Artificial intelligence in the value chain of book publishing

The book publishing industry is threatened by a shift in customer preferences and an increas-ing number of publishing options. This paper seeks to find an answer to the question of how artificial intelligence can support book publishing to protect itself against these current and future threats. The focus lies on the identification and evaluation of concrete applications of artificial intelligence. Porter’s value chain analysis was applied to the book publishing indus-try and basic concepts of artificial intelligence were analyzed and introduced. Based on these explanations 9 promising applications could be identified: content analysis, automatic lan-guage generation, automated proofreading, automated book design creation, personalized ad-vertising, propensity modeling, automated metadata creation, demand forecasting, and con-versational commerce. This work contributes to an overall understanding of the opportunities artificial intelligence offers the book publishing industry and identifies concrete applications book publishers should focus on