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Older shopper types from store image factors
Institution:1. Cardiff Business School, Cardiff University, Colum Drive, Cardiff, CF10 3EU, UK;2. Plymouth Business School, Plymouth University, Drake Circus, Plymouth, Devon, PL4 8AA, UK;3. The Business School, Bournemouth University, 89 Holdenhurst Road, Bournemouth, Dorset, BH8 8EB, UK;1. Department of Neurosurgery, Northwestern Memorial Hospital, Chicago, IL, USA;2. Department of Neurosurgery, Rush University Medical Center, 1725 W. Harrison Street, Suite 855, Chicago, IL 60612, USA;1. Department of Hematology, Lyon-Sud Hospital, Hospices Civils de Lyon, Pierre Bénite, France;2. Laboratory of Cytogenetics, Lyon-Sud Hospital, Hospices Civils de Lyon, Pierre Bénite, France;3. Laboratory of Cytology and Immunology, Lyon-Sud Hospital, Hospices Civils de Lyon, Pierre Bénite, France;4. Hematology, Trarieux Clinic, Lyon, France;1. Department of Vascular, General, and Oncologic Surgery, Memorial Copernicus Hospital, Lodz, Poland;2. Plastic, Reconstructive and Aesthetic Surgery Clinic, Medical University of Lodz, Lodz, Poland;3. Department of Cranio-Maxillofacial and Oncological Surgery, Medical University of Lodz, Lodz, Poland;4. Department of Neurology, Epileptology, and Stroke, Medical University of Lodz, Lodz, Poland;1. Agència de Salut Pública de Barcelona, Plaça Lesseps, 1 08023 Barcelona, Spain;2. CIBER de Epidemiología y Salud Pública (CIBERESP), Spain;3. Universitat Pompeu Fabra, Barcelona, Spain;4. Institute of Biomedical Research Sant Pau (IIB Sant Pau), Barcelona, Spain
Abstract:This study aims to characterise the older shopper by exploring unobserved heterogeneity within the segment and developing an older shopper typology from an empirically derived store image scale. Store attribute theory informed a two-stage research design. Firstly, a ‘pool’ of salient store attributes was identified through in-depth interviews. Scales were then developed and quantitatively tested using data collected through a household postal survey. Seven store image factors emerged, forming the basis of the typology. Five clusters were subsequently profiled using behavioural and demographic variables: Prudent neutrals, All-Round demanders, Reluctant casuals, Demanding sociables, and Affluent utilitarians. A discussion of the resultant classification's utility in terms of retail strategy, including opportunities for better targeting through adjustment of the retail offer, is presented. This study develops a store image scale that reflects the importance of store choice decisions of older shoppers, extending store image research by providing contemporary insights into the requirements of older shoppers in a changing retail environment.
Keywords:Older shoppers  Shopper typology  Grocery shopping  Store choice  Cluster analysis
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