Innovative balanced scorecard in the digital transformation management of socio-economic development of the regional cluster
The article explores the problem of determining the criteria for evaluating the digital transformation efficiency of socio-economic development of the regional cluster in the framework of the elaboration of strategic projections of the innovative Balanced Scorecard. The innovative nature of the Balanced Scorecard is substantiated through establishing the relationship between the digital transformation of information clustering flows and the quality of key performance indicators in the process of developing a strategy for managing the economic potential of the regional cluster. The possibilities of using ERP systems to identify criteria for evaluating the digital transformation efficiency of the cluster in the context of typical groups of information flows of cluster-forming enterprises’ activity are highlighted. According to nine regions of the Central Federal District of the Russian Federation for 2017-2021, a correlation analysis of the relationship between the integral value of the financial and economic potential of the regional cluster and the key components (integrated characteristics) of the digital transformation of the cluster potential is carried out for the subsequent determination of the projections of the innovative Balanced Scorecard. Using ERP systems, the factors of internal and external environment of digital transformation of cluster-forming enterprises are identified and structured within the framework of projections of the innovative Balanced Scorecard and typical groups of information cluster flows. As a scientific result of the research, on the example of cluster-forming enterprises of Ivanovo region, an integrated innovative Balanced Scorecard for evaluating the efficiency of the information cluster flows transformation and the digital transformation management model of socio-economic development of the regional cluster based on grouping and modification of key criteria and factors of strategic projections are elaborated.