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B2B Applications to Support Business Transactions

2002· book-chapter· en· W2503267554 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

VenueIGI Global eBooks · 2002
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMultitudePurchasingThe InternetComputer scienceSet (abstract data type)Electronic data interchangeBusinessMarketingWorld Wide Web

Abstract

fetched live from OpenAlex

The use of Internet and Web technologies between organizations has gained much attention in recent years. Termed business-to-business (B2B) electronic commerce, the linking and integration of inter-organizational business processes and systems promises cost and time savings, as well as new business opportunities. The many examples of B2B applications cover a broad range of sales and purchasing processes, business models, industries, and products and services. Complexity ranges from simple message switchboards to sophisticated marketplaces handling a multitude of real-time transactions, integrated closely with the backend systems of the participants. Using information technology (IT) to connect organizations is by no means a new phenomenon, but reaches back several decades to include electronic data interchange (EDI) systems and remote terminal applications. Still, systems based on Internet standards seem to be easier to set up technically and cheaper to interconnect. They might thus reach wider adoption and acceptance than many of the earlier initiatives, and as a result give smaller players a realistic opportunity to join in and reap benefits similar to their larger partners.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.005

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 head0.029
GPT teacher head0.238
Teacher spread0.209 · 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