Can data save small businesses? Benefits and challenges of data analytics adoption among small-sized retailers

Lauren Kim, Jinsu Park, Terry Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Small businesses were recently hit hard by the COVID-19 pandemic, and there has been a crucial need for them to meet changing consumer behaviour and industry trends through data analytics. The purpose of this study is to understand the status of the adoption and utilisation of data analytics among small-sized retailers. Through in-depth interviews with US small business owners in the retail industry, the findings provide an overview of data analytics implementation status among small businesses. With regard to technological factors, the advantages of data analytics utilisation were identified (ie a better understanding of customers, strategic decision making, optimisation of marketing tools and accurate sales/trends forecast). Technological difficulties in understanding data and data analytics tools appeared as challenges. With regard to organisational factors, the small size of the firm and top management support were identified to be influential factors in the data analytics adoption process. However, lack of time, training resources and human resources were identified as major organisational challenges. As for environmental factors, macroeconomic contexts such as the COVID-19 pandemic and dynamic market trends influenced small businesses to adopt data analytics. Based on the technology-organisation-environment framework, the findings contribute to SME research and become a stepping stone to deriving a new framework.
Original languageEnglish (US)
Pages (from-to)1-13
JournalApplied Marketing Analytics
Volume9
Issue number3
StatePublished - 2023

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