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Record W2160508049 · doi:10.2308/isys-50321

The Chief Information Officer and Chief Financial Officer Dyad in the Public Sector: How an Effective Relationship Impacts Individual Effectiveness and Strategic Alignment

2012· article· en· W2160508049 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

VenueJournal of Information Systems · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsOfficerBusinessChief executive officerDyadCorporate governancePublic relationsKnowledge managementManagementAccountingPsychologyFinanceEconomicsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

ABSTRACT Within the domain of Information Technology Governance (ITG), the study of Chief Information Officer (CIO) relationships has historically focused on the Chief Executive Officer (CEO) and the Top Management Team (TMT). Within knowledge-intensive, publicly funded, and not-for-profit organizations, the specific relationship between the CIO and the Chief Financial Officer (CFO) is a critical pairing, which impacts both individual effectiveness and strategic alignment. Findings from multiple case studies suggest that while the CIO and CFO pair are similar to other TMT relationships in many ways, their perceptions of the other's strategic role within the organization is a key differentiator that can lead to effective or adversarial relationships with individual and firm-level outcomes. The research model in this paper suggests that when the relationship is positive, both individual role effectiveness and strategic alignment improve.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.024
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 head0.018
GPT teacher head0.227
Teacher spread0.209 · 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