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Record W4285803485 · doi:10.3390/admsci12030083

Empirical Analysis of Strategic Management in Inter-Governmental Organization

2022· article· en· W4285803485 on OpenAlex
James Wan, Ling Wang, Raafat George Saadé, Hong Guan, Hao Liu

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

VenueAdministrative Sciences · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsConcordia University
Fundersnot available
KeywordsConstruct (python library)Confirmatory factor analysisStrategic planningContext (archaeology)BusinessEmpirical researchExploratory factor analysisStrategic managementStrategic controlStrategic alignmentChange management (ITSM)Exploratory researchKnowledge managementFace (sociological concept)Strategic thinkingProcess managementStrategic financial managementMarketingComputer scienceSociology

Abstract

fetched live from OpenAlex

In this study, we present a strategic change theoretical model and empirically validate it in the context of inter-governmental organizations. We followed a survey methodology approach and tested our model hypotheses using exploratory and confirmatory factor analysis. Traditional strategic management models were created primarily with the private sector in mind. Therefore, validation of the model constructs for their appropriateness to the present construct is essential, especially that these types of organizations, such as those of the United Nations agencies, face major challenges when it comes to change. We found significant re-groupings of items, leading to the necessity to reformulate the constructs, as the context of our study is significantly different. We found that institutional pressures have a significant influence on strategic change and were mediated by strategic formulation. We also found that strategic pressures did not have any influence on strategic intent. Our research theoretical model and results provide many insights to future research directions and inter-governmental organizational practitioners who are engaged in change management.

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 categoriesInsufficient payload (model declined to judge)
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 score0.795
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.009
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.108
GPT teacher head0.343
Teacher spread0.235 · 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