Seeing beyond silos in labour productivity research and policy

Jen Nelles, Bertha Rohenkohl, Pei-Yu Yuan, Kevin Walsh and Tim Vorley

Science and Public Policy, 2024, vol. 51, issue 3, 375-392

Abstract: How policymakers and academics organize and visualize core ideas affects how they define and perceive problems and generate policy solutions. While understanding complex ideas—such as productivity—as the product of a set of discrete inputs can help target inquiry and structure policy interventions, this can also lead to siloed thinking that neglects dynamic effects and interactions between elements. This paper explores how three organizations conceptualize the ‘productivity puzzle’ and suggests that they might be oversimplifying the roots of productivity. We present a systematic review of labour productivity literature using bibliometric coupling and network analysis to develop an alternative framework and map of themes and gaps. This work encourages policy to (1) adopt a systems lens and perceive productivity as the product of dynamic interactions and (2) think critically about how to structure future research on productivity.

Keywords: productivity; labour; policy; innovation; system dynamics (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/scipol/scad070 (application/pdf)
Access to full text is restricted to subscribers.

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:oup:scippl:v:51:y:2024:i:3:p:375-392.

Access Statistics for this article

Science and Public Policy is currently edited by Nicoletta Corrocher, Jeong-Dong Lee, Mireille Matt and Nicholas Vonortas

More articles in Science and Public Policy from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().