SACM - United Kingdom
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9667
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Item Restricted Adapting to Change: The Integration of Artificial Intelligence (AI) to Address Labour Shortages in UK Hospitality(Bournemouth University, 2024) AlMalki, AlAnoud Awadh Yahya; Ladkin, AdeleThis dissertation explores the transformative role of Artificial Intelligence (AI) and digital innovation in mitigating labour shortages within the UK's hospitality industry. Amidst an era marked by significant staff deficits, exacerbated by demographic shifts, Brexit, and the aftermath of the COVID-19 pandemic, the hospitality sector faces unprecedented challenges. Through qualitative research, involving semi-structured interviews with four hotel managers, seven hotel staff and two customers. This study delves into the multifaceted impacts of AI integration on operational efficiency, employee dynamics, and customer satisfaction. Findings indicate that AI technologies—spanning predictive analytics, service robots, and digital training platforms—offer potent solutions to labour scarcities by enhancing service delivery, streamlining recruitment, and fostering workforce development. Yet, the adoption of such technologies is not without its challenges, including substantial initial investments, requisite skill upgrades for existing staff, and potential impacts on employment. This research further examines the distinction between AI-equipped and traditional hotels, revealing that while AI promises operational advancements and cost efficiencies, the human element remains irreplaceable in ensuring guest satisfaction. In conclusion, the study underscores the necessity of a balanced approach towards AI adoption in the hospitality sector, advocating for strategic planning and stakeholder engagement to leverage technology effectively while preserving the essence of hospitality's human touch. The insights gleaned from this investigation not only contribute to academic discourse but also offer practical guidance for hospitality managers and policymakers navigating the sector's digital transformation journey.33 0Item Restricted Tensegrity Robotics(Saudi Digital Library, 2022-08-30) Alahmadi, Basim; Pooya, SarehMerging between humans and robots has become an important research direction among the latest generation of robots. Both rigid and soft robot applications have their own constraints. The tensegrity structure, which is regularly utilized in the fields of structural engineering and architecture is a space grid structure composed of discrete compression components and continuous tension elements. This kind of design brings together the advantages of rigid and soft structures, offering inspiration for the development of the next generation of robots. Tensegrity structures are increasingly employed in robotics. The purpose of this study is to review the state-of-the-art of tensegrity-based robotics, focusing on applications of these robots. Review of key approaches such as design, form finding, and locomotion modes have also been included. Tensegrity structures-based robotics, as a unique rigid-flexible coupling structure, offer significant opportunity for various applications in the future, even though there are now only a limited number of practical applications.25 0