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Gastón P. Fernández
(Gaston P. Fernandez)

Personal Details

First Name:Gaston P.
Middle Name:
Last Name:Fernandez
Suffix:
RePEc Short-ID:pfe523
[This author has chosen not to make the email address public]
https://gaston-fernandez.github.io

Affiliation

Department of Economics
Faculteit Economie en Bedrijfswetenschappen
KU Leuven

Leuven, Belgium
http://feb.kuleuven.be/research/leuven/Economics
RePEc:edi:edkulbe (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Gast'on P. Fern'andez, 2023. "Does personality affect the allocation of resources within households?," Papers 2307.02918, arXiv.org.
  2. Dirk Czarnitzki & Gastón P Fernández & Christian Rammer, 2022. "Artificial Intelligence and Firm-level Productivity," Working Papers of Department of Management, Strategy and Innovation, Leuven 690486, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
  3. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

Articles

  1. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
  2. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Dirk Czarnitzki & Gastón P Fernández & Christian Rammer, 2022. "Artificial Intelligence and Firm-level Productivity," Working Papers of Department of Management, Strategy and Innovation, Leuven 690486, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.

    Cited by:

    1. Czarnitzki, Dirk & Prüfer, Malte, 2024. "The interplay between public procurement of innovation and R&D grants: Empirical evidence from Belgium," ZEW Discussion Papers 24-055, ZEW - Leibniz Centre for European Economic Research.
    2. 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.
    3. Jacques Bughin, 2024. "The Role of Firm AI Capabilities in Generative AI-pair Coding," Working Papers TIMES² 2024-076, ULB -- Universite Libre de Bruxelles.
    4. Paolo Carioli & Dirk Czarnitzki & Gastón P Fernández Barros, 2024. "Evidence on the Adoption of Artificial Intelligence: The Role of Skills Shortage," Working Papers of ECOOM - Centre for Research and Development Monitoring 735893, KU Leuven, Faculty of Economics and Business (FEB), ECOOM - Centre for Research and Development Monitoring.
    5. Erdsiek, Daniel & Rost, Vincent, 2022. "Datenbewirtschaftung in deutschen Unternehmen: Umfrageergebnisse zu Status-quo und mittelfristigem Ausblick," ZEW Expert Briefs 22-09, ZEW - Leibniz Centre for European Economic Research.
    6. Erdsiek, Daniel & Rost, Vincent, 2024. "Data Sharing von Unternehmen: Umfrageergebnisse zu möglichen Anreizen," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 296876.
    7. Wang, Zongrun & Zhang, Taiyu & Ren, Xiaohang & Shi, Yukun, 2024. "AI adoption rate and corporate green innovation efficiency: Evidence from Chinese energy companies," Energy Economics, Elsevier, vol. 132(C).
    8. Yugang He, 2024. "Artificial intelligence and religious freedom: divergent paths converging on economic expansion," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    9. Anastasiia Pustovalova & Priit Vahter, 2024. "Automation-Skill Complementarity: The Changing Returns To Soft Skills In Different Stages Of Technology Adoption," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 146, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    10. Rammer, Christian & Doherr, Thorsten & Kinne, Jan & Lenz, David, 2024. "KI-Einsatz in Unternehmen in Deutschland: Strategische Ausrichtung und internationale Position," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 303033.
    11. Mühlemann, Samuel, 2024. "AI Adoption and Workplace Training," IZA Discussion Papers 17367, Institute of Labor Economics (IZA).
    12. Zeng, Hongjun & Abedin, Mohammad Zoynul & Zhou, Xiangjing & Lu, Ran, 2024. "Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices," International Review of Financial Analysis, Elsevier, vol. 92(C).
    13. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," Working Papers of Department of Management, Strategy and Innovation, Leuven 746877, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
    14. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2024. "Big data and firm-level productivity: A cross-country comparison," ZEW Discussion Papers 24-053, ZEW - Leibniz Centre for European Economic Research.
    15. Saam Marianne, 2024. "The Impact of Artificial Intelligence on Productivity and Employment – How Can We Assess It and What Can We Observe?," Intereconomics: Review of European Economic Policy, Sciendo, vol. 59(1), pages 22-27, February.
    16. Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024. "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers 17055, Institute of Labor Economics (IZA).
    17. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
    18. Talaei-Khoei, Amir & Yang, Alan T. & Masialeti, Masialeti, 2024. "How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity," Technovation, Elsevier, vol. 132(C).
    19. Nakatani, Ryota, 2024. "Multifactor productivity growth enhancers across industries and countries: Firm-level evidence," MPRA Paper 120503, University Library of Munich, Germany.
    20. K. D. V. Prasad & Tanmoy De, 2024. "Generative AI as a catalyst for HRM practices: mediating effects of trust," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    21. Nora Azima Noordin & Khaled Hussainey & Ahmad Faisal Hayek, 2022. "The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE," JRFM, MDPI, vol. 15(8), pages 1-14, July.
    22. Alessia Lo Turco & Alessandro Sterlacchini, 2024. "Factors Enhancing Ai Adoption By Firms. Evidence From France," Working Papers 486, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    23. Iryna Nyenno & Vyacheslav Truba & Liudmyla Tokarchuk, 2023. "Managerial Future of the Artificial Intelligence," Virtual Economics, The London Academy of Science and Business, vol. 6(2), pages 72-88, June.
    24. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024. "Is Artificial Intelligence Generating a New Paradigm? Evidence from the Emerging Phase," IZA Discussion Papers 17183, Institute of Labor Economics (IZA).

