E-Business Process Negotiation: Formal Requirements for Strategy Support
Bibliographic record
Abstract
Inter-organisational processes constructed and operated in a business-to-business e-commerce context (e-business processes) have received much focus in the recent literature on workflows. However, the problem of supporting e-business process negotiation (eBPN) remains under-explored. This paper reports on a novel investigation into this area. Though the research is still in its initial stages, significant findings can already be reported. In this paper, an analysis and formal representation of a set of electronic negotiation (e-negotiation) system requirements for the eBPN domain is documented. This contribution should eventually lead to a generic framework for more objective and efficient evaluation of e-negotiation systems, or their sub-systems, vis--vis this problem domain. The set of requirements pertains to general negotiation strategy support, as opposed to process-specific strategy support. Despite this limitation of scope, a major shortcoming in current e-negotiation systems is identified using the formalised requirements framework : the lack of a holistic approach. Also noteworthy is the use of other e-negotiation evaluation frameworks (e.g. the Montreal Taxonomy) in the derivation of the requirements set. Motivated by the above findings, further work on a new and more holistic eBPN approach called SEPNA is currently underway and this is briefly discussed here.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".