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We see security guards around in Macao in our daily lives and they are the ones who are responsible for protecting people’s safety and properties. Most security guards are non-local workers and might have different workplace stress levels. This study’s main aim is to investigate how job satisfaction and supervisory support are related to burnout among security guards in Macao. The research is carried out through a quantitative questionnaire to collect data and deliver it to the local and non-local security guards working in Macao. A total of 132 questionnaires were collected. It is expected that when security guards have higher job satisfaction and more supervisory support, they will experience less burnout. This intention enables the organization to make some changes to help the security guards from burnout due to job dissatisfaction and no supervisory support. The practical implication for reducing stress is introducing training courses such as mindfulness-based stress training programs. Future research will investigate other support like organizational support, peer support, and family and friends support on security guards
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This study explores the attitudes of students at Macau Baptist College toward social media usage and its influence on their relationships and academic performance. The research utilized mixed methods to incorporate focus group discussions, in-depth interviews with eight students, eleven teachers, and seven parents, and an online questionnaire administered to 341 students across all college levels. Findings reveal that WeChat is the primary communication tool among college members, significantly facilitating relationships within the school community. Students reported spending extensive time online, especially during holidays, which raises concerns about its impact on academic performance and mental well-being. While many students acknowledge the potential benefits of social media for learning, they also express skepticism regarding the reliability of online information and experience challenges in seeking help due to fears of judgment. The study highlights students' mixed attitudes toward social media, emphasizing the need for digital literacy and guidance to navigate online interactions safely. Ultimately, this research underscores the importance of fostering a supportive environment for students, enabling them to balance their digital engagements with academic responsibilities. Recommendations for parents, educators, and policymakers include: - Promoting responsible social media use. - Enhancing media literacy education. - Facilitating open communication to address online challenges. By addressing these aspects, stakeholders can optimize the positive effects of social media while mitigating its potential drawbacks on students' well-being and academic success
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The global food industry generates substantial waste, posing significant environmental, economic, and social challenges. This dissertation explores circular business strategies for food waste management, aiming to develop an efficient model that integrates circular economy principles and innovative technologies. Key research questions include: What are current food waste management practices? How can circular economy principles reduce food waste effectively? What role can technology play in improving these systems? The study also examines barriers to implementation and identifies gaps in existing literature. The methodology involves a comprehensive literature review, case studies, and the development of a detailed mathematical model. The literature review covers circular economy concepts, current food waste treatment technologies, machine learning and Al applications in waste management. Case studies from various countries provide insights into regulatory frameworks and innovative solutions. Central to this research is the mathematical modelling of food waste management systems. The model employs Hamiltonian and/or Lagrangian formulations to optimise waste transportation and processing. This approach allows for the simulation of various scenarios, helping to identify the most efficient pathways for food waste reduction and resource recovery. The model also incorporates phase transitions better to understand the dynamics of waste generation and treatment processes. Phase transitions mark changes on tendencies and in this case they help us to evaluate the viability of the construction of a fast track for the transportation of food waste in any city. Results indicate that adopting circular economy principles in food waste management is feasible and beneficial. Effective strategies include bioplastics, insectutilisation, and machine learning models for waste prediction and management. The developed mathematical model suggests efficient waste transportation through a coupled network approach, ensuring rapid and effective waste evacuation. The research highlights the importance of technological integration and cross-sector collaboration for sustainable food waste management. It also stresses the need for robust regulatory frameworks and consumer education to drive behavioural changes and support circular practices
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