Knowledge Management (KM) is emerging as a primordial need in the time of the Industrial revolution 4.0 when knowledge and information are a key resource for a faster innovation cycle and economic prosperity. It is a complex process including technologies involved in creating and the use of knowledge data. This empirical study analyses indicators and strategies for KM in 70 companies in the Italian region of Campania. The ultimate goal of the research is to determine whether the KM strategy affects the business parameters of companies. KM indicators are classified into five basic categories: academic education, employees ’training, storage, dissemination, and technical support. A closed-ended response questionnaire with interval and Likert scales was used to collect data. Variables for measuring KM are processed by the factor analysis technique, the maximum likelihood variant. The idea was to get strategies in the form of factor scores as a result and to analyse their essence. The impact of factor scores on company business parameters was measured through multiple regression analysis.