Saudi Cultural Missions Theses & Dissertations
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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 IBBRB: Intelligent Blockchain-based Reputation Broker for Robot Selection(University of Technology Sydney, 2023-12) Alharbi, Wafa; Hussain, Farookh KhadeerRobot as a service (RAAS) is a cloud-based subscription service that enables robotic devices to be leased instead of purchased. RAAS has recently increased in popularity due to the numerous advantages that it offers to robotic service requesters such as flexibility and the lower cost of entry and maintenance compared to owning the equipment, and the ease of implementation. The concept of RAAS has contributed to the increased use of robots in different disciplines, such as industry, education, health and agriculture. Robotic service requesters may face difficulties in searching for the most suitable robot for their required tasks based on their preferences. Robot selection has attracted the interest of many researchers and it has been widely discussed in the literature. Robot selection is based on ranking the available robotic alternatives after they have been assessed by robotic experts. The assessment process is based on customer requirements as well as the task’s functional and non-functional requirements. However, through a systematic literature review, it has been identified that selecting a robot based on its previous performance in similar tasks has not been discussed yet. Furthermore, all the proposed robot selection methods require robotic experts to determine the requirements and robotic alternatives. To address these issues, this research aims to propose and develop an intelligent blockchain-based reputation broker for robot selection termed IBBRB. IBBRB is an intelligent reputation system that allows robotic service requesters (customers) to rate the performance of robots after hiring them. To avoid data manipulation, which is a common issue with reputation systems, blockchain technology is used to store and secure all trust values in IBBRB. IBBRB is built to provide novel and intelligent mechanisms to: (i) standardise robotic knowledge across all robotic service requesters, suppliers and manufacturers by encapsulating all the robotic attributes and their relationships into an ontological manifestation called Robotic Attribute Ontology (RAO), and then to propose a blockchain-based method for RAO evolution using a crowdsourcing approach, (ii) develop a comprehensive method to carry out robotic reputation computations termed Reliable Reputation Computation Method for Robotics (RRCM). RRCM incorporates building: (a) a reputation model that produces reputation values for robots based on previous customers’ ratings, and (b) a prediction model that predicts reputation values for non-reviewed robots to bootstrap new robots and overcome the cold start issue, (iii) develop a method to infer reputation values for all non-reviewed contexts of multi-purpose robots based on their similarities to the reviewed contexts. Finally, this research uses software prototyping to validate the performance and accuracy of the aforementioned proposed methods.15 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