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\title{ScholarOne - How to better motivate participants: Digital incentives in
digital platforms}



\author[1]{Xinbo Sun}%
\author[2]{Zhiwei He}%
\affil[1]{Affiliation not available}%
\affil[2]{Northeastern University}%


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  \date{May 01, 2026}


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\begin{abstract}
This study aims to deepen the understanding of digital incentives. We
employed a case study approach to examine a Chinese firm. Based on
coding and analyzing rich primary and secondary data, we explore the
characteristics and effects of digital incentives. The findings show
that digital incentives based on digital technologies such as blockchain
include both incentive digitalization and data incentivization. It can
effectively motivate participants to collaborate to improve innovation
performance. Meanwhile, the information transparency mechanism and trust
mechanism embedded in digital incentive contracts can effectively
inhibit participants' opportunistic behaviors, which help to cope with
the incompleteness of contracts and improve the effectiveness of digital
incentives. The study also reveals the dynamic evolution model in the
execution of digital incentive contracts. The findings suggest that this
dynamic model is conducive to the adaptive adjustment of incentive
resource portfolio, and coordinates the interests and expectations of
participants, thus achieving the sustainability of digital incentives.
Important practical implications suggest that digital platforms should
focus on the role of digital technologies such as blockchain to drive
the digital transformation of organizational incentives.%
\end{abstract}%



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\textbf{How to better motivate participants: Digital incentives in
digital platforms}

Xinbo Sun, School of Business Administration, Northeastern University,
Shenyang, 110169, China,xbsun@mail.neu.edu.cn

Zhiwei He, School of Business Administration, Northeastern University,
Shenyang, 110169,
China,\emph{hzw9810@163.com}\textbf{}\emph{}\textbf{}\emph{}

\textbf{Corresponding Author}

Zhiwei He, School of Business Administration, Northeastern University,
Shenyang, 110169, China. Email: hzw9810@163.com

\textbf{Funding}

This study was supported by grants from the National Natural Science
Foundation of China with the project numbers 72172031 and 72332001.

\textbf{Acknowledgements}

The authors would like to thank the informants from H-A for the rich
data they provided to help us complete this paper.

\textbf{Conflict of Interest}

The authors declare that there is no conflict of interest.

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