 refinery workers and qualitative data from 14 participants polled from the various Nigerian National Petroleum Corporation (NNPC) subsidiaries. The quantitative data were analysed through structural equation modelling (SEM) to prioritise the more significant factors, while the qualitative data were analysed by content analysis to further validate the questionnaire findings and provide clearer contexts for the operationalisation of the factors.

The structural equation model identified several PEST factors such as government interference, political indecision, funding issues, spare parts costs, pipeline vandalism, oil theft, maintenance issues as some of the significant factors affecting the performance of the refineries. The interviews validated these findings and provided richer contexts on how these factors operate within system. A causal loop model was developed based on these findings to identify key leverage points upon which policy intervention through best practice, management autonomy and stakeholder satisfaction was proposed to address these challenges.

The study uncovers that the factors which affect the performance of the refineries have significant multiple interrelationships, the understanding of which is crucial for developing effective solutions by policymakers.

The findings of this study lay important foundations for a deeper understanding of how PEST factors interact to drive suboptimal performance across NNPC refineries.

The causal loop model developed in this study provides a new approach to viewing and analysing the associated factors affecting the performance of Nigeria's refineries from a non-linear perspective.