The webAI Standards Agent has been trained by ISTARI.AI to search companies’ websites for standards and certifications. These are standards from the International Organization for Standardization (ISO), the International Electrotechnical Commission (IEC) and national standardization organizations such as the German Institute for Standardization (DIN). Well-known and widely used standards include paper formats (ISO 216, DIN 476) such as DIN A4, the quality management standards of the ISO 9000 family (e.g. ISO 9001) or the information security management standard ISO/IEC 27001.
Our webAI reads the website of the company under investigation and searches it for mentions of ISO, IEC and standards issued by other organizations. For this purpose, webAI examines the entire company website, or the particularly relevant “top-level” sub-webpages if the website is very large and contains hundreds of sub-webpages (for more information, see the publication: Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study). WebAI thus finds a certain number of standard mentions per company website and returns them as a list (e.g. [DIN EN ISO 9001, DIN EN ISO 50001, ISO 9001:2…]).
From the lists of found standards generated by the webAI Standards Agent, specific standards (e.g. “ISO 9001:2000”) can be determined as well as the number of mentions of a specific standard (e.g. “‘DIN EN 16247-1’: 68, ‘DIN EN ISO 50001’: 34”).
As an example for the DACH region (Germany, Austria, Switzerland), it can be said that about 10% of the companies surveyed mention at least one standard on their website. On average, these companies mention one standard 8.7 times (median 2.0) and different standards 2.6 times (median 1.0). The most frequently listed standards in the DACH region are, by a wide margin, ISO 9001, followed by ISO 14001 and ISO 27001.
It is important to note here that our approach does not differentiate whether companies are actually certified or name a standard for other reasons (e.g., because they work with certified companies). Specifically for the ISO/IEC 27001 standard, a detailed manual review (for more information, see the publication: Exploring the Adoption of the International Information Security Management System Standard ISO/IEC 27001: A Web Mining-Based Analysis) of webAI identified companies yielded the following result regarding the reason for citation:
Like all of our webAI agents, the webAI Delivery Delay Agent has been developed and validated in conjunction with independent subject matter experts. This ensures that we train the webAI agent with real expert knowledge and that it then generates expert-level results. For this agent, ISTARI.AI collaborated with researchers from the Technical University of Berlin. Among other things, the generated data was used for the study Exploring the Adoption of the International Information Security Management System Standard ISO/IEC 27001: A Web Mining-Based Analysis, which was published in the journal IEEE Transactions on Engineering Management.
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