With the changing way people live, communicate, and work, enterprises are striving to shift their existing business model into a “self‐tuning” one. Enterprises are becoming more agile, adaptive, and ambidextrous in order to boost innovation in the current digital transformation era. Nowadays, “digital innovation” is closely associated with Industry 4.0 enablers and smart enterprises. Prior research has shown that while multinational enterprises—across many sectors—have already embraced the aforementioned advancements, their adoption by small and‐medium‐sized enterprises (SMEs) has so far taken place mainly in the manufacturing sector. Thus, based on a sample of 280 self‐tuned smart manufacturing SMEs and having utilized the structural equation modeling (SEM), this study was aimed to investigate how digital innovation is influenced by the three pillars of self‐tuning models—agility, adaptation, and ambidexterity. Our paper has focussed on the digital systems in which SMEs, spurred by networking and open innovation solutions, operate and innovate in response to external triggers, displaying a balance between exploration and exploitation, and a strong agile capacity.

中文翻译：

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智能制造中小企业的自我调整模型：对数字创新的影响

随着人们生活，沟通和工作方式的变化，企业正在努力将其现有的业务模式转变为“自我调整”的模式。企业正在变得更加敏捷，适应性和灵活性，以在当前的数字化转型时代推动创新。如今，“数字创新”与工业4.0支持者和智能企业紧密相关。先前的研究表明，尽管跨国公司（跨多个部门）已经接受了上述进步，但迄今为止，中小企业对其的采用主要发生在制造业。因此，基于280家自我调整的智能制造中小型企业的样本，并利用结构方程模型（SEM），这项研究旨在研究数字创新如何受到自我调整模型的三个支柱（敏捷性，适应性和灵活性）的影响。我们的论文集中在数字系统上，其中中小企业受到网络和开放式创新解决方案的激励，在响应外部触发因素的情况下进行操作和创新，显示出在勘探与开发之间的平衡以及强大的敏捷能力。