Part of our mission at LDC is to support learning by “Sharing knowledge to create a better place to be”.
We know how hard it must be for students to find the right information, especially in moments of stress and deadlines. LDC aim to empower the future generation of retail leaders by providing full reports, data & market insights.
Below you’ll find a collection of abstracts from some of the students projects and research we have supported over the last few years.
If you would like support with an academic project, please complete the form below and we’ll get back to you.
The research offers a review of the current state of the British high street and focusses on the widely accepted use of ‘footfall’ – the presence of people, both as an indicator and a driver of high street health. It argues that the new methods of gathering footfall data now mean that footfall is possibly the most durable and powerful indicator available. It enumerates the benefits to policy-makers, identifies the weaknesses inherent in the new methods of footfall measurement and considers how they can be developed further.
Since the year 2000 the UK’s supermarket sector has been dominated by the big four supermarket chains, culminating in 71.3% of market share in 2017. Though, in recent years this dominance has been challenged by the successful market entry of the discounters. The focus of this research is to explore the impact of the discounters on the big four and premium segment, identify at who’s expense such an entry has been achieved and the significance of the economic crisis of 2008/09 on accelerating the growth of the discounters. The research shows ASDA and Tesco to be least negatively affected by the growth of the discounters, while Sainsbury’s and Morrisons are most negatively affected, in terms of store expansion.
This dissertation will look at the effects at a far more localised level, using a bottom-up, mixed method approach to observe the underlying trends of neighbourhood change.
This investigation offered an exploratory analysis of the spatial distribution of ‘footprints’ left by geo-referencing Twitter users and their potential value for retail centres. Retail related Tweets were identified and their spatial attributes examined in regards to retail centre locations.
January 8, 2018
January 8, 2018
October 30, 2017