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Record W749881145

The Whitehall Innovation Hub: Innovation, Capabilities and Connectivity

2012· article· en· W749881145 on OpenAlexvenueno aff
Su Maddock

Bibliographic record

Venue˜The œinnovation journal · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsAusterityService innovationGovernment (linguistics)TreasuryIncrementalismCabinet (room)Public administrationPublic sectorPublic servicePublic relationsBusinessService (business)EconomicsMarketingPoliticsPolitical scienceEconomyEngineering
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACTGovernment interventions are often expected to deliver innovation policies within unrealistic timeframes and their short shelf life is determined as much by elections as evidence. This is the story of one such intervention in the UK. Encouragingly, New Labour recognized public service innovation for the first time in 2008 and invested in a number of initiatives to support it, one of which was the Whitehall Innovation Hub (WIH).The WIH's task was to persuade policy-makers of their role in public service innovation. Its strategy was to work with innovation champions andto stimulate innovation demand by persuading Whitehall leaders that innovation was a matter of responsiveness and collaboration rather than diktat. This approach was closely aligned to the Cabinet Secretary's desire for civil service transformation and was endorsed by the Department of Innovation and Skill's Permanent Secretary and Minister in 2008.The account that follows demonstrates the significance of narratives about innovation and beliefs about how change can be implemented by administrations, which remain elitist and dominated by departmental fiefdoms. It also highlights the problems encountered by small(marginal) units within highly politicized environments. The Hub was neither inside nor outside of government, and its strategy was contested, although later accepted as pertinent once adopted by the Treasury and Cabinet Office.In May 2010, the Coalition Government was elected and public innovation policy changed dramatically. Austerity and ideology led to policies that focused on public sector savings and business growth with marketization as the driver of service innovation. The government has lost interest in the role capabilities and human connectivity in service innovation and the 'science to business' model of knowledge innovation reinstated.Key Words: Leadership, Public Innovation Policy, Practice and System AlignmentOriginIn 2007 the British government created the Department of Innovation, Universities and Skills (DIUS) to stimulate innovation and a more integrated policy approach to skills, higher education and innovation. Innovation Nation, the DIUS White Paper on innovation, was published in 2008 and for the first time the British government innovation policy made reference to public sector innovation.Innovation in public services will be essential to the UK's ability to meet the economic and social challenges in the 21st century. Education, health and transport provide the underpinning for all innovative activity. Demand is growing amongst public service users for more efficient service that are personalized to their needs (DIUS, 2008).Innovation Nation recognized the challenges of climate change, public health, ageing, etc. and demanded that those in policy-making become much more explorative and innovative in their problem-solving and initiate dialogue across government, the public sector and business sectors. The government accepted that it needed to stimulate innovation in all sectors and a demand for public service innovation within government. Innovation Nation recommended investment in intermediaries such as the Design Council and NESTA1and the Whitehall Innovation Hub. The WIH's role was to develop Whitehall's internal innovation capabilities and the demand for innovation side, while the role of the Design Council and NESTA would be to stimulate social innovation supply. Although the supply side of social innovation was strong, it lacked funding, government recognition and an infrastructure to sustain it. There was growing recognition that government policy-makers needed to be more concerned with innovation demand (Edler & Georghiou, 2007; Georghiou, 2007).The WIH was situated within the Sunningdale Institute led by Professor Sue Richards as part of the National School of Government [NSG], formerly known as the Civil Service College. Su Maddock was seconded from Manchester Business School to be the WIH Director on the basis of her experience in public leadership, public service innovation and knowledge exchange. …

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0020.000
Scholarly communication0.0010.003
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 head0.032
GPT teacher head0.258
Teacher spread0.226 · 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.

Study designTheoretical or conceptual
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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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