Leveraging Ai Capabilities For Business Model Innovation: Mediating Role Of Chatbot Affordances & Moderating Impact Of Big Data Analytics

Abstract

This study examines the impact of AI capabilities on business model innovation (BMI) via the mediating mechanism of chatbot affordances and the moderating influence of big data analytics capability based on Resource-Based View (RBV) theory. Data were gathered through a structured questionnaire from bank managers with access to chatbot services. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to assess the hypothesized relationships among AI competencies, chatbot affordances, big data analytics capability, and Business Model Innovation (BMI). results indicate that AI capabilities increase chatbot affordances considerably, with the latter having a positive influence on Business Model Innovation (BMI). Chatbot affordances act as mediators between AI capabilities and BMI, with big data analytics ability solidifying this relationship. Organizations must emphasize creating a strong AI infrastructure, strategic planning abilities, and an innovative, proactive approach to use chatbot technologies for strategic transformation. Increased big data analytics further maximizes these advantages. This research uses RBV theory to unearthing the manner in which intangible digital competencies (AI capabilities and chatbot affordances) become innovative business outcomes, providing digital strategy actionable insights for service sectors.

Keywords:  AI Competencies, Chatbot Affordances, Business Model Innovation, Big Data Analytics Capability and Digital Transformation.