Disclaimer: These are only a few indicative areas. You are not required to limit yourself to them. Scholars are encouraged to discuss with their supervisor to explore and refine a research area that closely aligns with their interests and academic goals.
Research in HR, Leadership & Psychology can explore leadership effectiveness, employee motivation, workplace culture, and talent retention. Key areas include emotional intelligence in leadership, the impact of remote work, diversity and inclusion, mental health in organisations, and performance management.
Please note that the titles listed below are indicative in nature. Scholars are encouraged to explore and identify their own areas of passion and research interest.
The following topics are intended to serve as a guide and provide direction in shaping their research focus.
Title 1
Unspoken Intelligence: A Case-Based Exploration of How Emotionally Intelligent Leadership Navigates Organisational Turbulence
Methodology
Case study, Qualitative
Description
This study will explore how emotionally intelligent (EI) leaders respond to organisational crises, ambiguity, and employee disengagement using semi-structured interviews and in-depth case studies across select industries. By capturing narratives from senior professionals and middle managers, the study seeks to understand the behavioural patterns and adaptive strategies rooted in EI during organisational turbulence. Thematic analysis will uncover contextual applications of EI beyond conventional models, especially under volatile business environments.
Key References:
Title 2
Decoding Influence: Assessing the Mediating Role of Emotional Intelligence Between Leadership Styles and Employee Performance Outcomes
Methodology
Quantitative - Survey-based using Structural Equation Modelling (SEM)
Description
This research aims to quantitatively examine how EI mediates the relationship between transformational and transactional leadership styles and employee performance metrics (e.g., engagement, productivity, and job satisfaction). Using validated questionnaires distributed to mid-to-senior-level professionals across various industries, the study will employ SEM to assess direct and indirect pathways, offering insights into how different leadership styles leverage EI to drive organisational performance.
Key References:
Title 3
Bridging the Rational and the Relational: A Mixed-Methods Investigation into Emotional Intelligence as a Strategic Asset in Industrial Leadership
Methodology
Explanatory Sequential Mixed Methods (Quantitative → Qualitative)
Description
The study first uses a structured survey with SEM analysis to determine the relationship between leaders' EI and key organisational outcomes such as innovation adoption, team cohesion, and decision-making agility. Subsequently, selected participants will be interviewed to contextualise and deepen understanding of the quantitative results. The qualitative phase will explore how EI is operationalised and perceived as a strategic capability by leaders in high-pressure industry settings, such as manufacturing, IT, and logistics.
Key References:
Title 4
Unpacking the Narratives of Inclusive Leadership: A Phenomenological Study of Diverse Employee Experiences Across Organisational Tiers
Methodology
Qualitative - In-depth interviews and semi-structured focus groups, analysed using thematic analysis and phenomenology.
Description
This study explores how employees from diverse backgrounds (in terms of gender, ethnicity, age, and neurodiversity) perceive and experience inclusive leadership within mid to large-sized firms. It aims to understand lived experiences rather than measure predefined constructs. The study will identify patterns in inclusive behaviours, leadership blind spots, and employee sentiments that are often overlooked in survey-based assessments. This is ideal for professionals in senior HR or leadership roles with access to diverse teams across organisational levels.
Key References:
Title 5
Linking Perceived Inclusion to Psychological Safety and Innovation Behaviour: A Structural Equation Modelling Approach Across Industry Sectors
Methodology
Quantitative - Questionnaire-based survey analysed using Structural Equation Modelling (SEM).
Description
This research quantitatively investigates the relationship between employees' perception of inclusion, their sense of psychological safety, and their innovation behaviour at work. The model will test mediating roles and sector-specific variations across industries like IT, manufacturing, and healthcare. The SEM framework allows testing both direct and indirect effects, enabling working professionals to draw actionable insights for improving D&I practices that foster innovation.
Key References:
Title 6
The Diversity Dividend: A Mixed Methods Investigation of Inclusive Leadership's Impact on Team Dynamics and Performance Outcomes
Methodology
Mixed Methods - Quantitative survey with SEM followed by qualitative case studies using semi-structured interviews.
