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Five Human Resource Management Dissertation Topics for 2024

Here are five dissertation topics in the field of Human Resource Management (HRM) for 2024, along with justifications, research aims, literature reviews, methodologies, and data collection/data analysis suggestions:

1. Topic: The Impact of Remote Work on Employee Productivity and Well-being

  • Dissertation Topic Justification: The COVID-19 pandemic has accelerated the adoption of remote work. Investigating how remote work arrangements influence employee productivity and well-being is essential for HRM.
  • Research Aim: This research aims to analyze the effects of remote work on employee productivity, job satisfaction, work-life balance, and mental health.
  • Literature Review: Review literature on remote work trends, telecommuting, employee well-being, and the factors affecting remote work outcomes.
  • Methodology: Conduct surveys, interviews, and productivity assessments to study the impact of remote work arrangements on employees.
  • Data Collection Methods: Collect data through employee surveys, interviews, and performance metrics.
  • Data Analysis Suggestions: Utilize regression analysis, employee engagement surveys, and productivity metrics to assess the impact of remote work on employee well-being and productivity.

2. Topic: Diversity and Inclusion Initiatives in Multinational Corporations

  • Dissertation Topic Justification: Diversity and inclusion are critical for organizational success. Investigating the effectiveness of diversity and inclusion programs in multinational corporations (MNCs) is important for HRM.
  • Research Aim: This research aims to assess the implementation of diversity and inclusion initiatives in MNCs, their impact on workforce diversity, and their effects on organizational performance.
  • Literature Review: Review literature on diversity and inclusion, MNCs, and the role of diversity in organizational success.
  • Methodology: Conduct case studies, employee surveys, and diversity program evaluations to study diversity and inclusion initiatives in MNCs.
  • Data Collection Methods: Collect data through interviews with HR leaders, employee surveys, and analysis of diversity program outcomes.
  • Data Analysis Suggestions: Utilize qualitative case study analysis, regression analysis, and diversity program effectiveness metrics to evaluate the impact of diversity and inclusion initiatives in MNCs.

3. Topic: Talent Management and Succession Planning in High-Tech Startups

  • Dissertation Topic Justification: Talent management and succession planning are crucial for the sustainability of high-tech startups. Investigating talent acquisition, development, and retention strategies is vital for HRM.
  • Research Aim: This research aims to analyze talent management and succession planning practices in high-tech startups, focusing on talent acquisition strategies, leadership development, and the effectiveness of succession plans.
  • Literature Review: Review literature on talent management, succession planning, high-tech startups, and the challenges of talent retention in the tech industry.
  • Methodology: Conduct surveys, interviews with startup leaders, and talent development program evaluations to study talent management and succession planning in high-tech startups.
  • Data Collection Methods: Collect data through interviews with startup founders, surveys of employees, and analysis of talent development programs.
  • Data Analysis Suggestions: Utilize regression analysis, leadership assessment tools, and program effectiveness metrics to assess talent management and succession planning strategies in high-tech startups.

4. Topic: Employee Well-being and Organizational Performance

  • Dissertation Topic Justification: Employee well-being is linked to organizational outcomes. Investigating the relationship between employee well-being, job satisfaction, and organizational performance is critical for HRM.
  • Research Aim: This research aims to examine how employee well-being, including physical and mental health, job satisfaction, and work-life balance, impacts organizational performance indicators such as productivity, retention, and innovation.
  • Literature Review: Review literature on employee well-being, job satisfaction, organizational performance, and the factors influencing employee health and job satisfaction.
  • Methodology: Conduct longitudinal studies, employee surveys, and performance assessments to study the impact of employee well-being on organizational outcomes.
  • Data Collection Methods: Collect data through employee surveys, health assessments, and analysis of organizational performance metrics.
  • Data Analysis Suggestions: Utilize regression analysis, longitudinal data analysis, and employee engagement surveys to assess the relationship between employee well-being and organizational performance.

5. Topic: Employee Training and Development in the Era of Digital Transformation

  • Dissertation Topic Justification: Digital transformation is changing the skills required in the workforce. Investigating the effectiveness of employee training and development programs in adapting to digital change is essential for HRM.
  • Research Aim: This research aims to assess how organizations design and implement employee training and development programs to address the skills gap created by digital transformation.
  • Literature Review: Review literature on employee training, digital transformation, skills development, and the role of continuous learning in the digital era.
  • Methodology: Conduct surveys, training program evaluations, and skills assessments to study the effectiveness of employee training and development in the context of digital transformation.
  • Data Collection Methods: Collect data through employee surveys, training program evaluations, and analysis of skills development outcomes.
  • Data Analysis Suggestions: Utilize regression analysis, skills assessment tools, and program effectiveness metrics to evaluate the impact of training and development programs in the digital era.

These dissertation topics in Human Resource Management encompass a range of critical research areas, including remote work, diversity and inclusion, talent management in startups, employee well-being, and digital transformation in training and development, providing valuable avenues for advancing knowledge in the field in 2024.

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