Managerial decision-making during the COVID-19 pandemic and its impact on the sustainability initiatives of Canadian foodservice businesses
Bibliographic record
Abstract
COVID-19 had a major impact on the Canadian foodservice sector. Like most countries, the pandemic in Canada resulted in various periods of lockdown. The pandemic placed great strain on many establishments and had a major impact on the pre-COVID-19 sustainability initiatives of the Canadian foodservice sector. The purpose of this study was to observe managerial decision-making in Canadian foodservice businesses during lockdown and reopening, focusing on the impact of those decisions on pre-COVID-19 sustainability initiatives. We linked the outcomes to the theory of decision-making by objection during times of crises. This study used semi-structured interviews over a two-month period in mid-2020 with three Canadian foodservice establishments. Our results showed that decision-making impacted the environmental sustainability initiatives in foodservice establishments by imposing a throwaway culture for food and personal protective equipment. The pandemic also impacted social and economic initiatives, created higher operation costs, a complexity of government intervention and the managing of mental health. This study showed that the COVID-19 pandemic provided an opportunity to develop theories of managerial decisions during crises and disasters that are natural, versus human-based crises, with pandemics situated between those two concepts. Future research could investigate the impact of decision-making on other initiatives within foodservice businesses.
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 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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".