MSME have great potential to be developed, so their activities need to be further encouraged and developed further to improve their business performance. The empowerment of MSMEs in the midst of globalization and high competition has forced MSMEs to be able to face global challenges, such as increasing product and service innovation, developing human resources and technology, and expanding the marketing area. Research on the effects of digital transformation, innovation, daytime advantage and the performance of MSMEs has been widely carried out. The inconsistency of the measurement model of the research variables has occurred until now, both inconsistencies in the number of dimensions in each variable and the differences in the dimensions of each model. This makes researchers who want to do research in this field feel like entering the wilderness of science and are hesitant to determine the right steps. By using the Systematic literature review method, this study was made to convey the results of synthesizing the various inconsistencies of the above dimensions and their consequences, so it is very important to examine the effect of digital transformation and innovation on competitive advantage to improve MSME performance. To answer the following questions; (RQ1: How to measure performance variables in SMEs); (RQ2: How to measure digital transformation variables in SMEs); (RQ3: How to measure the innovation variable in MSMEs); (RQ4: How to measure the variable of competitive advantage in SMEs). As a result, 91 publications were found to investigate thoroughly, namely articles on the effect of digital transformation on MSME performance in 2022 search for 30 articles. There are 39 articles on the influence of innovation on the performance of SMEs. There are 34 articles on the effect of competitive advantage on the performance of SMEs. There are 42 articles on the performance of MSMEs. The contribution of the results of this research in theory will provide a configuration catalog and provide direction for the development of models for future research. It is very useful for researchers and practitioners to understand the configuration conclusively. Although this study has described indicators of each measurement dimension in all variables, further research can modify or add indicators as needed, according to the strategy of each business.