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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Retail Services : Measurement and Contribution to National Income

Roy, Debanjali 24 July 2008 (has links)
Two models are developed that considers the different services provided by retail firms as an output of the retail industry besides the goods sold. The first model considers that consumers only gain utility from consuming retail goods and services and the second model considers that consumers shop for retail goods and experience a transaction cost, which is determined by the level of services. From both models a measure of retail output and value added is constructed. The models are used to answer the following question. Does the Bureau of Economic Analysis (BEA) accurately capture the value of retail services while calculating the value added of the retail sector? The models are estimated by a Generalized Method of Moments estimation technique using data for the retail industry between 1980 and 2005. The estimate of parameters from both models suggests declining market power over time and scale economies in the retail industry. The BEA measures the retail output on the basis of the gross margin which is total sales less total purchases and does not consider the value of services. We compute value added on the basis of our models. In both models, the values of retail services are included while calculating retail output. Results show that the BEA has underestimated the value added of the retail sector for all years in the study. The degree of underestimation is close in both models and it declines across time.
2

Unsupervised anomaly detection for structured data - Finding similarities between retail products

Fockstedt, Jonas, Krcic, Ema January 2021 (has links)
Data is one of the most contributing factors for modern business operations. Having bad data could therefore lead to tremendous losses, both financially and for customer experience. This thesis seeks to find anomalies in real-world, complex, structured data, causing an international enterprise to miss out on income and the potential loss of customers. By using graph theory and similarity analysis, the findings suggest that certain countries contribute to the discrepancies more than other countries. This is believed to be an effect of countries customizing their products to match the market’s needs. This thesis is just scratching the surface of the analysis of the data, and the number of opportunities for future work are therefore many.

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