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The Ethics of Strategic Managerial Communication in the Global Context

2016· book-chapter· en· W2486345167 on OpenAlexaff
Angelo A. Camillo, Isabell C. Camillo

Bibliographic record

VenueAdvances in linguistics and communication studies · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsBrock University
Fundersnot available
KeywordsStrategic communicationContext (archaeology)BusinessBusiness communicationCommunications managementPublic relationsCommunication studiesConfidentialityStrategic managementBusiness ethicsStrategic thinkingKnowledge managementStrategic planningPolitical scienceMarketingComputer science

Abstract

fetched live from OpenAlex

Managerial Communication, in today's hyper communicative global business, is integral to business related disciplines such as strategic management, leadership, strategic marketing, and business ethics, etc. However, within the context of global strategic management, Managerial Communication follows under the broad umbrella of “Business Communication”. Communication with internal and external stakeholders demands careful – ethical considerations, regardless of the industry. Having an inclusive – ethical strategic managerial communication policy in place, allows for strategic information dissemination as well as the protection of transmission of confidential data. This chapter discusses the topic of communication in general with emphasis on ethical managerial communication within the global context. The result of the study confirm that effective – ethical communication strategies and appropriate communications policy implementation is conducive to the firm's success. Within the framework of managerial leadership effectiveness, ethical managerial communication refers solely to managerial communication within the context of ethical global business management and not media communication.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.016
Scholarly communication0.0080.004
Open science0.0000.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.123
GPT teacher head0.431
Teacher spread0.307 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2016
Admission routes1
Has abstractyes

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