The Hourglass Revolution: A Theoretical Framework of AI's Impact on Organizational Structures in Developed and Emerging Markets
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Graef, Inge & Prüfer, Jens, 2021.
"Governance of data sharing: A law & economics proposal,"
Research Policy, Elsevier, vol. 50(9).
- Graef, Inge & Prüfer, Jens, 2021. "Governance of Data Sharing : A Law & Economics Proposal," Other publications TiSEM b64b51f8-16af-45c8-87ea-3, Tilburg University, School of Economics and Management.
- Graef, Inge & Prüfer, Jens, 2021. "Governance of Data Sharing : a Law & Economics Proposal," Discussion Paper 2021-004, Tilburg University, Center for Economic Research.
- Graef, Inge & Prüfer, Jens, 2021. "Governance of Data Sharing : A Law & Economics Proposal," Discussion Paper 2021-001, Tilburg University, Tilburg Law and Economic Center.
- Graef, Inge & Prüfer, Jens, 2021. "Governance of Data Sharing : a Law & Economics Proposal," Other publications TiSEM 81ca5cc3-d384-4bc4-af82-d, Tilburg University, School of Economics and Management.
- Graef, Inge & Prüfer, Jens, 2021. "Governance of data sharing : A law & economics proposal," Other publications TiSEM 4d057c2c-2945-4915-8fe1-4, Tilburg University, School of Economics and Management.
- Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
- Janssen, Marijn & Weerakkody, Vishanth & Ismagilova, Elvira & Sivarajah, Uthayasankar & Irani, Zahir, 2020. "A framework for analysing blockchain technology adoption: Integrating institutional, market and technical factors," International Journal of Information Management, Elsevier, vol. 50(C), pages 302-309.
- Anton Korinek & Joseph E. Stiglitz, 2018.
"Artificial Intelligence and Its Implications for Income Distribution and Unemployment,"
NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390,
National Bureau of Economic Research, Inc.
- Anton Korinek & Joseph E. Stiglitz, 2017. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Working Papers 24174, National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
- Davenport, Thomas H., 2018. "The AI Advantage: How to Put the Artificial Intelligence Revolution to Work," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262039176, December.
- Vincent, Vinod U., 2021. "Integrating intuition and artificial intelligence in organizational decision-making," Business Horizons, Elsevier, vol. 64(4), pages 425-438.
- Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
- Raghuram G. Rajan & Julie Wulf, 2006.
"The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies,"
The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 759-773, November.
- Raghuram Rajan & Julie Wulf, 2003. "The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies," NBER Working Papers 9633, National Bureau of Economic Research, Inc.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zhang, Hongyuan & Ding, Yibing & Niu, Jing & Jung, Samuel, 2024. "How artificial intelligence affects international industrial transfer — Evidence from industrial robot application," Journal of Asian Economics, Elsevier, vol. 95(C).
- Zhu, Jun & Zhang, Jingting & Feng, Yiqing, 2022. "Hard budget constraints and artificial intelligence technology," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Maria Guadalupe & Hongyi Li & Julie Wulf, 2014.
"Who Lives in the C-Suite? Organizational Structure and the Division of Labor in Top Management,"
Management Science, INFORMS, vol. 60(4), pages 824-844, April.
- Guadalupe, Maria & Li, Hongyi & Wulf, Julie M., 2012. "Who Lives in the C-Suite? Organizational Structure and the Division of Labor in Top Management," IZA Discussion Papers 6635, IZA Network @ LISER.
- Maria Guadalupe & Hongyi Li & Julie Wulf, 2012. "Who Lives in the C-Suite? Organizational Structure and the Division of Labor in Top Management," NBER Working Papers 17846, National Bureau of Economic Research, Inc.
- Si, Chunxiao & Wang, Dihai & Wu, Maohua, 2025. "How broadband internet access shapes fertility decisions: Evidence and mechanisms," Journal of Asian Economics, Elsevier, vol. 99(C).
- Johnson, Prince Chacko & Laurell, Christofer & Ots, Mart & Sandström, Christian, 2022. "Digital innovation and the effects of artificial intelligence on firms’ research and development – Automation or augmentation, exploration or exploitation?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
- Martin Obschonka & David B. Audretsch, 2020. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 55(3), pages 529-539, October.
- Ghimire, Ramesh & Skinner, Jim & Carnathan, Mike, 2020. "Who perceived automation as a threat to their jobs in metro Atlanta: Results from the 2019 Metro Atlanta Speaks survey," Technology in Society, Elsevier, vol. 63(C).
- Michael Gofman & Zhao Jin, 2024. "Artificial Intelligence, Education, and Entrepreneurship," Journal of Finance, American Finance Association, vol. 79(1), pages 631-667, February.
- Dominic Chalmers & Niall G. MacKenzie & Sara Carter, 2021. "Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1028-1053, September.
- Shreya Roy & Sugata Marjit & Bibek Ray Chaudhuri, 2022. "Role of Artificial Intelligence in Intra-Sectoral Wage Inequality in an Open Economy: A Finite Change Approach," CESifo Working Paper Series 9862, CESifo.
- Luo, Jigang & Wang, Zhen & Wu, Maohua, 2021. "Effect of place-based policies on the digital economy: Evidence from the Smart City Program in China," Journal of Asian Economics, Elsevier, vol. 77(C).
- Shahzad, Umer & Ghaemi Asl, Mahdi & Panait, Mirela & Sarker, Tapan & Apostu, Simona Andreea, 2023. "Emerging interaction of artificial intelligence with basic materials and oil & gas companies: A comparative look at the Islamic vs. conventional markets," Resources Policy, Elsevier, vol. 80(C).
- Riccardo Camilli & Hira Salah ud din Khan, 2023. "Book Review," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2023(2), pages 137-144.
- Rafael De Acypreste & Joao Gabriel De Araujo Oliveira, 2022. "Structural change, an open economy and employment: A structural change and economic dynamics approach," PSL Quarterly Review, Economia civile, vol. 75(300), pages 47-62.
- Sowa, Konrad & Przegalinska, Aleksandra & Ciechanowski, Leon, 2021. "Cobots in knowledge work," Journal of Business Research, Elsevier, vol. 125(C), pages 135-142.
- Haonan Wang & Fangjuan Qiu, 2025. "AI adoption and labor cost stickiness: based on natural language and machine learning," Information Technology and Management, Springer, vol. 26(2), pages 163-184, June.
- Nicolai J. Foss & Peter G. Klein, 2023. "Why managers still matter as applied organization (design) theory," Journal of Organization Design, Springer;Organizational Design Community, vol. 12(1), pages 7-18, June.
- Xiaoyue Lin & Tiandong Wang & Fan Sheng, 2025. "Exploring the dual effect of trust in GAI on employees’ exploitative and exploratory innovation," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
- Geiger, Niels & Prettner, Klaus & Schwarzer, Johannes A., 2018. "Automatisierung, Wachstum und Ungleichheit," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
- Holmström, Jonny, 2022. "From AI to digital transformation: The AI readiness framework," Business Horizons, Elsevier, vol. 65(3), pages 329-339.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2604.09623. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/arx/papers/2604.09623.html