Question: rewrite the following in academic form and make it zero AI percentage: Problem Statements: The integration of sustainability practices and technology in project management has

rewrite the following in academic form and make it zero AI percentage:
"Problem Statements: The integration of sustainability practices and technology in project management has gained significant traction in recent years. However, there is a critical gap in understanding the actual impact of these integrations on project efficiency and long-term outcomes. This lack of comprehensive knowledge extends to the potential challenges and trade-offs associated with implementing sustainable and technological solutions in project management. Furthermore, the cost implications of adopting such measures, particularly their long-term effects on project success, are not well-documented. This research aims to address these gaps by investigating how the integration of sustainability practices and technology influences project efficiency and overall success, identifying potential challenges and trade-offs, and examining the extent to which associated costs affect a project's overall feasibility and long-term success. By employing a mixed-methods approach, including a systematic literature review, case study analysis, surveys, interviews, and comparative analysis, this study seeks to provide a comprehensive understanding of the complex interplay between sustainability, technology, and project management in the context of the UAE and global trends. Research Questions: 1. How does the integration of sustainability practices and technology influence project efficiency and overall success in project management? 2. What are the potential challenges and trade-offs associated with implementing sustainable and technological solutions in project management? 3. To what extent do the costs associated with adopting sustainability measures and advanced technologies in project management affect the project's overall feasibility and long-term success? Research Method: Data Collection: The data collection process will involve multiple methods to ensure a comprehensive understanding of the research topic. First, a systematic literature review will be conducted to gather existing knowledge on the integration of sustainability practices and technology in project management. This will involve searching academic databases using relevant keywords and applying inclusion/exclusion criteria to select appropriate studies. Case study analysis will be performed on selected projects in the UAE that have implemented sustainability practices and technology in their management processes. This will involve collecting project documentation, reports, and performance metrics. Surveys will be distributed to project managers, team members, and stakeholders involved in sustainable and technology-driven projects. The surveys will gather quantitative data on project efficiency, challenges faced, and perceived success rates. Finally, comparative analysis will be performed by collecting data from similar projects globally to benchmark UAE practices against international standards and trends. Data Analysis: The data analysis will employ both qualitative and quantitative methods to process the collected information. The systematic literature review findings will be synthesized using content analysis techniques to identify key themes, trends, and gaps in existing research. Case study data will be analyzed using a cross-case analysis approach to identify common patterns, challenges, and success factors across different projects. This will involve coding and categorizing the collected information to extract meaningful insights. Survey responses will be analyzed using statistical methods, including descriptive statistics and inferential analyses such as correlation and regression, to identify relationships between variables such as sustainability practices, technology integration, project efficiency, and success rates. The comparative analysis will involve benchmarking UAE projects against global standards using statistical comparisons and qualitative assessments to identify areas of strength and potential improvement in the local context. Finally, the results from all data analysis methods will be triangulated to ensure the validity and reliability of the findings, providing a comprehensive understanding of the research questions and addressing the identified gaps in knowledge."

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