Market Power and Digital Business Ecosystems: Assessing the Impact of Economic and Business Complexity on Competition Analysis and Remedies

Diana L. Moss, Gregory T. Gundlach, Riley T. Krotz
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引用次数: 2

Abstract

“Digital business ecosystems” (DBEs) reflect the culmination of progressive changes in business models and organizational structure over the last 40 years. The ubiquity of many large DBEs in our economy, society, and political system is troubling, as is their significant market power, which is the subject of competition investigations in the U.S. and abroad. But the DBE business model, which far surpasses other models and structures in its scope, scale, and complexity, remains largely under-analyzed. DBEs feature unique economic, technological, and business characteristics that increase their opacity to consumers, competition enforcers, and lawmakers. These include information as the currency of exchange and a range of market failures such as positive network effects, information asymmetries around user data and privacy, and data externalities. As the “engine” of commerce and growth in DBEs, cloud computing technology adds further complexity to the analysis of market power. This is particularly true of data analytics, supported by artificial intelligence (AI) and machine learning, which powers the DBE “value proposition” of maximizing user engagement and monetizing user data.

This report examines the unique characteristics of DBEs and assesses their implications for competition enforcement and policy. This analysis raises numerous questions around the adequacy of conventional competition analysis in evaluating market power concerns. The widening gap between the complexity and growth of DBEs—and the likely inadequacy of policy responses to the market power problems they raise—elevates the importance of such questions. However, they cannot be answered by relying solely on a legal-economic framework. We therefore adopt a multidisciplinary approach, incorporating economics, law, and business theory and research in our analysis. Not surprisingly, it reveals important caveats and cautions regarding the application of conventional competition analysis to DBEs, with implications for how competition enforcers and legislators assess market power and design remedies, particularly in the merger and monopolization contexts.

The report begins with the evolution of the DBE business model and its rapid and expansive growth. We then turn to an analysis of the major structural and behavioral features of DBEs. Next are implications for competition analysis, such as how markets are defined, how market power is exercised, and remedies. The final section concludes with recommendations. As public and private antitrust cases against large DBEs mount, the U.S. Department of Justice (DOJ), Federal Trade Commission (FTC), state Attorneys General, and courts will continue to grapple with their unique features. This report provides important analysis, insights, and recommendations for enforcers and policymakers as they explore the full complement of tools available to rein in the market power of DBEs.
市场力量和数字商业生态系统:评估经济和商业复杂性对竞争分析和补救的影响
“数字商业生态系统”(DBEs)反映了过去40年来商业模式和组织结构渐进式变化的高潮。在我们的经济、社会和政治体系中无处不在的许多大型银行令人不安,它们巨大的市场力量也令人不安,这是美国和国外竞争调查的主题。但是,在范围、规模和复杂性方面远远超过其他模型和结构的DBE业务模型在很大程度上仍然没有得到充分的分析。dbe具有独特的经济、技术和商业特征,这增加了它们对消费者、竞争执法者和立法者的不透明性。其中包括作为交换货币的信息和一系列市场失灵,如积极的网络效应、围绕用户数据和隐私的信息不对称以及数据外部性。作为商业和数据中心增长的“引擎”,云计算技术进一步增加了市场力量分析的复杂性。在人工智能(AI)和机器学习的支持下,数据分析尤其如此,这为DBE的“价值主张”提供了动力,即最大限度地提高用户参与度并将用户数据货币化。本报告探讨了DBEs的独特特征,并评估了它们对竞争执法和政策的影响。这一分析提出了许多关于传统竞争分析在评估市场力量方面是否足够的问题。dbes的复杂性和增长之间日益扩大的差距,以及对它们所引发的市场力量问题的政策反应可能不足,提升了这些问题的重要性。然而,仅仅依靠法律经济框架是无法解决这些问题的。因此,我们采用多学科方法,将经济、法律和商业理论与研究纳入我们的分析。毫不奇怪,它揭示了关于将传统竞争分析应用于dbe的重要警告和警告,对竞争执法者和立法者如何评估市场力量和设计补救措施,特别是在合并和垄断背景下的影响。该报告首先介绍了DBE业务模式的演变及其快速而广泛的增长。然后,我们转而分析dbe的主要结构和行为特征。接下来是对竞争分析的影响,如如何定义市场,如何行使市场力量,以及补救措施。最后一部分给出了建议。随着针对大型dbe的公共和私人反垄断案件越来越多,美国司法部(DOJ)、联邦贸易委员会(FTC)、各州检察长和法院将继续努力解决它们的独特之处。本报告为执行者和政策制定者提供了重要的分析、见解和建议,帮助他们探索各种可用的工具,以控制dbe的市场力量。
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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