Sama Holistic Skincare: a woman entrepreneur’s journey in a home-based business
Notice bibliographique
Résumé
Research methodology The information in the case study is based primarily from several interviews in 2023 with the case protagonist Samaneh Abidi, founder of Sama Holistic Care. The first author became aware of Abidi’s business through a client known to the first author, that client introduced the first author to Abidi. The case study is not disguised, and the real name of the business owner is used in the case study. Case overview/synopsis Samaneh Abidi was a woman immigrant and entrepreneur in the skincare and cosmetics business. She first started a mobile aesthetics service in response to organic demand for her services triggered by her Instagram postings and clients from former positions she held in skincare and cosmetics. The small business was also started out of necessity following the closure of the clinic where she worked during the COVID-19 pandemic. It was the first quarter of 2023, and she operated Sama Holistic Skincare out of a room in her home. As a relatively new Canadian from Iran, she attracted a clientele who were also of Iranian heritage and she created an experience for them which drew from her culture. While the demand for her services was organically growing, mainly because of her regular Instagram postings, appointments were sporadic, some days with eight clients or more, and other days with no clients. It was becoming harder for her to manage callbacks and scheduling appointments and it was starting to affect her well-being. Her financial resources were also limited and she was cautious when spending on promotion and advertising. Her unpredictable schedule left her on edge, unable to fully focus on her business, academic pursuits, or personal life. In the short term, Abidi needed to find a more efficient way to schedule her clients to balance demand and availability. In the long term, she aspired to grow revenues so she could pay herself a higher salary. Complexity academic level This case study is ideally suited for undergraduate courses in entrepreneurship. It would be best placed in a class designed to analyze start up and early-stage growth decisions and/or women’s entrepreneurship more broadly.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,016 | 0,005 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».