Dr Muhammad Salman Rashid staff profile picture

Contact details +6492136269

Dr Muhammad Salman Rashid PhD

Lecturer

Doctoral Co-Supervisor
School of Management

Dr. Salman Rashid is a lecturer in human resource management and employment relations at Massey University. Before joining Massey, he was a teaching fellow at the University of Waikato. Salman holds a PhD in human resource management and organizational behavior from Auckland University of Technology, New Zealand. His research focuses on the role of emotions in the workplace. Salman’s research has featured in highly-ranked journals and conferences. Salman has taught in areas of human resource management, leadership, organizational behavior and international business. He is an active member of Te Pūnaha Matatini (TPM) research group. 

Professional

Contact details

  • Ph: +6492136269
    Location: 06, QA3
    Campus: Auckland

Qualifications

  • Doctor of Philosophy - Auckland University of Technology (2022)

Certifications and Registrations

  • Licence, Co-Supervisor, Massey University

Research Expertise

Research Interests

  • Affective Influences in Leadership and Followership
  • Work-life Balance of Dual-Career Couples
  • Social and Relational Dynamics of Absenteeism and Presenteeism 
  • Sustainability Perceptions and Behaviors of Employees
  • Work-related Stress, Eating and Sleep-quality 
  • HR Analytics

Thematics

Resource Development and Management, Health and Well-being

Area of Expertise

Field of research codes
Business and Management (150300): Commerce, Management, Tourism And Services (150000): Human Resources Management (150305): Industrial Relations (150306): Organisation and Management Theory (150310): Organisational Behaviour (150311)

Research Outputs

Journal

Rashid, MS., Haar, J., Rashid, MS., & Shami, GM. (2022). Work Demands, Work-Life Balance and Affect: A Study of Pakistan Managers. New Zealand Journal of Human Resources Management. 22(1), 32-45 Retrieved from https://www.hrnz.org.nz/nzjhrm/articles/2022
[Journal article]Authored by: Haar, J., Rashid, M.

Thesis

Rashid, MS. (2022). The Role of Affect in Understanding Leaders’ Influence on Followers and How Followers Can Influence Leaders. (Doctoral Thesis) Rashid, MS. (2022). The Role of Affect in Understanding Leaders’ Influence on Followers and How Followers Can Influence Leaders. (Doctoral Thesis)
[Doctoral Thesis]Authored by: Rashid, M.Edited by: Haar, J.

Conference

Haar, J., Brougham, D., Rashid, MS., Daellenbach, U., Davenport, S., & Leitch, S.Does a bureaucratic climate have a double edge? Testing Effects on Workplace Behaviours in New Zealand. . Wellington School of Business and Government
[Conference Paper]Authored by: Brougham, D., Haar, J., Rashid, M.
Rashid, M., & Haar, J.Reversing the Lens! Exploring Followers' Affective Influences on Leaders. . Auckland, New Zealand
[Conference Paper]Authored by: Haar, J., Rashid, M.

Other

Rashid, MS. (2022). Leadership Affective Influences on Followers: A Daily Diary Study.
[Other]Authored by: Rashid, M.

Consultancy and Languages

Languages

  • English
    Last used: Recently
    Spoken ability: Excellent
    Written ability: Excellent
  • Urdu
    Last used: Recently
    Spoken ability: Excellent
    Written ability: Excellent
  • Punjabi
    Last used: Recently
    Spoken ability: Excellent
    Written ability: Average

Teaching and Supervision

Teaching Statement

My goal in teaching is to create a learning environment that fosters the intellectual and social growth of students. I strongly believe in providing academic support and resources to help students succeed in their academic endeavors. My classroom approach is based on incorporating contemporary theory with real-world application. 

Graduate Supervision Statement

Dr Salman Rashid is available for Masters and Doctorial supervision.


Dr Muhammad Salman Rashid is available for Masters and Doctorial supervision.

Summary of Doctoral Supervision

Position Current Completed
Co-supervisor 1 0

Current Doctoral Supervision

Co-supervisor of:

  • Eranjana Kathriarachchige Don - Doctor of Philosophy
    The Perceptions of risks related to building user profiling the impact of inaccuracies and the perception of these risks in the governance of recommender systems.