The Why and What of AI Deployment and Innovation in Companies – Results and Learnings from a Systematic Literature Research

These appendices are made available online as a critical part of the research paper accepted for publication at ISPIM 2024 in Tallinn on 10-12June 2024.

Abstract: Despite vast and growing investments in Artificial Intelligence, only a tiny fraction of companies report achieving tangible results. To fill this gap and establish a baseline for companies, we conducted Systematic Literature Research on the status of AI deployment in companies. We analyzed and synthesized 99 peer-reviewed articles for objectives, approaches, results, and learnings. This research confirms that AI is still at the pre-deployment stage in companies. Developing the capability to deploy AI is more challenging and takes more time, concerted effort, innovation, and learning than generally thought. Through the results and the conceptual framework, this research increases understanding of AI deployment and emphasizes the importance of the pre-deployment stages from theoretical and practical viewpoints. The Sensing stage of the dynamic capabilities theory aligns well with the developed pre-deployment stages. More real-life case research is needed, and existing theories verified to deploy AI knowledgeably for business and stakeholder benefits.