Review of Digitalization using Big Data Maturity Models: The Case of American Automotive SMEs

A systematic review of studies related to big data maturity models in manufacturing is the goal of this study. To retain a competitive advantage, reduce operational expenses, and compete with larger companies in their respective markets, small and medium enterprises (SMEs) must embrace digitalization. The impact of big data on manufacturing has been significant globally. Despite the lack of foresight among American automotive SMEs regarding digitalization, benefits such as improved workflow, efficiencies, and reduced overheads are making it useful and invaluable to customers. The big data maturity model is used in this paper to assess the state of big data applications among American automotive SMEs. This paper reviewed the existing literature to achieve two objectives. First, this paper evaluates the existing literature to identify the existing Big Data Maturity Models, and then summarizes the most frequently used models. Second, to emphasize the limitations of existing Big Data maturity models.