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Record W2271671260

A Decision Model for Configuration of Firm Boundaries in the Network Economy

2001· article· en· W2271671260 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

VenueSSRN Electronic Journal · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBusiness process reengineeringOutsourcingArtifact-centric business process modelBusinessBusiness processBusiness process modelingTransaction costBusiness ruleIndustrial organizationProcess managementBusiness transformationCorporationBusiness modelNew business developmentSunk costsProcess (computing)Computer scienceMarketingFinanceEconomicsMicroeconomicsWork in process
DOInot available

Abstract

fetched live from OpenAlex

Advances in telecommunications and E-business technologies are enabling rapidly changing firm boundaries and large-scale reorganization of business processes. Business processes consist increasingly of information that is, or can be, digitized and transmitted from and to virtually anywhere in the world. Thus, the procedural and geographical barriers to outsourcing of business processes have been substantially reduced, if not eliminated. This reengineering of the business processes is enabling the reorganization of the corporation and its business model, and may eventually help realize the virtual enterprise. However, there are barriers to proper analysis of the business process outsourcing decision. These barriers include transaction cost, opportunistic behavior (risk), and sunk costs considerations. Addressing these inherent barriers, this paper proposes a bias-free reengineering tool to aid in E-business process outsourcing decisions.

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)0.002
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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