Technical advancements within the subject of artificial intelligence (AI) leads towards\ndevelopment of human-like machines, able to operate autonomously and mimic our cognitive\nbehavior. The progress and interest among managers, academics and the public has created a hype\namong many industries, and many firms are investing heavily to capitalize on the technology through\nbusiness model innovation. However, managers are left with little support from academia when\naiming to implement AI in their firmâ??s operations, which leads to an increased risk of project failure\nand unwanted results. This paper aims to provide a deeper understanding of AI and how it can be used\nas a catalyst for business model innovation. Due to the increasing range and variety of the available\npublished material, a literature review has been performed to gather current knowledge within AI\nbusiness model innovation. The results are presented in a roadmap to guide the implementation\nof AI to firmâ??s operations. Our presented findings suggest four steps when implementing AI:\n(1) understand AI and organizational capabilities needed for digital transformation; (2) understand\ncurrent BM, potential for BMI, and business ecosystem role; (3) develop and refine capabilities needed\nto implement AI; and (4) reach organizational acceptance and develop internal competencies.
Loading....