IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v162y2021ics0040162520311744.html
   My bibliography  Save this article

Impact of robotics on manufacturing: A longitudinal machine learning perspective

Author

Listed:
  • Ballestar, María Teresa
  • Díaz-Chao, Ángel
  • Sainz, Jorge
  • Torrent-Sellens, Joan

Abstract

The evaluation of the impact of the adoption of industrial robotics on business is increasingly relevant in the current context of digital transformation. Although many companies are eager to adopt these technologies as a means to increase productivity, some concerns have been raised about the cost impact of the transformation, and its effect on the workforce.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:tefoso:v:162:y:2021:i:c:s0040162520311744
    DOI: 10.1016/j.techfore.2020.120348
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162520311744
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2020.120348?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Philippe Aghion & Antonin Bergeaud & Timo Boppart & Peter J. Klenow & Huiyu Li, 2019. "Missing Growth from Creative Destruction," American Economic Review, American Economic Association, vol. 109(8), pages 2795-2822, August.
    3. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    4. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    5. Faber, Marius, 2018. "Robots and reshoring: Evidence from Mexican local labor markets," Working papers 2018/27, Faculty of Business and Economics - University of Basel.
    6. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    7. Zoltán J. Ács & Pontus Braunerhjelm & David B. Audretsch & Bo Carlsson, 2015. "The knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 7, pages 129-144, Edward Elgar Publishing.
    8. María Teresa Ballestar & Pilar Grau-Carles & Jorge Sainz, 2019. "Predicting customer quality in e-commerce social networks: a machine learning approach," Review of Managerial Science, Springer, vol. 13(3), pages 589-603, June.
    9. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    10. Daron Acemoglu & Pascual Restrepo, 2018. "Modeling Automation," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 48-53, May.
    11. Magnus Henrekson & Dan Johansson, 2010. "Gazelles as job creators: a survey and interpretation of the evidence," Small Business Economics, Springer, vol. 35(2), pages 227-244, September.
    12. Erik Stam & Karl Wennberg, 2009. "The roles of R&D in new firm growth," Small Business Economics, Springer, vol. 33(1), pages 77-89, June.
    13. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    14. Ulrich Doraszelski & Jordi Jaumandreu, 2018. "Measuring the Bias of Technological Change," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1027-1084.
    15. Ballestar, María Teresa & Doncel, Luis Miguel & Sainz, Jorge & Ortigosa-Blanch, Arturo, 2019. "A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    16. Austan D. Goolsbee & Peter J. Klenow, 2018. "Internet Rising, Prices Falling: Measuring Inflation in a World of E-Commerce," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 488-492, May.
    17. Ballestar, María Teresa & Grau-Carles, Pilar & Sainz, Jorge, 2018. "Customer segmentation in e-commerce: Applications to the cashback business model," Journal of Business Research, Elsevier, vol. 88(C), pages 407-414.
    18. Díaz-Chao, Ángel & Sainz-González, Jorge & Torrent-Sellens, Joan, 2016. "The competitiveness of small network-firm: A practical tool," Journal of Business Research, Elsevier, vol. 69(5), pages 1769-1774.
    19. Oecd, 2019. "Determinants and impact of automation: An analysis of robots' adoption in OECD countries," OECD Digital Economy Papers 277, OECD Publishing.
    20. Maravall, A. & del Rio, A., 2007. "Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 975-998, October.
    21. Jack Triplett, 2004. "Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes: Special Application to Information Technology Products," OECD Science, Technology and Industry Working Papers 2004/9, OECD Publishing.
    22. Jose Benitez & Gautam Ray & Jörg Henseler, 2018. "Impact of Information Technology Infrastructure Flexibility on Mergers and Acquisitions," Post-Print hal-01998000, HAL.
    23. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    24. Robert C. Feenstra & Matthew D. Shapiro, 2003. "High-Frequency Substitution and the Measurement of Price Indexes," NBER Chapters, in: Scanner Data and Price Indexes, pages 123-146, National Bureau of Economic Research, Inc.
    25. Barba-Sánchez, Virginia & Arias-Antúnez, Enrique & Orozco-Barbosa, Luis, 2019. "Smart cities as a source for entrepreneurial opportunities: Evidence for Spain," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    26. Edwards, David J. & Pärn, Erika & Love, Peter E.D. & El-Gohary, Hatem, 2017. "Research note: Machinery, manumission, and economic machinations," Journal of Business Research, Elsevier, vol. 70(C), pages 391-394.
    27. Díaz-Chao, Ángel & Sainz-González, Jorge & Torrent-Sellens, Joan, 2015. "ICT, innovation, and firm productivity: New evidence from small local firms," Journal of Business Research, Elsevier, vol. 68(7), pages 1439-1444.
    28. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    29. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    30. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
    31. Austan D. Goolsbee & Peter J. Klenow, 2018. "Internet Rising, Prices Falling: Measuring Inflation in a World of E-Commerce," NBER Working Papers 24649, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    2. Khanna, Rupika & Sharma, Chandan, 2024. "Beyond information technology and productivity paradox: Analysing the channels of impact at the firm-level," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    3. Şemsettin Çiğdem & Ieva Meidute-Kavaliauskiene & Bülent Yıldız, 2023. "Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees," Logistics, MDPI, vol. 7(1), pages 1-18, March.
    4. 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).
    5. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
    6. Bo Chen & Dong Tan, 2023. "Industrial Robots and the Employment Quality of Migrant Workers in the Manufacturing Industry," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    7. Joan Torrent‐Sellens & Pilar Ficapal‐Cusí & Mihaela Enache‐Zegheru, 2023. "Boosting environmental management: The mediating role of Industry 4.0 between environmental assets and economic and social firm performance," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 753-768, January.

    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.
    1. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
    2. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    3. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
    4. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. 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.
    6. 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).
    7. Pedota, Mattia & Grilli, Luca & Piscitello, Lucia, 2023. "Technology adoption and upskilling in the wake of Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    8. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
    9. de Vries, Gaaitzen J. & Gentile, Elisabetta & Miroudot, Sébastien & Wacker, Konstantin M., 2020. "The rise of robots and the fall of routine jobs," Labour Economics, Elsevier, vol. 66(C).
    10. 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.
    11. 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.
    12. 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.
    13. Stephany, Fabian & Teutloff, Ole, 2024. "What is the price of a skill? The value of complementarity," Research Policy, Elsevier, vol. 53(1).
    14. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    15. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    16. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    17. 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.
    18. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    19. 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.
    20. Gries, Thomas & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," IZA Discussion Papers 13606, Institute of Labor Economics (IZA).

    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:eee:tefoso:v:162:y:2021:i:c:s0040162520311744. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.