{"title":"The effects of AI-human-interaction to value creation in multi-actor systems: how AI shapes digital B2B sales","authors":"Sami Rusthollkarhu, Leena Aarikka-Stenroos","doi":"10.1145/3340481.3342736","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) has been recognized to be the most disruptive technology in the next ten years. The disruptive potential of AI is based on enhanced data processing capabilities which enable broader task automation but also allows AI to change its behavior based on user input. Simultaneously with AI development new platform-based business structures have gained traction and disrupted traditional pipeline business models. Platform business models rely on digital infrastructures to connect the supply and demand. AI has great potential to enable efficient resource allocation in these kinds of systems and in that way enhance the potential of value creation. Despite this complementary condition between AI and platform-based business, no academic understanding concerning the intertwinement of AI technologies and platform structures has yet been published. This position paper introduces five research areas which help us to understand AI enhanced value creation in B2B sales platforms through technology interaction.","PeriodicalId":420102,"journal":{"name":"Proceedings of the 2nd ACM SIGSOFT International Workshop on Software-Intensive Business: Start-ups, Platforms, and Ecosystems","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd ACM SIGSOFT International Workshop on Software-Intensive Business: Start-ups, Platforms, and Ecosystems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3340481.3342736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Artificial intelligence (AI) has been recognized to be the most disruptive technology in the next ten years. The disruptive potential of AI is based on enhanced data processing capabilities which enable broader task automation but also allows AI to change its behavior based on user input. Simultaneously with AI development new platform-based business structures have gained traction and disrupted traditional pipeline business models. Platform business models rely on digital infrastructures to connect the supply and demand. AI has great potential to enable efficient resource allocation in these kinds of systems and in that way enhance the potential of value creation. Despite this complementary condition between AI and platform-based business, no academic understanding concerning the intertwinement of AI technologies and platform structures has yet been published. This position paper introduces five research areas which help us to understand AI enhanced value creation in B2B sales platforms through technology interaction.