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Record W3091547060 · doi:10.1109/emr.2020.3027189

Stock Market Reaction to Chief Data or Digital Officers Appointments

2020· article· en· W3091547060 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

VenueIEEE Engineering Management Review · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Markets and Investment Strategies
Canadian institutionsUniversité Laval
FundersNational Natural Science Foundation of China
KeywordsOfficerChief executive officerAsk priceBusinessStock marketValue (mathematics)Stock (firearms)Big dataMarketingAccountingPublic relationsFinanceManagementEconomicsLawEngineeringComputer science

Abstract

fetched live from OpenAlex

The chief digital or data officer (CDO) manages big data, analytics, and new information strategies in organizations. CDO appointments are strategic, and we ask the question on whether announcing such appointments affect a broader market reaction. Our results show that although the stock market reaction is generally neutral to newly created CDO positions, it does react positively under certain conditions. The reaction is more positive when firms have strong growth prospects and do not have existing chief information officers (CIOs). The market also reacts positively to an outsider CDO when CIOs are absent. Using these findings, we argue firms need to effectively communicate the need and value of CDO positions and to ensure that they do not muddle CDO and CIO responsibilities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.069
GPT teacher head0.239
Teacher spread0.169 · 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