数字学术创新平台网络效应影响因素的理论框架及激励策略
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作者单位:

重庆社会科学院 《改革》杂志社,重庆 400020

作者简介:

许志敏,博士,重庆社会科学院《改革》杂志社编审,Email: 56824766@qq.com。

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中图分类号:

G301;TP399-C2;F49

基金项目:

国家社会科学基金项目“人类命运共同体视域下扩大中国哲学社会科学学术朋友圈研究”(22BXW014)


Theoretical framework and incentive strategies of factors influencing the network effect of digital academic innovation platforms
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Reform Magazine, Chongqing Academy of Social Sciences, Chongqing 400020, P.R.China

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    摘要:

    网络效应是平台成长的核心力量,是平台机构运营的关键。网络效应是平台网络行动者从网络特征优化中获得的效用改善和网络整体绩效改善,体现在结点层面行动者效用与网络整体层面的绩效改善。网络效应不仅与规模有关,还与网络结构和网络功能维度的其他特征要素有关。在借鉴Afuah、Turrinia等的网络效应影响因素理论分析框架的基础上,选取三个不同类型的国际知名的开放性数字学术创新平台DOAJ、arXiv、ORCID进行多案例探索性研究,分析其网络效应的影响因素,构建开放性数字学术创新平台网络效应的影响因素理论分析框架。研究结果表明,网络结构特征和网络功能特征是数字学术创新平台网络效应的主要影响因素。网络结构特征是指行动者的数量、角色、位置及其关系的相对特征。网络结构特征中,网络规模、网络异质性、网络密度和网络中心度是影响数字学术创新平台网络效应的主要因素。网络功能特征指平台自身节点在整个网络中的作用,即网络的创建者和管理者在网络目标实现过程中所展现的能力素质及其所采取的措施。对于数字学术期刊创新平台来说,网络关系能力和技术创新水平是影响其网络效应的主要因素。基于此,构建了数字学术创新平台网络效应影响因素的理论框架,并提出了激发我国开放性数字学术创新平台网络效应,促进其快速成长的对策建议。

    Abstract:

    Network effect is the core strength of platform growth and the key to operation of platform institutions. Network effect refers to the improvement of utility and overall network performance obtained by platform network actors from optimizing network features, which is reflected in the utility of actors at the node level and the performance improvement at the overall network level. Network effects are not only related to scale, but also to other characteristic elements of network structure and functional dimensions. Based on the theoretical analysis framework of network effect influencing factors by Afuah, Turrinia, and others, three different types of internationally renowned open digital academic innovation platforms DOAJ, arXiv, and ORCID are selected for multi case exploratory research to analyze the influencing factors of their network effects and construct a theoretical analysis framework for the influencing factors of network effects on open digital academic innovation platforms. The research results indicate that network structure characteristics and network function characteristics are the main influencing factors of the network effect of digital academic innovation platforms. The characteristics of network structure refer to the relative features of the number, roles, positions, and relationships of actors. Among the characteristics of network structure, network size, network heterogeneity, network density, and network centrality are the main factors affecting the network effect of digital academic innovation platforms. The network functional characteristics refer to the role of the platform’s own nodes in the entire network, that is, the abilities and measures demonstrated by the creators and managers of the network in achieving network goals. For digital academic journal innovation platforms, network relationship capability and technological innovation level are the main factors affecting their network effects. Based on this, a theoretical framework for the influencing factors of the network effect of digital academic journal innovation platforms has been constructed, and countermeasures and suggestions have been proposed to stimulate the network effect of China’s open digital academic innovation platforms and promote their rapid growth.

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引用本文

许志敏.数字学术创新平台网络效应影响因素的理论框架及激励策略[J].重庆大学学报社会科学版,2025,31(5):117-130. DOI:10.11835/j. issn.1008-5831. pj.2025.09.008

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  • 在线发布日期: 2025-12-05
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