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Two Methodologies for Structured Organizational Change: Lessons from the University of British Columbia

2005· article· en· W2991951231 sur OpenAlexaboutno aff
Gaylea Wong, Lisa Collins

Notice bibliographique

RevueCollege and university · 2005
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueBusiness Process Modeling and Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusiness process reengineeringRestructuringProcess managementChange management (ITSM)Process (computing)Business processTechnological changeComputer scienceBusinessEngineering managementOperations managementWork in processEngineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The University of British Columbia (UBC) has experienced tremendous growth since its establishment in 1917, but it has become clear that some of its business practices have needed modification to meet with new demands of expansion and technological change. In addition to ongoing renewal efforts, UBC has successfully employed structured organizational change methodologies, including Business Process Redesign and Process Streamlining. This article gives an overview of our experience with structured change methodologies. Process Streamlining and Business Process Redesign Hammer and Stanton (1995) define Business Process Redesign (BPR) as the fundamental rethinking and radical redesign of business processes to bring about dramatic improvements in The key to BPR methodology lies in three defining words: fundamental, radical, and dramatic. Redesign, or reengineering, by definition, is not glorified downsizing, job restructuring, reorganization, automation, or even a traditional business project. Rather, it deals with fundamental questions about why we do what we do, and focuses not on what is, but what should be. It is about reinventing, not improving, enhancing, or modifying. The optimum outcome of reengineering is found in quantum leaps in It is essential to discard old ways and introduce a totally new approach (Hammer and Champy 1993). Though prospect of dramatic and radical change is often daunting, BPR methodology is designed not just to change, but to dramatically improve processes by reorganizing and restructuring how tasks are combined and completed. Redesign of processes naturally leads to further improvement within rest of organization. Process Streamlining (PS) may also result in dramatic changes and improvements in performance. Assessing which methodology is best to apply in a given situation is not always easy, so it helps to understand differences between a BPR and a PS project. The degree of radical change expected and timeline for implementation are two distinguishing features, as exemplified in Table 1. Both methodologies rely on a Case for document that is developed by a planning body before team begins its work. A key feature of case for Action is careful articulation of desired end result, i.e., in very specific terms, what it is that team is set out to accomplish. The case for Action also specifies scope of project and identifies any particular constraints, such as legislation that is not easily changed or a deadline that absolutely cannot be avoided. The importance of case for Action should not be underestimated, as a team will refer to this document repeatedly as they undertake their work. One other critical element for success is a commitment from senior management to accept team's solutions as long as they fall within any specified constraints and work towards a satisfactory end result. This commitment empowers team members to explore most creative solutions and set aside preconceptions of what would likely be acceptable to senior management. UBC's Student Information Management Plan BPR Project Summary In 2000, Enrollment Services sought to improve its general operations, and focused its attention on interactions with new and prospective students. Providing excellent service to students is a key goal for UBC-mentioned both in V-P Students Strategic Plan and in Trek 2010, University's Strategic Plan. Despite a very strong commitment to excellent service, staff members often experienced frustration at being unable to serve increasing numbers of students-some of whom needed help to navigate complex processes and systems-because of inadequate resources. To improve our processes and service, we applied BPR principles in order to make radical changes in way we recruited and admitted undergraduate students. The project, known as Student Information Management Plan (SIMPL), is described below. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,865
Score d'incertitude au seuil0,688

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,019
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,005
Études des sciences et des technologies0,0140,018
Communication savante0,0140,006
Science ouverte0,0030,006
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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.

Tête enseignante Opus0,046
Tête enseignante GPT0,234
Écart entre enseignants0,188 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
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
Publié2005
Routes d'admission1
Résumé présentoui

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