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Record W2394964827 · doi:10.2307/20721419

The Formation and Value of IT-Enabled Resources: Antecedents and Consequences of Synergistic Relationships1

2010· article· en· W2394964827 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

VenueMIS Quarterly · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsYork University
Fundersnot available
KeywordsValue (mathematics)Knowledge managementBusinessIndustrial organizationMarketingComputer scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

This paper informs the literature on the business value of information technology by conceptualizing a path from IT assets—that is, commodity-like or off-the-shelf information technologies—to sustainable competitive advantage. This path suggests that IT assets can play a strategic role when they are combined with organizational resources to create IT-enabled resources. To the extent that relationships between IT assets and organizational resources are synergistic, the ensuing IT-enabled resources are capable of positively affecting firms’ sustainable competitive advantage via their improved strategic potential. This is an important contribution since IT-related organizational benefits have been hard to demonstrate despite attempts to study them through a variety of methods and theoretical lenses. This paper synthesizes systems theory and the resource-based view of the firm to build a unified conceptual model linking IT assets with firm-level benefits. Several propositions are derived from the model and their implications for IS research and practice are discussed.

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: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.204

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 communication0.0000.000
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 head0.014
GPT teacher head0.225
Teacher spread0.212 · 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