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Record W2074153357 · doi:10.1016/j.jom.2014.09.005

Top‐down, bottom‐up, or both? Toward an integrative perspective on operations strategy formation

2014· article· en· W2074153357 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

VenueJournal of Operations Management · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsWestern University
Fundersnot available
KeywordsTop-down and bottom-up designProcess managementContingencyProcess (computing)Perspective (graphical)Computer scienceStrategy implementationContingency theoryStrategic planningMacroAction (physics)BusinessOperations managementKnowledge managementMarketingEconomics

Abstract

fetched live from OpenAlex

Abstract Operations strategy is formed via complex processes that transpire in multiple directions at multiple organizational levels. While most previous studies focus on the “macro‐level” process of strategy formation from the dominant top‐down perspective, this study investigates the “micro‐level” process of strategy formation that governs interactions among competitive priorities, objectives, and action plans within operations. Using 111 (59 top‐down and 52 bottom‐up) action plans collected from six German manufacturing plants, we build on Kim and Arnold's (1996) framework and propose an integrated process model of operations strategy formation that encompasses both top‐down planning and bottom‐up learning. We also identify a contingency factor that affects their balance: centralized versus decentralized organizational structure. Finally, based on the analysis of their respective strategic content, we provide evidence concerning the complementary roles of top‐down and bottom‐up action plans in operations strategy.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.302
Teacher spread0.270 · 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