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Record W2165369629 · doi:10.5539/ibr.v2n4p109

Communication Skill of the Business Executives: An Empirical Study on Some Local Private Business Concerns in Bangladesh

2009· article· en· W2165369629 on OpenAlexvenueno aff
Nargis Akhter, Sardana Islam Khan, Md Kamrul Hassan

Bibliographic record

VenueInternational Business Research · 2009
Typearticle
Languageen
FieldEngineering
TopicRobotic Process Automation Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTraining (meteorology)Quality (philosophy)Communication skillsEmpirical researchPublic relationsBusinessBusiness communicationMarketingPsychologyMedical educationPolitical science

Abstract

fetched live from OpenAlex

The study which is mainly based on primary data attempts to focus on the facts relating to the communication skill of the different levels of business executives of local private business concerns in Bangladesh and their level of awareness regarding the importance of communication skill in their professional career. The study reveals that majority of the executives have positive opinions regarding the importance of communication course designed for executives. Most of the respondents have completed communication course, but majority of them are dissatisfied with it. The study also discloses that many of the executives have received training on communication skill; however majority of them are dissatisfied with course content and quality. Although majority of the executives think that there should be compulsory training program on communication skills in business organizations, still compulsory training programs on communication skill do not exist in any of the respondents’ business organizations. Academicians should design and conduct communication courses keeping their application perspectives in view. Moreover employers should arrange compulsory training program on communication skill for their own executives.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.067
GPT teacher head0.402
Teacher spread0.335 · 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 designObservational
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

Citations8
Published2009
Admission routes1
Has abstractyes

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