Modeling the critical success factors of implementing net zero emission (NZE) and promoting resilience and social value creation

• Published in: Technological forecasting & social change 2022-08, Vol.181, p.121759, Article 121759
• Main Authors: Sindhwani, Rahul, Singh, Punj Lata, Behl, Abhishek, Afridi, Mohd. Shayan, Sammanit, Debaroti, Tiwari, Aviral Kumar
• Format: Article
• Language: English
• Subjects: Criteria; Critical factors; Net zero emission; Pythagorean fuzzy Delphi; Sensitivity analysis
• ISSN: 0040-1625; 1873-5509
• DOI: 10.1016/j.techfore.2022.121759

An urgent need for reasonable practices has been introduced and familiarized in institutions in every sector to control the impending disaster due to climate change. Significant steps have been initiated to control the escalating emissions, climate change, and global warming. Recently, an international contract was signed in Paris targeting net zero emissions by 2050. This study was conducted to positively support the cause and assist in its progress. This study identifies some of the critical factors hindering the progress of net-zero emission (NZE)-supporting technologies and methods within firms in various sectors. For a broader understanding of these factors, they were sorted according to suitable criteria. A novel methodological approach of PF-Delphi-AHP-CoCoSo and sensitivity analysis was utilized to draw results regarding the priority of consideration for the critical factors relating to the importance of their criteria. A questionnaire was prepared, and a panel of experts was consulted for their opinions, according to which the analysis was conducted. The results show that managerial issues and a lack of professional expertise have the highest importance, meaning that these are the key fields where attention is needed to implement the NZE agenda. •Systematic review performed for finding critical factors.•Pythagorean fuzzy Delphi was used to shortlist and validate the identified CFs.•Pythagorean fuzzy AHP was used to evaluate the criteria weightage.•Pythagorean fuzzy CoCoSo was used to analyze and rank the CFs.•A framework was proposed for implementing NZE and promoting resilience.