The findings of the study show that “high degree of automation,” “enhancing the flexibility in the manufacturing process,” and “real-time sensing capability” are the main influencer drivers among all cause group forces.
Sneha Kadyan, Lecturer, Jindal Global Business School, O.P. Jindal Global University, Sonepat, Haryana, India.
Rohit Agrawal, Operations Management and Quantitative Techniques, Indian Institute of Management, Bodhgaya, 824234, Bihar, India
Pragati Priyadarshinee, Chaitanya Bharathi Institute of Technology (A), Hyderabad, India.
Anil Kumar, Guildhall School of Business and Law, London Metropolitan University, London, UK.
Sunil Luthra, Ch. Ranbir Singh State Institute of Engineering and Technology, Jhajjar, Haryana, India.
Jose Arturo Garza-Reyes, Centre for Supply Chain Improvement, The University of Derby, Derby, UK.
Increasing globalization and climate change have significantly affected business activities. Government and other stakeholders are creating pressure to have a sustainable business model for efficient resource utilization and minimizing negative environmental impact. Many organizations have started focusing on sustainable and cleaner production through the adoption of net-zero economy (NZE) practices. Certain technological advancements are required to put these concepts into practice.
Firms have begun to adopt digital technologies (such as big data analytics, artificial intelligence, and internet of things), and have been widely used in practice to achieve NZE. Is digitalization unlocking the potential of sustainable practices in the context of a net-zero economy? This question is still unanswered; therefore, this study aims to identify and analyze the drivers of digitalization that ensure sustainable practices to achieve net-zero economy. Through an extensive literature review and experts’ opinions, a list of drivers was identified.
An empirical investigation was conducted to validate the identified drivers and further understand the influencing relationship among the drivers, Pythagorean fuzzy decision-making trial and evaluation laboratory (PF-DEMATEL) was employed. The findings of the study show that “high degree of automation,” “enhancing the flexibility in the manufacturing process,” and “real-time sensing capability” are the main influencer drivers among all cause group forces.
The present study can be a source for industrial practitioners and academia that can provide significant guidance on how the adoption of digitalization can unlock the potential to achieve CE, which can lead us toward net-zero.
Published in: Environmental Science and Pollution Research
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