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Record W4402133978 · doi:10.1111/caim.12634

Heedful proactivity: How individual tactical considerations contribute to pre‐screening of innovative ideas in the hierarchy

2024· article· en· W4402133978 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCreativity and Innovation Management · 2024
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsnot available
FundersBrock UniversityAarhus UniversitetHarvard Business School
KeywordsProactivityHierarchyBusinessPsychologyMarketingOperations managementEconomicsSocial psychologyMarket economy

Abstract

fetched live from OpenAlex

Purposefully fostering creativity and innovation through stimulating proactivity requires grappling with an apparent trade‐off. On the one hand, organization members need some autonomy to initiate change. On the other hand, managers might want to steer initiatives and retain control over outcomes. The current paper advances recent work on how proactivity is enacted as a compromise between autonomy and control by studying the process through which bottom‐up ideas are shared in highly hierarchical organizations. Based on an abductive analysis of data from informants in 42 organizations, we develop the concept of pre‐screening, which denotes collective action patterns geared towards qualifying individuals' innovative ideas before they are made subject to formal decision making. We explain how proactive individuals' tactical considerations—informed by their holistic prospective thinking, risk hedging, temporal splitting, and a both/and approach to proactivity and hierarchy—influence the actions through which ideas are shared and who are approached first (e.g., supervisors vs. peers). We also exemplify how action patterns accomplishing idea sharing and pre‐screening are entangled with more mundane workplace routines. Overall, the paper sheds new light on ideas' journeys in the context of hierarchy and opens up multiple avenues for future research.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.922
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.392
Teacher spread0.300 · 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