  2. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Cho, Jaehan & DeStefano, Timothy & Kim, Hanhin & Kim, Inchul & Paik, Jin Hyun, 2023. "What's driving the diffusion of next-generation digital technologies?," Technovation, Elsevier, vol. 119(C).
    2. Rammer, Christian, 2022. "Measuring process innovation output: Results from firm-level panel data," ZEW Discussion Papers 22-002, ZEW - Leibniz Centre for European Economic Research.
    3. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    4. Rammer, Christian & Krieger, Bastian & Peters, Bettina, 2022. "Studie zu den Treibern und Hemmnissen der Innovationstätigkeit im deutschen Mittelstand," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 270421.
    5. Alessandro Sterlacchini, 2022. "AI Patenting and Employment: Evidence from the World's Top R&D Investors," Working Papers 462, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Davide Antonioli & Alberto Marzucchi & Francesco Rentocchini & Simone Vannuccini, 2022. "Robot Adoption and Innovation Activities (last revised: December 2023)," Munich Papers in Political Economy 21, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    7. Matheus Eduardo Leusin, 2022. "The Development of Al in Multinational Enterprises - Effects upon Technological Trajectories and Innovation Performance," Bremen Papers on Economics & Innovation 2201, University of Bremen, Faculty of Business Studies and Economics.

Articles

  1. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    See citations under working paper version above.
  2. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).

    Cited by:

    1. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    3. Nicolae Istudor & Aura-Gabriela Socol & Marius-Corneliu Marinas & Cristian Socol, 2024. "Analysis of the Adequacy of Employees Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 703-703, August.
    4. Kraft, Kornelius & Rammer, Christian, 2023. "Intended and unintended knowledge spillovers in innovation," ZEW Discussion Papers 23-015, ZEW - Leibniz Centre for European Economic Research.
    5. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    6. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence," IZA Discussion Papers 16740, Institute of Labor Economics (IZA).
    7. Ding, Tao & Li, Jiangyuan & Shi, Xing & Li, Xuhui & Chen, Ya, 2023. "Is artificial intelligence associated with carbon emissions reduction? Case of China," Resources Policy, Elsevier, vol. 85(PB).
    8. Xiangan Ding & Zhonglin Sheng & Andrea Appolloni & Mohsin Shahzad & Shaojie Han, 2024. "Digital transformation, ESG practice, and total factor productivity," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4547-4561, July.
    9. Xianpu Xu & Yuchen Song, 2023. "Is There a Conflict between Automation and Environment? Implications of Artificial Intelligence for Carbon Emissions in China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    10. Wang, Zongrun & Zhang, Taiyu & Ren, Xiaohang & Shi, Yukun, 2024. "AI adoption rate and corporate green innovation efficiency: Evidence from Chinese energy companies," Energy Economics, Elsevier, vol. 132(C).
    11. Genghua Tang & Hongxun Mai, 2022. "How Does Manufacturing Intelligentization Influence Innovation in China from a Nonlinear Perspective and Economic Servitization Background?," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    12. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," Working Papers of Department of Management, Strategy and Innovation, Leuven 746877, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
    13. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2024. "Big data and firm-level productivity: A cross-country comparison," ZEW Discussion Papers 24-053, ZEW - Leibniz Centre for European Economic Research.
    14. Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
    15. Nils Grashof & Alexander Kopka, 2023. "Artificial intelligence and radical innovation: an opportunity for all companies?," Small Business Economics, Springer, vol. 61(2), pages 771-797, August.
    16. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
    17. Yoruk, Esin & Radosevic, Slavo & Fischer, Bruno, 2023. "Technological profiles, upgrading and the dynamics of growth: Country-level patterns and trajectories across distinct stages of development," Research Policy, Elsevier, vol. 52(8).
    18. Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
    19. Christian Peukert & Margaritha Windisch, 2023. "The Economics of Copyright in the Digital Age," CESifo Working Paper Series 10687, CESifo.
    20. Busch, Malte & Duwe, Daniel, 2023. "Artificial intelligence in innovation processes. A study using the example of an innvation research institute," EconStor Research Reports 281981, ZBW - Leibniz Information Centre for Economics.
    21. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    22. Alessia Lo Turco & Alessandro Sterlacchini, 2024. "Factors Enhancing Ai Adoption By Firms. Evidence From France," Working Papers 486, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    23. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    24. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024. "Is Artificial Intelligence Generating a New Paradigm? Evidence from the Emerging Phase," IZA Discussion Papers 17183, Institute of Labor Economics (IZA).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (4) 2021-05-03 2021-05-17 2022-04-18 2022-07-18. Author is listed
  2. NEP-SBM: Small Business Management (4) 2021-05-03 2021-05-17 2022-04-18 2022-07-18. Author is listed
  3. NEP-TID: Technology and Industrial Dynamics (4) 2021-05-03 2021-05-17 2022-04-18 2022-07-18. Author is listed
  4. NEP-BEC: Business Economics (3) 2021-05-03 2022-04-18 2022-07-18. Author is listed
  5. NEP-INO: Innovation (3) 2021-05-03 2022-04-18 2022-07-18. Author is listed
  6. NEP-CMP: Computational Economics (2) 2022-04-18 2022-07-18. Author is listed
  7. NEP-CWA: Central and Western Asia (2) 2021-05-03 2022-04-18. Author is listed
  8. NEP-EFF: Efficiency and Productivity (2) 2022-04-18 2022-07-18. Author is listed
  9. NEP-CSE: Economics of Strategic Management (1) 2022-04-18. Author is listed
  10. NEP-DEM: Demographic Economics (1) 2022-07-18. Author is listed
  11. NEP-ICT: Information and Communication Technologies (1) 2022-04-18. Author is listed

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