Trust as Strategic Capital: Mergers, Acquisitions, and Co-Creation in Global Business

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Contemporary strategic management places heavy weight on contractual sophistication and financial structuring to govern mergers, acquisitions, and co-creation partnerships, yet these formal mechanisms routinely fail to explain why some of the most consequential transactions succeed while others, with comparable financial logic, collapse. This article advances trust as strategic capital as a conceptual framework for this gap: trust, understood through the ability, benevolence, and integrity dimensions of Mayer, Davis, and Schoorman's (1995) model of organisational trust, lowers the perceived risk of sharing proprietary knowledge and accepting mutual vulnerability, enabling cooperation that contractual protection alone cannot secure. Drawing on Commitment-Trust Theory, the Mayer-Davis-Schoorman model, and Social Capital Theory, the paper develops this argument through purposively selected, illustrative case narratives across the automotive, technology, pharmaceutical, and aviation sectors, including the Toyota-Subaru co-development, the Pfizer-BioNTech vaccine co-creation, the Microsoft-OpenAI partnership, and the Daimler-Chrysler merger as a contrasting case of trust deficit. It draws a conceptual parallel with indigenous African trust architectures, particularly the Somali hagbad, hawala, and xeer systems and the Ubuntu philosophy of Southern Africa, as illustrations that trust-based governance finds expression across formal and informal institutional environments. It introduces the concept of trust optics as a determinant of leadership legitimacy in corporate and political contexts, and advances a multi-level trust architecture for understanding how individual, organisational, and institutional trust interact to shape cooperative outcomes. The paper concludes, as a conceptual proposition rather than a statistically tested causal claim, that trust functions as a necessary enabling condition for deep, knowledge-intensive cooperation.

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