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Toward understanding the impact of artificial intelligence on labor

Citations

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Cited by:

  1. Benjamin Meindl & Morgan R. Frank & Joana Mendonc{c}a, 2021. "Exposure of occupations to technologies of the fourth industrial revolution," Papers 2110.13317, arXiv.org.
  2. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
  3. Roberto Antonietti & Luca Cattani & Francesca Gambarotto & Giulio Pedrini, 2021. "Education, routine, and complexity-biased Knowledge Enabling Technologies: Evidence from Emilia-Romagna, Italy," Discussion Paper series in Regional Science & Economic Geography 2021-07, Gran Sasso Science Institute, Social Sciences, revised May 2021.
  4. Ed Felten & Manav Raj & Robert Seamans, 2023. "How will Language Modelers like ChatGPT Affect Occupations and Industries?," Papers 2303.01157, arXiv.org, revised Mar 2023.
  5. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
  6. Dosi, G. & Piva, M. & Virgillito, M.E. & Vivarelli, M., 2021. "Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction," Research Policy, Elsevier, vol. 50(4).
  7. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  8. Kądzielawski Grzegorz, 2023. "The state of development of artificial intelligence in polish industry: opinions of employees," International Journal of Contemporary Management, Sciendo, vol. 59(1), pages 12-25, March.
  9. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  10. Niccolo Pescetelli, 2021. "A Brief Taxonomy of Hybrid Intelligence," Forecasting, MDPI, vol. 3(3), pages 1-11, September.
  11. László Czaller & Rikard Eriksson & Author-Name:Balázs Lengyel, 2020. "Automation risk along individual careers: static and dynamic upgrades in cities," CERS-IE WORKING PAPERS 2030, Institute of Economics, Centre for Economic and Regional Studies.
  12. Nik Dawson & Marian-Andrei Rizoiu & Benjamin Johnston & Mary-Anne Williams, 2020. "Predicting Skill Shortages in Labor Markets: A Machine Learning Approach," Papers 2004.01311, arXiv.org, revised Aug 2020.
  13. Elina Makela & Fabian Stephany, 2024. "Complement or substitute? How AI increases the demand for human skills," Papers 2412.19754, arXiv.org, revised Feb 2025.
  14. Marjit, Sugata & Das, Gouranga G., 2023. "Finance, Trade, Man and Machines: A New-Ricardian Heckscher-Ohlin-Samuelson Model," GLO Discussion Paper Series 1218, Global Labor Organization (GLO).
  15. Anya Johnson & Shanta Dey & Helena Nguyen & Markus Groth & Sadhbh Joyce & Leona Tan & Nicholas Glozier & Samuel B Harvey, 2020. "A review and agenda for examining how technology-driven changes at work will impact workplace mental health and employee well-being," Australian Journal of Management, Australian School of Business, vol. 45(3), pages 402-424, August.
  16. Rita Strohmaier & Marlies Schuetz & Simone Vannuccini, 2019. "A systemic perspective on socioeconomic transformation in the digital age," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 361-378, September.
  17. Zarges, Lara & Garnitz, Johanna & von Maltzan, Annette & Wohlrabe, Klaus, 2023. "Der Investitionsstandort Deutschland aus Sicht der Familienunternehmen: Jahresmonitor der Stiftung Familienunternehmen," Studien, Stiftung Familienunternehmen / Foundation for Family Businesses, number 281020, February.
  18. Faber, Marius & Sarto, Andrés & Tabellini, Marco, 2021. "Local Shocks and Internal Migration: The Disparate Effects of Robots and Chinese Imports in the US," IZA Discussion Papers 14623, Institute of Labor Economics (IZA).
  19. Ivanov, Stanislav & Kuyumdzhiev, Mihail & Webster, Craig, 2020. "Automation fears: Drivers and solutions," Technology in Society, Elsevier, vol. 63(C).
  20. Zhu, Jun & Zhang, Jingting & Feng, Yiqing, 2022. "Hard budget constraints and artificial intelligence technology," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  21. Agrawal, Ajay & Gans, Joshua S. & Goldfarb, Avi, 2024. "Prediction machines, insurance, and protection: An alternative perspective on AI’s role in production," Journal of the Japanese and International Economies, Elsevier, vol. 72(C).
  22. Wang, Yafei & Zhao, Zihan & Liu, Jing & Bai, Ying & Tan, Zhixiong, 2024. "Mechanisms and effect assessment of smart city policy pilots on employment resilience: Empirical evidence based on 275 sample cities in China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 631-651.
  23. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
  24. Stephany, Fabian & Teutloff, Ole, 2024. "What is the price of a skill? The value of complementarity," Research Policy, Elsevier, vol. 53(1).
  25. Nazareno, Luísa & Schiff, Daniel S., 2021. "The impact of automation and artificial intelligence on worker well-being," Technology in Society, Elsevier, vol. 67(C).
  26. Carbonero, Francesco & Scicchitano, Sergio, 2021. "Labour and technology at the time of Covid-19. Can artificial intelligence mitigate the need for proximity?," GLO Discussion Paper Series 765, Global Labor Organization (GLO).
  27. Stephany, Fabian & Teutloff, Ole & Lehdonvirta, Vili, 2022. "What is the price of a skill? Revealing the complementary value of skills," MPRA Paper 114874, University Library of Munich, Germany.
  28. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
  29. Koehler, Maximilian & Sauermann, Henry, 2024. "Algorithmic management in scientific research," Research Policy, Elsevier, vol. 53(4).
  30. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
