Determinants of Adoption of Green Technology in a Corporate Sustainability Setting: A Quantitative Analysis
subject: corporate sustainability; green innovation; green technology; sustainable development; technology adoption
description: Selecting a green technological solution that aligns with the enterprise's operational characteristics is a critical step in attaining sustainable green goals. It also plays a key role in the technology's successful commercialization. The obstructions lie in identifying the determinants that may arise during the adoption and transformation of green technology. A survey of 526 respondents from the Indian manufacturing industry was conducted, and the data collected were evaluated using artificial neural networks (ANNs) and a structural equation modeling approach. The study's findings reveal that barriers related to market and cost greatly affected green technology adoption. Regarding drivers, green technology implementation was positively impacted by business, environmental, and economic factors. This study discovered valued understandings for corporate decision-makers seeking to implement green technologies and contribute to enduring environmental and economic sustainability. 2025 ERP Environment and John Wiley & Sons Ltd.
creator: Agrawal, ShyamSunder; Boddeda, Omnamasivaya; Palisetty, Ramesh; NarendraKiran, P.B.; Jada, Kameswari; Naidu, AdariTulasee
source: Business Strategy and the Environment;Volume;34;Issue;7;pp.9397-9420
publisher: John Wiley and Sons Ltd
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 9644733;
format: online
language: English
type: Article
coverage: Agrawal S., Mittal School of Business, Lovely Professional University, Punjab, Phagwara, India; Boddeda O., Department of MBA, Gonna Institute of Information Technology & Sciences, Andhra Pradesh, Visakhapatnam, India; Palisetty R., Department of Management, Brainware University, West Bengal, Barasat, Kolkata, India; NarendraKiran P.B., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Jada K., Department of Data Sciences, Siva Sivani Institute of Management, Secunderabad, Telangana, India; Naidu A., Department of MBA, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, India