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Record W2130150862 · doi:10.1109/bdim.2006.1649206

The 5 C Challenges of Business-Driven IT Management and the 5 A Approaches to Addressing Them

2006· article· en· W2130150862 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsLakehead UniversityWestern University
Fundersnot available
KeywordsCompromiseContext (archaeology)Computer scienceProcess managementKnowledge managementAdaptabilityInformation and Communications TechnologyRisk analysis (engineering)BusinessWorld Wide WebManagement

Abstract

fetched live from OpenAlex

To summarize to business people the main challenges of business-driven information and communication technology (ICT) systems management, we suggest "the 5 C challenges of ICT systems management": 1) cost-benefit relationship, 2) complexity, 3) conformance to higher-level objectives, 4) circumstances and their diversity, and 5) change. We also advocate the slogan "To address the 5 C challenges you need at least the 5 A approaches and a compromise." Here, the "5 As" are the main approaches for addressing the "5 Cs": 1) analysis of benefits and costs, 2) automation of management activities, 3) aims (objectives, policy) modeling and processing, 4) accommodation of different circumstances through customization and context-sensitivity, and 5) adaptability. We also discuss how these 5 Cs and 5 As relate to self-management, policy-based management, and contract-based management and how they can be used for presenting a new project on modeling and using business value information.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.140
GPT teacher head0.227
Teacher spread0.087 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations9
Published2006
Admission routes1
Has abstractyes

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