Jonne Y. Guyt , Hannes Datta , Johannes Boegershausen
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引用次数: 0
Abstract
Web data collected via web scraping and application programming interfaces (APIs) has opened many new avenues for retail innovations and research opportunities. Yet, despite the abundance of online data on retailers, brands, products, and consumers, its use in retailing research remains limited. To spur the increased use of web data, we aim to achieve three goals. First, we review existing retailing applications using web data. Second, we demystify the use of web data by discussing its value in the context of existing retail data sets and to-be-constructed primary web datasets. Third, we provide a hands-on guide to help retailing researchers incorporate web data collection into their research routines. Our paper is accompanied by a mock-up digital retail store (music-to-scrape.org) that researchers and students can use to learn to collect web data using web scraping and APIs.
通过网络搜刮和应用程序接口（API）收集的网络数据为零售创新和研究机会开辟了许多新途径。然而，尽管有大量关于零售商、品牌、产品和消费者的在线数据，但这些数据在零售业研究中的应用仍然有限。为了促进网络数据的更多使用，我们旨在实现三个目标。首先，我们回顾了使用网络数据的现有零售应用。其次，我们结合现有的零售数据集和待构建的主要网络数据集，讨论网络数据的价值，从而揭开网络数据使用的神秘面纱。第三，我们提供了一份实践指南，帮助零售业研究人员将网络数据收集纳入其研究常规。我们的论文附有一个模拟数字零售商店（music-to-scrape.org），研究人员和学生可以利用该商店学习使用网络刮擦和 API 收集网络数据。
期刊介绍：
The focus of The Journal of Retailing is to advance knowledge and its practical application in the field of retailing. This includes various aspects such as retail management, evolution, and current theories. The journal covers both products and services in retail, supply chains and distribution channels that serve retailers, relationships between retailers and supply chain members, and direct marketing as well as emerging electronic markets for households. Articles published in the journal may take an economic or behavioral approach, but all are based on rigorous analysis and a deep understanding of relevant theories and existing literature. Empirical research follows the scientific method, employing modern sampling procedures and statistical analysis.
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