摘要
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.
摘要译文
在每个业务情况下，将自动图像采集的应用与算法图像处理结合使用，有可能在每种业务情况下产生适当的自动响应。计算机视觉系统（CVS）可以比人类产生对视觉触发的类似甚至更有价值的响应。因此，这些技术的实施驱动了根本的变化。在此范围内，此贡献旨在分析简历，价值主张和商业模型之间的相互关系。为此，利用了一种顺序混合方法研究方法，并开发了基于任务技术拟合的理论模型来分析相互关系。结果，可以确定相关的影响因素，从而导致CSV影响价值主张，从而影响整个业务模型。一个额外的结果代表了CVS部署更改业务模型以及何时形成全新的业务模型的分类。
Sebastian Trinks[1]. Impact of Computer Vision Systems on Value Proposition in Organizations[C]//2023 IEEE 25th Conference on Business Informatics (CBI), Prague, Czech Republic, 21-23 June 2023, CZ: IEEE, 2023: 1-9