ChatGPT and the rise of semi-humans
Author
Abstract
Suggested Citation
DOI: 10.1057/s41599-023-02154-3
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Manav Raj & Robert Seamans, 2019. "Primer on artificial intelligence and robotics," Journal of Organization Design, Springer;Organizational Design Community, vol. 8(1), pages 1-14, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Pham, Hong Chuong & Duong, Cong Doanh & Nguyen, Giang Khanh Huyen, 2024. "What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus-organism-response perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
- Merva, Mary & Costagli, Simona, 2024. "Measuring information as an expanding resource: Information production and its TFP-information absorption ecosystem “multiplier”," Telecommunications Policy, Elsevier, vol. 48(7).
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.- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024.
"AI adoption in America: Who, what, and where,"
Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Krof & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," Working Papers 23-48, Center for Economic Studies, U.S. Census Bureau.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia S. Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," NBER Working Papers 31788, National Bureau of Economic Research, Inc.
- Phanish Puranam, 2021. "Human–AI collaborative decision-making as an organization design problem," Journal of Organization Design, Springer;Organizational Design Community, vol. 10(2), pages 75-80, June.
- Cirillo, Valeria & Mina, Andrea & Ricci, Andrea, 2024.
"Digital technologies, labor market flows and training: Evidence from Italian employer-employee data,"
Technological Forecasting and Social Change, Elsevier, vol. 209(C).
- Valeria Cirillo & Andrea Mina & Andrea Ricci, 2024. "Digital Technologies, Labor market flows and Training: Evidence from Italian employer-employee data," LEM Papers Series 2024/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Ibrahim Delen & Nihal Sen & Fatma Ozudogru & Michele Biasutti, 2024. "Understanding the Growth of Artificial Intelligence in Educational Research through Bibliometric Analysis," Sustainability, MDPI, vol. 16(16), pages 1-16, August.
- Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023.
"Artificial Intelligence and Employment: A Look into the Crystal Ball,"
LEM Papers Series
2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Guarascio, Dario & Reljic, Jelena & Stöllinger, Roman, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," GLO Discussion Paper Series 1333, Global Labor Organization (GLO).
- Dario Guarascio & Jelena Reljic & Roman Stoellinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," Working Papers in Public Economics 243, Department of Economics and Law, Sapienza University of Roma.
- Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
- Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
- Maha Shaikh & Emmanuelle Vaast, 2023. "Algorithmic Interactions in Open Source Work," Information Systems Research, INFORMS, vol. 34(2), pages 744-765, June.
- Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
- Dawei (David) Zhang & Gang Peng & Yuliang Yao & Tyson R. Browning, 2024. "Is a College Education Still Enough? The IT-Labor Relationship with Education Level, Task Routineness, and Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(3), pages 992-1010, September.
- Yingying Lu & Yixiao Zhou, 2021. "A review on the economics of artificial intelligence," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1045-1072, September.
- Pablo Casas & Concepción Román, 2024. "The impact of artificial intelligence in the early retirement decision," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(3), pages 583-618, August.
- Issa, Helmi & Jabbouri, Rachid & Palmer, Mark, 2021. "An Artificial Intelligence (Ai)-Readiness and Adoption Framework for Agritech Firms," QBS Working Paper Series 271255, Queen's University Belfast, Queen's Business School.
- Bäck, Asta & Hajikhani, Arash & Jäger, Angela & Schubert, Torben & Suominen, Arho, 2022. "Return of the Solow-paradox in AI? AI-adoption and firm productivity," Papers in Innovation Studies 2022/1, Lund University, CIRCLE - Centre for Innovation Research.
- Erdem Dogukan Yilmaz & Christian Peukert, 2024. "Who Benefits from AI? Project-Level Evidence on Labor Demand, Operations and Profitability," CESifo Working Paper Series 11321, CESifo.
- Ruyu Chen & Natarajan Balasubramanian & Chris Forman, 2024. "How does worker mobility affect business adoption of a new technology? The case of machine learning," Strategic Management Journal, Wiley Blackwell, vol. 45(8), pages 1510-1538, August.
- Sam Ruiqing Cao & Marco Iansiti, 2022. "Organizational Barriers to Transforming Large Finance Corporations: Cloud Adoption and the Importance of Technological Architecture," CESifo Working Paper Series 10142, CESifo.
- Issa, Helmi & Jabbouri, Rachid & Palmer, Mark, 2022. "An artificial intelligence (AI)-readiness and adoption framework for AgriTech firms," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
- Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
- Ron Tidhar & Kathleen M. Eisenhardt, 2020. "Get rich or die trying… finding revenue model fit using machine learning and multiple cases," Strategic Management Journal, Wiley Blackwell, vol. 41(7), pages 1245-1273, July.
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:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02154-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.