This study aims to define factors that affect Artificial Intelligence (AI) technology introduction to network operations and analyze the relative importance of such factors. Based on this analysis of critical factors, a rational decision-making framework is suggested to promote network operations with AI technology. As affecting factors were derived based on related previous studies, the study model was designed to consist of 22 attribute factors under 6 key factors: relative advantage, compatibility, top management support, organizational readiness, competitive pressure, and cooperative relation. The questionnaire was designed and analyzed using the Delphi method and Analytics Hierarchy Process (AHP) method based on the Technology–Organization–Environment (TOE) framework. To collect data, a survey was conducted among 30 experts in network operations and AI. The importance of attribute factors was in the order of ‘goals and strategies’, ‘commitment of resources’, ‘leadership competency’, ‘financial readiness’, and ‘technology readiness’. As the importance of factors was analyzed comparatively between the demander group and provider group, organizational factors were important in the demander group. In contrast, technological factors were important in the provider group. In conclusion, there was a difference in perspectives between demanders and providers regarding adopting AI technology to network operations.

中文翻译：

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数字化转型中采用人工智能技术进行网络运营

本研究旨在定义影响人工智能（AI）技术引入网络运营的因素，并分析这些因素的相对重要性。基于对关键因素的分析，提出了合理的决策框架，以利用人工智能技术促进网络运营。由于影响因素是在以往相关研究的基础上得出的，因此研究模型被设计为由6个关键因素下的22个属性因素组成：相对优势、兼容性、高层支持、组织准备度、竞争压力和合作关系。基于技术-组织-环境（TOE）框架，采用德尔菲法和层次分析法（AHP）对问卷进行设计和分析。为了收集数据，我们对 30 名网络运营和人工智能领域的专家进行了调查。属性因素的重要性按“目标和战略”、“资源承诺”、“领导能力”、“财务准备情况”和“技术准备情况”的顺序排列。由于对需求者群体和提供者群体的因素重要性进行了比较分析，组织因素在需求者群体中很重要。相比之下，技术因素在提供商群体中很重要。综上所述，需求方和提供方对于采用人工智能技术进行网络运营的看法存在差异。