Open Data Visual Analytics to Support Decisions on Physical Investments

被引:1
作者
Wasesa, Meditya [1 ]
Mashuri, M. [2 ]
Handayani, Putri [3 ]
Putro, Utomo S. [1 ]
机构
[1] Bandung Inst Technol, Sch Business & Management, Jl Ganesha 10, Bandung, Indonesia
[2] Indonesian Ctr Logist & Value Chains, Jl Sarijadi Baru III 15, Bandung, Indonesia
[3] Univ Utrecht, Water Sci & Management Masters Programme, Utrecht, Netherlands
来源
FIFTH INFORMATION SYSTEMS INTERNATIONAL CONFERENCE | 2019年 / 161卷
关键词
Open Data; Visual Analytics; Descriptive Analytics; Spatiotemporal Data; Physical Investment; BUSINESS INTELLIGENCE; DESIGN SCIENCE; CURRENT STATE; SYSTEMS;
D O I
10.1016/j.procs.2019.11.185
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Before making decisions about the location of physical investments (e.g. factories, warehouses, stores, etc.), investors have to conduct thorough profiling on the prospective locations of the physical facilities. For this profiling purpose, investors consider a number of important aspects such as the location's local resources, market size, economic growth, regional minimum wage (salary) standard, land acquisition cost, human development index, and gross domestic product (GDP). While conducting manual research on those decision variables can cost extensive time and efforts, in this article, we present an open data visual analytics which will help investors in making decisions on the prospective location of physical investments. Investors can use the web-based application to easily gather information and do a quick comparison among prospective investment locations in terms of the selected decision variables. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码:797 / 804
页数:8
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