Abstract
Increasing sustainability traction in business and the environmental consciousness of customers have forced multinationals to adopt eco-friendly processes. Despite using the different recycling approaches the textile industry is still fighting with problems like higher water pollution, emissions, and increased carbon footprint. Hence, the need for innovating green products or using sustainable material is growing and researchers still have discordance on the predictor and outcome of innovation in the industry. Considering this, the present study is tried to understand the impact of the environmental consciousness of consumers on the green performance of the textile industry. A conceptual model has been proposed which includes adaptability of green culture, innovation, green performance, and employee commitment. The study uses the data of 198 employees from textile manufacturing organizations through a structured questionnaire. With the help of the structural equation modeling (SEM) technique, it was found that the most relevant factor of innovation is the adaptability of green culture and green performance was found as the major outcome and significant mediating role of employee commitment between innovation and green performance. The findings of the study would help the textile industry managers to create a green culture by creating its link with green innovation and green performance through developing environmental consciousness among the employees which further support the textile industry in pollution reduction.
Original language | English |
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Article number | 127039 |
Journal | Journal of Cleaner Production |
Volume | 303 |
Early online date | 12 Apr 2021 |
DOIs | |
Publication status | Published - 20 Jun 2021 |
Keywords
- Adaptability
- Business strategy
- Empirical analysis
- Environmental consciousness
- Green performance
- Innovation
- Textile industry
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- General Environmental Science
- Strategy and Management
- Industrial and Manufacturing Engineering