Impact of Innovative Technologies on Business Ecosystems

Technological innovations have always been catalysts for social change – but never before have business ecosystems been so visibly at the center of attention. Whether we are making contactless payments, consulting chatbots or entering virtual worlds – often, business ecosystems are based on platforms, which are an important part of orchestrating value creation. Platforms are purpose-built organizational and transactional infrastructures of business ecosystems.
A change in key technological foundations often has an impact on how the business models of business ecosystems change via the platform. The Internet of Things, artificial intelligence, distributed ledger technology and the emerging metaverse act as turbochargers – they not only connect objects, but also markets, communities and entire business models. In the following blog post, Stefanie Auge-Dickhut outlines some thoughts on the impact of innovative technologies and data on the technological basis of business ecosystems.

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Data strategy in connected business models

From 2019 to 2024, the global volume of digital data generated or replicated annually almost quadrupled – a trend expected to persist (Tenzer, 2024). Technology companies are demonstrating how data is being used to generate revenue that often dwarfs physical assets. Neglecting data can put companies at a significant disad-vantage in the future, leaving them behind data-driven competitors. However, many companies do not utilize the majority of their data and face issues such as data breaches and data silos (DalleMule & Davenport, 2017). The key is to develop and implement data strategies. This blog post presents a categorization for data strategies and their relevance for digital companies and banks in particular.

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Overview: Data value creation in companies

For a long time, everyone was talking about data. “The world’s most valuable resource is no longer oil, but data” (The Economist, 2017) was the ubiquitous mantra. However, advances in the field of artificial intelligence (AI) are currently dominating the media, driven in particular by generative AI such as ChatGPT, DALL-E and the like, which can create new content such as text, images or speech. These generated data instances are in turn created with the help of technology on the basis of enormous data sets (Touati, 2024). Accordingly, it is becoming increasingly relevant for companies today and in the future to deal with the topic of “data” as the basis for value-adding activities. The Competence Center (CC) Ecosystems of the Business Engineering Institute St.Gallen develops solutions for relevant practical problems and addresses, among other things, the use of data as a key role for business success in dynamic environments. This blog post provides an introduction to the research in the field of data value creation for companies at the CC ecosystems.

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Service Design in Business Ecosystems: How you can use the service blueprint in the context of business ecosystems and the relation to my research.

As part of his research at the Competence Center Ecosystems, Dennis Vetterling is developing artefacts for the conceptualization of value capture for organizations in business ecosystems. The objective is to provide managers with the basis for in-formed decisions in the context of value capture in business ecosystems. In this blog post, he introduces the service blueprint as a modeling framework for handling the topic of business ecosystems in his research and provides further thought fragments for their analysis.

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