The effects of artificial intelligence on organisations and its influence on the hybrid structure

Abstract

The use of Artificial Intelligence has the potential to revolutionise organisational structures and work processes. This dissertation investigates the effects of AI on organisations and its influence on the hybrid work structure, which combines remote and on-site working. The data collection method used within this study was a qualitative data approach through in-depth interviews with key stakeholders from two large, hybrid structured organisations within Malta. The data was then analysed using a thematic approach to identify the similarities and contrasts between these two organisations. This study concludes that AI technologies integrated within organizations leads to several significant effects. Firstly, AI enhances operational efficiency by automating routine tasks, freeing up employees' time for more strategic and creative work. Secondly, AI assists decision makers to make more informed decisions through data-driven decision-making by analysing vast amounts of information and providing accurate insights and KPIs. However, alongside the benefits discovered within this study, concerns about data privacy, job displacement, and ethical implications were also unveiled. Furthermore, the research highlights how AI influences the hybrid work structure through communication tools and collaboration platforms which enable seamless and instant knowledge sharing among virtual teams allowing them to collaborate irresectable of their geographical location. Additionally, AI analytics and employee monitoring systems allow organisations to assess employee productivity and well-being in the hybrid work environment. Overall, this thesis contributes to the existing literature on the effects of AI on organizations and sheds light on the evolving hybrid work structure. The findings provide valuable insights for organizations seeking to implement AI technologies to enhance their productivity, collaboration, and decision-making while adapting to the changing dynamics of the hybrid work environment.