MétaCan
Menu
Retour à la cohorte
Enregistrement W7141393214 · doi:10.54489/6v67h310

Stakeholder Dynamics and Performance Outcomes: Insights from UAE Medical Project Ecosystems

2025· article· W7141393214 sur OpenAlexaboutno aff
Mounir El Khatib, Latifa Abdelrahim Dorabi Alzarooni

Notice bibliographique

RevueInternational Journal of Business Analytics and Security (IJBAS) · 2025
Typearticle
Langue
DomaineComputer Science
ThématiqueOrganizational and Employee Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProject stakeholderStakeholderStakeholder analysisProject charterProject sponsorshipStakeholder managementProject risk managementProject planningProject management

Résumé

récupéré en direct d'OpenAlex

Bibliography Ahmed, R. a. (2017). Empirical study of project managers’ leadership competence and project performance. Engineering Management Journal, 29(3), pp.189-205. Ajmal, M. M. (2017). Factor analyzing project management practices in the United Arab Emirates. International Journal of Managing Projects in Business. Al-Ali, M. O. (2018). A 1000 Arab genome project to study the Emirati population. . Journal of human genetics, 63(4), 533-536. Antonacci, G. R. (2018). The use of process mapping in healthcare quality improvement projects. . Health services management research, , 31(2), pp.74-84. Assaad, E.-A. (2020). Predicting project performance in the construction industry . journal of construction engineering and managment. Bahadorestani, A. N. (2020). Planning for sustainable stakeholder engagement based on the assessment of conflicting interests in projects. . Journal of Cleaner Production, , 242, p.118402. De Gooyert, V. R. (2017). Reviewing the role of stakeholders in operational research: A stakeholder theory perspective. . European Journal of Operational Research, 262(2), pp.402-410. Derakhshan, R. T. (2019). Project governance and stakeholders: a literature review. . International Journal of Project Management,, 37(1), pp.98-116. Di Maddaloni, F. a. (2017). The influence of local community stakeholders in megaprojects: Rethinking their inclusiveness to improve project performance. . International journal of project management,. Dwivedi, P., & Dwivedi , R. (2021). Role of Stakeholders in Project Success: Theoretical Background and Approach. International Journal of Finance, Insurance and Risk Management , 38-49. El-Khatib, M. S. (2019). The effect of AI on project and risk management in health care industry projects in the United Arab Emirates (UAE). Freeman, R. (2017). Five challenges to stakeholder theory: A report on research in progress. In Stakeholder management. . Emerald Publishing Limited. Gruden, N. a. (2018). The influence of behavioral competencies on project performance. . Project Management Journal,, 49(3), pp.98-109. Gulfnews.com. (2021). Genome study to have ‘huge impact’ on UAE society. Retrieved from https://gulfnews.com/uae/health/genome-study-to-have-huge-impact-on-uae-society- 1.61747248 Health mubadala, M. (2021, November 15). about us. Retrieved from Mubadala Health: https://mubadalahealth.com/about-us/ Health, M. (2021, November 15). Cleveland Clinic Abu Dhabi. Retrieved from About Cleveland Clinic Abu Dhabi: https://mubadalahealth.com/our-network/cleveland-clinic-abu-dhabi Heldal, I. a. (2018). The Digital HealthLab: Supporting Interdisciplinary Projects in Engineering and in Health Education. Journal of Applied Technical and Educational Sciences, 8(4), pp.4-21. Hettiarachchi, H. (2020). The Role of stakeholders in successful implementation of design and build projects in Sri Lanka (Doctoral dissertation). Iskandar, K. (2018). A New Comprehensive Mathematical Assessment Methodology for Team Collaboration and Integration and Project Performance in Healthcare Construction. . The University of Wisconsin-Madison. Jong, C. S. (2019). The relationship between TQM and project performance: Empirical evidence from Malaysian construction industry. . Cogent Business & Management. Kerzner, H. (2017). Project management metrics, KPIs, and dashboards: . a guide to measuring and monitoring project performance. Kuwaiti, E. A. (2018). Determining success factors in Abu Dhabi health care construction projects: customer and contractor perspectives. International Journal of Construction Management. Mazurek, M. (2019. ). PRACTITIONER APPLICATION: Does Patient Safety Pay? Evaluating the Association between Surgical Care Improvement Project Performance and Hospital Profitability. Journal of Healthcare Management, . Mbarek, H. G.-M.-S. (2021). Qatar Genome: Insights on Genomics from the Middle East. Nederhand, J. a. (2019). Stakeholder involvement in public-private partnerships: . Its influence on the innovative character of projects and on project performance. . Nguyen, V. T. (2021). Assessing the relationship chain among causes of variation orders, project performance, and stakeholder performance in construction projects. . International Journal of Construction Management. Rehman, M. S. (2021). Impact of COVID-19 on project performance in the UAE construction industry. . Journal of Engineering, Design and Technology. Sirisomboonsuk, P. G. (2018). Relationships between project governance and information technology governance and their impact on project performance. . International journal of project management. Stelson, P. H. (2017). What drives continuous improvement project success in healthcare? International journal of health care quality assurance. Tommy, A. (2021, August 7). The ground breaking Emirate Genome Project. Retrieved from https://beaconnews1.blogspot.com/2021/08/the-ground-breaking-emirate- genome.html Too, E. L. (2017). Front-end planning-The role of project governance and its impact on scope change management. International Journal of Technology, 8(6), pp.1124-1133. UAE., T. (2021). The Emirati Genome Program. Retrieved from the uae: https://u.ae/en/information-and-services/health-and-fitness/the-emirati-genome- programme Uaefreezones.com. (2021). Dubai Healthcare City. Retrieved from https://www.uaefreezones.com/fz_dubai_healthcarecity.html Uribe, D. O.-M. (2018). What is going on with stakeholder theory in project management literature? A symbiotic relationship for sustainability. . Sustainability, , 10(4), p.1300. Wamugu, J. a. (2017). Role of stakeholder’s participation on the performance of constituency development fund projects in Mathira East constituency in Kenya. International Academic Journal of Information Sciences and Project Management, , 2. watt, A. (2012). Stakeholder Managment. Vancouver, Canada. Xu, X. X. (2021). Stakeholders’ power over the impact issues of building energy performance gap: A two-mode social network analysis. Journal of Cleaner Production. Zawaya. (2021, June 23). PROJECTS: Top 5 healthcare projects in GCC amount to a $2.5bln spending spree. Retrieved from Zawaya: https://www.zawya.com/mena/en/projects/story/PROJECTS_Top_5_healthcare_projects_in_GCC_amount_to_a_25bln_spending_spree-ZAWYA20210623115149/

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,815
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,019
Tête enseignante GPT0,255
Écart entre enseignants0,237 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueInternational Journal of Business Analytics and Security (IJBAS)Même sujetOrganizational and Employee PerformanceTravaux en français237 207