Description
This study evaluates how inclusive leadership impacts team dynamics (trust, communication, role clarity) and performance outcomes (collaboration effectiveness, goal attainment). The first phase uses SEM to validate the relationships among these constructs across different departments or branches. The second phase involves case-based interviews with high- and low-performing teams to add contextual richness. This approach allows professionals to demonstrate both measurable impact and nuanced organisational insights.
Key References:
Title 7
Beyond Resilience: Uncovering the Lived Experiences of Psychological Strain and Coping Among Middle Managers in High-Pressure Industries
Methodology
Exploratory qualitative study using in-depth semi-structured interviews and thematic analysis (Clarke & Braun approach) across multiple organisations.
Description
This study investigates how middle managers in fast-paced sectors (e.g., IT, manufacturing, and logistics) experience, interpret, and respond to prolonged psychological stress. It explores workplace triggers of mental strain, informal coping mechanisms, and the influence of organisational culture and leadership behaviour on mental well-being. The focus is on capturing deep, nuanced narratives that can inform practical, leadership-driven interventions.
Key References:
Title 8
Evaluating the Impact of Compassionate Leadership on Employee Burnout and Psychological Well-being: A Structural Equation Modelling Approach
Methodology
Quantitative research using survey data collected from employees across service industries, analysed using Structural Equation Modelling (SEM).
Description
This study examines the relationships between compassionate leadership behaviours, emotional exhaustion, and psychological well-being. It tests a theoretical model where perceived compassionate leadership predicts lower burnout and enhanced psychological resilience, while accounting for moderating variables like workload and organisational support. The findings aim to provide empirical evidence for leadership development programmes focused on mental health support.
Key References:
Title 9
Mental Health as a Strategic HR Asset: A Mixed-Methods Study of Policy Effectiveness, Organisational Climate, and Employee Engagement
Methodology
Sequential explanatory mixed-methods design. Quantitative phase using SEM followed by qualitative focus groups.
Description
This research evaluates how formal mental health policies (e.g., EAPs, flexible work policies) influence employee engagement and organisational commitment through the mediating role of psychological safety. The first phase involves large-scale data collection and SEM analysis across multiple firms; the second phase dives deeper through focus group discussions to explore why and how policies succeed or fail in different organisational climates. The goal is to bridge policy design with lived employee realities for scalable mental health interventions.
Key References:
Title 10
Unveiling the Psychological Contracts Behind Performance Management: A Multi-Industry Case Analysis of Managerial Sensemaking
Methodology
Case study. Qualitative Study using semi-structured in-depth interviews and thematic analysis.
Description
This study explores how managers interpret and implement performance management practices through the lens of psychological contracts in varying organisational cultures. By investigating perceptions across different sectors (e.g., manufacturing, IT, and healthcare), the research reveals how implicit beliefs, trust dynamics, and leadership psychology shape performance management effectiveness. The findings can guide HR in aligning formal processes with employee expectations and workplace realities.
Key References:
Title 11
The Interplay of Emotional Intelligence, Leadership Style, and Performance Management Effectiveness: A Structural Equation Modelling Approach
Methodology
Quantitative - survey-based study using SEM
Description
This research empirically examines the direct and mediated relationships between leaders' emotional intelligence, leadership styles (transformational vs. transactional), and perceived performance management outcomes (e.g., fairness, goal clarity, feedback utility). Drawing from leadership psychology and HRM literature, the study collects data from team leaders and subordinates across service-oriented industries, providing actionable insights on the psychological underpinnings of performance improvement.
Key References:
Title 12
Redesigning Performance Management in the Era of Hybrid Work: An Integrated Study of System Design and Employee Behaviour
Methodology
Sequential explanatory mixed methods - quantitative survey followed by qualitative focus groups
Description
The study first quantitatively investigates how key variables - autonomy, digital communication quality, and feedback frequency - impact employee performance outcomes in hybrid work models using SEM. It then follows up with focus groups to explore lived experiences of employees and suggestions for redesigning PM systems. The mixed design provides both breadth and depth in understanding how to optimise performance management for hybrid and remote work realities.
Key References:
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