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Record W7057160115

HUR EN ORGANISATION KAN ÖKA FÖRUTSÄTTNINGARNA FÖR EN LYCKAD IMPLEMENTATION AV IT. : En kvalitativ studie om hur en offentlig verksamhet kan arbeta med att öka förutsättningarna för en lyckad implementation av IT i en förändringsprocess.

2023· other· en· W7057160115 on OpenAlexaff

Bibliographic record

VenueDiVA at Umeå University (Umeå University) · 2023
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsInuit Tapiriit Kanatami
Fundersnot available
KeywordsPublic sectorChange management (ITSM)Health careWork (physics)Relation (database)Health sectorNew public managementPublic healthcare
DOInot available

Abstract

fetched live from OpenAlex

Organizations are being more and more dependent on digital platforms and intranets to be as efficient as they can. Digitizing is enabling different ways to streamline operations and make them more effective. The public sector is no different. But due to different factors they have not been able to keep up with the surrounding tempo regarding digitizing. Healthcare in the public sector is nowadays continuously being digitized with new platforms and intranets to use internally and systems for the patients to use externally. To be able to tackle the challenge with digitizing healthcare in the public sector that has not previously caught up with all the new technology and IT-systems they need to be able to lead change, whereof change management is getting more and more relevant. But it is not just change management that is getting relevant, it is change management with relation to IT, a previously inadequate research area maybe due to the fact that it is so specific or has not been around long enough. The aim of this study is to research how a region is currently working with communication, IT and change management to be able to examine how they can create a better collective understanding internally during implementation of IT with the goals of creating a understanding for how the many different aspects in play can increase the conditions, with the end goal of a successful implementation in healthcare within the public sector.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0030.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0800.001

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 head0.017
GPT teacher head0.284
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDiVA at Umeå University (Umeå University)Same topicMagnetic confinement fusion researchFrench-language works237,207