The Digitalization of Social Care in England and Implications for Older, Unpaid Carers: Constructionist Thematic Analysis.

Background: Globally, populations are aging, generating concerns about the sustainability of health and social care provision. In terms of the public provision of social care in particular, unpaid carers provide much of the support to people with disabilities and older people. In addition, there is an increased onus in many countries on digital transformation projects, in the hope that the digitalization of services can create efficiencies and savings in both costs and care labor.

Promoting Well-being Among Informal Caregivers of People With HIV/AIDS in Rural Malawi: Community-Based Participatory Research Approach.

Background: People living with HIV/AIDS and their informal caregivers (usually family members) in Malawi do not have adequate access to patient-centered care, particularly in remote rural areas of the country because of the high burden of HIV/AIDS, coupled with a fragmented and patchy health care system. Chronic conditions require self-care strategies, which are now promoted in both developed and developing contexts but are still only emerging in sub-Saharan African countries.

Objective: This study aims to explore the effects of the implementation of a short-term intervention aimed at supporting informal caregivers of people living with HIV/AIDS in Malawi in their caring role and improving their well-being.

Artificial Intelligence-Based Ethical Hacking for Health Information Systems: Simulation Study.

Background: Health information systems (HISs) are continuously targeted by hackers, who aim to bring down critical health infrastructure. This study was motivated by recent attacks on health care organizations that have resulted in the compromise of sensitive data held in HISs. Existing research on cybersecurity in the health care domain places an imbalanced focus on protecting medical devices and data.

Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review.

Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to significantly improve resilience of supply chains and to facilitate more effective management of supply chain resources. Despite such potential benefits and the increase in popularity of AI and BDA in the context of supply chains, research to date is dispersed into research streams that is largely based on the publication outlet. We curate and synthesise this dispersed knowledge by conducting a systematic literature review of AI and BDA research in supply chain resilience that have been published in the Chartered Association of Business School (CABS) ranked journals between 2011 and 2021.

Affective temporal experiences and new work modalities: The role of Information and Communication Technologies.

As a result of the Covid-19 pandemic, new ways of working emerged, such as fully remote to hybrid work. As the restrictions with regards to the spatial dimension of work become less rigid, the temporal dimension surfaces as one of the more important aspects of work. In this study, we draw from the Negative Theology of Time to present a more nuanced understanding of how Information and Communication Technologies (ICTs) influence temporal experiences and how these shape work itself.

Using Business Analytics for SME Business Model Transformation under Pandemic Time Pressure.

The COVID-19 pandemic has had an unprecedented impact on many industry sectors, forcing many companies and particularly Small Medium Enterprises (SMEs) to fundamentally change their business models under extreme time pressure. While there are claims that technologies such as analytics can help such rapid transitions, little empirical research exists that shows if or how Business Analytics (BA) supports the adaptation or innovation of SMEs' business models, let alone within the context of extreme time pressure and turbulence. This study addresses this gap through an exemplar case, where the SME actively used location-based business analytics for rapid business model adaptation and innovation during the Covid-19 crisis.

Appropriating Information Technology Artefacts through Trial and Error: The Case of the Tablet.

The concept of appropriation is of paramount importance for the lasting use of an Information Technology (IT) artefact following its initial adoption, and therefore its success. However, quite often, users' original expectations are negatively disconfirmed, and instead of appropriating the IT artefact, they discontinue its use. In this study we examine the use of IT artefacts following negative disconfirmation and use Grounded Theory Method techniques to analyse 136 blogposts, collected between March 2011 - July 2017, to investigate how users appropriate or reject the tablet when technology falls short of users' expectations.