作者
Fabian Hunke, Stefan Seebacher, Ronny Schüritz, Alexander Illi
发表日期
2017/7/24
研讨会论文
2017 IEEE 19th Conference on Business Informatics (CBI)
卷号
1
页码范围
150-157
出版商
IEEE
简介
The growing importance of data and analytics in a broad range of industries has led to an increased attention of business model literature on this matter. The question of how to capture the business potential associated with data, drives researchers to explore the impact of data and analytics on the business model concept. However, little research has been conducted on how an organization should approach to enrich its existing business model with data or, yet, to develop a completely new, data-driven business model. Our research aims to address this issue by providing a process model for data-driven business model innovation. Therefore, we conduct an extensive review of existing business model innovation processes and derive distinct requirements, taking into account both data specific and business model innovation specific characteristics. The requirements are used to assess the suitability of the identified …
引用总数
201820192020202120222023210101446
学术搜索中的文章
F Hunke, S Seebacher, R Schüritz, A Illi - 2017 IEEE 19th Conference on Business Informatics …, 2017