Dual-Horizon Quality Assurance for MBA and Doctoral Management Education: A Quality 5.0 Framework
DOI:
https://doi.org/10.12776/qip.v30i2.2409Keywords:
quality 5.0, postgraduate management education, human capital, assurance of learning, workplace transferAbstract
Purpose: This paper develops a quality-assurance architecture for comparing the added value of Master of Business Administration (MBA) and doctoral management education when application-oriented and research-oriented capabilities create organisational value through different mechanisms and time horizons.
Methodology/Approach: A targeted, mechanism-based conceptual synthesis integrates human-capital theory, educational-quality and assurance literature, workplace-transfer research, doctoral-education scholarship, and Quality 5.0. Sources are selected for direct construct relevance and integrated through a transparent six-layer mapping process.
Findings: The framework links programme purpose, capability formation, transfer context, near-term application, long-term capability, and organisational value. Its maturity levels and propositions show that apparent pathway superiority depends on outcome, context, and observation horizon.
Research Limitation/Implication: The framework requires empirical validation. A balanced initial target of 60 MBA and 60 doctoral management graduates is proposed for exploratory matched comparison; an a priori power analysis must confirm or increase the sample before fieldwork.
Originality/Value of paper: The model replaces credential ranking with human-centred, auditable, and time-sensitive quality assurance for programme design, employer dialogue, and continuous improvement.
References
AACSB International. (2020). 2020 guiding principles and standards for business accreditation. Tampa, FL: Author. Retrieved from https://www.aacsb.edu/-/media/documents/accreditation/2020-aacsb-business-accreditation-standards-jul-1-2022.pdf
Baldwin, T. T., & Ford, J. K. (1988). Transfer of training: A review and directions for future research. Personnel Psychology, 41(1), 63–105. https://doi.org/10.1111/j.1744-6570.1988.tb00632.x
Banerjee, S., & Morley, C. (2013). Professional doctorates in management: Toward a practice-based approach to doctoral education. Academy of Management Learning & Education, 12(2), 173–193. https://doi.org/10.5465/amle.2012.0159
Becker, G. S. (1993). Human capital: A theoretical and empirical analysis, with special reference to education (3rd ed.). Chicago, IL: University of Chicago Press.
Biggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education, 32(3), 347–364. https://doi.org/10.1007/BF00138871
Blume, B. D., Ford, J. K., Baldwin, T. T., & Huang, J. L. (2010). Transfer of training: A meta-analytic review. Journal of Management, 36(4), 1065–1105. https://doi.org/10.1177/0149206309352880
Bucci, I., Fani, V., Rossi, M., Bandinelli, R., & Tucci, M. (2026). Quality 5.0: A systematic literature review and a gap-driven research agenda. The TQM Journal. Advance online publication. https://doi.org/10.1108/TQM-12-2025-0747
Creaton, J., & Anderson, V. (2021). The impact of the professional doctorate on managers' professional practice. The International Journal of Management Education, 19(1), Article 100461. https://doi.org/10.1016/j.ijme.2021.100461
European Commission. (2021). Industry 5.0: Towards a sustainable, human-centric and resilient European industry. Luxembourg: Publications Office of the European Union. https://doi.org/10.2777/308407
Harvey, L., & Green, D. (1993). Defining quality. Assessment & Evaluation in Higher Education, 18(1), 9–34. https://doi.org/10.1080/0260293930180102
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human–AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007
Neumann, R. (2005). Doctoral differences: Professional doctorates and PhDs compared. Journal of Higher Education Policy and Management, 27(2), 173–188. https://doi.org/10.1080/13600800500120027
Orbánová, I., & Urbančíková, N. (2026). Skills ecosystem misalignment in emerging technology sectors. Quality Innovation Prosperity, 30(1), 84–101. https://doi.org/10.12776/qip.v30i1.2342
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
UNESCO. (2023). Guidance for generative AI in education and research. Paris, France: UNESCO. https://doi.org/10.54675/EWZM9535
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