Modeling Stakeholder-centric Value Chain of Data to Understand Data Exchange Ecosystem

TL;DR

This paper introduces a stakeholder-centric model of the data value chain to analyze and understand the complex data exchange ecosystem, highlighting stakeholder roles, risks, and profit distribution.

Contribution

It presents a novel SVC model that captures stakeholder relationships and enables analysis of the data exchange ecosystem's structure and dynamics.

Findings

Identified key stakeholders and their roles in data exchange

Analyzed risk distribution among stakeholders

Explored profit-sharing mechanisms in data ecosystems

Abstract

In recent years, the expectation that new businesses and economic value can be created by combining/exchanging data from different fields has risen. However, value creation by data exchange involves not only data, but also technologies and a variety of stakeholders that are integrated and in competition with one another. This makes the data exchange ecosystem a challenging subject to study. In this paper, we propose a model describing the stakeholder-centric value chain (SVC) of data by focusing on the relationships among stakeholders in data businesses and discussing creative ways to use them. The SVC model enables the analysis and understanding of the structural characteristics of the data exchange ecosystem. We identified stakeholders who carry potential risk, those who play central roles in the ecosystem, and the distribution of profit among them using business models collected by the SVC.