This research responds to the call on global convergence in the international business management domain. Global convergence requires new evolutionary, devolutionary and even revolutionary strategies that are framed in the context of digital transformation. The digital transformation phenomenon has led to different theoretical and managerial perspectives on disruptive technologies provoking the need for more studies on the integration of such technologies within SMEs ecosystem-based business models (EBBMs). In this vein, by adopting a micro-level lens, this research examines 718 managers from SMEs in Europe who have already embraced the digital transformation process and have bonded physical and digital ecosystems. The results are analysed through the application of logistic regression analysis.

A notable contribution of this study is the development of a new model which articulates the relationship between substantive capability, adaptation capability and change capability in the SME.

The study articulates how these work, support and facilitate disruptive technology integration in EBBM and suggests a method for their evaluation. As emerged the consideration that DCs are not replicable is supported and so it has been shown that technologies cannot replace human beings in their transformation business capabilities. This addresses the evolutionary change of global convergence generated by disruptive technologies that: 1. empower individual skills; 2. develops renewed strategies for enhancing network capabilities and; 3. allows the exploring and exploiting of opportunities from the influence of EBBM.

这项研究响应了国际商业管理领域全球融合的号召。全球融合需要在数字化转型的背景下制定新的渐进式、权力下放甚至革命性战略。数字化转型现象导致对颠覆性技术产生了不同的理论和管理观点，因此需要对此类技术在中小企业基于生态系统的商业模式（EBBM）中的整合进行更多研究。本着这种精神，本研究采用微观层面的视角，对 718 名来自欧洲中小企业的管理者进行了调查，他们已经接受了数字化转型过程，并建立了物理和数字生态系统。通过应用逻辑回归分析对结果进行分析。

这项研究的一个显着贡献是开发了一个新模型，该模型阐明了中小企业的实质性能力、适应能力和变革能力之间的关系。

该研究阐明了这些技术如何工作、支持和促进 EBBM 中的颠覆性技术集成，并提出了一种评估方法。随着数据中心不可复制的考虑得到支持，因此表明技术无法取代人类的业务转型能力。这解决了颠覆性技术带来的全球融合的演进变化，这些技术： 1. 增强个人技能；2. 制定新的战略以增强网络能力；3. 允许探索和利用 EBBM 影响下的机会。