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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

The impact of corporate social responsibility practices on customer purchase intention of clothing industry: An integration of triple bottom line and ISO26000 Pages 79-90 Right click to download the paper Download PDF

Authors: Tak Jie Chan, Hon Tat Huam, Shien Ying Wong, Jessica Samson, Asmaul Husna Haris Fadzilah

DOI: 10.5267/j.dsl.2024.11.001

Keywords: Corporate social responsibility, Triple bottom line, ISO26000, Purchase intention, Sustainable Consumption and Production, Clothing industry

Abstract:
Corporate social responsibility (CSR) has gained research attention as the result of the Sustainable Development Goals (SDG), which focus on responsible consumption and production (SDG-12). However, previous studies mainly focused on Carroll’s pyramid of CSR and other facets of CSR practices need to be further explored. The objective of the study is to examine the impact of CSR practices on customer purchase intention in the clothing industry by integrating the Triple Bottom Line (TBL) model and ISO26000 best practices with the Signalling theory as the theoretical foundation. Through an online survey, a total of valid 182 responses were obtained via purposive sampling. Multiple regression was utilized for data analysis. The results show that economic CSR had the strongest impact on customer purchase intention, followed by environmental, social, and customer issues. Surprisingly, there was no significant impact between fair operating practices and customer purchase intention. The current study is unique by integrating the TBL framework with the customer-related ISO26000 CSR practices in a single framework and utilizing the Signalling Theory as the underpinning theory to explain the relationships, which is novel in an emerging market. The results provide insightful implications to the clothing company's management to emphasize the (social, economic, environmental, and customer issues) CSR attributes to guarantee business sustainability and attract consumers in this competitive marketplace.

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Journal: DSL | Year: 2025 | Volume: 14 | Issue: 1 | Views: 3679 | Reviews: 0

 
2.

Green operations management for sustainable development: An explicit analysis by using fuzzy best-worst method Pages 357-366 Right click to download the paper Download PDF

Authors: Priyanshi Gupta, V. K. Chawla, Vineet Jain, Surjit Angra

DOI: 10.5267/j.dsl.2022.1.003

Keywords: Fuzzy Best-Worst Method, Green Operations Management, Sustainability, Triple Bottom line

Abstract:
With increasing concerns and challenges to climate change in recent years, green operations management (GOM) has gained significant attention from society for achieving sustainable growth. GOM is a set of practices that can be applied in production processes to produce goods with improved productivity and significantly reduced threats of carbon emission to the environment and Mother Nature. GOM mainly includes green manufacturing, green design, green logistics, and green purchases. In the paper, fuzzy best-worst method (FBWM) is used to determine the best and worst criteria affected by GOM practices. Thus, the paper attempts to explicitly analyze and highlight the significance of GOM in preserving the environment and manage the triple bottom line for achieving overall sustainable business operations.
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Journal: DSL | Year: 2022 | Volume: 11 | Issue: 3 | Views: 1705 | Reviews: 0

 

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