Digital marketing in SMEs via data-driven strategies: Reviewing the current state of research

被引:39
|
作者
Saura, Jose Ramon [1 ]
Palacios-Marques, Daniel [2 ]
Ribeiro-Soriano, Domingo [3 ]
机构
[1] Rey Juan Carlos Univ, Dept Business Econ, Paseo Artilleros S-N, Madrid 28032, Spain
[2] Univ Politecn Valencia, Dept Business Org, Valencia, Spain
[3] Univ Alcala, Dept Econ & Business, Alcala De Henares, Spain
关键词
SMEs; entrepreneurial marketing; data sciences; digital marketing; multiple correspondence analysis; MEDIUM-SIZED ENTERPRISES; MULTIPLE CORRESPONDENCE-ANALYSIS; SUPPLY CHAIN MANAGEMENT; SOCIAL NETWORK ANALYSIS; BIG DATA; KNOWLEDGE MANAGEMENT; TECHNOLOGY ADOPTION; SYSTEMATIC REVIEWS; CONJOINT-ANALYSIS; CRM ADOPTION;
D O I
10.1080/00472778.2021.1955127
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The development of the Internet and the implementation of traditional marketing strategies have given rise to the emergence of digital marketing strategies exploited both by SMEs and large companies. These companies combine data sciences with digital marketing strategies to sell products, generate brand awareness, or access new markets. The present study aims to understand the role and use of data science by SMEs in their online marketing performance. The research method used in this study is a systematic literature review. The data were analyzed using multiple correspondence analysis (MCA) in the programming language R. Based on the results, we identify a total of seven state-of-the-art uses of data science in digital marketing used by SMEs in their online marketing strategies that are graphically represented and analyzed. In addition, four future lines of research are proposed and discussed to understand the direction of the next steps that SMEs should take to successfully develop their digital strategies. Finally, the review concludes with a discussion of the theoretical and practical implications of our findings for further research on the influence and use of data sciences in SMEs' online marketing performance.
引用
收藏
页码:1278 / 1313
页数:36
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