Algorithmic Ghost in the Research Shell: Large Language Models and Academic Knowledge Creation in Management Research
Computation and Language
2023-03-14 v1
Abstract
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.
Cite
@article{arxiv.2303.07304,
title = {Algorithmic Ghost in the Research Shell: Large Language Models and Academic Knowledge Creation in Management Research},
author = {Nigel Williams and Stanislav Ivanov and Dimitrios Buhalis},
journal= {arXiv preprint arXiv:2303.07304},
year = {2023}
}
Comments
14 pages