AI adoption and labor cost stickiness: based on natural language and machine learning-Reference-Cited by-同舟云学术

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AI adoption and labor cost stickiness: based on natural language and machine learning

Published:2023-08-10 Issue: Volume: Page:
ISSN:1385-951X
Container-title:Information Technology and Management
language:en
Short-container-title:Inf Technol Manag

Author:

Wang Haonan^ORCID,Qiu Fangjuan

Funder

Special Science Foundation of the Education Department of Shaanxi

2021 Special Natural Science Fund of Xi’an University of Architecture and Technology

Publisher

Springer Science and Business Media LLC

Subject

Business, Management and Accounting (miscellaneous),Communication,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s10799-023-00408-9.pdf

Reference83 articles.

1. Frey CB, Osborne MA (2017) The future of employment: How susceptible are jobs to computerisation? Technol Forecast Soc Change 114:254–280

2. Tschang FT, Almirall E (2021) Artificial Intelligence as augmenting automation: implications for employment. Acad Manag Perspect 35(4):642–659

3. Raisch S, Krakowski S (2021) Artificial Intelligence and management: the automation–augmentation paradox. Acad Manag Rev 46(1):192–210

4. Tarafdar M, Beath CM, Ross JW (2019) Using AI to enhance business operations. MIT Sloan Manag Rev 60(4):37–44

5. Michelman P (2019) The glass-half-full argument about AI and jobs. MIT Sloan Manag Rev 60(4):17–19

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1. Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda;Information Technology and Management;2024-08-23

2. Assessing the asymmetric cost behavior in China;Asian Journal of Accounting Research;2024-03-29

3. Cost management and working capital management: ebony and ivory in perfect harmony?;Journal of Management Control;2024-03-23

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