The challenges of organizational agility: part 2
Notice bibliographique
Résumé
Purpose Planned episodic change programs, rigid processes and traditional structures, optimized for efficiency rather than agility, are no longer appropriate in a context where competitive advantage is fueled by high-speed innovation, supported by a more entrepreneurial mindset. The purpose of this paper is to offer a review of relevant research to provide an informed case for continuous strategic transformation facilitated by enhanced organizational agility. The concept of agility is explored, defined and a framework for categorizing agility-enhancing capabilities is presented. Specific aspects of this agility framework are examined to better understand how these interrelated competencies contribute to overall corporate performance in this fast-paced world. Design/methodology/approach A range of published empirical and practitioner research articles were reviewed to study the concepts of organizational agility and transformation as critical factors contributing to sustained competitive advantage, organizational performance and survival in the increasingly competitive global context. This literature review explores how organizations are overcoming the challenges imposed by their traditional structures, cultures and leadership models and identifies dynamic competencies to be developed to achieve a greater level of corporate agility. Findings Increased organizational agility increases the ability to respond proactively to unexpected environmental changes. The commitment to continuous transformation and agile strategies implies changes at all levels of the organization from its structure, through its leadership and decision-making dynamics, down to the skills and interpersonal relationships of the individuals implementing the agile mission. Research limitations/implications There is a gap in the literature with respect to agility, namely that most research focuses on the characteristics of agile organizations, with little attention given to how to develop agile capabilities and embed the commitment to continuous change deep into the corporate DNA, beyond the process level, into the psyche of the people driving the organization. Practical implications Managers should consider agility as an overarching principle guiding strategic and operational activities. Fostering agility-enhancing capabilities will be paramount in ensuring the successful integration of agility as a performance enhancing paradigm. Social implications For small- and medium-sized companies with limited resources, this reality makes staying relevant an uphill battle but also opens windows of opportunity. The challenge of the next century for large organizations will be to rekindle their innovative agile beginnings and for start-ups to continue to foster their dynamic capabilities as they grow. Originality/value The paper provides practical and empirical evidence of the importance of enterprise agility and specific dynamic capabilities 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 | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,006 |
| Communication savante | 0,009 | 0,005 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 ».