scholarly journals Environmental Factors that influence Supply Chain Management Implementation in the Manufacturing Industries in Kenya: A Case of Manufacturing Industries in Nairobi, Kenya

2012 ◽  
Vol 1 (2) ◽  
pp. 104-111
Author(s):  
Stephen Waithaka Titus ◽  
◽  
Tom Kimani Mburu ◽  
Julius Koror ◽  
Stephen Muathe ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Factors ◽  
Manufacturing Industries ◽  
Chain Management

scholarly journals Revisiting Green Supply Chain Management Practices: The Mediating Role of Emotional Intelligence

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824402091463
Author(s):  
Adnan Khan ◽  
Meng Tao ◽  
Hassan Ahmad ◽  
Muhammad Nouman Shafique ◽  
Muhammad Zahid Nawaz
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Management Practices ◽  
Manufacturing Industries ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management

Environmental problems are one of the major concerns in China due to booming industries and large-scale production. Manufacturing industries must change the traditional approaches of production and supply chain management practices to cope with environmental issues. For this purpose, a multidisciplinary and empirical study has been conducted in China. In the manufacturing industries around the world, there is a noticeable transition in human resource management approaches toward green human resource management (GHRM). However, green training could be considered as a critical element of GHRM and could be used as an instrument to trigger emotional intelligence (EI) of the employees, which could make them more responsible toward the external environment and result in improved green supply chain management (GSCM) practices. Similarly, regulatory pressures could also enforce manufacturing industries to contribute positively to GSCM practices. In addition, taking into account the two critical functions of GSCM practices, that is, green purchasing and eco-design, this research study attempted to bring under consideration that GSCM practices could be enhanced through EI as well. For this purpose, data were collected from 250 manufacturing industries of China through a convenient sampling technique, and structural equation modeling was applied through Smart-PLS version 3.2.7 to measure and validate the model of this study. The findings of the study revealed that GSCM practices could be improved through regulatory pressures, and EI could be used as a mediating factor to enhance the relationship between GHRM (green training) and GSCM practices.

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