Store Choice in the Emerging Indian Apparel Retail Market: an Empirical Analysis

Store Choice has been a subject of frequent research in the developed retail markets of the west. However, the retail sector in India has been largely fragmented and unorganized. However, the retail scenario in India is changing at a very brisk pace. Many international retailers entering India and many Indian retailers in the organized segment are coming up with stores all across the country, but a majority of these stores have merely transplanted western formats onto the Indian retail scene without actually evaluating the salience of various store attributes from the customer perspective. In light of this the purpose of this paper is to study the store choice criteria in the context of apparel retailing in India. Drawing from major global and Indian studies conducted in the past, this research has identified two dimensions, which in different combinations could create sustainable store choice and hence, store loyalty. These two dimensions are termed “loyalty drivers†and experience enhancersâ€.Consumer Behaviour

Store choice in the Emerging Indian apparel retail market: An empirical analysis

Store Choice has been a subject of frequent research in the developed retail markets of the west. However, the retail sector in India has been largely fragmented and unorganized. However, the retail scenario in India is changing at a very brisk pace. Many international retailers entering India and many Indian retailers in the organized segment are coming up with stores all across the western formats onto the Indian retail scene without actually evaluating the salience of various store attributes from the customer perspective. In light of this the purpose of this paper is to study the store choice criteria in the context of apparel retailing in India. Drawing from major global and Indian studies conducted in the past, this research has identified two dimensions, which in different combinations could create sustainable store choice and hence, store loyalty. These two dimensions are termed loyalty drivers and experience enhancers

Demand-Weighted Completeness Prediction for a Knowledge Base

In this paper we introduce the notion of Demand-Weighted Completeness, allowing estimation of the completeness of a knowledge base with respect to how it is used. Defining an entity by its classes, we employ usage data to predict the distribution over relations for that entity. For example, instances of person in a knowledge base may require a birth date, name and nationality to be considered complete. These predicted relation distributions enable detection of important gaps in the knowledge base, and define the required facts for unseen entities. Such characterisation of the knowledge base can also quantify how usage and completeness change over time. We demonstrate a method to measure Demand-Weighted Completeness, and show that a simple neural network model performs well at this prediction task.Comment: To appear in NAACL-HLT 201

Portal annular pancreas : a rare and overlooked anomaly

BACKGROUND: Portal annular pancreas is a rare pancreatic developmental anomaly which is often overlooked at imaging, and often diagnosed retrospectively when it is detected incidentally at the time of surgery. Although the anomaly itself is asymptomatic, it becomes important in cases where pancreatic resection/anastomosis is planned, because of varying ductal anatomy, risk of ductal injury and increased risk of postoperative pancreatic fistula formation. CASE REPORT: We present imaging findings in a case of portal annular pancreas in a 45-year-old male patient. CONCLUSIONS: Portal annular pancreas is a rare and often neglected pancreatic anomaly due to a lack of awareness of this entity. With the advent of MDCT and MRI, accurate preoperative diagnosis of this condition is possible