MétaCan
Menu
Back to cohort
Record W2001645300 · doi:10.1108/jocm-03-2014-0068

Assessing impediments to NPM change

2015· article· en· W2001645300 on OpenAlexaffabout
Peter Steane, Yvon Dufour, Donald Gates

Bibliographic record

VenueJournal of Organizational Change Management · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsOriginalityNew public managementSet (abstract data type)Public sectorCompetition (biology)Work (physics)Value (mathematics)AppealPublic policyPublic relationsBusinessPolitical scienceManagement scienceSociologyEconomicsComputer scienceEngineering

Abstract

fetched live from OpenAlex

Purpose – When new public management (NPM) emerged in the mid-1980s, most governments such as New Zealand, Australia and Canada embraced it as a better way to provide public services. A more recent assessment of NPM would conclude that its appeal has faded. The purpose of this paper is to assess the serious impediments to NPM-inspired change. Design/methodology/approach – The literature is diffuse, and therefore its insights have been limited by the lack of synthesis. In this paper the authors set out to synthesize the main work already available. Findings – Change, such as breaking up large public sector hierarchies, or developing internal market-like competition and contracting out public services is indeed disruptive. Such change cannot be achieved without shifting decision-making processes, disrupting existing roles and working relationships and leaving some confusion and uncertainty among staff. Many of the changes feature numerous levels of ill-defined processes, ongoing multi-layered and complex decision making, and no easily agreed or clear path to resolution. Originality/value – The terms “wicked problem” and “disruptive innovation” are increasingly familiar to public managers and policy makers. This paper argues that managing NPM-style change represented yet another wicked problem in managing public organizations. The authors set out to synthesize the main work available, and in so doing, frame the various attributes of NPM-inspired change – five basic parts, five types of uncertainty and five fragmenting forces. The conceptual framework suggests hypotheses as the basis for further research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.759
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.409
GPT teacher head0.490
Teacher spread0.081 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Organizational Change ManagementSame topicPublic Policy and Administration ResearchFrench-language works237,207