Digitalization Review for American SMEs

Volume 9, Issue 4, Page No 93-101, 2024

Author’s Name: Dharmender Salian, Steven Brown ², Raed Sbeit ³

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School of Computer and Information Sciences, University of the Cumberlands, Williamsburg, 40769, USA

^a)whom correspondence should be addressed. E-mail: dsalian0302@ucumberlands.edu

Adv. Sci. Technol. Eng. Syst. J. 9(4), 93-101 (2024); DOI: 10.25046/aj090410

Keywords: Industry 5.0, Big Data, Digitalization

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Abstract

SME big data maturity models will be reviewed in this study to identify systematic publications related to the subject. For SMEs to remain competitive, digitalization is essential. Due to limited resources, SMEs need to be more proactive in digitalization. Still, the benefits, such as operational efficiency, cost reduction, quality improvement, and innovative culture, make digitalization attractive and valuable to customers. In recent years, there has been an increase in the use of big data techniques in operations. The paper discusses big data applications in SMEs through the lens of a big data maturity model. This paper met two objectives. First, this paper summarizes the most commonly used maturity models in the existing literature. Second, existing Big Data maturity models have limitations. Moreover, this paper outlines key considerations for selecting a Big Data maturity model to support data-driven decisions. Based on the Big Data maturity dimensions, further work aims to develop a new Big Data maturity model.

Received: 30 April 2024, Revised: 18 July 2024, Accepted: 31 July 2024, Online: 18 August 2024

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Digitalization Review for American SMEs