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GIS Spatial Analysis: A New Approach...
~
Aboulola, Omar Ibrahim.
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GIS Spatial Analysis: A New Approach to Site Selection and Decision Making for Small Retail Facilities.
Record Type:
Electronic resources : Monograph/item
Title/Author:
GIS Spatial Analysis: A New Approach to Site Selection and Decision Making for Small Retail Facilities./
Author:
Aboulola, Omar Ibrahim.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:
187 p.
Notes:
Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Contained By:
Dissertation Abstracts International79-09B(E).
Subject:
Information technology. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10751603
ISBN:
9780355951479
GIS Spatial Analysis: A New Approach to Site Selection and Decision Making for Small Retail Facilities.
Aboulola, Omar Ibrahim.
GIS Spatial Analysis: A New Approach to Site Selection and Decision Making for Small Retail Facilities.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 187 p.
Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Thesis (Ph.D.)--The Claremont Graduate University, 2018.
Retail site selection is an important decision when locating and siting a retail business (Kuo, Chi, & Kao, 2002b). Over the years, many methods and techniques have been developed to support this process so that decision makers are better able to locate their retail business so that they can succeed and compete (Jimenez Capilla, Carrion, & Alameda-Hernandez, 2016). This paper is an intensive review of different models and techniques that have been developed over the past decades. The results of this intensive literature review found that many models are multi-criteria decision-making models while others are GIS, and still fewer are inductive reasoning research conclusions (models). It is expected that this review will help support practitioners and researchers alike whom may utilize these models and techniques. Finally, this study is an extensive review of the literature, including the key conceptual/theoretical underpinnings for the dissertation research, aimed to list all the seminal published papers that have studied spatial location suitability for the last three to four decades in one location for ease of access to address the research problem. The literature provided, while important, is dated and incomplete by today's standards. While exploring the literature, gaps in data and methods where improvements in predicting site locations could be made will be noted. Strategic planners are often challenged by difficult spatial resource allocation decisions when analyzing a successful location for a new facility. This study demonstrated that the inclusion of additional social media activity variables (e.g., Twitter or Yelp) into a model significantly improved the analytic power regarding store sales, and hence, helped identify a successful store location. The regression analysis demonstrated that the increased R2 value, resulting from the inclusion of the social media activity variables, improved upon the baseline model, and therefore helped to support strategic planners and decision makers regarding siting a new facility. Strategic planners and decision makers need a usable and simple software that simplifies and supports their spatial location decision making. They need an artifact (website) that can offer visual representations of current and proposed locations while accounting for demographic, retail location, and social media factors using a regression model to show the expected annual sales for each potential location selected. 50 users reviewed such software; the users reported favorably regarding usability and reported being satisfied with the website overall.
ISBN: 9780355951479Subjects--Topical Terms:
532993
Information technology.
GIS Spatial Analysis: A New Approach to Site Selection and Decision Making for Small Retail Facilities.
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Retail site selection is an important decision when locating and siting a retail business (Kuo, Chi, & Kao, 2002b). Over the years, many methods and techniques have been developed to support this process so that decision makers are better able to locate their retail business so that they can succeed and compete (Jimenez Capilla, Carrion, & Alameda-Hernandez, 2016). This paper is an intensive review of different models and techniques that have been developed over the past decades. The results of this intensive literature review found that many models are multi-criteria decision-making models while others are GIS, and still fewer are inductive reasoning research conclusions (models). It is expected that this review will help support practitioners and researchers alike whom may utilize these models and techniques. Finally, this study is an extensive review of the literature, including the key conceptual/theoretical underpinnings for the dissertation research, aimed to list all the seminal published papers that have studied spatial location suitability for the last three to four decades in one location for ease of access to address the research problem. The literature provided, while important, is dated and incomplete by today's standards. While exploring the literature, gaps in data and methods where improvements in predicting site locations could be made will be noted. Strategic planners are often challenged by difficult spatial resource allocation decisions when analyzing a successful location for a new facility. This study demonstrated that the inclusion of additional social media activity variables (e.g., Twitter or Yelp) into a model significantly improved the analytic power regarding store sales, and hence, helped identify a successful store location. The regression analysis demonstrated that the increased R2 value, resulting from the inclusion of the social media activity variables, improved upon the baseline model, and therefore helped to support strategic planners and decision makers regarding siting a new facility. Strategic planners and decision makers need a usable and simple software that simplifies and supports their spatial location decision making. They need an artifact (website) that can offer visual representations of current and proposed locations while accounting for demographic, retail location, and social media factors using a regression model to show the expected annual sales for each potential location selected. 50 users reviewed such software; the users reported favorably regarding usability and reported being satisfied with the website overall.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10751603
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