To accomplish the 2030 Sustainable Development Goals (SDGs), the manufacturing industry faces significant hurdles, particularly in embracing green servitization and circular economy ideas and confronting the dearth of research on green servitization for sustainability. To fill this lacuna, this study examines the role of green servitization in promoting circular economy practices (CEPs) and sustainability in Malaysian manufacturing firms. A robust framework has been forged based on the natural resource‐based view (NRBV) theory. Data from a survey of 251 manufacturing firms (Malaysian and Japanese) were collected and analyzed using a hybrid methodology that included structural equation modeling and artificial neural network (SEM‐ANN). The research findings from SEM highlight that green servitization positively promotes CEP and sustainable performance. Furthermore, CEP has a mediating role between green servitization and sustainable performance. The ANN results indicate that CEP is the dominant predictor of sustainability dimensions. Unlike the prior research that theoretically assumes that all relationships are linear, this has been the nascent study that has successfully validated that there exists a nonlinear relationship in the NRBV framework. Based on the outcomes, study contributions, practical implications, and future research avenues have been discussed.

中文翻译：

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通过混合 SEM-ANN 方法对绿色服务化、循环经济和可持续发展进行成功组合分析


为了实现2030年可持续发展目标（SDG），制造业面临重大障碍，特别是在拥抱绿色服务化和循环经济理念方面，以及缺乏可持续发展绿色服务化研究的问题。为了填补这一空白，本研究探讨了绿色服务化在促进马来西亚制造企业循环经济实践（CEP）和可持续发展方面的作用。基于自然资源观（NRBV）理论已经形成了一个强大的框架。使用包括结构方程模型和人工神经网络 (SEM-ANN) 的混合方法收集和分析了对 251 家制造公司（马来西亚和日本）的调查数据。 SEM 的研究结果强调，绿色服务化可积极促进 CEP 和可持续绩效。此外，CEP 在绿色服务化和可持续绩效之间具有中介作用。 ANN 结果表明，CEP 是可持续性维度的主要预测因子。与之前的研究从理论上假设所有关系都是线性的不同，这项新兴研究成功验证了 NRBV 框架中存在非线性关系。根据结果​​，讨论了研究贡献、实际意义和未来的研究途径。