Technology Boom(ers): How US Multinational Technology Companies Are Preparing for an Ageing Workforce

Alan Stone and Nicholas Harkiolakis
Additional contact information
Alan Stone: Ecole des Ponts Business School, 77455 Marne-la-Vallée, France
Nicholas Harkiolakis: Ecole des Ponts Business School, 77455 Marne-la-Vallée, France

Administrative Sciences, 2022, vol. 12, issue 3, 1-14

Abstract: This study addresses a lack of knowledge of how US multinational organizations are preparing for an ageing workforce. The study took the form of a qualitative multiple-case study, comprising in depth semi-structured interviews of senior managers in target companies selected through purposive sampling. The study used institutional theory and dynamic capabilities theory as theoretical frameworks. The findings of the study imply that there are still no rigorous processes in place to support the contribution of older workers to the success of the organization, that legislative compliance is a key current focus, and that considerations of intersectionality between age and other aspects of diversity are emerging. These findings suggest recommendations for practice that are related to the transparency of age-related data, implementation of considered recruitment and retention strategies for older workers, and the direct involvement of older workers in technological product and service development.

Keywords: ageing workforce; diversity; information technology; multinational (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2076-3387/12/3/91/pdf (application/pdf)
https://www.mdpi.com/2076-3387/12/3/91/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jadmsc:v:12:y:2022:i:3:p:91-:d:873393

Access Statistics for this article

Administrative Sciences is currently edited by Ms. Nancy Ma

More articles in Administrative Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().