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Record W7083298547 · doi:10.1016/j.pubrev.2025.102632

Cultural insights for the READINESS framework: A qualitative study of practitioner and scholar perspectives

2025· article· en· W7083298547 on OpenAlexaff

Bibliographic record

VenuePublic Relations Review · 2025
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsMindsetPreparednessCrisis managementOrganizational cultureWork (physics)Crisis communicationQualitative research

Abstract

fetched live from OpenAlex

Preparing and becoming “ready” for a crisis is a sticky endeavor. Organizations must adapt and overcome obstacles to effectively manage and engage crises. According to Jin et al.’s (2025) READINESS framework, READINESS is distinct from preparedness and resilience. Specifically, READINESS is a mindset indicating a desire to engage with crisis preparation and execute a crisis response. The purpose of this study is to examine the role of culture in READINESS, indicators of READINESS, attributes of crisis management leadership, and how an organization can build and strengthen READINESS. Twenty-six crisis communication experts (scholars and practitioners) responded to questions either in a focus group or in-depth interview format. Key findings include the importance of an organization being prepared and building and fostering a culture of READINESS before a crisis. Furthermore, cultural differences, such as organizational culture and national culture(s) surrounding a company, can impact how READINESS is carried out. Still, the base concept remains the same regardless of culture. Lastly, acting quickly, seeing the “big picture,” and exerting emotional intelligence exemplify optimal crisis management leadership, contributing to organizational culture and crisis READINESS. This work has implications for crisis leaders, informing them how to build and strengthen READINESS in their organizations. This study aims to be a stepping stone for future work in which researchers can develop a READINESS measure for application in the crisis management industry. • Organizational culture impacts how READINESS is carried out in a practical sense in specific organizations. • Preparation and expression of READINESS may differ across cultures, but the core of the READINESS mindset is the same. • To build and strengthen READINESS, an organization needs to have a culture of READINESS. • To build and strengthen READINESS, organizations need to foster relationships and collaboration. • Emotional intelligence is an attribute of crisis management leadership that demonstrates READINESS.

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 categoriesnone
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 score0.923
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.046
GPT teacher head0.377
Teacher spread0.331 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2025
Admission routes1
Has abstractyes

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