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Environment Systems & Decisions
Article . 2024 . Peer-reviewed
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Analysing the drivers for sustainable public procurement

Authors: Felippe Santos; Rodrigo Lozano; Maria Barreiro-Gen;

Analysing the drivers for sustainable public procurement

Abstract

AbstractSustainable public procurement (SPP) is aimed at using government purchasing power to foster sustainable production and consumption and develop more sustainable business models. The implementation of SPP has been undertaken through several disciplinary approaches, including practical and research efforts based on organisational change management (OCM). Although there is a growing body of literature on OCM for SPP, research on this topic is still limited and mostly focused on a single-country context. This paper aims to fill this research gap by analysing the drivers for changes towards SPP from two different world regions. Semi-structured interviews were conducted with twelve Brazilian and ten Swedish SPP professionals. The interviews were analysed using Grounded Theory’s constant comparative method. From the interviews, 46 drivers were collated, then ranked in order of importance, and categorised according to their level (external, connecting, and internal). From the interviews, twenty-two new drivers were identified. The findings show that drivers for SPP are context-specific and can be organised in a continuum of change approaches between praxis-driven and policy-driven. This study highlights the contextual influence on drivers for the SPP process. A holistic approach is needed for changes towards SPP, considering internal, connecting, and external drivers in the spectrum from praxis to policy.

Countries
Spain, Sweden
Keywords

Ekonomi och näringsliv, 330, Sustainability, Economics and Business, Sustainable public procurement, Change management, Miljövetenskap, Environmental Sciences, Sustainability drivers

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
hybrid