Impact of Computer Vision Systems on Value Proposition in Organizations

The application of automated image acquisition in combination with algorithmic image processing has the potential to produce an appropriate automatic response in every business scenario. Computer Vision Systems (CVS) can generate a similar or even more valuable response to a visual trigger than a human. Hence, there is a fundamental change driven by the implementation of these technologies. In this scope, this contribution aims to analyze the interrelationships between CVS, value proposition, and business model. For this purpose, a sequential mixed methods research approach was utilized, and a theoretical model based on the Task-Technology Fit was developed to analyze the interrelationships. As a result, relevant impact factors could be identified, which lead to the CSV affecting the value proposition and thus on the entire business model. An additional outcome represents the categorization of when business models are changed by CVS deployment and when completely new ones are formed.