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Record W7010209968

Hemarbete och organisationsidentitet: En kvalitativ studie om hur Uppsala kommuns organisationsidentitet bevaras och återskapas

2023· article· en· W7010209968 on OpenAlexaboutno aff

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2023
Typearticle
Languageen
FieldPsychology
TopicFacilities and Workplace Management
Canadian institutionsnot available
Fundersnot available
KeywordsOrganizational identityIdentity (music)Work (physics)Organizational identificationQualitative researchOrganizational commitmentOrganizational cultureOrganizational studiesOrganization development
DOInot available

Abstract

fetched live from OpenAlex

The purpose with this essay is to understand what happens with the organizational identity at a Swedish municipality when employees work partly from home. The municipality we are focusing on is Uppsala kommun. Our research question concerns how Uppsala kommuns organizational identity maintains and recreates when employees partly work from home. The theoretical framework we apply to this essay is the CCO-perspective based on the Montreal School. We also use the theory of organizational identity and a theory that describes the concept of place. The method to gather data is qualitative semi-structured interviews with six employees at Uppsala kommun. The results show that the employees at Uppsala kommun maintain the organizational identity through the valuebase, sense of belonging to the organization, how they compare Uppsala kommun with other organizations and how they communicate. Furthermore, non-human actors such as place maintain the organizational identity. These places were Teams, the home office and city hall that maintain the organizational identity. Finally, the results show that human and non-human actors recreate the organizational identity through booking meetings, trust, effective work and hybrid solutions. They create different ways of communicating, working and using the digital channels due to distance work. This contributes to society by gaining a greater understanding of how distance work impacts organizational identity. Partly by the importance of an office, but also its effects on coordinating organizations.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.004

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 head0.033
GPT teacher head0.322
Teacher spread0.289 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueKTH Publication Database DiVA (KTH Royal Institute of Technology)Same topicFacilities and Workplace ManagementFrench-language works237,207