@inproceedings{c7fca84875d84203b65f473e41b564e6,
title = "Literature Review: Artificial Intelligence Adoption Within the Accounting Profession Applying the Technology Acceptance Model (3)",
abstract = "The rapid advancements in artificial intelligence (AI) technologies have significantly impacted various industries, including the accounting profession. This paper examines the adoption of AI in the accounting profession using the Technology Acceptance Model (TAM) as a framework. The TAM provides a theoretical foundation to understand the factors influencing the acceptance and adoption of AI in accounting, including perceived usefulness, perceived ease of use, attitudes towards AI, and external factors. The paper also discusses the implications of AI adoption for accountants and the challenges associated with integrating AI into accounting practices. Finally, recommendations are provided to facilitate successful AI adoption in the accounting profession.",
keywords = "Accounting, Artificial intelligence, ChatGPT, Digitisation, Innovation, Technology, Technology Acceptance Model (TAM 3)",
author = "Kenneth Kayser and Arnesh Telukdarie",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference of Accounting and Business, iCAB 2023 ; Conference date: 29-06-2023 Through 30-06-2023",
year = "2024",
doi = "10.1007/978-3-031-46177-4_12",
language = "English",
isbn = "9783031461767",
series = "Springer Proceedings in Business and Economics",
publisher = "Springer Nature",
pages = "217--231",
editor = "Tankiso Moloi and Babu George",
booktitle = "Towards Digitally Transforming Accounting and Business Processes - Proceedings of the International Conference of Accounting and Business iCAB, Johannesburg 2023",
address = "United States",
}