Efficiency of Information Systems: Influence on Collective Intelligence and Organizational Agility
Notice bibliographique
Résumé
The main objective of this study is to analyze the effectiveness of information systems (IS) and its influence on collective intelligence and organizational agility within companies. In particular, the research explores how a well-designed and high-performing IS can facilitate collaboration between employees, improve knowledge sharing, and strengthen organizational responsiveness to market changes. The study also seeks to understand the extent to which collective intelligence acts as a mediator between IS effectiveness and organizational agility. A mixed approach was used in this study, combining quantitative and qualitative methods to provide a comprehensive analysis of the phenomenon. A sample of 150 companies was selected to answer a structured questionnaire measuring the effectiveness of their IS, their level of collective intelligence and their organizational agility. In addition, 30 semi-structured interviews were conducted with company managers to deepen the understanding of the organizational dynamics around IS and their impact on internal collaboration and flexibility. Quantitative data were analyzed using multiple regressions and correlations, while qualitative data were explored using thematic analysis. The results reveal a significant correlation between IS effectiveness and collective intelligence (0.62), as well as between collective intelligence and organizational agility (0.58). The study shows that companies with effective information systems benefit from better collaboration between their teams. This promotes collective decision-making and strengthens their ability to react quickly to changes in the market. The qualitative analysis confirms that IS facilitates knowledge sharing and allows for greater transparency in decision-making processes, which improves organizational responsiveness. Moreover, it has been found that collective intelligence acts as a key mediator between IS efficiency and agility, increasing the flexibility and adaptability of companies. The theoretical implications of this study reinforce existing work on information systems, showing how they promote collective intelligence and organizational agility. From a practical perspective, the results indicate that companies need to invest in flexible and collaborative information systems to improve their overall performance. Information systems that facilitate knowledge sharing and cross-functional communication within teams are strategic assets for organizations looking to increase their responsiveness and competitiveness in ever-changing environments. It is also essential to promote a culture of collective intelligence to maximize the impact of information systems on organizational agility.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».