MétaCan
Menu
Back to cohort
Record W4400083446 · doi:10.1007/s10961-024-10101-w

Innovation for sustainable development goals: a comparative study of the obstacles and tactics in public organizations

2024· article· en· W4400083446 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Technology Transfer · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsCarleton University
Fundersnot available
KeywordsObstacleBusinessContext (archaeology)Process (computing)Sustainable developmentCorporate governancePublic sectorKnowledge managementProcess managementEmpirical researchComparative casePublic relationsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This study examines obstacles and tactics in Sustainable Development Goals (SDGs)-oriented public sector innovation (PSI). We analyzed 137 SDGs-oriented PSIs in Thailand and Korea. First, our results indicate that the configuration of obstacles is influenced by politico-administrative context and innovation type. Organizational level obstacles are more frequent in Thailand, whereas interaction level obstacles are more common in Korea. Second, we reveal the tactics used to overcome various kinds of obstacles and develop a classification that identifies a new tactics type, forming & coordinating for tackling obstacles originating from the governance of collaboration in the innovation process. This empirical study provides public managers with insights to comprehend PSI obstacles and choose effective tactics for overcoming them.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.757
Threshold uncertainty score0.156

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
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 head0.037
GPT teacher head0.278
Teacher spread0.241 · 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