作者: H. Damavandi , N. Abdolvand , F. Karimipour
DOI: 10.1007/978-3-319-95165-2_31
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摘要: In today’s world which is subject to an increasing number of stores and level rivalry on a daily basis, decisions concerning store’s location are considered highly important. Over the years, researchers marketers have used variety different approaches for solving optimal store problem. Like many other research areas, earlier methods site selection involved use statistical data whereas recent rely rich content can be extracted from big via modern analysis techniques. this paper, we begin with assessing historical precedent most accepted applied traditional computational determining desirable place store. We proceed by discussing some technological advancements that has led advent more cutting-edge data-driven methods. Finally, extend review recent, based social network data-based approaches,