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Bedford, Gareth (2006). Investigating the Attractors in Off-Line and On-Line (B2C) Music Shopping. Student dissertation for The Open University module M801 MSc in Software Development Research Dissertation.
DOI: https://doi.org/10.21954/ou.ro.00016044
Abstract
The number of people worldwide who use the Internet has increased exponentially over the past few years. This has contributed to a major increase in the number of consumers who browse for products, compare prices and purchase goods from on-line stores. Consumers can move very quickly and effortlessly between channels such as mail-order, on-line and off-line stores when shopping; this makes it increasingly important for businesses with multi-channel strategies to become more aware of the consumer behaviour that takes place around any of the channels they offer. Factors that attract consumers towards a shopping channel or store can be called attractors”. Awareness about attractors can be used to enhance the competitiveness of a store and the quality of services available to consumers. On-line music stores, specifically the iTunes store, have enjoyed a huge amount of growth in recent years. This research project examines the attractors that influence consumer behaviour at the iTunes on-line store and at off-line music stores in general. The research employs a user-centred approach to elicit these attractors. The findings of this research include a catalogue of music store attractors; the attractors that are most significant are: convenience of a store (off-line attractor), the ability to find something interesting or new (e-commerce attractor), and the ability to buy single tracks(on-line attractor). The research presents some analysis of the relationships between these attractors and guidelines towards the discovery of attractors. This research goes beyond user-system interaction and usability, examining the customer experience to find that other factors besides usability are involved in attracting consumers to iTunes. It also finds that off-line consumer experiences influence on-line consumer behaviour and expectations.