Strategic Integrity Management as a Dynamic Capability
Notice bibliographique
Résumé
Increasing societal expectations regarding responsible business conduct as well as an increasingly fierce enforcement environment are placing integrity and compliance highly on the list of management priorities. However, although many companies are investing serious efforts into compliance programs and are increasing the headcount within their compliance organizations it seems to be striking that severe ethical breakdowns still happen on a very regular basis. The reason may well be that strongly relying on classical elements of compliance programs to prevent misconduct such as establishing numerous policies, strengthening awareness training and increasing monitoring mechanisms works like trying to win the Tour de France with flat tires. Typically, structural causes are the driving forces behind systemic misconduct. These include; unbalanced incentives systems that determine bonuses, salary increases or career progression without any consideration of moral behaviors; a lack of responsible leadership; or a climate in which speaking-up is not an accepted practice but instead, represents a career risk that could lead to repercussions. Therefore, we suggest that in the interest of further preventing and reducing cases of misconduct a more analytic and less ideology driven discussion about the real and systemic root causes of integrity issues needs to take place. Unethical conduct should not just be viewed as lack of integrity or lack of certain character qualities of some individual employees. Such a perspective does not recognize the complexity of most corporate integrity or compliance issues. Research has shown that the apparent frequency of ethical misconduct is being caused by organizational factors that create enormous psychological pressures on individuals. This then leads to situations where even managers who are considered highly moral deviate from everyday ethical norms. People that constantly claim that compliance failures are mainly caused by the ethical misconduct of individuals – let’s call tem bad apples – and simplistically refer to the lack of personal integrity seem to confuse the real root causes. They may generate some kind of moral alarm but are not helpful in terms of finding systematic and sustainable solutions to the problem. In this chapter we describe how dynamic integrity management processes can be integrated into the game-changing organizational systems in order to avoid negative conduct. Further, we will build a road map of how integrity management can actively drive positive effects on firm performance and we describe how integrity management can be used dynamically as a strategic tool that creates positive effects on firm performance.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,012 |
| Communication savante | 0,014 | 0,011 |
| Science ouverte | 0,002 | 0,011 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».