SACM - Australia
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9648
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Item Restricted The Effect of Virtual Teams’ Communication in Building Construction(Queensland University of Technology, 2024-10-25) Aldawsari, Falah; Tim, RoseThe research involves a qualitative comprehensive review based on the subject of online virtual team communication in building construction. The importance of strong contact in promoting collaboration was highlighted. Its significance helps build credibility and, in many cases, improves project outcomes. Because of this, a wide range of skills is readily available and easy to work with. The study clearly highlights that the teams also face unique obstacles. A lack of familiarity with other cultures is one issue. There is also the issue of not knowing how to use some technologies. Tackling these challenges is of the utmost importance. Improved methods of interaction may be achieved with this. There is an immediate need to offer extensive training programs for members (among other critical concerns highlighted by the research). They need to hone their interpersonal and technical skills simultaneously in this program. It is crucial to set explicit communication procedures. This will help to improve team relations and reduce the likelihood of misunderstandings. Additionally, the study adds to the field of project management. It sheds light on how crucial trust and psychological safety are in online settings. The results provide useful information for practitioners who want to enhance their management of VPTs. It does so by highlighting the significance of openness and frequent interaction. This study lays the groundwork for future research on virtual communication hurdles and how to overcome them6 0Item Restricted Energetic Sources and the Interstellar Medium: A Case Study of the Scutum Supershell(The university of Adelaide, 2025-05) Alsulami, Rami Nafea; Rowell, GavinThis thesis investigates large-scale Hα spine and bow shock features associated with the Scutum Supershell using multi-wavelength observations. Through photoionisation modelling, optical spectroscopy with WiFeS, and diagnostic line ratios, we distinguish photoionised and shock-excited regions. The spine is consistent with photoionisation from OB associations, while the bow shock exhibits characteristics of low-velocity shocks. Evidence from radio, infrared, and X-ray maps supports these findings. Additionally, a circular Hough transform algorithm is developed for automated detection of shell-like structures, with applications demonstrated on radio and CO data. This work contributes to understanding high-energy feedback in the interstellar medium.10 0Item Restricted A framework to adopt construction 4.0 in the Kingdom of Saudi Arabia: Impact of Institutional Pressures, Ambidexterity and Organizational Resources on Intention to Adopt(University of Newcastle, 2025) Alyami, Abdullah; Thayaparan, Gajendran; Marcus, Jefferies; Tanvi, NewazConstruction 4.0 is the construction industry’s response to Industry 4.0, a technological revolution to adopt innovative methodologies and modern technologies to boost productivity and efficiency in modern workplaces. Construction 4.0 is driven partly by an accelerated pace of urbanization, the resulting heightened demand within the construction industry, and the construction industry’s reputation for lack of modernization. It marks a paradigm shift characterised by the integration of digital technologies, automation, real-time data, and artificial intelligence across all stages of the construction lifecycle. The extant literature suggests that Construction 4.0 adoption is influenced by organizational resources (technology, people, process, and education), ambidexterity (exploration and exploitation), and institutional pressures (normative pressure, memetic pressure, and coercive pressure). The predominant discourse of existing studies on the implementation of Construction 4.0 have focused on its impact on work procedures, project completion times, quality, and safety measures, despite the significant influence of organizational resources, ambidexterity, and institutional pressures on the successful adoption of Construction 4.0. Less attention has been paid to how internal organisational factors and external institutional forces interact to shape the strategic intent to adopt Construction 4.0 technologies. This study addresses this gap by investigating the influence of three critical constructs: organisational resources (technology, people, processes, education and training), organisational ambidexterity (exploration and exploitation capabilities), and institutional pressures (coercive, normative, and mimetic) on the intention to adopt Construction 4.0 within the Saudi construction industry. Hence, this study investigates the influence of organizational resources, ambidexterity, and institutional pressures on the adoption of Construction 4.0 in the Kingdom of Saudi Arabia. Ultimately, the study has developed a framework for implementing Construction 4.0 in the Saudi construction industry. This research developed a theoretical model proposing eighteen (18) hypotheses, based on theories related to strategic resources (Resource-Based View), strategic flexibility (ambidexterity), and institutional pressures (institutional theory) to understand their