4 resultados para sales

em The Scholarly Commons | School of Hotel Administration


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Like many Americans across the country, Michigan residents have faced a staggering number of foreclosures in the last few years.2 In 2009, Laura Buttazzoni was one of the many Michigan homeowners facing the dire reality that she was going to lose her home.3 After Buttazzoni’s failed attempt to sell her home, her bank initiated a sheriff’s sale in late 2009.4 After the statutory redemption period expired,5 Fannie Mae evicted Buttazzoni and relisted the home in 2011.6 Even though Buttazzoni’s home was foreclosed, sold at a sale, and relisted on the market—she was not done with the property. In June 2012, nearly three years after Buttazzoni’s eviction, Fannie Mae executed an “expungement affidavit,” which voided the 2009 sheriff’s sale and reverted the mortgage back to Buttazzoni’s name.

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Based on a two-stage analysis of a panel of data on 12 outlets of a high-end retailer for 24 months, we investigate how the level of supervisory monitoring affects retail sales productivity. In the first stage, we use Data Envelopment Analysis (DEA) to compute the relative productivity of retail outlets in using their labor and capital resources to generate store sales. In the second stage, we regress the logarithm of DEA scores on contextual variables to obtain consistent estimators of the impact of contextual variables on productivity (Banker and Natarajan in Operation Research 56:48-58, 2008). Contrary to agency theoretic prediction that supervisory monitoring leads to an increase in retail sales productivity, our empirical results indicate that the higher the level of supervisory monitoring, the lower is the retail sales productivity for high-end retail outlets.

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This paper reports on the financial impacts from the termination of a pay for performance plan for the salesforce at a retail establishment. Using monthly panel data spanning more than eight years for 15 outlets of a major retailer, this study documents that store-level sales and operating profits decrease after the incentive plan is terminated. Individual performance data are then investigated to help identify the role of effort and selection effects in explaining the documented decrease. The analysis of the individual employee sales data reveals that virtually all of the declining store level sales can be explained by selection effects.

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The October 2015 Food and Beverage Entrepreneurship Roundtable brought together over 30 food and beverage industry leaders, entrepreneurs, faculty, and students at the School of Hotel Administration at Cornell University. Discussion topics covered entrepreneurship in the food and beverage industry, including development, intrapreneurship, operational efficiency, beverage product development, and technology. The roundtable began with the presentation of a five-point framework on food and beverage venue development. The first three phases focused on the launch of a venue, including how to define the guest experience; the creation of operational functionality by strategically planning out the design, flow, and efficiency of a defined space; and development capacity. The remaining two points of the framework focused on post-opening considerations, including operating systems and culture development. Participants discussed the importance of culture in the growth of a business. They suggested that intrapreneurship needs to be fostered in the culture of an organization and in an educational curriculum for those who are preparing to enter the industry. Participants also discussed the fine balance between setting expectations for an experience and subsequently being able to maintain this experience in a fast changing environment. In particular they considered what it means to say no to customers. A discussion on the beverage industry focused on how to distribute products in a crowded marketplace. One method to ensure that the product gets into the hands of the consumers is face-to-face sales. Finally, in the technology session, the group discussed technology adoption, specifically focusing on the point at which technology detracts from the guest experience, how to minimize operational risk from technology, and how to maximize consumers’ adoption rates.