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<https://discovery.ucl.ac.uk/id/eprint/10197660> <http://purl.org/ontology/bibo/abstract> "The overarching goal of this thesis is to evaluate the efficacy of consumer panels\r\nas an alternative data source for comprehending, profiling, and modelling the British\r\nFast Moving Consumer Goods (FMCG) and Food On The Go (FOTG) markets. This\r\nresearch benefits from a collaboration with Kantar WorldPanel, utilising large-scale\r\nconsumer panels designed to gather transaction data from nationally representative\r\nhouseholds across Great Britain. The contributions of the presented work are at\r\nthree levels. First, an in-depth analysis is carried out concerning the characteristics,\r\nrepresentativeness, and completeness of the provided datasets, critically outlining\r\ntheir utilities for data linkage with additional demand-side data from the addi-\r\ntional individual demographics panel and supply-side data Secondly, a contrast set\r\nmining model is developed to reveal insights into product-channel relationships\r\nin conjunction with regional and geodemographics groups. This process enables\r\nthe detection of significant behavioural traits among population subgroups while\r\nproviding further evidence how households moderate their product choices based\r\non their retail alternatives and normative spatial patterns. Finally, the complexities\r\nunderpinning grocery retailing are integrated and validated through the construction\r\nof a disaggregated Huff model. This model facilitates the understanding of store\r\npatronage decisions and their corresponding mobility patterns on a national scale.\r\nThe conjunction of a large-scale geocoded consumer panel and disaggregated Huff\r\nmodels hold significant potential for modelling interactions between households\r\nand their surrounding retail establishments. It also underscores the theoretical jus-\r\ntification and extension for the development of retail gravity models at smaller\r\narea levels. Overall, the thesis aims to provide a robust evaluation of the benefits\r\nand limitations of utilising consumer panels for empirical social and geographic\r\napplications, and the methodological implications thereof."^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10197660> <http://purl.org/dc/terms/date> "2024-09-28" .
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