数实融合下跨界创新联盟信任关系评估模型

刘盟盟; 王京; 张影

doi:10.19571/j.cnki.1000-2995.2026.09.014

PDF(1302 KB)

科研管理 ›› 2026, Vol. 47 ›› Issue (9) : 142-153. DOI: 10.19571/j.cnki.1000-2995.2026.09.014 CSTR: 32148.14.kygl.2026.09.014

数实融合下跨界创新联盟信任关系评估模型

刘盟盟 ¹ ,
王京 ¹^,² ,
张影 ¹

作者信息 +

Trust assessment model for cross-boundary innovation alliances under the integration of digital and real economy

Liu Mengmeng ¹ ,
Wang Jing ¹^,² ,
Zhang Ying ¹

Author information +

文章历史 +

摘要

信任是促进跨界创新联盟协同效率提升、推动跨界创新过程的关键，数实融合背景下区块链技术应用使得跨界创新联盟信任关系多源证据发生深刻复杂变化。本研究立足信任源理论与创新网络理论的协同整合，考虑区块链技术影响，构建基于证据理论的跨界创新联盟信任关系评估模型，并以C-ITS跨界创新联盟为案例进行实证分析。研究发现:（1）混合证据融合规则可以进一步提高跨界创新联盟信任融合结果的可靠性、降低不确定性；（2）跨界制度信任、同界特征信任与跨界过程信任对跨界创新联盟信任的影响效应依次递减，其中前者能够与后二者产生叠加效用；（3）不同信任水平下，增强信任资本的侧重点存在差异，信任资本匮乏时要重视跨界制度与同界特征信任的交互作用，在信任资本存量突破联盟基准线后则要更多关注跨界制度与跨界过程信任的耦合增强作用。本研究为跨界创新联盟充分利用区块链技术扩张信任资本提供参考，对加快实现跨界创新、生成新质态有重要理论及实践价值。

Abstract

Trust is a critical factor in enhancing the collaborative efficiency of cross-boundary innovation alliances and driving the process of cross-boundary innovation. Under the background of the integration of the digital and the real economy，the application of blockchain technology has triggered profound and intricate transformations in the multi-source evidence underpinning trust relationships within cross-boundary innovation alliances. This study，grounded in the integration of trust source theory and innovation network theory while incorporating the influence of blockchain technology，constructed an assessment model for trust relationships in cross-boundary innovation alliances based on evidence theory. An empirical analysis was conducted using the C-ITS cross-boundary innovation alliance as a case study. The research findings were as follows:（1） The hybrid evidence fusion rule significantly enhances the reliability of trust fusion results in cross-boundary innovation alliances and effectively mitigate uncertainty. （2） The impact of cross-boundary institutional trust，co-boundary feature trust，and cross-boundary process trust on the overall trust level in cross-boundary innovation alliances diminishes sequentially，with the former demonstrating a synergistic effect when combined with the latter two factors. （3） Under varying levels of trust，the focus on enhancing trust capital shifts accordingly. When trust capital is limited，emphasis should be placed on the interaction between cross-boundary institutional trust and co-boundary feature trust. Once the trust capital stock surpasses the alliance's benchmark threshold，greater attention should be directed toward the coupling enhancement effect between cross-boundary institutional trust and cross-boundary process trust. This research offers valuable insights for cross-boundary innovation alliances to leverage blockchain technology fully for expanding trust capital and holds significant theoretical and practical implications for accelerating cross-boundary innovation and fostering new qualitative productive forces.

导出引用

刘盟盟, 王京, 张影. 数实融合下跨界创新联盟信任关系评估模型[J]. 科研管理. 2026, 47(9): 142-153 https://doi.org/10.19571/j.cnki.1000-2995.2026.09.014

Liu Mengmeng, Wang Jing, Zhang Ying. Trust assessment model for cross-boundary innovation alliances under the integration of digital and real economy[J]. Science Research Management. 2026, 47(9): 142-153 https://doi.org/10.19571/j.cnki.1000-2995.2026.09.014

中图分类号： C934;F272.3

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	Lanzolla G, Pesce D, Tucci C L. The digital transformation of search and recombination in the innovation function:Tensions and an integrative framework[J]. Journal of Product Innovation Management, 2021, 38(1):90-113. 本文引用 [4]

[2]

张姣玉, 徐政, 丁守海. 数实深度融合与新质生产力交互的逻辑机理、战略价值与实践路径[J]. 北京工业大学学报(社会科学版), 2024, 24(3):114-124.

Zhang

Jiaoyu

, Xu

Zheng

, Ding

Shouhai

. The logical mechanism,strategic value,and practical path of the interaction between new qualitative productivity and deep integration of data and reality[J]. Journal of Beijing University of Technology (Social Sciences Edition), 2024, 24(3):114-124.

本文引用 [2]

[3]	Su K, Wu J, Lu Y. With trust we innovate:Evidence from corporate R&D expenditure[J]. Technological Forecasting and Social Change, 2022, 182:121834. 本文引用 [1]

[4]	Galvin P, Tywoniak S, Sutherland J. Collaboration and opportunism in megaproject alliance contracts:The interplay between governance,trust and culture[J]. International Journal of Project Management, 2021, 39 (4):394-405. 本文引用 [1]

[5]	宋华, 韩思齐, 刘文诣. 数字技术如何构建供应链金融网络信任关系?[J]. 管理世界, 2022, 38(3):182-200. Song Hua, Han Siqi, Liu Wenyi. How does digital technology construct the trust relationship of supply chain finance network?[J]. Journal of Management World, 2022, 38(3):182-200. 本文引用 [1]

