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ABSTRACT Green innovation is a powerful tool for enhancing sustainability in organizations by focusing on environmental, social, and economic perspectives. Despite the benefits of green innovation, its implementation remains abysmal in developing countries. While previous research has identified various policies, it has often overlooked their combined impact hindering the successful adoption of green innovation. To address this lacuna, the current study empirically identified policies to promote green innovation adoption in an emerging economy by using the Pakistani manufacturing sector as a case. A unique approach integrating the fuzzy Delphi method (FDM), interpretive structural modeling (ISM), and cross‐impact matrix multiplication applied to classification (MICMAC) was developed to analyze the policies. First, green innovation policies were identified through an extensive literature review; they were then filtered using the Delphi method. Second, the ISM approach was used to meticulously adjudicate interactions between the identified policies. Finally, MICMAC was used to determine the driving and dependence power of policies. The study's findings indicate that “rules and regulations” and “green taxes and emission trading scheme” are the most significant policies for green innovation adoption while “big vision” and “corporate social responsibility” are the least important. The practitioners and manufacturing industry managers can promote green innovation initiatives by incorporating rules and regulations and an emission trading scheme.
Ullah et al. (Tue,) studied this question.