Bibliographic record
Abstract
With the advancement and exponential availability of the internet, mobile phones and smart phones, there is also consequent significant development and innovative advances in the multifaceted areas of management and commerce. For example, traditional commerce has shifted to electronic commerce (E-commerce) and mobile commerce (M-commerce), traditional marketing is shifting towards digital marketing or internet marketing, including Co-opetition (Cooperation and Competition), and, accordingly, there is more emphasis on psychological and service marketing. Globalization and its development are playing a major role in various management activities and trade. Fraud, bribery and corruption are increasing and there is more emphasis on Forensic Accounting to prevent and detect these frauds. Smart phones may be turned into virtual cash registers and businesses can track sales, inventories and other data on smart phones and tablets. This free app which has attracted millions of business in the US, Canada and Japan turns a tablet or smart-phone into a sales register that can be used to process payments while tracking data on sales, handle appointments and generate information for tax. Big data and data analytics are playing a crucial role in the finance arenas and also in market research. There are major changes in corporate governance and even small and medium enterprises and family business, who each are adopting these changes. The concept of corporate social responsibility and ethics is gaining momentum and consequently there is more emphasis in businesses on business ethics and corporate social responsibility as viable incentives to improve reputation and profits. Social media will play a crucial role in various management activities including global strategies and entrepreneurship.
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 | 0.022 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.017 | 0.016 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.011 | 0.020 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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".