Algorithmic Ghost in the Research Shell: Large Language Models and Academic Knowledge Creation in Management Research
It addresses the role of LLMs in enhancing academic productivity in management research, though it is incremental as it synthesizes existing usage rather than proposing new methods.
The paper examines how large language models (LLMs) like GPT assist in academic knowledge creation tasks such as writing and editing, based on a scoping review from 2018 to 2023, identifying pathways for their future integration as co-writers, research assistants, and respondents.
The paper looks at the role of large language models in academic knowledge creation based on a scoping review (2018 to January 2023) of how researchers have previously used the language model GPT to assist in the performance of academic knowledge creation tasks beyond data analysis. These tasks include writing, editing, reviewing, dataset creation and curation, which have been difficult to perform using earlier ML tools. Based on a synthesis of these papers, this study identifies pathways for a future academic research landscape that incorporates wider usage of large language models based on the current modes of adoption in published articles as a Co-Writer, Research Assistant and Respondent.