Topic 1: Fighting the COVID-19 Pandemic with 5G Technology
Research Aim: The primary aim of the study is to assess how 5G and Internet of Things (IoT) can effectively be used and developed to fight against the COVID-19 pandemic. The study will present its hypotheses using use-cases on 5G and IoT can be enabled to provide innovative solutions in areas of telehealth, contact tracing, education, e-government, information sharing, remote offices, and smart manufacturing. The study will present use-cases in each of these scenarios to present solutions to the instrumental issues identified during the coronavirus pandemic.
Topic 2: Assessing the Prevention and Treatment Methods of COVID-19.
Research Aim: The proposed study aims to develop a taxonomy tree to investigate the methods used for disease confrontation and it associated negative and positive effects. The study will use case studies and systematic literature review to evaluate the methods used against virus outbreak and disease epidemic. The study will examine proposed medical, preventive, detection, prediction, and social methods for the containing the spread of the virus. Data will be collected from academic literature and analysed using meta-analysis techniques.
Topic 3: Examining the Impact of COVID-19 on Office Cost, Efficiency, and Social Responsibility of Businesses.
Research Aim: The aim of the study is to critically analyse current and future impacts of COVID-19 on office design, location, and function with respect to innovative community and occupational health and safety expectations. The study will also explore office efficiency and cost controls with regards to corporate social responsibility. The study will be designed using web-based professional and business reports while also using a questionnaire to collect data. The data will be analysed using historical office trends and PLS-SEM.
Topic 4: Examining Wastewater Risks and Monitoring with Consideration to COVID-19 Pandemic.
Research Aim: The primary aim of the study is to assess the impact to COVID-19 on wastewater. The study will conduct field studies of conventional wastewater treatment facilities. Data collection will be conducted through collection of wastewater treated through conventional methods. It will be assessed for presence of the coronavirus. The study will assess the risk that wastewater may present in the re-emergence of COVID-19 through waterborne or aerosolised wastewater pathways. The study will recommend solutions to improve wastewater treatment methods.
Topic 5: Assessing the Impact of COVID-19 on Online Learning and it Effect on Curriculum Changes.
Research Aim: The aim of the study is to identify and assess the impact of COVID-19 pandemic on online learning specifically on changes to curriculum. The study will assess if learning processes and standards changed due to the COVID-19 pandemic. The study will use qualitative principles to conduct the research. Data will collection will take place through structured interview questions and curriculum content of public schools in the UK. Data analysis will take place using content analysis.
Topic 6: Analysing the Effects of COVID-19 Pandemic on Municipal Solid Waste Management in the UK.
Research Aim: The primary aim of the study is to assess the effects of COVID-19 on contamination risks associated with waste management. The study will review the changes to management of municipal solid wastes during the pandemic. The study will be conducted using mixed methods research techniques. Data will be collected though time-series data and structured interview questions. Data will be analysed using content analysis and inferential statistics.
Topic 7: Assessing the Impact of COVID-19 Pandemic on Global Humanitarian Logistics & Supply Chains.
Research Aim: The study proposes to assess the impact of COVID-19 on humanitarian logistics and supply chain methods. The study will particularly assess the effects of the pandemic on humanitarian supply chains to current conflict areas. The study will use quantitative research techniques for data collection and analysis. Data will be collected using time-series data from global humanitarian organisations. Data will be analysed using inferential statistics.
Topic 8: Examining the Prospect of Blockchain Platform for Vaccine Supply Management.
Research Aim: The study aims to assess the implementation of blockchain technology to assure transparent tracing of COVID-19 vaccine registration, storage and delivery, and side effects self-reporting. The study will examine if the availability of operational and transparent distribution chain that can be audited by all relevant stakeholders effects the success of COVID-19 vaccination campaigns. The study will be conducted using qualitative techniques. Data will be collected and analysed using systematic literature review and meta-analysis.
Topic 9: The Impact of COVID-19 Pandemic on Global Plastic Waste Management Strategies.
Research Aim: The study aims to identify and assess waste management issues faced in developing countries. The study assesses the increase of medical plastic waste and its impact on the civic waste management system. The research is conducted using quantitative techniques, such as data collected from time-series data. The data will be analysed using inferential statistics like ANOVA, MANOVA, and t-testing.
Topic 10: Evaluating the Impact of COVID-19 Pandemic on Local Inns and Motels through Customer Satisfaction Changes.
Research Aim: The primary aim of the study is to assess the impact of the coronavirus pandemic on the customer satisfaction of local inns and motels in the UK. The study will use quantitative research techniques for data collection and analysis. The data will be collected using tourism accommodation survey, CASBEE survey, and importance-performance analysis. The data will be analysed using descriptive and inferential statistics.
Topic 11: Examining the Daily Life of Remote Workers in the UK – Analysing Effects of COVID-19 Pandemic.
