This study explores how Finnish and Swedish professionals utilize artificial intelligence (AI) in their daily workflows, highlighting differences between microenterprises and larger organizations. A total of 222 participants—112 from Sweden and 110 from Finland—responded to a survey administered from January to February 2025. The data indicates that a large portion of participants already employ AI for planning, organizing, and decision-making, with managers particularly noting AI’s benefits for strategic tasks. However, microenterprises appear to adopt AI less frequently, citing tighter resource constraints and limited training access. While both Finnish and Swedish respondents broadly request basic AI education, Finnish professionals favor practical best practice guidance, whereas Swedish respondents often seek deeper, application specific expertise. Overall, the findings underscore the need for targeted training initiatives and transparent communication on AI adoption. They further enrich the literature on AI-driven workflows by revealing distinct user preferences and recommending best practices for organizations looking to optimize efficiency through responsible AI integration.

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

Artificial Intelligence in Finnish and Swedish Workflows: A Comparative Survey of Micro- and Large-Scale Enterprises

  • Markus Aho,
  • Jukka Niittymaa,
  • Pia Heilmann,
  • George Nikolakopoulos,
  • Anton Koval,
  • Esa Hiltunen

摘要

This study explores how Finnish and Swedish professionals utilize artificial intelligence (AI) in their daily workflows, highlighting differences between microenterprises and larger organizations. A total of 222 participants—112 from Sweden and 110 from Finland—responded to a survey administered from January to February 2025. The data indicates that a large portion of participants already employ AI for planning, organizing, and decision-making, with managers particularly noting AI’s benefits for strategic tasks. However, microenterprises appear to adopt AI less frequently, citing tighter resource constraints and limited training access. While both Finnish and Swedish respondents broadly request basic AI education, Finnish professionals favor practical best practice guidance, whereas Swedish respondents often seek deeper, application specific expertise. Overall, the findings underscore the need for targeted training initiatives and transparent communication on AI adoption. They further enrich the literature on AI-driven workflows by revealing distinct user preferences and recommending best practices for organizations looking to optimize efficiency through responsible AI integration.