Digitalization Review for American SMEs

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.

Authors

Publication Details

Journal
Advances in Science Technology and Engineering Systems Journal
Published
2024-08-01
DOI
https://doi.org/10.25046/aj090410
Primary Topic
Digitalization and Economic Development in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digitalization Review for American SMEs

Dharmender Salian, Raed Sbeit, Steven Brown
Advances in Science Technology and Engineering Systems Journal
Digitalization and Economic Development in Agriculture
article

Digitalization Review for American SMEs

Dharmender Salian, Raed Sbeit, Steven Brown
article en

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.

Advances in Science Technology and Engineering Systems JournalVol. 9(4)
Openalex Percentile: Top 77%
Digitalization and Economic Development in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.