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A diverse community of
leading experts, policymakers
and practitioners

The Institute’s key research themes
are led by ten academic partners
spread across the UK.

Businesses are crucial to solving
the UK’s productivity problems.

We’re a UK-wide research
organisation exploring what
productivity means for business

Businesses are crucial to solving
the UK’s productivity problems.


AI-powered knowledge management system (AI-KMS) for productivity, planning and strategic decisions in care homes in England

This study is driven by three objectives, mainly focusing on how the AI-powered knowledge management system (AI-KMS) enhances productivity, planning and strategic decisions among leadership teams of care homes in England. First, as Artificial intelligence (AI) applications are changing the landscape of organisations worldwide, it is unclear how content and knowledge created by AI technologies revolutionise the investment decisions, actions and behaviours of senior leaders in care homes in managing functionals areas such as marketing, technology, HR and Operations defined by Penney and Pendrill (2022).

This proposed research seeks to gather new data to investigate the leadership team’s strategic approach to shaping productivity issues. Secondly, this research aims to propose an AI-KMS and will empirically test the model to recognise how the system influences care home decision-makers to amplify main drivers of productivity including innovation, digital adoption, employee skills, engagement, management competencies, cost efficiency, marketing, and communication.

Thirdly, this study aims to test the impact of these drivers produced by AI-KMS on main key performance indicators (KPIs) defined by The Productivity Institute (2023) such as revenue, employee engagement, customer satisfaction, branding, sustainability practices, and overall efficiency of care homes in England. To empirically test the model and to assess the validity and reliability of AI-KMS, responses would be gathered using multiple case study methods (Focus of case study methods: FCN Homecare and Right at Home) and quantitative methods from business leaders in England; and the primary data would be analysed using Qualitative Comparative Analysis (QCA).

This study is among the first attempts to understand how AI-KMS could be used at functional levels to transform businesses’ productivity, planning and strategic decisions by providing personalised and tailored care services to the unique needs of elderly people.

Lead researcher Dr Sajad Rezaei, Worcester Business School, University of Worcester