PhD Research Training Process: Impact of Generative AI on Completion Time and Rate

PhD Research Training Process: Impact of Generative AI on Completion Time and Rate

Fu Dai (Excelsia College, Australia), Sarah Eyaa (Excelsia College, Australia), Andrew Levula (Excelsia College, Australia), and Ian Eddie (Excelsia College, Australia)
Copyright: © 2025 | Pages: 28
DOI: 10.4018/979-8-3693-4175-9.ch008

Abstract

This chapter articulates the strategies supervisors implement to play a pivotal role in guiding their PhD students in conducting organization and management research in Australian universities. It applies the talent-development-in-achievement-domains (TAD) framework to analyze PhD training programs and identify the challenges of the PhD program in the Business Schools of Australian universities. In this chapter, the authors reviewed relevant literature, visited the websites of ten business schools at Australian universities and five websites of international universities' business schools, investigated their PhD programs, and found the common objective of their PhD programs was to develop PhD candidates' capabilities of producing new knowledge. The prevalent challenges identified in Australian universities are PhD completion time and PhD completion rate. This chapter recommends taking advantage of Generative AI technology to respond to the challenges and mentions more challenges derived from introducing generative AI technology to the PhD program at Australian universities.
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