The Usage of Geographical Information Systems (GIS) in the Marketing Decision Making Process: A Case Study for Determining Supermarket Locations

Promoting organizers such as marketing planners frequently utilize geographical information systems to single out appropriate retail stores, setting up advertising campaigns based on regions, and target direct showcasing exercises. Geographical information systems topical maps encourage the visual evaluation of regions. A wide arrangement of elective symbolization, for example, circles, bars, or shading, can be utilized to represent quantitative geospatial data on such maps. In any case, there is little learning on which sort of symbolization is most viable for each case. In a huge scale exploratory study, the creators demonstrate that the symbolization firmly impacts choice execution. GIS-based representations encourage the evaluation of store areas and help organizers to choose the most encouraging options. The choice of the best option requires a visual streamlining which is supported by GIS topical maps. In this study, the manner in which how various GIS-based information portrayals impact advertising analyst’s decision making for online food delivery platforms is explored. The outcomes demonstrate that GIS maps are an important piece of work and that sort of guided representation impacts the initiated decision-making process. Keywords – Geographical Visualization; Food delivery platform; Online food ordering

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Role of geographical information systems in tourism decision making process: a review

Information Technology & Tourism ◽

10.1007/s40558-015-0025-0 ◽

2015 ◽

Vol 15 (2) ◽

pp. 131-179 ◽

Cited By ~ 3

Author(s):

Preetvanti Singh

Keyword(s):

Decision Making ◽

Information Systems ◽

Geographical Information Systems ◽

Geographical Information ◽

Decision Making Process

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A Comparison between Agent-Based and GIS-Based Tsunami Evacuation Simulations: A Case Study for Tofino, BC

Canadian Journal of Civil Engineering ◽

10.1139/cjce-2020-0660 ◽

2021 ◽

Author(s):

Joseph Kim ◽

Tomoyuki Takabatake ◽

Ioan NISTOR ◽

Tomoya Shibayama

Keyword(s):

Information Systems ◽

Geographical Information Systems ◽

Mortality Rates ◽

Geographical Information ◽

Evacuation Planning ◽

Loss Of Life ◽

Agent Based ◽

Agent Based Modelling ◽

Validation Tool

Soft measures such as evacuation planning are recommended to mitigate the loss of life during tsunamis. Two types of evacuation models are widely used: (1) Agent-based modelling (ABM) defines sets of rules that individual agents in a simulation follow during a simulated evacuation. (2) Geographical information systems (GIS) are more accessible to city planners, but cannot incorporate the dynamic behaviours found in ABMs. The two evacuation modelling methodologies were compared through a case study by assessing the state of evacuation preparedness and investigating potential mitigation options. The two models showed different magnitudes for mortality rates and facility demand but had similar trends. Both models agreed on the best solution to reduce the loss of life for the community. GIS may serve as a useful tool for initial investigation or as a validation tool for ABMs. ABMs are recommended for use when modelling evacuation until GIS methodologies are further developed.

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Intelligence from Space

Information and Communications Technology for Competitive Intelligence ◽

10.4018/978-1-59140-142-1.ch009 ◽

2011 ◽

pp. 194-226

Author(s):

Paul Hendriks

Keyword(s):

Decision Making ◽

Information Systems ◽

Spatial Analysis ◽

Geographical Information Systems ◽

Geographical Information ◽

Specific Class ◽

Step Procedure ◽

Decision Making Processes ◽

Projected Position ◽

Spatial Element

The spatial element, which is omnipresent in data and information relevant to organizations, is much underused in the decision-making processes within organizations. This applies also to decision-making within the domain of Competitive Intelligence. The chapter explores how the CI function may benefit from developing a spatial perspective on its domain and how building, exploring and using this perspective may be supported by a specific class of information systems designed to handle the spatial element in data: Geographical Information Systems (GIS). The chapter argues that the key element for linking GIS to CI involves the identification of situations in which spatial analysis may support organizational decision-making within the CI domain. It presents a three-step procedure for identifying how CI may recognize spatial decision problems that are useful to boost the operation of the CI function. The first step concerns identifying relevant spatial variables, for instance by analyzing economic, demographic or political trends as to their spatial implications. The second step involves using GIS for positioning the organization with respect to the identified variables (present and projected position). The third step amounts to drawing strategic conclusions from Step 2 by assessing how the competition in relationship with the own organization would be positioned along the identified spatial analysis lines.

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