東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

GIS Spatial Analysis: A New Approach...

Aboulola, Omar Ibrahim.

FindBook

Google Book

Amazon

博客來

GIS Spatial Analysis: A New Approach to Site Selection and Decision Making for Small Retail Facilities.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	GIS Spatial Analysis: A New Approach to Site Selection and Decision Making for Small Retail Facilities./
作者:	Aboulola, Omar Ibrahim.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	187 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Contained By:	Dissertation Abstracts International79-09B(E).
標題:	Information technology. -
電子資源:	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.
LDR:03635nmm a2200325 4500 001 2203157
005 20190528072650.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780355951479
035 $a (MiAaPQ)AAI10751603
035 $a (MiAaPQ)cgu:11186
035 $a AAI10751603
040 $a MiAaPQ $c MiAaPQ
100 1 $a Aboulola, Omar Ibrahim. $3 3429948
245 1 0 $a GIS Spatial Analysis: A New Approach to Site Selection and Decision Making for Small Retail Facilities.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 187 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
500 $a Adviser: Brian Hilton.
502 $a Thesis (Ph.D.)--The Claremont Graduate University, 2018.
520 $a 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.
590 $a School code: 0047.
650 4 $a Information technology. $3 532993
650 4 $a Geography. $3 524010
650 4 $a Business education. $3 543396
650 4 $a Geographic information science and geodesy. $3 2122917
690 $a 0489
690 $a 0366
690 $a 0688
690 $a 0370
710 2 $a The Claremont Graduate University. $b School of Information Systems and Technology. $3 1680801
773 0 $t Dissertation Abstracts International $g 79-09B(E).
790 $a 0047
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10751603