With the wide application of blockchain in data sharing scenarios such as smart healthcare, the Internet of Things, and federated learning, how to maintain trusted collaboration and motivate nodes to continuously participate under the premise of privacy protection has become a key issue. The blockchain incentive mechanism builds a closed loop of "behavior - reward - continuous participation" through methods such as income rewards, reputation feedback and permission allocation, providing a reliable operation foundation for decentralized systems. This paper systematically reviews the relevant research in recent years based on the "incentive source structure" and "behavioral constraint logic", classifies the existing mechanisms into four categories: revenue-based, reputation-based, revenue-based and reputation-based, and rights-based, and conducts comparative analysis from aspects such as incentive processes, governance structures, and applicable scenarios. Research shows that a single incentive is difficult to balance efficiency, fairness and steady-state participation, while compound incentives have more advantages in enhancing incentive intensity, curbing free-riding and strengthening governance resilience. However, there are still challenges such as insufficient revenue confirmation, unstable reputation quantification and abuse of rights.

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Incentive Compensation and Incentive Regulation: Empirical Evidence

Carlo Cambini, Sara De Masi, Laura Rondi · SSRN Electronic Journal · 2013

Cited by 1Open access

Incentive management.

Albert S. Thompson · Journal of Applied Psychology · 1954

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Incentive Salaries

The Journal of Educational Research · 1945

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Incentive Systems

Martin Krzywdzinski · Oxford University Press eBooks · 2018

This chapter examines incentive systems in automotive plants in Russia and China. The point of departure here is the distinction between job-based systems, where the associated tasks are determined as precisely as possible for each job, and person-based systems, which assign tasks not to certain jobs but to certain competence or performance levels. While job-based systems are more typical for Russia, person-based systems prevail in China. The chapter then turns to variable compensation elements and performance reviews and examines how supervisors deal with performance appraisals. It reveals considerable differences between Russian and Chinese sites. The most notable difference concerns the use of performance appraisals. The Russian plants are characterized by a punishment culture that undermines the motivational effects of the incentive systems.

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Incentive Theory

Liang Ningjian · 2024

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