Role of sustainable business model, Industry 4.0, crowdfunding, and stakeholders' pressure toward firm's sustainability: A SEM‐ANN approach

持续性 可持续经营 业务 可持续发展 适度 商业模式 产业组织 营销 计算机科学 生态学 机器学习 政治学 法学 生物
作者
Amin Ur Rahman,Fenghua Wen,Fiza Amjad
出处
期刊:Business Strategy and The Environment [Wiley]
卷期号:33 (7): 7409-7426 被引量:23
标识
DOI:10.1002/bse.3869
摘要

Abstract With growing global attention on achieving sustainable development goals, businesses worldwide face mounting pressures to incorporate sustainability into their business models and operations. However, despite the recognized importance of sustainability in modern manufacturing operations, the path toward embedding sustainability remains unclear and challenging for many manufacturing firms. Within the theoretical framework of dynamic capability theory and the imperative of sustainable development goals, this study investigates the influence of sustainable business models, crowdfunding, Industry 4.0 technologies, and stakeholders' pressure on the sustainable performance of manufacturing firms in Pakistan. Based on survey data from 370 small and medium enterprise owners and managers, our study utilized a hybrid approach by combining partial least squares–Structural equation modeling (SEM) and artificial neural networking techniques. The results emphasize a significant and positive impact of a sustainable business model on firm sustainability. Moreover, the findings reveal that Industry 4.0 technology and crowdfunding partially mediate the relationship between sustainable business models and sustainable performance, highlighting the significant role of advanced technologies and alternative financing. Besides, stakeholders' pressure emerges as a crucial moderator, further strengthening the relationship between sustainable business models and firm sustainability. This study advances knowledge of sustainable business actions within the firms and constitutes a valuable input for businesses, policymakers, and other stakeholders dedicated to enhancing sustainable growth in the manufacturing sector.
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