IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v50y2025i3p876-894.html

The penetration of robotic technology, task content routinisation and job satisfaction: Evidence from China

Author

Listed:
  • Yuhong Du

    (School of Economics and Finance, Huaqiao University, Quanzhou, China)

  • Hazrul Shahiri

    (Faculty of Economics and Management, National University of Malaysia, Bangi, Malaysia)

  • Xiahai Wei

    (Institute of Economic Development and Reform, Huaqiao University, Xiamen, China)

Abstract

Faced with a surge in labour costs, companies are strongly incentivised by local governments’ aggressive promotion to embrace robotic technology, triggering intense media debates. This, in turn, inevitably shapes workers’ attitudes towards their current jobs and brings uncertainty about their future workplace. This study investigates the connection between robotisation, routinisation and job satisfaction in China’s labour market. The results show that there is an observed positive relationship between an individual’s job satisfaction and exposure to robots in the local labour market, which may be related to the overwhelming benefits of these new technologies about certain work dimensions. However, fear of automation is not groundless. Our findings show that job satisfaction decreased with an increase in the routinisation of task content, particularly in areas that are increasingly exposed to robot adoption. This supports the routine-biased technological change hypothesis, which connects technology-induced unemployment with job routinisation. JEL Classification: J28, O33

Suggested Citation

  • Yuhong Du & Hazrul Shahiri & Xiahai Wei, 2025. "The penetration of robotic technology, task content routinisation and job satisfaction: Evidence from China," Australian Journal of Management, Australian School of Business, vol. 50(3), pages 876-894, August.
  • Handle: RePEc:sae:ausman:v:50:y:2025:i:3:p:876-894
    DOI: 10.1177/03128962241240105
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/03128962241240105
    Download Restriction: no

    File URL: https://libkey.io/10.1177/03128962241240105?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
    ---><---

    References listed on IDEAS

    as
    1. Jim Allen & Andries de Grip, 2012. "Does skill obsolescence increase the risk of employment loss?," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3237-3245, September.
    2. Tom Coupe, 2019. "Automation, job characteristics and job insecurity," International Journal of Manpower, Emerald Group Publishing Limited, vol. 40(7), pages 1288-1304, September.
    3. Giuntella, Osea & Wang, Tianyi, 2019. "Is an Army of Robots Marching on Chinese Jobs?," IZA Discussion Papers 12281, IZA Network @ LISER.
    4. Marco Vivarelli, 2013. "Technology, Employment and Skills: An Interpretative Framework," Eurasian Business Review, Eurasia Business and Economics Society, vol. 3(1), pages 66-89, Spring.
    5. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    6. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    8. Seamus McGuinness & Konstantinos Pouliakas & Paul Redmond, 2023. "Skills-displacing technological change and its impact on jobs: challenging technological alarmism?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(3), pages 370-392, April.
    9. Marco Vivarelli, 2013. "Technology, Employment and Skills: An Interpretative Framework," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 66-89, June.
    10. Brougham, David & Haar, Jarrod, 2018. "Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace," Journal of Management & Organization, Cambridge University Press, vol. 24(2), pages 239-257, March.
    11. Mariacristina Piva & Marco Vivarelli, 2018. "Technological change and employment: is Europe ready for the challenge?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(1), pages 13-32, March.
    12. Fonseca, Tiago & Lima, Francisco & Pereira, Sonia C., 2018. "Job polarization, technological change and routinization: Evidence for Portugal," Labour Economics, Elsevier, vol. 51(C), pages 317-339.
    13. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    14. Gihleb, Rania & Giuntella, Osea & Stella, Luca & Wang, Tianyi, 2022. "Industrial robots, Workers’ safety, and health," Labour Economics, Elsevier, vol. 78(C).
    15. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    16. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.
    17. Montresor, Giulia, 2019. "Job polarization and labour supply changes in the UK," Labour Economics, Elsevier, vol. 58(C), pages 187-203.
    18. Heyman, Fredrik, 2016. "Job polarization, job tasks and the role of firms," Economics Letters, Elsevier, vol. 145(C), pages 246-251.
    19. Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
    20. Luca Marcolin & Sébastien Miroudot & Mariagrazia Squicciarini, 2019. "To be (routine) or not to be (routine), that is the question: a cross-country task-based answer†," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 477-501.
    21. Lingmont, Derek N.J. & Alexiou, Andreas, 2020. "The contingent effect of job automating technology awareness on perceived job insecurity: Exploring the moderating role of organizational culture," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    22. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    23. Christian Gunadi & Hanbyul Ryu, 2021. "Does the rise of robotic technology make people healthier?," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2047-2062, September.
    24. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    Full references (including those not matched with items on IDEAS)

    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. Du Yuhong & Wei Xiahai, 2020. "Task content routinisation, technological change and labour turnover: Evidence from China," The Economic and Labour Relations Review, , vol. 31(3), pages 324-346, September.
    2. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," MERIT Working Papers 2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    4. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    5. Antonio Martins-Neto & Nanditha Mathew & Pierre Mohnen & Tania Treibich, 2024. "Is There Job Polarization in Developing Economies? A Review and Outlook," The World Bank Research Observer, World Bank, vol. 39(2), pages 259-288.
    6. Deng, Yue & Feng, Aiya & Hu, Dezhuang, 2025. "Gender earnings gap in Chinese firms: Can it be narrowed by industrial robots?," China Economic Review, Elsevier, vol. 89(C).
    7. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    8. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
    9. Nikolova, Milena & Cnossen, Femke & Nikolaev, Boris, 2024. "Robots, meaning, and self-determination," Research Policy, Elsevier, vol. 53(5).
    10. Valeria Cirillo & Mario Pianta & Leopoldo Nascia, 2018. "Technology and Occupations in Business Cycles," Sustainability, MDPI, vol. 10(2), pages 1-25, February.
    11. 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).
    12. Włoch, Renata & Śledziewska, Katarzyna & Rożynek, Satia, 2025. "Who's afraid of automation? Examining determinants of fear of automation in six European countries," Technology in Society, Elsevier, vol. 81(C).
    13. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    14. Calì, Massimiliano & Presidente, Giorgio, 2025. "Robots for economic development," Labour Economics, Elsevier, vol. 96(C).
    15. Vivarelli, Marco, 2018. "Globalisation, structural change and innovation in emerging economies: The impact on employment and skills," MERIT Working Papers 2018-037, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    16. 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).
    17. Ugur, Mehmet, 2019. "Innovation, technology adoption and employment: Evidence synthesis," Greenwich Papers in Political Economy 28307, University of Greenwich, Greenwich Political Economy Research Centre.
    18. M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    19. Yuefeng Xie & Luman Zhao & Yabin Zhang & Zhenguo Wang, 2025. "How Do Robot Applications Affect Corporate Sustainability?—An Analysis Based on Environmental, Social, and Governance Performance," Sustainability, MDPI, vol. 17(5), pages 1-29, February.
    20. Hyejin Kim, 2024. "The impact of robots on labor demand: evidence from job vacancy data in South Korea," Empirical Economics, Springer, vol. 67(3), pages 1185-1209, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    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:sae:ausman:v:50:y:2025:i:3:p:876-894. 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: SAGE Publications (email available below). General contact details of provider: http://www.agsm.edu.au .

    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.