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    Market segmentation using Geographic Information Systems (GIS): A case study of the soft drink industry in Kenya.

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    Date
    2007
    Author
    Musyoka, S.M
    Mutyauvyu, S.M
    Kiema, J.B.K
    Karanja, F.N
    Siriba, D.N
    Type
    Article
    Language
    en
    Metadata
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    Abstract
    Purpose – To show how the analytical and visualization capabilities of geographic information systems (GIS) can enhance the communication, understanding and utility of data and information to be used in marketing planning, as compared with their conventional presentation as text and tables. Design/methodology/approach – A digital map of the study area was generated and a set of market zones. A multiple regression model for predicting sale of the product under study was then developed, taking into account sales figures from specific distribution outlets and the demographic and socio-economic characteristics of the population served by the distribution outlets in the identified market zones. Optimum routes and times between the manufacturing plant and the distribution outlets were derived. Findings – Combining geospatial methods with conventional marketing techniques enables users to visualize the spatial distribution of data in maps, complemented by various statistical graphs and diagrams. This form of presentation yields better insights into the nature of the distribution process and better understanding of the diverse markets served. Research limitations/implications – This is a single case study of the solution to a logistical question in one district of one city in an African country. The findings must therefore be applied to other contexts with due caution. Practical implications – The study nevertheless vividly demonstrates the important role that GIS can play in sales and marketing planning. Originality/value – An application of planning technology normally encountered in applications beyond the marketing discipline, readily transferable with care to more familiar situations and settings.
    URI
    http://www.emeraldinsight.com/journals.htm?articleid=1628115&show=abstract
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/54563
    Citation
    Marketing Intelligence and Planning, Volume 25, Number 6, 2007, 632-643. ISSN 0263-4503
    Publisher
    Envrironmental and Biosystems Engineering, University of Nairobi
    Collections
    • Faculty of Engineering, Built Environment & Design (FEng / FBD) [1465]

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