4.3 Article

Constructing the 'Future of Work': An analysis of the policy discourse

Journal

NEW TECHNOLOGY WORK AND EMPLOYMENT
Volume 36, Issue 3, Pages 307-326

Publisher

WILEY
DOI: 10.1111/ntwe.12202

Keywords

automation; discourse; fourth industrial revolution; framing; future of work; new technology; policy; robotisation

Ask authors/readers for more resources

The study examines how labor-saving technologies are perceived in the 'Future of Work' debate, with a focus on policy literature from various institutions. The dominant narrative blames technological advances for challenges in the job market and emphasizes individual responsibility for 'upskilling'. The study also analyzes the variations in this narrative across institutions and critiques the dominant narratives within the 'Future of Work' discourse.
Advances in labour-saving technology have sparked a public debate about the 'Future of Work'. An important role in this debate is played by policy-focused literature produced by institutions such as government agencies, international organisations, think tanks, and consulting firms. Using qualitative coding, the present study analyses this 'grey' literature (a total of 195 documents published in English 2013-2018) with a focus on what problem perceptions, frames, and policy recommendations prevail in this literature. We find that the dominant narrative treats technological advances as a prime cause of challenges in the labour market and places the main responsibility on the shoulders of individuals in the form of 'upskilling'. We show how versions of this narrative vary across different types of institutions, what types of organisations are the most prolific publishers of policy papers in this space, and we offer a critique of dominant narratives within the 'Future of Work' discourse.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available