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Over the past decade, the rise of blockchain technology has led to the emergence of a growing number of decentralized platforms that are governed less by platform owners and more through community efforts. The emergence of blockchain platforms offers a unique opportunity to examine alternative structures for platform governance and to develop a theory around the value of centralized, semi-decentralized, and decentralized governance. Drawing on mechanism design theory, we evaluate the tradeoffs between centralization and decentralization and hypothesize semi-decentralization as a higher performing governance structure. Empirical evidence from the blockchain industry shows that decentralization has an inverted U-shaped relationship with platforms’ market capitalization, developer attention, and development activity. We further examine factors driving the decentralization of platform governance and find that digital platforms of the infrastructure layer—relative to those of the application layer—have a tendency to become more decentralized. This tendency, nevertheless, can be offset by experienced leaders to achieve semi-decentralization. Overall, this study contributes new insights on the characteristics, antecedents, and consequences of effective platform governance.

Performance feedback theory has been recognized as a generative theory in organization and management studies that explains why, when, and how organizations initiate or discontinue specific strategic actions. Over the past decades, an extensive body of empirical research has tested the theory, refined its key tenets, and broadened its applications. Yet, empirical results on the effects of performance feedback often vary and even produce conflicting insights that are difficult to interpret. Following recent developments, we suggest that empirical controversies can be largely reconciled once we consider different performance feedback conditions, organizational actions, and boundary conditions. We conducted a meta-analytic review of 113 empirical studies to statistically evaluate how and why the effects of performance feedback may vary according to various factors. By identifying factors shaping organizational responses to performance feedback, this study helps integrate existing empirical evidence and offers new directions for future theoretical development and empirical research.

As more and more companies are deploying, or plan to deploy, information systems, the organizational capabilities to effectively deploy information technologies to support and shape businesses become increasingly important. While many studies have focused on how to acquire state-of-the-art information technologies and on how to effectively utilize implemented information technologies, more studies are still needed to investigate how a company can successfully deploy acquired information technologies to support and shape businesses strategies and value chain activities. IT deployment capabilities are defined as the organizational capabilities to configure and reconfigure a company's information system by adding new IT components or by adapting the existing information systems in order to make the whole information system available to support and shape businesses. This study identifies and investigates the three building blocks of IT deployment capabilities: strategic IT flexibility, business-IT partnership, and business-IT alignment. Using the resourcebased view, we propose a framework to explain the relationship between IT deployment capabilities and competitive advantage. The research model is tested on data collected in China. Results show that strategic IT flexibility and business-IT partnership have direct impacts on competitive advantage, while business-IT alignment has an indirect impact on competitive advantage. The effect of business-IT alignment on competitive advantage is fully mediated by strategic IT flexibility and business-IT partnership. The results provide support for the relationship between IT deployment capabilities and competitive advantage. The study presents implications for how to develop IT deployment capabilities and how to generate business value from IT investment.

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