Non-predictive decision-making, market-oriented behaviours, and smaller-sized firms’ performance
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
Owner-managers of smaller-sized businesses often possess limited resources/capabilities affecting their ability to pursue opportunities. Earlier research supports the need to be market-oriented, but such practices can sometimes be time-consuming and expensive. Although owner-managers in the tourism/hospitality industry can estimate broad demand associated with seasonality, they nonetheless face a degree of uncertainty. In fact, they can typically never be sure how many customers will enter their respective businesses on any given day no matter how much they try to anticipate market trends; therefore, predictive decision-making is often ineffective. This study employs a quantitative research design, drawing on data from a survey of 184 smaller-sized firms within the tourism/hospitality industry in New Zealand. The findings contribute to the cross-disciplinary literature positioned at the strategic marketing/entrepreneurship interface. Specifically, unique insights utilising an effectuation lens, illustrate that if managed effectively, decision-makers’ non-predictive effectual logic facilitates market-oriented behaviour, which in turn, enhances firm performance.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it