impact on Construction 4.0 adoption. A comprehensive literature review was conducted, and a conceptual model was developed to measure the influencing factors. A quantitative research methodology was adopted, underpinned by a positivist paradigm. Data was collected through a questionnaire completed by 261 professionals in construction organizations in Saudi Arabia. Structural Equation Modelling (SEM) was adopted to test the hypotheses, examine the relationships between variables, and validate the conceptual model. The results of the SEM confirmed 13 of the 18 hypotheses, revealing that institutional pressures significantly influence exploration orientation. This orientation, in turn, positively impacts key organizational resources—particularly human capital, education and training, and processes—needed for the adoption of Construction 4.0. The intention to adopt C4.0 was found to be most strongly influenced by the development of these organizational resources. Moreover, the study identified five dominant adoption pathways that integrate external institutional forces and internal strategic capabilities. These pathways offer a nuanced understanding of how adoption dynamics unfold in practice, especially in contexts undergoing rapid socio-economic transformation. These findings offer theoretical and practical contributions. Theoretically, it advances the discourse on digital transformation in construction by integrating three organizational theories into a single explanatory model. The integration of organizational theories provides a deeper understanding of Construction 4.0 adoption dynamics. Empirically, it provides evidence-based insights specific to the Saudi Arabian context, an emerging market undergoing rapid reform aligned with Vision 2030. Practically, the study offers an empirically validated framework tailored to the Saudi construction context, which can inform decision-makers, policy developers, and construction professionals seeking to enhance productivity through digital transformation in alignment with national strategic ambitions.10 0Item Restricted Implementation and evaluation of a simulation-based educational intervention with first year nursing students in Saudia Arabia: Mixed methods research.(Monash university, 2024) Almutairi, Ashwaq Amer; Jones, Tamsin; Recoche, Katrina; Brand, GabriellaBackground: Saudi Arabia needs a more culturally sensitive healthcare workforce to meet the needs of an increasingly multicultural population. While cultural competency training exists, fostering empathy for different cultures remains under-addressed in Saudi nursing education. Simulation-based education is a new approach in this context but limited to basic nursing skills training. Objective: This mixed-methods study investigated the feasibility and effectiveness of a cultural empathy simulation activity for first year Saudi nursing students. Student empathy development and satisfaction with the activity were assessed. Methods: A convergent parallel mixed-methods design was employed. Quantitative data on empathy were collected using the Comprehensive State Empathy Scale (CSES), while student satisfaction was measured using the Satisfaction with Cultural Simulation Experience Scale (SCSES). Qualitative data on experiences and perceptions were gathered through student focus groups and academic interviews. Findings: The quantitative analysis revealed a statistically significant increase in the mean scores of the Comprehensive State Empathy Scale (CSES) following the cultural empathy simulation activity. Specifically, students demonstrated a notable improvement in their ability to understand and share the feelings of individuals from diverse cultural backgrounds (p<0.05). The Satisfaction with Cultural Simulation Experience Scale (SCSES) showed that students were very satisfied, with average scores always above 4.0 on a 7-point scale, indicating they felt the simulation was effective in helping them understand different cultures. Qualitative data from focus groups and academic interviews corroborated these findings. Students reported enhanced awareness of cultural differences, improved communication skills when interacting with culturally and linguistically diverse (CALD) patients, and a greater sense of confidence in providing culturally sensitive care. They highlighted the value of the simulation in fostering perspective-taking, particularly in understanding the emotional and social challenges faced by patients from different cultural backgrounds. Academic interviews emphasised the simulation's role in bridging the gap between theoretical knowledge and practical application by allowing students to actively engage with cultural concepts in a safe and supportive environment. The integration of real-life scenarios and debriefing sessions was perceived as crucial in facilitating deep learning and reflection on cultural biases. Conclusion: This study suggests that cultural empathy simulation activities can significantly improve the teaching of cultural empathy to Saudi nursing students. These activities foster empathy, preparing culturally competent nurses to address the diverse needs of the Saudi healthcare system.12 0Item Restricted Examining the holistic experience of virtual gift-giving in social network games(The University of Newcastle, 2024) Akhawwari, Abdullah Mohammed; Ameet, Pandit; Tom, ChenThis study examines