Tracking key marketing health parameters within smaller enterprises
Bibliographic record
Abstract
This paper interfaces concepts and techniques from process control and marketing control in order to effectively monitor the marketing ‘health’ of small firms. In essence the authors attempt to apply short term time series forecasting techniques in addition to a tracking signal device to monitor key marketing parameters within small firms on a continuous or ‘on-going’ basis. The techniques used are well established although they are more usually found employed in the areas of process control and inventory control. The application of such a scheme within a small business marketing context is considered novel and somewhat experimental. The scheme discussed in this working paper is very much in the exploratory stage and much more work needs to be done to test the reliability and validity of the scheme to effectively track key marketing parameters within smaller enterprises in a variety of ‘real world’ situations and under different market conditions. If the scheme proves to have operational and practical usefulness as a monitoring device then it should be of interest to all people involved with monitoring or advising a large number of small enterprises or business units within a larger organisation. Because the research is on-going this paper presents an interim set of results and conclusions and is therefore very much a ‘working paper’ hence the appropriateness of the paper appearing in this London Metropolitan University Working Paper Series. This paper is linked to other working papers concerned with the marketing of smaller enterprises appearing in the University’s working paper series by the same authors, for example see also Reynolds PL, Day, J and Lancaster, GA, (June 2001, papers (a) and (b)). A further, updated version of this paper is likely to appear in this series in the near future as the results from future work is added to the paper and consolidated within the existing conceptual scheme. This paper is part of an on going programme of research conducted by the authors and others into the marketing appropriate for small firms in particular and small and medium sized firms (SME’s) in general. Although the working papers presented by the authors in the series so far are on different aspects of marketing they are thematic in that they are all concerned with smaller firms and on the interface between small firms, marketing and entrepreneurship.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".