Case study: company analysis Chatime / Nor Faraain Mohd Tahir … [et al.]
Notice bibliographique
Résumé
Although there are many dangers and difficulties when starting a business, Malaysia has a variety of businesses, particularly those that provide food and beverages. So, in learning this subject will learn, practice and relate the theory to a practical situation found in business by using the Business Model Canvas (BMC) in the case study. In this case study, we chose business Chatime in Kangar, Perlis. Chatime is a Taiwanese franchise launched in 2005, with over 1000 retail shops in Taiwan, Malaysia, China, India, Macau, Vietnam, Singapore, Hong Kong, Thailand, Korea, Philippines, Indonesia, Australia, Dubai, Vietnam, Canada, UK, Mexico, and the United States. However, every business must deal with challenges and problems, and Chatime is no exception. Besides that, in this case study, we explain about company analysis. Inside the company analysis is divided into nine parts. In those nine sections there are key partners, key activities, key resources, value propositions, customer relationships, channels, customer segments, cost structure and revenue streams. Furthermore, in this case study, we can see the findings and solutions about the Chatime business that need to be known and need to be improved. Chatime is a business that is less popular and less bought by the public. It is due to the lack of promotion that can attract people to buy drinks at the store compared to their competitor. Therefore, Chatime can get more collaboration and get involved in the social media marketing by associating with influencers to attract more customers. Furthermore, the Chatime product's packaging is less appealing since it appears gloomy, and the flavor of the beverages offered is less fulfilling due to the less sweet taste for certain drinks or the too sweet taste for some drinks. Other than that, the prices offered by Chatime for its drinks are a little expensive compared to their competitors. So, Chatime needs to review the cost so that the product sold can get a more reasonable price for their target customer. In addition, for the recommendation we decided to make ice mango for our product after we analysis product from Chatime. As a result, we improved our product to make it appealing for customers to purchase. The packaging for our product is one of the ideas that will be used for our ice mango. We opt to use a large plastic straw. To make it simpler for our customers to sip the drink with toppings like whipping cream, mango slices, and nata de coco, we use plastic spoon straws. Last but not least, we put topping for our drinks with three different kinds of toppings. The topping's main function is to give flavor to our drinks and to make them more appealing to consume.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».