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Record W1967934516 · doi:10.1108/10662240110402740

The influence of information ecology on e‐commerce initiatives

2001· article· en· W1967934516 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternet Research · 2001
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBusinessField (mathematics)Knowledge managementDemocracyOrganizational structureField researchEcologyMarketingEnvironmental resource managementPublic relationsManagementSociologyEconomicsComputer sciencePolitical science

Abstract

fetched live from OpenAlex

This paper explores the influence of an organization’s information ecology, or internal information environment, on a firm’s electronic commerce initiatives and plans. To investigate this problem area, results are reported from a recent case study investigation on the adoption and use of a specific e‐commerce initiative – namely a corporate portal – by 20 participants at a large Canadian company. Data collection involved semi‐structured interviews and field observations, while analysis comprised a variant form of grounded theory. Factors of the information ecology influencing portal utilization are identified. From these, implications are drawn to e‐commerce solutions in general. Specific recommendations include the need to create a democratic steering committee to oversee the development of e‐commerce solutions, gain support of upper management, and market and train organizational workers on the functionality and strategic importance of a company’s e‐commerce initiatives and plans.

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)0.004
metaresearch head score (Gemma)0.007
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.226
GPT teacher head0.504
Teacher spread0.279 · 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