A study for location of store-based retail in urban areas : a case study of Apparel market areas in Kanpur
Notice bibliographique
Résumé
Since the last quarter of 20th century, Globalization emerged as an important phenomenon across the world because of its exponential growth and taking over many countries. It calls for trade of products and services from any part of world to another part in a smooth way. This provides investors an opportunity to invest in new emerging markets and economies. Retail is one of the biggest investment sector showing immense potential. For a systematic investment and recovery framework, it needs to be organized. Organized retail can also be categorized into various types in which store-based retail pops out as a major one. It is globally accepted that Indian markets has a huge potential for investment because of its unique demographic profile of nearly 1.3 billion people. Earlier Indian economy was closed and due to lack of huge investment opportunities, Indian markets were led by informal/unorganized sector. Indian economic reforms took place on 1991 which opened paths for investment opportunities in India. With over 92 percent of the business coming from unorganized sector, Indian retail sector offers immense potential for growth and consolidation. The revenue generation from organized retail was INR 0.9 trillion (USD15.5 Billion) in 2009, INR 2.4trillion (USD41.4 billion) in 2012, and is expected to continuously growing at an impressive rate to a projected INR 5.5 trillion (USD94.8billion) by 2019. (KPMG, 2014) Indian economy is drastically changed from the era of economic reforms which took place more than 25 years ago. There are many demand and supply factors which are presently leading the direction of Indian markets. But the success of a retail store cannot be completely articulated from these factors. From various decades of studies, it is found that location is the most important factor for articulating the success or failure of a retail store. A store’s location is one of the most important decisions a retailer must make, as it typically involves substantial financial outlay and long-term commitment. Location is a major cost factor- It involves large capital investment. It affects transportation cost.A study for location of store-based retail in urban areas: A case study of Apparel market areas in Kanpur ii It affects Human resource cost. Location is a major revenue factor- The volume of business depends on location. A prime location gives advantage over Competitors. It effects the consumers’ traffic. In previous years, a growing interest can be seen among the academic world and the private organizations for using GIS techniques in the investigation and planning of retail stores network. Almost all the various retail establishments have felt the need to plan for approaching consumer markets and compete with established competitions.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 tête enseignante, 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 ».