TY - CONF A1 - Mirtsch, Mona A1 - Blind, K. T1 - Introducing web mining of firm websites to explore innovation indicators using the example of management system standards N2 - Traditional innovation indicators often lack coverage, granularity as well as timeliness and involve high data collection costs, especially when conducted at a large scale. Based on the assumption that firms publish information about their products and services on their own websites, the Centre for European Economic Research in Mannheim (ZEW) has developed a framework to extract information from German firm websites applying Web Mining using a free-to-use web-scraping tool. Categorized as an intraorganizational procedural innovation, management system standards often lack research especially during the early stages of their diffusion mainly due to low data availability. Therefore, we introduce Web Mining to study the diffusion of the international management system standard ISO/IEC 27001 in Germany. Using the Mannheim Enterprise panel dataset, we first apply Web Mining to identify firms that refer to these and other common management system standards, followed by manual categorization. Second, we estimate a probit model to identify drivers for its implementation. Finally, we derive recommendations for policy makers. T2 - Collaborative research seminar series autumn 2019 CY - Linköping, Schweden DA - 26.11.2019 KW - Management System Standard KW - ISO/IEC 27001 KW - Information security KW - Web Mining PY - 2019 AN - OPUS4-49821 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -