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Record W2342838909 · doi:10.15173/jpc.v4i2.2631

Preparing for the coming storm: Exploring interactions between corporate values and crisis management

2016· article· en· W2342838909 on OpenAlexvenueno aff
Matt Tidwell

Bibliographic record

VenueJournal of Professional Communication · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLeadership and Management in Organizations
Canadian institutionsnot available
Fundersnot available
KeywordsPanacea (medicine)Crisis managementPublic relationsCorporate communicationCrisis communicationCrisis responsePolitical scienceOrganizational cultureEthical valuesBusinessCorporate social responsibilityManagementSociologyLawEconomicsSocial science

Abstract

fetched live from OpenAlex

One of the most prevalent corporate trends of the last several years has been the rush for companies to identify their core purpose and core values as a means to differentiate and create a sustainable winning culture. Yet even with more emphasis on stated ethical philosophies, internal crises and scandals have continued to plague corporations. This pilot project uses in-depth interviews with senior public relations executives from large companies. The project examines how companies integrate corporate ethical philosophy into their crisis planning and response procedures and concludes that, while a well-entrenched core values program can serve as a powerful tool and a framework for crisis planning and decision-making, it should not be viewed as a panacea. Further, the research finds that poorly executed values programs are destabilizing to an organization and actually make crisis response more problematic.©Journal of Professional Communication, all rights reserved.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.013
Scholarly communication0.0140.010
Open science0.0010.008
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.157
GPT teacher head0.321
Teacher spread0.164 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2016
Admission routes1
Has abstractyes

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