[6]	杨震宁, 白春叶. 跨国技术战略联盟的信任、冲突与联盟稳定[J]. 科研管理, 2018, 39(7):34-42. Yang Zhenning, Bai Chunye. Trust,conflict and stability of cross-national technological strategic alliances[J]. Science Research Management, 2018, 39(7):34-42. 本文引用 [1]

[7]	Jafarian B, Yazdani N, Sayad Haghighi M. Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities[J]. Expert Systems with Applications, 2025, 260:125391. 本文引用 [2]

[8]	Zhang M, Wu D, Xu H, et al. A consumer trust assessment model for online shopping based on fuzzy fusion decision-making[J]. Journal of Organizational and End User Computing, 2024, 36(1):1-23. 本文引用 [2]

[9]	Akrout H, Woodside A G. Buyers' trust and performance assessments of long-standing suppliers:Applying complexity causation and abductive modeling of multiple trust-forms and interfirm relationship-performance outcomes[J]. Industrial Marketing Management, 2024,123 :251-276. 本文引用 [2]

[10]	Tian X, Ma W, Wu L, et al. Large-scale consensus with dynamic trust and optimal reference in social network under incomplete probabilistic linguistic circumstance[J]. Information Sciences, 2024, 661:120123. 本文引用 [1]

[11]	Chen S, Zhou S. An extended trust and distrust network-based dual fuzzy recommendation model and its application based on user-generated content[J]. Expert Systems with Applications, 2024, 248:123360. 本文引用 [1]

[12]	Chen Y L, Liu Y J, Zheng W F, et al. Big data trust evaluation based on DSevidence theory and PageRank model[J]. Journal of Internet Technology, 2020, 21(4):959-966. 本文引用 [1]

[13]	Dempster A P. Upper and lower probabilities induced by a multivalued mapping[J]. The Annals of Mathematical Statistics, 1967, 38(2):325-339. 本文引用 [2]

[14]	Inglis J. A mathematical theory of evidence[J]. Technometrics, 1978, 20(1):106. 本文引用 [1]

[15]	Li Z, Zhu W, Wu Y, et al. Research on information fusion of security analysts' stock recommendations based on two-dimensional D-S evidence theory[J]. The North American Journal of Economics and Finance, 2024, 74:102261. 本文引用 [2]

[16]	Chen W, Zhang L. Resilience assessment of regional areas against earthquakes using multi-source information fusion[J]. Reliability Engineering & System Safety, 2021, 215:107833. 本文引用 [2]

[17]	Liu D, Gao S, Wei X, et al. Impactability and susceptibility assessment based on D-S evidence theory for analyzing the risk of fault propagation among catenary components[J]. Reliability Engineering & System Safety, 2024, 251:110389. 本文引用 [2]

[18]	Pan L, Gao X. Evidential Markov decision-making model based on belief entropy to predict interference effects[J]. Information Sciences, 2023, 633:10-26. 本文引用 [1]

[19]	Li S, Xu H, Xu J, et al. Inconsistency elimination of multi-source information fusion in smart home using the Dempster-Shafer evidence theory[J]. Information Processing & Management, 2024, 61(4):103723. 本文引用 [1]

[20]	李文立, 郭凯红. D-S证据理论合成规则及冲突问题[J]. 系统工程理论与实践, 2010, 30(8):1422-1432. Li Wenli, Guo Kaihong. Combination rules of D-S evidence theory and conflict problem[J]. Systems Engineering-Theory & Practice, 2010, 30(8):1422-1432. 本文引用 [5]

[21]	Baer M D, Sessions H, Welsh D T, et al. Motivated to "roll the dice" on trust:The relationships between employees' daily motives,risk propensity,and trust[J]. Journal of Applied Psychology, 2022, 107(9):1561-1578. 本文引用 [1]

[22]	McEvily B, Marcus A. Embedded ties and the acquisition of competitive capabilities[J]. Strategic Management Journal, 2005, 26(11):1033-1055. 本文引用 [1]

[23]	Zucker L G. Production of trust:Research in organizational behavior,institutional of the economic structure 1840-1920[J]. Research in Organizational Behavior, 1986, 8:53-111. 本文引用 [2]

[24]	Leary M T, Roberts M R. Do peer firms affect corporate financial policy?[J]. Journal of Finance, 2014, 69(1):139-178. 本文引用 [1]

[25]	阳长征. 网络突发事件结构张力对谣言异化的影响:基于投射性解释与锚定启发视角[J]. 情报杂志, 2024, 43(4):128-134. Yang Changzheng. Influence of structural tension on rumor alienation in network emergencies:Projective interpretation and anchoring inspiration[J]. Journal of Intelligence, 2024, 43(4):128-134. 本文引用 [1]

[26]	McAllister D J. Affect- and cognition-based trust as foundations for interpersonal cooperation in organizations[J]. Academy of Management Journal, 1995, 38(1):24-59. 本文引用 [1]

[27]	杨昊. 区块链:从密码朋克到人类命运共同体[J]. 国际论坛, 2021, 23(2):53-71+157-158. Yang Hao. Blockchain:From cypherpunk to the community with a shared future[J]. International Forum, 2021, 23(2):53-71+157-158. 本文引用 [1]

[28]	Yager R R. Entailment for measure based belief structures[J]. Information Fusion, 2019, 47:111-116. 本文引用 [1]

[29]

姜海宁, 吕国庆, 杨梦君, 等. 内生型轮轴式产业集群创新网络演化研究:以台州汽车产业集群为例[J]. 地理研究, 2023, 42(8):2053-2069.

Jiang

Haining

, Lyu

Guoqing

, Yang

Mengjun

, et al. Innovation network evolution of endogenous hub-and-spoke cluster:A case study of Taizhou automobile industry cluster[J]. Geographical Research, 2023, 42(8):2053-2069.

本文引用 [1]