Incorporating big data within retail organizations: A case study approach

被引:39
作者
Aversa, Joseph [1 ]
Hernandez, Tony [1 ]
Doherty, Sean [2 ]
机构
[1] Ryerson Univ, Sch Retail Management, Toronto, ON M5B 2K3, Canada
[2] Wilfrid Laurier Univ, Dept Geog & Environm Studies, 75 Univ Ave, West Waterloo, ON, Canada
关键词
Retail location decision-making; Big data analytics; Location analytics; QUALITATIVE RESEARCH; MOBILITY PATTERNS; DECISION-MAKING; ANALYTICS; INSIGHTS; CHALLENGES; CONSUMERS; PURCHASE; BANKING; PATH;
D O I
10.1016/j.jretconser.2021.102447
中图分类号
F [经济];
学科分类号
02 ;
摘要
The rapid growth in consumer-generated Big Data that are mostly sourced from various types of mobile devices and sensor technologies has placed increasing competitive pressure on retailers to leverage such data within their location decision-making practices. This paper examines the incorporation of Big Data within retail organizations. Through the analysis of three in-depth case-studies of major retail-related organizations operating in Canada, this research addresses the following two inter-related objectives: (i) to identify the awareness, availability, and development of Big Data environments; and, (ii) to explore the opportunities and challenges associated with new Big Data-based decision support systems within retail organizations. The characteristics of an ideal data environment for Big Data adoption and development to take place are identified. The key findings reveal that while there was general awareness of the importance of Big Data, it was evident that the adoption and development of Big Data decision support was heavily reliant on a data environment that promotes transparency and a clear corporate data strategy.
引用
收藏
页数:9
相关论文
共 75 条
[1]   Beyond the random location of shopping malls: A GIS perspective in Amman, Jordan [J].
Abu ELSamen, Amjad Ahmad ;
Hiyasat, Rund Ibrahim .
JOURNAL OF RETAILING AND CONSUMER SERVICES, 2017, 34 :30-37
[2]   A quantitative performance management framework for assessing omnichannel retail supply chains [J].
Adivar, Burcu ;
Huseyinoglu, Isik Ozge Yumurtaci ;
Christopher, Martin .
JOURNAL OF RETAILING AND CONSUMER SERVICES, 2019, 48 :257-269
[3]   Big data initiatives in retail environments: Linking service process perceptions to shopping outcomes [J].
Aloysius, John A. ;
Hoehle, Hartmut ;
Goodarzi, Soheil ;
Venkatesh, Viswanath .
ANNALS OF OPERATIONS RESEARCH, 2018, 270 (1-2) :25-51
[4]  
[Anonymous], 1990, Qualitative Evaluation and Research Methods
[5]  
[Anonymous], 2011, McKinsey Quarterly
[6]  
[Anonymous], 2008, WIRED MAGAZINE
[7]   Measuring social media influencer index- insights from facebook, Twitter and Instagram [J].
Arora, Anuja ;
Bansal, Shivam ;
Kandpal, Chandrashekhar ;
Aswani, Reema ;
Dwivedi, Yogesh .
JOURNAL OF RETAILING AND CONSUMER SERVICES, 2019, 49 :86-101
[8]  
Aversa J., 2020, REGIONAL INTELLIGENC, P205
[9]  
Aversa J., 2018, PAPERS APPL GEOGRAPH, V4, P390
[10]   Models and Practices in Urban Data Science at Scale [J].
Balduini, Marco ;
Brambilla, Marco ;
Della Valle, Emanuele ;
Marazzi, Christian ;
Arabghalizi, Tahereh ;
Randari, Behnam ;
Vescovi, Michele .
BIG DATA RESEARCH, 2019, 17 :66-84