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Record W7132843613 · doi:10.53485/rgn.v6i3.378

Organizational strengths and weaknesses in the coffee shop industry in Canada

2023· article· W7132843613 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueREVISTA GLOBAL NEGOTIUM · 2023
Typearticle
Language
FieldBusiness, Management and Accounting
TopicEducational and Organizational Development
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsStrengths and weaknessesCoffee shopWork (physics)Plan (archaeology)Dimension (graph theory)Organizational culture

Abstract

fetched live from OpenAlex

This article aims to examine, through an analysis, the organizational strengths and weaknesses in the coffee shop industry in Canada, to this end, the research was guided by a postpositivist, qualitative, documentary approach, with bibliographic design, including literary review to know the state of the art of the categories studied, as well as the collection of information obtained from the bases and findings of Nelson, Quick, Armstrong, Roubecas, Condie. (2020), Gupta (2021), Grant (2019), Daga (2020), Martinez & El Kadi (2019) and D’Amours (2020). The findings demonstrate the strengths and weakness of Tim’s Hortons on the organizational behavior environment. This relationship categorizes the company as needs affiliation theory of the organizational environment. The company had a strong relationship with the community, and it reflected directly on the work environment, in general people liked to work there. The company believes employees perceive that they contribute input to an organization. They are involved in many Social Corporate Responsibility, including camps for the young generation and ecofriendly initiative. It was recommended in relation to the individualism dimension that Tim Hortons need to try to open the mind of their employees to offset the culture difference. It helps to understand, evaluate, and learn from their colleagues. The second recommendation now related to the long-term difference, is to create a career plan to encourage employees to think and create a long-term perspective.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.006
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.225
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it