Contact details +6469517916
Dr Majid Khan PhD
Lecturer of Management and Sustainable Business
Doctoral Co-Supervisor School of Management and MarketingMajid's research examines how structural conditions produce and sustain labour exploitation, with a particular focus on bonded and forced labour in agrarian and industrial settings. Drawing on extended multi-sited fieldwork, his research engages questions of power, moral economy, and the everyday practices through which workers navigate coercive arrangements. He is also interested in sustainability communication and praxis, and in alternative forms of organising that challenge mainstream managerial assumptions.
Methodologically, Majid is committed to qualitative and ethnographic approaches. He has conducted in-depth interviews and sustained participant observation in contexts ranging from tobacco farming to brick kilns. This empirical grounding shapes a research programme that takes seriously both theoretical rigour and the lived realities of people in precarious work. Recent work explores the use of film and visual methods as research tools.
His work is published in journals including Work, Employment and Society, International Journal of Human Resource Management, Qualitative Research in Accounting and Management, Emerging Markets Review, Qualitative Research in Organizations and Management, and Human Resource Development International, among others.
Majid serves as Associate Editor at Human Resource Development International (HRDI) and the Journal of Sustainable Business. He is an active ad hoc reviewer for a number of leading international journals, including the Journal of Management Studies, Journal of Organizational Behavior, Journal of Business Ethics, the International Journal of Human Resource Management, and Personnel Review, among others.
Majid Khan is a Lecturer in Management and Sustainable Business at Massey University's School of Management. He holds a PhD in Management from Massey and previously held positions at NUST and Xiamen University. His research examines labour exploitation, bonded labour, and coercive work arrangements in various contexts, using qualitative and ethnographic methods. He is also interested in sustainability communication and alternative organising. Majid serves as Associate Editor at Human Resource Development International and the Journal of Sustainable Business.
Professional
Contact details
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Location: 2.08, Business Studies Central
Campus: Manawatu
Qualifications
- Doctor of Philosophy - Massey University (2020)
Certifications and Registrations
- Licence, Co-Supervisor, Massey University
Research Expertise
Research Interests
- Bonded labour
- Forced labour
- Labour exploitation
- Qualitative research methods
- Mixed-methods
- Visual and film-based methodology
- Sustainability communication
- Corporate social responsibility
- Alternative organising
- Business ethics
- Power and resistance
- Supply chain ethics
- Business and society
Thematics
21st Century Citizenship
Area of Expertise
Field of research codes
Business and Management (150300):
Commerce, Management, Tourism And Services (150000):
Corporate Governance and Stakeholder Engagement (150303):
Organisation and Management Theory (150310):
Organisational Behaviour (150311)
Research Outputs
Journal
[Journal article]Authored by: Khan, M.
[Journal article]Authored by: Khan, M.
[Journal article]Authored by: Bensemann, J., Khan, M.
[Journal article]Authored by: Khan, M., Nazir, O.
[Journal article]Authored by: Khan, M.
[Journal article]Authored by: Khan, M.
[Journal article]Authored by: Khan, M.
[Journal article]Authored by: Khan, M., Ramsey, P.
[Journal article]Authored by: Khan, M.
[Journal article]Authored by: Bensemann, J., Khan, M.
[Journal article]Authored by: Brougham, D., Khan, M.
[Journal article]Authored by: Bathurst, R., Khan, M.
[Journal article]Authored by: Khan, M.
[Journal article]Authored by: Bathurst, R., Khan, M.
[Journal article]Authored by: Bathurst, R., Khan, M.
Book
[Chapter]Authored by: Khan, M.

[Chapter]Authored by: Khan, M.
[Chapter]Authored by: Khan, M.
[Chapter]Authored by: Khan, M., Nazir, O.
[Chapter]Authored by: Khan, M.Edited by: Bathurst, R.
Conference
[Conference Other]Authored by: Khan, M.Contributed to by: Khan, M.

[Conference]Authored by: Khan, M.
[Conference Paper]Authored by: Khan, M.

[Conference Paper]Authored by: Khan, M.
[Conference Paper]Authored by: Khan, M.

[Conference Paper]Authored by: Khan, M.
[Conference Paper]Authored by: Khan, M.
[Conference Paper]Authored by: Khan, M.
[Conference Paper]Authored by: Khan, M.
Teaching and Supervision
Teaching Statement
Majid is committed to teaching that connects scholarly ideas to the pressing challenges of contemporary business and society. His courses draw on real-world cases and critical perspectives to prepare students for a world in which questions of sustainability, ethics, and social responsibility are increasingly central to organisational life. Whether teaching in person or online, he aims to create learning environments that are intellectually stimulating, practically grounded, and inclusive. His broader goal is to equip students not only with relevant knowledge and skills, but with the capacity to think critically and independently beyond the classroom.
Courses Coordinated
- Sustainable Business Operations (115340)
- Business and Sustainability (152704)
- Managing Oganisations (152250)
- Integrative Management - capstone (152399)
- Sustainability Issues and Challenges (152355)
- Business and Society (152203)
- Diversity, Equity and Inclusion in the Workplace (114330)
- Fundamentals of Leadership and Teamwork (115212) - Tutor
- Business Ethics
Graduate Supervision Statement
Completed Masters Supervision
1. Komal Sajjad (2022)
2. Kiran Taj (2023)
3. Muhammad Hashir (2023)
4. Geo Vincent Olakkengil
5. Xiaoyue Zhang
Dr Majid Khan is available for Masters and Doctorial supervision.
Summary of Doctoral Supervision
| Position | Current | Completed |
|---|---|---|
| Co-supervisor | 1 | 0 |
Current Doctoral Supervision
Co-supervisor of:
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Negarsadat Mousavitaghiabadi
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Doctor of Philosophy
Exploring the Implementation of AI-Driven Circular Business Models in New Zealand's Local Fashion Sector

