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Enregistrement W4320153321 · doi:10.31355/87

The PMO as Performance Driver for Non-Profit Organizations – From Operational Data to Strategic Goals

2022· article· en· W4320153321 sur OpenAlexaff
Celso Sawaia

Notice bibliographique

RevueJournal of Digital Innovation for Humanity · 2022
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueConstruction Project Management and Performance
Établissements canadiensUniversité du Québec à Montréal
Organismes subventionnairesnon disponible
Mots-clésOPM3Process managementBusinessProject managementOrganizational performanceProject stakeholderKnowledge managementProject management triangleProject portfolio managementProject charterComputer scienceEngineeringSystems engineering

Résumé

récupéré en direct d'OpenAlex

Aim/Purpose: The need to measure and report on performance is an acute necessity for any organization, especially non-profit organizations. However, measuring the impact of operations and projects on non-tangible goals can be challenging given the diversity of objectives and project structures adopted by these organizations. This paper proposes that the Project Management Office (PMO), as the central body for project excellence in an organization, takes an assertive role as one of the drivers of organizational performance, when adopting a KPI measuring strategy associated with the organizational strategic objectives. By adopting project operational indicators aligned with organizational strategy and the data derived from delivered projects, one can trace a direct relation between project data and strategic success. Besides the quantitative associations between project data and meeting organizational objectives, the author also briefly evaluates the contribution of qualitative, human aspects of project management to those objectives. Background: Since the early 90’s, the concept of project management offices (PMO) has been spreading and their implementation in organizations of different sizes and complexity is increasing significantly. There are several definitions and approaches to what a PMO is. The Association for Project Management defines it simply as “An organizational structure that provides support for projects, programs, and/or portfolios”. The Project Management Institute defines it as “An organizational body or entity assigned various responsibilities related to the centralized and coordinated management of those projects under its domain”; while others define it as “The decision-enabling and support business model for all business changes in the organization”. Whatever view or definition is used, the PMO aims to enhance resource use and management, minimize project and program risks, as well as to re-engineer processes and internal structures that deal with the delivery of projects and programs. An organization that properly implements a PMO was found to be more effective. When well-integrated into the organizational structure, the PMO brings adequate control of an organization’s portfolio allowing focused investments that will contribute to the company’s performance reflected by leaner resource management, higher quality of products, and a more aggressive time-to-market strategy. This increment in performance, obtained from the investments in project management practices can lead to the rapid growth of the organization. Although the PMO's contribution to strategy can be seen through targeted measures, monitoring activities, and standardizing methods, the lack of empirical evidence of success is generally attributed to the lack of its recognition as a method for enhanced performance. This disconnection is even more evident when evaluating the performance of non-profit organizations, which usually lag in formal organizational structure and do not have a formal process to track and measure long-term benefits. This gap between the measured benefits of a PMO and the organizational strategic objectives is the primary motivation for this study where we propose a performance measurement method that links tangible outputs (project goals and objectives) to non-tangible benefits (the organization strategic objectives) defining organizational strategic KPIs focused on project and program performance. Methodology: The first step is to define the relationship between the five major areas of activities for the non-profit. These relationships are depicted in a Map of Impact Drivers for a fictional non-profit with the vision of improving the quality of life of poor communities. We then identify some KPIs, such as the number of projects completed, the number of services implemented, and the number of communities with active projects, to name a few. The mission to the impacts transforming all mapped activities into measurable quantities are then tabulated. Findings: A causal linkage map supported by a strong set of performance indicators for measuring financial and non-financial aspects of the organization's outputs is proposed. The choice of which indicators to be used is highly dependent on the organization’s goals and operations, to which the PMO must adapt to properly meet its monitoring goals. As such, the PMO becomes an intrinsic part of the organization’s effort to be more effective in achieving its strategic goals. This interdependence between the PMO and the other areas of the organization, especially human resources, implies that changes dictated by the PMO will directly affect other areas of the organization that also contribute to the overall 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 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)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Communication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,484
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0020,000
Communication savante0,0010,002
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,258
Tête enseignante GPT0,404
Écart entre enseignants0,147 · 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'étudeSans objet
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

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

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