Reflecting on the Impact of Generative AI for Sustainability Accounting Scholarship

Our yearly editorial is dedicated to reflections concerning two recent digitalisation-based developments, both of which are currently radically transforming the publishing arena. We begin by considering the rapid emergence of generative Artificial Intelligence (AI) models known as Large Language Mod...

Full description

Saved in:
Bibliographic Details
Published in:Social and environmental accountability journal 2024-09, Vol.44 (3), p.181-192
Main Authors: Apostol, Oana, Dey, Colin, Thomson, Ian
Format: Article
Language:English
Subjects:
accountability
bibliometrics
Editorial
literature review
methodology
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Our yearly editorial is dedicated to reflections concerning two recent digitalisation-based developments, both of which are currently radically transforming the publishing arena. We begin by considering the rapid emergence of generative Artificial Intelligence (AI) models known as Large Language Models (LLMs), which have already had tremendous effects on academic knowledge production. In this context, we clarify our stance on the use of AI in articles submitted to Social & Environmental Accountability Journal (SEAJ) and reviews conducted for the journal. We then continue by taking a closer look at the proliferation of systematic literature reviews, in their multiple versions, e.g. bibliometric-based reviews, which are submitted to the journal in increasing numbers. We use this editorial to revisit our editorial policy and outline the kind of submissions welcomed at SEAJ.
ISSN:0969-160X
2156-2245
DOI:10.1080/0969160X.2024.2418574