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Information Technology Management: A critical Analysis of Managerial Impediments Facing Information Technology Managers

2011· article· en· W1599719915 sur OpenAlexaffabout
Vincent Sabourin

Notice bibliographique

RevueComputer Engineering and Intelligent Systems · 2011
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInformation Technology Governance and Strategy
Établissements canadiensUniversité du Québec à Montréal
Organismes subventionnairesnon disponible
Mots-clésObstacleAction (physics)PerceptionDimension (graph theory)Knowledge managementBusinessProcess managementComputer sciencePublic relationsPsychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The paper intended to study managerial impediments which may hinder strategy and objective implementation by IT managers and technicians. The managerial drivers included: rules, initiatives, emotions, immediate action and integrity. This paper describes the drivers of strategy implementation by managers in IT departments to implement their organizational objectives. The findings on Perception of IT managers and administrators towards the managerial drivers of objective implementation by IT managers has put a lot of emphasis on rules and the lack of commitment of employees (the dimension of emotions) to explain the obstacles faced by IT managers. Though the finding of our data suggests that a driver of emotions is the most critical obstacle to IT management, there are important drivers, such as immediate action that will force managers to take emergencies to deal with urgent matters without compromising organizational objectives. Thus it also proves to be vital driver to IT management. Purpose: This research was carried out to investigate on the strategic impediments facing IT managers with regard to their attitudes and organizational perception. The study involved effective drivers of management, which constituted individual obstacles that IT administrators and technicians face during their objective implementation. Methodology: A mixed method of qualitative (focus group discussion) and quantitative (a survey with a questionnaire) approaches was applied to this study. These involved group discussion of IT technicians and administrators in the selected organizations in a Canadian province. The total number of surveyed managers was 147. Results : With regards to the drivers of management, it was established that the driver of emotions holds the highest consideration towards attitudes, management and employee motivation. This driver had, a frequency recorded 137, mean of 3.6923, median of 3.800 and standard deviation of 0.81950. The driver of rules was after analysis found to have a frequency of 145, a mean of 3.107, median of 3.400 and standard deviation of 0.76265. The driver of immediate action had a frequency of 134, mean of 3.1448, median of 3.200 and standard deviation of 0.86135. The driver of integrity had a frequency of 134, mean of 3.0489, median of 3.00 and standard deviation of 0.90948. The driver of initiatives had a frequency of 138; mean score of 3.4214, median of 3.45 and standard deviation of 0.85542. The summary of the report has been presents in table 2. Conclusion: This study is focused on the impediments experienced by IT managers as they implement their objectives. Taken as a whole, our findings suggest that, there are some impediments associated with drivers of Emotions, immediate action, Rules and initiatives. Even if these obstacles are in multiple levels to develop and promote IT management and objective implementation skills, it is imperative to study with more depth obstacles faced by IT managers in order to better understand how obstacles they face represent an impediment to the development of their competencies and effective performance in IT. Keywords: Information Management, Strategic and Objective implementation, Information technology (IT), Information and Communication Technology (ICT)

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,953
Score d'incertitude au seuil0,840

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0040,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,003
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,008
Tête enseignante GPT0,190
Écart entre enseignants0,182 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
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
Publié2011
Routes d'admission2
Résumé présentoui

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