Less trust, more truth: Implications and design choices for business models and platform ecosystems in the age of Web3

IF 13.3 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2025-02-01 DOI:10.1016/j.techfore.2024.123810

Kilian Schmück , Magnus Schückes , Tobias Gutmann , Oliver Gassmann

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引用次数: 0

Abstract

Business model literature, while insightful, primarily focuses on the Internet and Web 2.0 contexts. The emergence of pioneering digital technologies, especially the Web3 anchored by blockchain, necessitates reevaluating business model paradigms, particularly those of platform business models within related ecosystems. This study delves into blockchain's unique affordances, investigating how they mold novel Web3 business model patterns and integrate into specific platform ecosystems. We scrutinize the characteristics, trajectories, and synergies of value creation and capture. Using a mixed-methods approach involving 171 interviews and a subsequent sample of 126 Web3 ventures, we delineate a taxonomy of Web3 business model dimensions, clustering emergent decentralized platform ecosystems into pertinent archetypes. Our theoretical model delineates how blockchain affordances influence these configurations, emphasizing the dynamic between a platform's nucleus and its fringes. We highlight Web3 platform design choices leaning towards data sovereignty, emphasizing how the degree of blockchain integration within platform governance—leading to information symmetry and platform disintermediation—transitions digital trust to what we term as digital truth.

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少一点信任，多一点真相：Web3时代商业模式和平台生态系统的启示和设计选择

商业模式文献虽然很有见地，但主要集中在Internet和Web 2.0上下文中。开创性数字技术的出现，尤其是b区块链所支撑的Web3，需要重新评估商业模式范式，特别是相关生态系统中的平台商业模式。本研究深入探讨b区块链的独特功能，研究它们如何塑造新颖的Web3商业模式模式并集成到特定的平台生态系统中。我们仔细研究了价值创造和获取的特征、轨迹和协同作用。通过171个访谈和126个Web3企业样本的混合方法，我们描绘了Web3商业模式维度的分类，将新兴的分散平台生态系统聚类到相关的原型中。我们的理论模型描述了区块链的能力如何影响这些结构，强调了平台核心和边缘之间的动态。我们强调Web3平台的设计选择倾向于数据主权，强调平台治理中的bb0集成程度（导致信息对称和平台非中介）如何将数字信任转变为我们所说的数字真相。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

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