Organisation, technological change and skills use over time: A longitudinal study on linked employee surveys

Published date01 November 2022
AuthorSteven Dhondt,Karolus O. Kraan,Michiel Bal
Date01 November 2022
DOIhttp://doi.org/10.1111/ntwe.12227
Received: 1 January 2021
|
Accepted: 13 December 2021
DOI: 10.1111/ntwe.12227
RESEARCH ARTICLE
Organisation, technological change and skills
use over time: A longitudinal study on linked
employee surveys
Steven Dhondt
1,2
|Karolus O. Kraan
1
|Michiel Bal
2
1
Sustainable Productivity and
Employability, TNO, Netherlands
Organisation for Applied Scientific
Research, Leiden, The Netherlands
2
Centre for Sociological Research,
Catholic University of Leuven, Leuven,
Belgium
Correspondence
Steven Dhondt, Sustainable Productivity
and Employability, TNO, Netherlands
Organisation for Applied Scientific
Research, PO Box 3005, 2301 DA Leiden,
The Netherlands.
Email: steven.dhondt@tno.nl and
karolus.kraan@tno.nl
Funding information
Horizon 2020 Framework Programme,
Grant/Award Number: 822296; Fonds
Wetenschappelijk Onderzoek,
Grant/Award Number: S006018N
Abstract
The impact of technological change on the content of
jobs and accompanying skills is a central topic across
disciplines. To date, ample research has directly linked
the technological change to shifts in skills use; how-
ever, organisational change is rarely considered as an
influencing factor. Based on a panel survey, this paper
uses a Luhmannian approach to understand the re-
lationship between technological change and organi-
sational context. This theory is tested quantitatively
and shows the importance of considering the working
environment's nature when studying skills changes.
The results show small effects by the technological
change on changing skills use but larger effects by
changes in the working environment. Recommenda-
tions for future research and practical implications are
discussed.
KEYWORDS
automation, division of labour, longitudinal study, organisational
change, skills, skills use, technological change, technology,
working environment
New Technol Work Employ. 2022;37:343–362. wileyonlinelibrary.com/journal/ntwe
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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and
reproduction in any medium, provided the original work is properly cited.
© 2021 The Authors. New Technology, Work and Employment published by Brian Towers (BRITOW) and John Wiley & Sons Ltd.
INTRODUCTION
Debating the digitalisation of work, the relationship between technological change and future
skills use comes to the fore once more. The expectations about future skills use are quite
extensive, with a large number of observers insisting on a change towards more generic skills,
and at the same time more specialised, technical knowledge. The highly anticipated 21st‐
century or digital skills are said to require a general need for workforce reskilling (Felstead
et al., 2002; World Economic Forum, 2018).
Although skills use of the workforce claims to have large societal and economic effects for
individuals, employers, regions and national economies, there is no consensus among social
scientists or policy‐makers about the meaning of the skill concept (Green, 2013). Following
Green's advice to conceptually overarch economics, psychology and sociology, we distinguish
three key features. First, skills have productive features: using skills at work helps workers be
productive. Second, skills are expandable and training and development can enhance them.
Third, skills are socially determined (Green, 2013). While the first two features gained much
research attention (Goos et al., 2014), the last did not.
Consequently, the expectations about the future of work and skills use are underpinned
with a lot of survey material, focusing on skills' economic and psychological features. Schlogl
et al. (2021) discuss this policy‐focused and grey literature and see a dominant narrative
focused on placing the responsibility to deal with the future of work in the form of ‘upskilling’.
The analysis of the survey material itself used in this narrative needs to be considered too. An
organisational sociological interpretation of the existing survey material used in this narrative
unmasks the presence of a social framework, that is, the working environment's nature.
Consequently, it teases the importance of the latter for skills use.
Elaborating on a longstanding tradition of skills use research, we focus in this article on the
following question: ‘What is the impact of technological change, a changing working en-
vironment and the interaction between technological change and the changing working en-
vironment over time on skills use?’.
This article contributes with an analysis of the influence over time of the change in the
working environment on skills use: The skills use of people who have remained in their
working environment is compared with that of people whose working environment has
changed. For this analysis, a first alternative interpretation of skills from survey material is
used. This alternative interpretation is framed in the systems thinking approach on organisa-
tions developed by Luhmann (2000). This article focuses on the transversal analysis of items
from a linked panel data set from two data sources: the Netherlands Skills Survey (NSS) and the
Lifelong Learning (LLL) Questionnaire (Akçomak et al., 2011; Kleruj, 2017; Oudejans, 2012;
Ter Weel, 2014; Van den Berg et al., 2018).
In the next parts, this article first deals with the relationship between technological change
and skills use. In line with Felstead et al. (2019), in this article, ‘skills use’refers to the level of
skills required of workers to carry out their jobs, the extent to which workers use the skills and
abilities they possess and the extent to which workers receive training that develops job‐related
skills. Second, this article substantiates the working environment's role and the change in this
environment for skills use. Working environments are classified as Tayloristic (incomplete) or
complete working environments. Third, it critically dwells on the operationalisation of skills
concepts, comparing the methodology of the British Skills and Employment Survey (SES), the
Programme for the International Assessment of Adult Competencies survey (PIAAC) and the
Netherlands Skill Survey (NSS). Fourth, our analyses on the linked panel data set show small
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