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Record W2049253360 · doi:10.1108/14691931011064617

Interorganizational IT investments and the value upstream relational capital

2010· article· en· W2049253360 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 Intellectual Capital · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsRelational capitalIntellectual capitalBusinessValuation (finance)Upstream (networking)Industrial organizationContext (archaeology)EconomicsMarketingAccountingFinance

Abstract

fetched live from OpenAlex

Purpose The focus of this article is upstream relational capital, the intangible value of a firm's business relations with its suppliers. The paper aims to propose and test a valuation model of an organization's upstream relational capital that incorporates the leveraging impact of IT investments. Design/methodology/approach A survey was carried out of 159 CEOs in the wireless telecommunication industry. Findings Evidence suggests that IT and non‐IT factors contribute to explain abnormal return on relational investments. Research limitations/implications This exploratory study is based on a single industry and relational capital is valued by CEO using psychometric scales. Practical implications This study shows how IT‐related information helps external investors to value a firm's upstream relationship capital and hence assess the impact of interorganizational IT investments on the firm's valuation. Originality/value These results militate for more transparency in regard to relational investments and the relational context of the firm in the management discussion section of the annual report.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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