Scholarlink

<p>This study aims to develop an information-analytical system to generate government policy recommendations that encourage artificial intelligence adoption (AIA) in enterprises, thereby supporting sustainable business outcomes. The system comprises three successive evaluation stages: an information model for assessing the level of AIA feasibility, an information model for evaluating managers’ understanding of AIA feasibility, and a fuzzy model for determining the potential contribution of AIA to sustainable business results. Using primary data from 1,000 firms in Slovakia, the system was verified and configured, and applied to analyze the likely degree of AIA across enterprises in a selected industry and region. The insights derived enable the formulation of policy recommendations that promote AI adoption, fostering higher productivity, efficiency, and competitiveness in the national economy. The study’s originality lies in its comprehensive analytical framework, which identifies gaps in enterprise AI readiness and adoption, while creating political pressure for support schemes and mechanisms that ensure a smooth AI-driven transformation across all sectors of the country's economic life. The outcomes further contribute to the development of benchmarking tools for policymakers, supporting enterprise digital transformation, enhancing competitiveness and sustainability, and advancing progress toward specific Sustainable Development Goals.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Information-analytical system for evaluating artificial intelligence readiness and adoption in enterprises: a policy framework

  • 期刊论文

  • 发表日期：

    2026年3月4日

查看全文
  • Marinko Skare,
  • Beata Gavurova,
  • Volodymyr Polishchuk

摘要

This study aims to develop an information-analytical system to generate government policy recommendations that encourage artificial intelligence adoption (AIA) in enterprises, thereby supporting sustainable business outcomes. The system comprises three successive evaluation stages: an information model for assessing the level of AIA feasibility, an information model for evaluating managers’ understanding of AIA feasibility, and a fuzzy model for determining the potential contribution of AIA to sustainable business results. Using primary data from 1,000 firms in Slovakia, the system was verified and configured, and applied to analyze the likely degree of AIA across enterprises in a selected industry and region. The insights derived enable the formulation of policy recommendations that promote AI adoption, fostering higher productivity, efficiency, and competitiveness in the national economy. The study’s originality lies in its comprehensive analytical framework, which identifies gaps in enterprise AI readiness and adoption, while creating political pressure for support schemes and mechanisms that ensure a smooth AI-driven transformation across all sectors of the country's economic life. The outcomes further contribute to the development of benchmarking tools for policymakers, supporting enterprise digital transformation, enhancing competitiveness and sustainability, and advancing progress toward specific Sustainable Development Goals.