Tracking sustainable Industry 4.0 for listed companies - DataSet

The DataSet contains a set of data that informs the analyses conducted for the Tracking sustainable Industry 4.0 for listed companies study. This study aims to develop a replicable methodology for diagnosing sustainable Industry 4.0 status of publicly listed companies. Employing quantitative content analysis through MAXQDA software, the authors utilized a predefined keyword set and categories with lemmatization on both annual reports and Internet news. The analysis involved companies listed on the Warsaw Stock Exchange, representing about two-thirds of the total market capitalization across various sectors. Inconsistencies in communication and Internet news were observed, influenced by company characteristics. The methodology effectively addressed research questions on the incorporation of Industry 4.0 and sustainability in company reports and online communications. However, a limitation is the absence of a qualitative perspective to elucidate underlying phenomena for potential correlations. Despite this, the methodology provides valuable signals for policymakers, aiding in positioning economies globally on Industry 4.0 and sustainability. The research demonstrates high potential for replicability and traceability, applicable to other indices for sample selection, sector analyses, market exploration, and facilitating year-to-year comparisons.