On the critical success factors for B2B e-marketplace
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.
Bibliographic record
Abstract
Advancement of network technology, quick growth of Internet and Internet based solutions lead many firms to apply online processes as well as electronic businesses. Internet based B2B E-C requires applying Internet and affiliated technologies for exchanging products, services and information. Implementation of business to business (B2B) requires long-term commitment of organizations. Carrying out research in this field is regarded as very important issue for recognizing effective factors on successful implementation and execution of B2B and determining current status of organization. This research deals with studying effective critical factors on successful implementation and execution of B2B. Factors are recognized through studying literature review and IT experts. Then, through case study (studying a vehicle manufacturing firm) and by using analytical network process (ANP), the importance of factor and their rank are determined. The factors that are regarded at this research are including: culture, commitment and support of senior management, government support, purposes, organizational strategies, trust, partial advantage and technical infrastructure. Results of research show that support and commitment of senior management are the highest priority factors.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.083 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it