The mission statement (MS) is used by all types of organizations worldwide. It expresses environmental factors, formulates goals and targets to be achieved, selects differentiated competencies, and identifies the resources needed to carry out and assess its primary activities. Over the past forty years, research on the relationship between the MS and organizational performance has been prolific. Nevertheless, several empirical gaps remain, namely (1) small and national-based sample size; (2) a detailed look at research-innovation intensive organizations; (3) a lack of automated text mining appraisals; (4) and restricted access to previous compiled MS texts. With a view to closing these gaps, this study aims to map the MSs of private, public, and non-profit organizations worldwide. We examine two different organizational samples: a worldwide sample of research-innovation intensive institutions (n=1,955) and the firms listed in the NYSE (New York Stock Exchange) (n=1,330). We then conducted text mining techniques (i.e., semantic network analysis). Finally, we discussed the results by sector identifying the main word-clusters formed.