No description available.

No description available.

Elderly consumers are often overlooked in the retail marketplace; however, evidence suggests that the elderly population has a considerable amount of discretionary time and purchase power. Unlike past generations, this consumer group is relatively healthy, active, and demands a wide array of products and services. The purpose of this research was to determine the relationship between store attributes and approach-avoidance behavior of elderly apparel consumers. In addition, this research examined the relationships between age, the importance of store attributes, and shopping orientations of elderly apparel consumers. Data were collected using a convenience sample of persons 65 and older from the southeastern part of the United States. The final sample consisted of 208 subjects. Four hypotheses were formulated. Data were analyzed using frequencies, chi-square, factor analysis, regression, and MANOVA. Results revealed that elderly consumers in this study preferred to shop department stores and mass merchandisers for clothing. These consumers reported that they would spend more time and money in retail stores that offered credit, discounts for those 65 and over, and liberal return policies. Further, the consumers reported they would not return to and would avoid looking around in retail stores without rest areas, with difficult to find items, inferior products, and poor business practices. Regression analyses showed significant relationships between shopping orientations and three of the five attribute factors. MANOVA revealed significant differences between two age groups and the importance placed on quality products, store reputation, and well-known labels/brands. Chi-square analyses showed no significant relationship between age and shopping orientations. / Master of Science

Thesis (MBA (Business Management))--University of Stellenbosch, 2010.

The purpose of the study was to determine the practices of a selected number of chain shoe store organizations in training management personnel for their retail shoe outlets. The data secured from these sources will also be compared with the opinions of several authorities in the field of management to determine the extent to which the practices in actual use agree with those recommended.

"The purpose of this study is to determine the extent to which Denton apparel stores have succeeded in securing student trade, and from the findings, draw some conclusions concerning improvement of relations with students which would maximize the amount of student trade obtained by these stores... according to the findings, the Denton apparel stores as a whole do not seem to be achieving their maximum potential in securing student trade...It seems that most of the stores could substantially increase the amount of trade secured by expanding their advertising and sales promotion plans, by handling line of merchandise which are most appealing to the students, and by adjusting their price lines to the ranges in which students normally buy. "-- leaves 1,63.

The problem in the warehouses is that the old and conventional methods which are obsolete are combined with very crowded conditions. Hence there is always a quest for newer and better methods. However, merely installing the newer methods does not mean that the system is effective and efficient, there is also necessity of a strong supervisory organization of the system to make the methods more effective and this also requires lot of training and managing the operations.The purpose of this thesis is to give an overview and to briefly present the concept of warehousing. Analysing the present situation in warehouses by examining four of the biggest retail warehouses in Sweden with the help of a questionnaire given to the respective warehouse managers. Comparing the present situation to the theoretical framework in order to get an idea of the strategies deployed by the businesses.The warehouses today are deploying a mixture of both latest strategies and technologies and the traditional methods in order to have a good efficiency in the warehouses.

Localization is critical to a number of wireless network applications. In many situations GPS is not suitable. This dissertation (i) develops novel localization schemes for wireless networks by explicitly incorporating mobility information and (ii) applies localization to physical analytics i.e., understanding shoppers' behavior within retail spaces by leveraging inertial sensors, Wi-Fi and vision enabled by smart glasses. More specifically, we first focus on multi-hop mobile networks, analyze real mobility traces and observe that they exhibit temporal stability and low-rank structure. Motivated by these observations, we develop novel localization algorithms to effectively capture and also adapt to different degrees of these properties. Using extensive simulations and testbed experiments, we demonstrate the accuracy and robustness of our new schemes. Second, we focus on localizing a single mobile node, which may not be connected with multiple nodes (e.g., without network connectivity or only connected with an access point). We propose trajectory-based localization using Wi-Fi or magnetic field measurements. We show that these measurements have the potential to uniquely identify a trajectory. We then develop a novel approach that leverages multi-level wavelet coefficients to first identify the trajectory and then localize to a point on the trajectory. We show that this approach is highly accurate and power efficient using indoor and outdoor experiments. Finally, localization is a critical step in enabling a lot of applications --- an important one is physical analytics. Physical analytics has the potential to provide deep-insight into shoppers' interests and activities and therefore better advertisements, recommendations and a better shopping experience. To enable physical analytics, we build ThirdEye system which first achieves zero-effort localization by leveraging emergent devices like the Google-Glass to build AutoLayout that fuses video, Wi-Fi, and inertial sensor data, to simultaneously localize the shoppers while also constructing and updating the product layout in a virtual coordinate space. Further, ThirdEye comprises of a range of schemes that use a combination of vision and inertial sensing to study mobile users' behavior while shopping, namely: walking, dwelling, gazing and reaching-out. We show the effectiveness of ThirdEye through an evaluation in two large retail stores in the United States. / text

Thesis--Universität St. Gallen, 2005. / Description based on print version record. Includes bibliographical references (p. 192-208).

Thesis (M.Hous.M.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 80-82). Also available in print.