Security of E-Procurement Transactions in Supply Chain Reengineering
Bibliographic record
Abstract
With the rapid rise of Business to Business (B2B) transactions over the internet and the increasing use of e-procurement solutions by large organizations for purchasing, there is a need to reengineer current legacy supply chain management systems in order to integrate them with modern e-procurement systems. Although there is a great deal of research in the area of integration with e-procurement systems, there is little attention for security aspect of this integration that responds to the need for accurate and secure information exchange has become essential to doing business. Security is a consistent and growing problem for e-commerce and procurement solutions. As the number and frequency of security violations continues to rise, there is a corresponding dependence on information technology to drive business value, which in turn increases the importance and criticality of transaction data. The result is an increasing demand for secure e-procurement transactions to ensure the confidentiality, integrity and availability of data. Secure transactions are essential if organizations are to fully realize the benefits of e-procurement which include increased productivity, lower purchasing pricing, streamlined processes, reduced order fulfillment time and greater budgetary control; all of which can contribute to increasing an organization’s competitive advantage. This research is a case study which evaluates the security of transactions for the integration of an e-procurement solution in a large organization. It addresses both business and technological issues by examining the current threat model, security policies, system architecture, and security controls that have been implemented to ensure data integrity and confidentiality. Finally, a new model will be proposed for reengineering projects that require the integration of e-procurement systems which includes recommendations for improvements that will be benchmarked against common security designed principles.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".