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Record W2182864754 · doi:10.19030/jber.v11i8.7979

Influence Of Corporate Social Responsibility As Perceived By Salespeople On Their Ethical Behaviour, Attitudes And Their Turnover Intentions

2013· article· en· W2182864754 on OpenAlexaff
Baptiste Bourdeau, Raoul Graf, Marie‐France Turcotte

Bibliographic record

VenueJournal of Business & Economics Research (JBER) · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCorporate social responsibilityTurnover intentionReputationBusinessSocial responsibilityOrganizational commitmentPublic relationsTurnoverPsychologyMarketingSocial psychologyPolitical scienceManagementEconomics

Abstract

fetched live from OpenAlex

The ethical behavior of salespeople has become a tremendous challenge in the business world. While a great majority of big companies communicate about their Corporate Social Responsibility, this study shows for the first time that Corporate Social Responsibility (CSR) has no influence upon the ethical behavior of salespeople. However, it demonstrates that a reputation associated with CSR can be a precious management tool that can be used to act upon salespeoples satisfaction, organizational commitment and turnover intentions. More specifically, CSR policies, as perceived by salespeople, increase their satisfaction level which, in turn, decreases their turnover intention. Likewise, CSR policies, as perceived by salespeople, increase their organizational commitment, which, in turn, contributes to decrease their turnover intention. In addition, this study provides avenues to explore regarding the tools influencing the ethical behavior of salespeople. The answers of 197 salespeople were collected using an innovative recruitment method with high potentialities - social networks.

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)0.015
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.270
GPT teacher head0.450
Teacher spread0.180 · 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.

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

Citations12
Published2013
Admission routes1
Has abstractyes

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