大数据对商店布局的感知有用性:卡拉奇有组织零售商的证据

Mehwish Jabeen, Muhammad Faisal Sultan, Muhammad Adeel Mannan
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引用次数: 2

摘要

大数据是当今用来理解行为和模式的最有用的技术之一。然而,除了它的社会效益,技术也可能被从业人员用于工业环境。零售业也被视为可能从大数据的使用中获得主要利益的行业,因此本研究有意将大数据对零售业的影响联系起来。本研究使用店铺布局作为因变量,因为它对购买的影响最大,而大数据的真正目的是分析行为和模式,因此变量的选择是合理的。然而,该技术在巴基斯坦等新兴市场并不为人所知,因此研究与配额抽样有关,并使用SMART-PLS分析结果。结果表明,大数据被认为是卡拉奇有组织的零售业运作的有力工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceived Usefulness of Big-Data for Store Layout: Evidence for Organized Retailers of Karachi
Big-Data is one of the most useful technologies available nowadays to understand behaviorsand patterns. However, in addition to its societal benefits technology might also be used bypractitioners in industrial settings. The Retail industry is also treated as the one which might receive major benefits from the use of Big-Data and therefore this study is purposively associated with implications of Big-Data for the retail sector. The Study uses store layout as the dependent variable as it has the most influence on purchase as the real purpose of Big-Data is to analyze behavior and patterns, therefore, the selection of variable is legitimate. However, the technology is not well-known in emerging markets like Pakistan therefore study is linked with quota sampling and uses SMART-PLS to analyze results. Results indicated that Big-Data was perceived as the potent tool for operations of the organized retail sector of Karachi.
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