Research Aim: The proposed study aims to assess the changes to working routines that affected productivity and well-being of remote workers. The study looks to analyse and understand how a common working day looks when employees are working from home. The study will be conducted using cross-sectional research design. The data will be collected using a Likert-scale questionnaire distributed to remote workers in the UK. The data will be analysed using structured question modelling using partial least squares.
Topic 12: Examining Factors Effecting Agile Operational Performance of COVID-19 Hospitals
Research Aim: The purpose of the study is to assess the factors which impact agile performance of covid-19 hospitals in the UK. The aim is to analyse factors linked to the agility of covid-19 care operations. The study will use Total Interpretive Structural Modelling (TISM) approach to conduct research. Data will be conducted through questionnaire surveys and analysed accordingly.
Topic 13: Analysing the Effect of Coronavirus Pandemic on Supply Disruption and Organisational Performance.
Research Aim: The aim of the study is to assess the relationship of COVID-19 pandemic on supply disruption and organisational performance using the mediating variables of customer satisfaction and productivity. The study will be conducted using cross-sectional survey design. The data will be collected using stratified sampling methods. The data will be analysed using confirmatory factory analysis to assess the model fit of the data. Structural equation modelling will be used for hypotheses testing.
Topic 14: The Effect of COVID-19 on Food Waste Generation.
Research Aim: The study assesses the effect of pandemic conditions on food waste disposal in urban areas. The study aims to analyse food waste, water waste, and energy waste impact on public health and environment. The research is conducted using empirical techniques, such as data collection through time-series data of urban areas. The data will be analysed using inferential statistics.
Topic 15: The Impact of COVID-19 on Critical Care and Frontline Perspectives.
Research Aim: The aim of the study is to explore and describe experiences of urban critical care centres under the COVID-19 pandemic. The study focuses on the initial surge of COVID-19 patients in critical care centres in the USA. The research will focus on variables such as critical care bed capacity, staffing, equipment, and systematic efficiency. The data is collected using time-series data and Likert-scale questionnaire surveys. Data is analysed using inferential statistics and structural equation modelling.
Topic 16: Online Learning Services for Students to Educate During Covid-19.
Research Aim: The thesis explores how the pandemic of coronavirus is pervasive and how lockdown has affected kindergarten, university, and school education for many students. This research describes the online services that are delivered through all networks, classrooms, universities, and colleges. the study will discuss how students can benefit from it.
Topic 17: COVID-19 Concerns and Solutions: How does Procurement Support the Pandemic Response of the World Bank?
Research Aim: The study examines the commitment of the World Bank Group to a rapid and scalable response to the disease outbreak of coronavirus. In every area, from health care and education to trade and technology, funding, advisory services, and technical support are available. We will discuss how numerous teams in the World Bank Community are tackling the potential problems in this research report.
Topic 18: Research to Define Protective Measures in Petroleum and Gas Sectors for Employees.
Research Aim: The study attempts to assess whether safety standards for employees in the oil and gas industry are followed. What are the obstacles to keep the emotional distance between employees? How will these problems be overcome?
Topic 19: Suggestions Regarding COVID-19/Coronavirus Epidemic for Risk Managers and Businesses.
Research Aim: The study examines the outbreak of Covid-19 and how the rapid change in the condition of corporations and risk control is occurring. In addition to the apparent public health threats, research revolves around the significant disruption-related effects on transport and opening constraints organizations, canceling activities, staff issues, disturbances to the supply chain, uncertainty on the business, financial and cash flow problems. During the Covid19/Coronavirus epidemic, this research report will discuss issues for industries and risk managers.
Topic 20: Investigation of The Effects of Coronavirus on Banks and The Sustainability of Banking Following the Pandemic.
Research Aim: This thesis is intended to describe the effects of coronaviruses on banks and the potential of banking after the pandemic. What's the forecast? What are the challenges? How will these problems be overcome? This study can also cover their domain that what steps banks are taking to keep their staff from getting infected.
Topic 21: Contractors and Constructors After Covid-19: Sector, Tendering, and Business Planning.
Research Aim: The goal of this research is to classify builders' and contractor's conditions. What is your intention to address the crisis in COVID-19? How did this impact the private sector and tenders?
Topic 22: Coronavirus: Dubai Tourism Emphasizes the Wellbeing of The Emirate's Hotel Industry, Denying Bloomberg Research, But Is This the Situation?
Research Aim: The Dubai Tourism and Commerce Department has dismissed a Bloomberg study on the adverse effect in the coronaviral pandemic of the Emirates' hospitality companies. The main analysis method will be used to collect data from selected stakeholders in the hotel business across Emirates to evaluate whether the current Covid-19 crisis is triggering distress and financial harm to the hotel sector.