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Introducing web mining of firm websites to explore innovation indicators using the example of management system standards

  • 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 manualTraditional 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.zeige mehrzeige weniger

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  • WebMining_27001_26.11.2019_Linkoeping.pdf
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Metadaten
Autor*innen:Mona MirtschORCiD
Koautor*innen:K. Blind
Dokumenttyp:Vortrag
Veröffentlichungsform:Präsentation
Sprache:Englisch
Jahr der Erstveröffentlichung:2019
Organisationseinheit der BAM:S Qualitätsinfrastruktur
S Qualitätsinfrastruktur / S.2 Digitalisierung der Qualitätsinfrastruktur
DDC-Klassifikation:Naturwissenschaften und Mathematik / Chemie / Analytische Chemie
Freie Schlagwörter:ISO/IEC 27001; Information security; Management System Standard; Web Mining
Themenfelder/Aktivitätsfelder der BAM:Chemie und Prozesstechnik
Veranstaltung:Collaborative research seminar series autumn 2019
Veranstaltungsort:Linköping, Schweden
Beginndatum der Veranstaltung:26.11.2019
Enddatum der Veranstaltung:26.11.2019
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:02.12.2019
Referierte Publikation:Nein
Eingeladener Vortrag:Nein
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