UNLV Chamber Orchestra

Program listing performers and works performed

Retail Returns: Turning cost into profit at a UK 3PL

Returns can be a costly process compared to forward logistics due to the increased complexity of handling returned items that arrive at a returns centre in a random order in batch sizes of one. In order to recover value from returned items, it is necessary to undertake additional activities, from inspections through to preparation for re-sale. This case study looks at a UK-based 3PL and the value-adding activities that it has implemented to improve the efficiency and minimise costs of managing returns with four of its clients. Over an 18-month period the authors worked with Prolog Fulfilment Ltd to identify financial efficiencies, sustainability improvements and general changes to working practices. A reverse logistics toolkit was applied across the four clients to help determine new and innovative ways of processing returns. The paper applies a returned items classification continuum to demonstrate how improving processes can move products up the continuum and hence recover more value. The case study illustrates how returns management services can both add value for retailers and improve the reusability and recyclability of returned products and their component parts, thus reducing the amount of product going to landfill

Modelling customer satisafaction in service industries.

This research considers a Customer Satisfaction Index approach and its relative benefits to the UK community. It is focussed on the service industries in both the public and private sectors. It looks at, and develops the measuring and modelling processes involved and employs a Structural Equation Modelling (SEM) methodology. The research critiques two of the leading methodologies currently available (Maximum Likelihood and Fixed Point Estimation) before selecting one from which to model the whole process. Throughout the research, three different structural models are considered. These vary in how the different latent variables are connected together, but are based around a core of specific latent variables, which together make up a customer's total buying experience. Two of the models considered were by other authors, while the third (Sheffield Model) was a direct development of this research. The data has been collected by the means of a questionnaire. Over the life of the research a generic questionnaire has been developed to produce a tool that is focused on the specific issues that the model requires for it to operate. The final part of the research contemplates how a company can use the results of the index to pin point where improvements in their customer service provision would have the largest impact on their overall customer satisfaction index score. The research considers the different aspects of customer satisfaction and their place within a Total Quality Management approach. However, the index is a completely self-contained product, which allows any company to measure how well it is satisfying its customers. The index calculates an index score between one and one hundred. The ultimate aim of the index is for a company's score to be compared over time, against other companies within the same industry, against other companies from other industries, against the national average and even against company's throughout Europe and the World, as National Indices operate overseas. In fact, it is envisaged that the index will act as a way for individual companies to benchmark themselves against the best customer service companies in the world.It is hoped that over time the customer satisfaction index can become a key indicator as to the state of the UK economy. After all, satisfied customers are very often loyal customers, they tend to buy more, more often, and satisfied customers are often willing to pay premium prices for a company's products (Kristensen & Martensen, 1996)

Junior Recital

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Online retail returns management: Integration within an omni-channel distribution context

Online retail returns management: Integration within an omni-channel distribution context Purpose With the rapid growth of consumer sales being fulfilled through omni-channel retailing, this paper explores the subsequent impact on the levels of consumer retail returns experienced through online sales and the emergent returns management strategies being affected by retailers in relation to network configuration and returns management processes. Design/methodology/approach We use a mixed methods approach from an interpretive perspective. It is appropriate to describe our approach in terms of convergent design, since we have collected both qualitative and quantitative data. Findings Return rates for online retailing can be double those for stores, while return levels for ‘considered purchases’ remain similar. Our findings suggest that omni-channel returns management has yet to fully mature and we find challenges for network design and returns processes in offering a seamless solution. Research implications For practitioners we identify a number of challenges and offer insights to improve performance in returns management process, while for academic colleagues we propose a number of avenues for further research both in the qualitative and quantitative fields. Originality/value While a significant body of extant literature exists, in researching the generalized retail returns management process this paper make a contribution by addressing the emergent managerial implications of omni-channel retail returns. Keywords: retail, reverse logistics, multi-channel, omni-channel, product returns, performanc

Junior Recital

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Master\u27s Recital

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Doctoral Recital

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Convocation

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