  31. Thordur Vikingur Fridgeirsson & Helgi Thor Ingason & Haukur Ingi Jonasson & Hildur Jonsdottir, 2021. "An Authoritative Study on the Near Future Effect of Artificial Intelligence on Project Management Knowledge Areas," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
  32. Wang, Heting & Wang, Huijuan & Guan, Rong, 2024. "Digitalization of industries and labor mobility in China," China Economic Review, Elsevier, vol. 87(C).
  33. Tekic, Zeljko & Tekic, Anja, 2024. "Complex patterns of ICTs' effect on sustainable development at the national level: The triple bottom line perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  34. Duch-Brown, Néstor & Gomez-Herrera, Estrella & Mueller-Langer, Frank & Tolan, Songül, 2022. "Market power and artificial intelligence work on online labour markets," Research Policy, Elsevier, vol. 51(3).
  35. Gruetzemacher, Ross & Paradice, David & Lee, Kang Bok, 2020. "Forecasting extreme labor displacement: A survey of AI practitioners," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  36. Ion MOLDOVEANU, 2022. "Managing the Impact of Digital Transformation on the Future of Jobs. A Sectoral Approach. A Semi-Systematic Literature Review," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 23(3), pages 439-453, July.
  37. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.
  38. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
  39. 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).
  40. Lee, Chien-Chiang & Yan, Jingyang & Wang, Fuhao, 2024. "Impact of population aging on food security in the context of artificial intelligence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  41. Liu, Shu & Wu, Yuting & Yin, Xiaobo & Wu, Bin, 2023. "Digital transformation and labour investment efficiency: Heterogeneity across the enterprise life cycle," Finance Research Letters, Elsevier, vol. 58(PC).
  42. Song, Malin & Pan, Heting & Shen, Zhiyang & Tamayo-Verleene, Kristine, 2024. "Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value," Energy Economics, Elsevier, vol. 131(C).
  43. Violeta Sima & Ileana Georgiana Gheorghe & Jonel Subić & Dumitru Nancu, 2020. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
  44. Seong-Uk Baek & Jin-Ha Yoon & Jong-Uk Won, 2022. "Association between Workers’ Anxiety over Technological Automation and Sleep Disturbance: Results from a Nationally Representative Survey," IJERPH, MDPI, vol. 19(16), pages 1-12, August.
  45. Prithwiraj Choudhury & Evan Starr & Rajshree Agarwal, 2020. "Machine learning and human capital complementarities: Experimental evidence on bias mitigation," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1381-1411, August.
  46. Podobnik, Boris & Dabić, Marina & Wild, Dorian & Di Matteo, Tiziana, 2023. "The impact of STEM on the growth of wealth at varying scales, ranging from individuals to firms and countries: The performance of STEM firms during the pandemic across different markets," Technology in Society, Elsevier, vol. 72(C).
  47. Marco Capasso & Michael Spjelkavik Mark, 2021. "The Evolving Economic Employment of ICT Education: The Case of Norway," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
  48. Podobnik, Boris & Christopher Crawford, G. & Lichtenstein, Benyamin & Lipic, Tomislav & Wild, Dorian & Zhang, Xin & Stanley, H. Eugene, 2020. "The new wealth of nations: How STEM fields generate the prosperity and inequality of individuals, companies, and countries," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
  49. Xie, Mengmeng & Ding, Lin & Xia, Yan & Guo, Jianfeng & Pan, Jiaofeng & Wang, Huijuan, 2021. "Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 96(C), pages 295-309.
  50. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  51. David Klenert & Enrique Fernández-Macías & José-Ignacio Antón, 2023. "Do robots really destroy jobs? Evidence from Europe," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(1), pages 280-316, February.
  52. Silvia Maja Melzer & Martin Diewald, 2020. "How Individual Involvement with Digitalized Work and Digitalization at the Workplace Level Impacts Supervisory and Coworker Bullying in German Workplaces," Social Sciences, MDPI, vol. 9(9), pages 1-21, September.
  53. Zhang, Zhenhua & Zhang, Yunpeng & Wu, Huangbin & Song, Shunfeng & Pan, Yuxi & Feng, Yanchao, 2024. "Dual effects of automation on economy and environment: Evidence from A-share listed enterprises in China," China Economic Review, Elsevier, vol. 88(C).
  54. Dehu Yin & Xi Zhang & Hongke Zhao & Li Tang, 2024. "Predicting scholar potential: a deep learning model on social capital features," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(12), pages 7851-7879, December.
  55. Azar, José & Alekseeva, Liudmila & Gine, Mireia & Samila, Sampsa & Taska, Bledi, 2020. "The Demand for AI Skills in the Labor Market," CEPR Discussion Papers 14320, C.E.P.R. Discussion Papers.
  56. 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.
  57. Makridis, Christos A. & Han, Joo Hun, 2021. "Future of work and employee empowerment and satisfaction: Evidence from a decade of technological change," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  58. Shin-Cheng Yeh & Ai-Wei Wu & Hui-Ching Yu & Homer C. Wu & Yi-Ping Kuo & Pei-Xuan Chen, 2021. "Public Perception of Artificial Intelligence and Its Connections to the Sustainable Development Goals," Sustainability, MDPI, vol. 13(16), pages 1-34, August.
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