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Record W62059845

How CIO Position Influences IT Investments and Firm Performance

2013· article· en· W62059845 on OpenAlex
Jee‐Hae Lim, Kunsoo Han, Sunil Mithas

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 the Association for Information Systems · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsMcGill University
Fundersnot available
KeywordsBusinessIndustrial organizationPosition (finance)Computer scienceFinance
DOInot available

Abstract

fetched live from OpenAlex

Using data from over 250 US firms over the 1999-2003 period, we address how a firm’s CIO position influences the level of IT investments and the returns to IT investments. We find that CIO position has a significant impact on IT investments: firms with a formal CIO position make higher levels of IT investments. We also find that returns to IT investments are greater for firms whose CIOs hold multiple titles, compared to firms without CIOs or CIOs in less senior management positions. In addition, we find that the impact of CIO’s position on IT investments is much greater in “transform” industries compared to “automate” and “informate” industries. Further, we find that CIO position has significantly stronger impacts in IT intensive firms than in non-IT intensive firms, in terms of both its impact on IT investments and the moderating effect on returns to IT investments.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.014
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 head0.009
GPT teacher head0.189
Teacher spread0.180 · 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