Notice bibliographique
Résumé
Abstract Technology might be innovative and exciting but ultimately it's deliveredbusiness value that measures success. Oil and gas companies have made hugeinvestments in ERP systems, land management systems, procurement portals, networks and infrastructure projects. Some have been successful while othershave simply been expensive projects with questionable return. To squeeze valueout of present IT investment companies must examine how they will leveragetechnology in the future. So what's the next big wave? Collaboration? Webservices? Employee Portals?Enterprise Application Integration? Do any of these technologies matter? Thispaper will identify key industry practices for driving value from IT. It willexamine common IT delivery models from the fully outsourced to solely in-house.It concludes with a discussion on how companies in the oil and gas sector canderive more value from their IT dollars. Introduction The next technology wave is unlikely to be a flood of innovative advancements.Collaboration, web services and enterprise application integration, whilesignificant will not garner the attention of IT as new technologies have in thepast. Rather it will be a wave of newfound fiscal management for Information Technology that will steal the limelight. Many oil and gas companies have madehuge investments in IT over the last decade. However, after years of escalatingexpenditures, the results have often been less than stellar. IT departmentshave been marked with the stigma of broken promises, poor customer service andunder delivery. As a result, IT is under pressure. For example:Despite record earnings in the first half of 2001 a major integrated oilcompany recently undertook a multimillion dollar cost reduction programslashing IT costs by an estimated 20'.A pipeline company is significantly reducing spending in all operations. ITis among the areas hardest hit. Initiatives are being scaled back and servicecontracts not renewed. An outsourcing deal was curtailed in an effort tostreamline processes and reduce costs.A multinational engineering company halted the implementation of a runaway SAP implementation at the border stranding Canadian operations on a legacymainframe application to avoid capital costs. However, the Canadian divisionwas still hit with layoffs in IT.Despite these challenges, information technology is at the heart of theevolution of every company in the energy sector. CREATING ENDURING VALUE WITH INFORMATION TECHNOLOGY With the glamour of the dot com era behind us, we are now entering a maturingphase of IT. The recent explosion and subsequent implosion of dot com mania hasserved many purposes, one of which was to educate broader numbers of people onthe use of technology and it's limitations. Gone are the days when IT managerscan say "will build it and you will come - trust me " while asking for morefunding. Sophisticated customers now demand to know the magnitude and timingfor business benefits from IT projects. With technology firmly in themainstream of our lives, customers understand the value of informationtechnology. Increasingly, IT will be measured by the business results theygenerate (i.e. the benefits to be gained that the customer is willing payfor).
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».