the dynamics of gift-giving within Social Network Games (SNGs)and aims to balance the research narrative by integrating the perspectives of both gift-givers and receivers. The study will apply social capital and social exchange theories to analyse how these forms of social capital affect users’ intentions to gift and their willingness to reciprocate within the digital milieu of SNGs. Furthermore, it will scrutinise the moderating effects of symbolic representation, affective commitment, and privacy concerns on these social exchanges, focusing on bonding and bridging social capital. The research also considers the impact of gratitude and indebtedness on gift intentions and the willingness to reciprocate, as well as evaluating psychological well-being as a consequential outcome. By amalgamating the viewpoints of all participants in the gift exchange process, this research endeavours to offer a comprehensive understanding of the social constructs that govern digital gift-giving practices, thus contributing to the broader discourse on virtual communities, interactive social behaviours, and individual well-being. This study took a quantitative approach, using a survey and an online research panel to collect data. The research design used the Partial Least Squares Structural Equation Model (PLS-SEM), which was chosen as the most suitable method for testing gift-giving relationships due to its high statistical power and capabilities for modelling reflective measurement constructs. The key findings suggest that relationship support and gifting norms significantly enhance bonding and bridging social capital. Helping behaviour also positively impacts both types of social capital. Bonding social capital negatively affects willingness to reciprocate and gifting intention, while bridging social capital positively influences both. Mediation analysis shows that bridging social capital partially mediates the effects of relationship support and gifting norms on willingness to reciprocate and gifting intention. Affective commitment significantly moderates the link between relationship support and gifting behaviours and between gifting norms and intention. The study leads to several important implications for the developers and marketers of SNG, one of which is the emphasis on product features that add to increased social capital and social exchange. Gifting and direct features enhance the perception of worth in giving, which results in higher engagement. Given this, this study provides theoretical development and practical implications on how to make user experiences better and boost platform success in general. Together with this, the results add to a more extensive discussion on virtual communities and interactive social behaviours.5 0Item Restricted Effectiveness of mindfulness-based stress reduction (MBSR) in reducing burnout among mental health nurses: A Rapid Review(University of Wollongong, 2024) Almuqayti, Rana; Lapkin, SamExecutive Summary Background: Burnout negatively affects nurses and patients, as well as work quality. Mindfulness-based stress reduction (MBSR) can reduce stress and burnout levels among healthcare professionals, but studies are limited concerning mental health nurses. Aim: To evaluate the effectiveness of MBSR in reducing burnout among mental health nurses. Methods: A comprehensive search was conducted using PubMed, PMC, and JBI. Methodological quality of included studies was assessed using AMSTAR. Main findings: Ten systematic reviews met the inclusion criteria. MBSR reduced stress and burnout levels and improved nurses’ wellbeing. Conclusion: High quality studies that focus on mental health nurses are needed to corroborate the evidence.21 0Item Restricted The Integration of Artificial Intelligence (AI) In Business Operations(La Trobe University, 2022) Alqahtani, Raed Ayidh; Soh, BenThis research investigates the integration of Artificial Intelligence (AI) in business operations. AI has become increasingly prevalent in various industries due to its potential to enhance efficiency, improve decision-making, and drive innovation. However, there is a lack of comprehensive understanding of how AI integration has been implemented in the business context. Therefore, this study utilizes a systematic review approach, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, to examine and synthesize existing literature on AI integration in business operations. The primary outcomes of this research will provide insights into the current state of AI integration in businesses, identify common challenges and benefits, and highlight potential areas for future research. This research contributes to the understanding of the impact of AI on business operations, paving the way for the effective and successful implementation of AI in organizations.19 0Item Restricted Nutrition for Health and Wellbeing in Community Dwelling Older Adults(University of Newcastle, 2024) Alghamdi, Maryam; Chojenta, Catherine; Burrows, TracyPrior research has suggested that culinary nutrition programs are effective in improving the dietary intake and overall health of older adults. Delivering these programs online has been proposed as possible and present promising results. These programs often promote healthy-eating patterns in relation to the program’s aim and can be based on various dietary patterns. Considering the recognition of the Mediterranean