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Older Workers and the Adoption of New Technologies

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  • Meyer, Jenny

Abstract

For the first time data of German ICT and knowledge intensive service providers are used to analyze the relation between the age structure of the workforce and the probability of adopting new technologies. The results show that firms with a higher share of younger employees are more likely to adopt new technologies and the older the workforce the less likely is the adoption of new technologies. Furthermore the results exhibit that the age structure of the workforce should be accompanied by appropriate workplace organization. A part of the firms which enhanced teamwork or flattened their hierarchies are actually more likely to adopt new technologies and software when they have a higher share of older employees whereas they are less likely to introduce new technologies if they have a higher share of younger employees.

Suggested Citation

  • Meyer, Jenny, 2007. "Older Workers and the Adoption of New Technologies," ZEW Discussion Papers 07-050, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:6353
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    Cited by:

    1. Paula Prenzel & Simona Iammarino, 2018. "Ageing labour: How does demographic change affect regional human capital?," Papers in Evolutionary Economic Geography (PEEG) 1832, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2018.
    2. Buhr, Daniel & Koch, Andreas & König, Tobias & Laub, Natalie & Reiner, Marcel, 2023. "Innovationen für und durch ältere Menschen," Studien zum deutschen Innovationssystem 7-2023, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    3. Jisung Park & Seongsu Kim, 2015. "The differentiating effects of workforce aging on exploitative and exploratory innovation: The moderating role of workforce diversity," Asia Pacific Journal of Management, Springer, vol. 32(2), pages 481-503, June.
    4. Karsten Wasiluk, 2014. "Technology Adoption and Demographic Change," Working Paper Series of the Department of Economics, University of Konstanz 2014-05, Department of Economics, University of Konstanz.
    5. Taehwan Rhee & Jacob Wood & Jungsuk Kim, 2022. "Digital Transformation as a Demographic and Economic Integrated Policy for Southeast Asian Developing Countries," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    6. Katharina Frosch, 2009. "Do only new brooms sweep clean? A review on workforce age and innovation," MPIDR Working Papers WP-2009-005, Max Planck Institute for Demographic Research, Rostock, Germany.
    7. Payal Dutta & Ashima Sharma Borah, 2018. "A Study on Role of Moderating Variables in Influencing Employees’ Acceptance of Information Technology," Vision, , vol. 22(4), pages 387-394, December.

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    More about this item

    Keywords

    age structure of the workforce; adoption of new technologies; ICT intensive services;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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