Deploying Environmental Management Across Functions: The Relationship Between Green Human Resource Management and Green Supply Chain Management

2016 ◽  
Vol 151 (4) ◽  
pp. 1081-1095 ◽  
Author(s):  
Annachiara Longoni ◽  
Davide Luzzini ◽  
Marco Guerci
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Innocent Senyo Kwasi Acquah ◽  
Yaw Agyabeng-Mensah ◽  
Ebenezer Afum

PurposeThe increasing concern for the protection of the environment through pollution prevention, conservation of resources and less usage of energy has attracted several firms to align green practices with their supply chain and human resource policies and practices. This study explores the influence of green human resource management and green supply chain management practices on operational, market, financial, social and environmental performances.Design/methodology/approachThe study uses partial least square–structural equation modeling approach to analyze the data gathered through structured questionnaires from supply chain and human resource managers in manufacturing and hospitality firms in Ghana.FindingsIt is established that green supply chain management practices play complementary partial mediating role between green human resource management and operational, market, social and environmental performances, while it plays competitive partial mediating role between green human resource management and financial performance. Subsequently, the analysis reveals that the synergy between green human resource management and green supply chain management creates the highest value in operational performance, followed by market performance, environmental performance, financial performance and social performance.Originality/valueThe study proposes and tests a conceptual model that examines the synergistic influence of green human resource management and green supply chain management on operational, market, financial, social and environmental performances.


SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824402091463
Author(s):  
Adnan Khan ◽  
Meng Tao ◽  
Hassan Ahmad ◽  
Muhammad Nouman Shafique ◽  
Muhammad Zahid Nawaz

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.


Author(s):  
FÁBIO YTOSHI SHIBAO ◽  
GERALDO CARDOSO DE OLIVEIRA NETO ◽  
FLAVIA CRISTINA DA SILVA ◽  
EDUARDO CABRINI POMPONE

ABSTRACT Purpose: To evaluate the universe of published articles that propose frameworks about the relationship between green supply chain management (GSCM) and performance in the period from 1995 to 2014, in order to propose a conceptual model that can be applied to future studies, considering the green profile besides the practices of GSCM and performance. Originality/gap/relevance/implications: The investigation revealed a lack of relationship among the organizations' profile, its environmental, economic and operational performance and GSCM practices. Key methodological aspects: The relationship among constructs was established through bibliometric analysis obtained in the models/frameworks of GSCM practices and performance extracted from the databases "ProQuest", "EBSCO", "JSTOR", "Web of Science" and "Scopus". Further, the content analysis and network analysis were then performed. Summary of key results: GSCM internal and external practices, environmental performance, economic performance and operational performance were revealed as main topics addressed in GSCM. Moreover, it was noted that studies on internal practices prevailed over those addressed to other practices. Key considerations/conclusions: The models studied did not consider whether the corporate green profile could improve the performance of the organization. Therefore, they did not simultaneously measure environmental, economic and operational performance. It was concluded that the addition of the green profile in conjunction with GSCM practices and performance allows for a more in-depth analysis of the degree of a company's involvement with GSCM, as well as its intended objectives and results achieved in the future.


Author(s):  
Surajit Bag ◽  
Neeraj Anand ◽  
Krishan Kumar Pandey

The purpose of this chapter is to identify the dimensions of green supply chain and their impact on manufacturing practices. In this study, the authors used two extended strategies. First thorough review of literature was done considering articles from reputed journals. Second the factors identified from literature review was further refined through experts by forming a problem solving group consisting of seven experts from the manufacturing sector. These factors were used to develop the green supply chain management model using Interpretive structural modeling. Further MICMAC analysis was used to identify the driving and dependence power of the factors. The results of the analysis are very encouraging. Finally, the authors have presented the relationship management strategy for sustainable manufacturing practices.


Sign in / Sign up

Export Citation Format

Share Document