diet (MedDiet) as a healthy-eating pattern for older adults and the successful adherence in non-Mediterranean populations, there is a need for innovative and cost-effective programs to provide older adults with evidence-based culinary nutrition education based on the MedDiet that include an online component. This PhD project employed a multimethod design to develop a culinary and nutrition-focused masterclass that provides education on the MedDiet, including step-by-step guidance to facilitate adopting this dietary pattern among older adults. To address the purpose of this research, the thesis (1) conducted a synthesis of current culinary and nutrition programs for older adults published to 2022, (2) qualitatively analysed workshop discussions to explore older adults’ use and motivations to join online courses, (3) used a participatory action approach to co-design the education content and Mediterranean-style recipes of the masterclass with older adults and (4) presented a reflection on the experience of conducting the co-design virtually and the impact of using this approach with older adults. The synthesis of existing research revealed limited research regarding programs designed specifically for the older adult population. Among the few programs, only four involved older adults in the development phase. The scoping review also identified that existing culinary nutrition programs had limited online components, no program was offered fully online and none provided MedDiet education to the non-Mediterranean older population. Through workshops and qualitative analysis, it was determined that older adults were interested in online courses and have had successful learning experiences with large variations in digital skills between research partners and people within their communities. Following on from the initial phases of work, a co-design approach using multimethods identified older adults’ needs and preferences, which determined the key elements of a MedDiet culinary nutrition masterclass. Specifically, educational content was developed and input to inform the structure and format of the masterclass. In addition, recipes were sought and optimised for diet quality. The outcome is a book that includes culinary nutrition education, Mediterranean-style recipes and links to a series of videos, led by partners’ decisions. Reflecting on the online co-design identified difficulties and highlighted the positive impact of the co-design approach on partners, suggesting that it can be considered in future co-design research with older adults.6 0Item Restricted Cloud computing efficiency: optimizing resource utilization, energy consumption, latency, availability, and reliability using intelligent algorithms(The Universit of Western Australia, 2024) Alelyani, Abdullah Hamed A; Datta, Amitava; Ghulam, Mubasher HassanCloud computing offers significant potential for transforming service delivery with a cost-efficient, pay-as-you-go model, which has led to a dramatic increase in demand. The advantages of virtual machine (VM) and container technologies further optimize resource utilization in cloud environments. Containers and VMs improve application reliability by distributing replicated tasks across different physical machines (PMs). However, several persistent issues in cloud computing remain, including energy consumption, resource management, network traffic costs, availability, latency, service level agreement (SLA) violations, and reliability. Addressing these issues is critical for ensuring QoS. This thesis proposes approaches to address these issues and improve cloud performance.17 0Item Restricted GENERATION OF FLOOD SUSCEPTIBILITY MAP USING ARTIFICIAL INTELLIGENCE: A CASE STUDY, TABUK, KSA(Griffith University, 2025) Alabbas, Mohammed; Currell, MatthewThis study focused on flood susceptibility mapping (FSM) for Tabuk, Saudi Arabia, using artificial intelligence and advanced techniques in an effort to find areas that are more prone to flooding. The study thus aims at generating a reliable tool for urban planning and flood risk management in a flash-flood-prone arid region. The acquisition of data involved various sources, among others, Digital Elevation Models (DEM), land use and land cover (LULC), hydrological data (Topographic Wetness Index, Stream Power Index), and noted flood records. Four ML models- Random Forest (RF), Support Vector Regression (SVR), Artificial Neural Networks (ANN), and Decision Trees (DT)-were used to assess the environmental conditions and produce an FSM. They were validated using metrics like Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared (R²) to assess their predictive performance. The results seem rather to show that the low-lying areas, proximity to streamlines, and several topographic features contribute significantly to the flood susceptibility of the town. Shortages of historical flood data are one of the limitations that can provide obstacles to the prediction ability of the models used for flood risk assessments, with no consideration given to socio- economic factors. Recommendations for improvement in the relational modeling for better forecast of flood vulnerability include more accurate data, collecting long-term historical records of flood occurrence, and considering socio-economic factors into integrated flood risk models for providing proper flood management plans.24 0