The Interplay of Humans, Technology, and Organizations in Realizing AI’s Productivity Promise
Author:
Affiliation:
1. Institute for Human Factors Engineering , 9149 University of Stuttgart , Nobelstr. 12 , Stuttgart 70174 , Germany
2. Fraunhofer Institute for Industrial Engineering IAO , Nobelstr. 12 , Stuttgart 70569 , Germany
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.degruyter.com/document/doi/10.1515/ev-2024-0053/pdf
Reference12 articles.
1. Acemoglu, Daron. 2024. The Simple Macroeconomics of AI (32487). National Bureau of Economic Research.
2. Brynjolfsson, Erik. 1993. “The Productivity Paradox of Information Technology.” Communications of the ACM 36 (12): 66–77. https://doi.org/10.1145/163298.163309.
3. Brynjolfsson, Erik, Danielle Li, and Lindsey R. Raymond. 2023. Generative AI at Work (Working Paper 31161). National Bureau of Economic Research.
4. Dell’Acqua, Fabrizio, Edward McFowland, Ethan R. Mollick, Hila Lifshitz-Assaf, Katherine Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. 2023. “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality.” Harvard Business School Technology & Operations Mgt. Unit Working Paper No. 24-013. https://doi.org/10.2139/ssrn.4573321.
5. Dwivedi, Yogesh K., Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, et al.. 2023. “Opinion Paper: “So what if ChatGPT Wrote it?” Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy.” International Journal of Information Management 71: 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642.
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