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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.

Online gaming is consistently changing with the use of new technologies and seen as making an impact on consumers’ sustainable lifestyles. The gaming avatars have influenced low avatar identification players to engage in physical and learning activities through massively multiplayer online (MMO) game genre. The fundamental purpose of the study is to classify the association of an avatar with consumer’s behavioural intention for exercise and to consume healthy food. This study incorporates three theories: social cognitive theory (SCT), social determination theory (SDT) and player-avatar identification (PAI) theory to determine its four dimensions’ impact on exercise and healthy food intention to attain a sustainable healthy lifestyle. SCT is related to human cognitive behaviour in the light of immersive experience, self-presence, and enjoyment. SDT related to the physical aspects of consumers that are exercise intention and consumption of healthy food. The results have shown that immersive experience, self-presence and enjoyment do impact the consumer’s behavioural intention towards an individual’s sustainability.

Green supply chain management (GSCM), a cross-disciplinary field has grown during recent years with increasing interest from both academia and industry. GSCM considers emphasizing environmental issues in Traditional Supply Chain Management (TSCM). Due to the new trends in global warming, environmental sustainability has become a greater concern among the organizations and enterprises globally. This study will focus on green supply chain management practices in the presence of green innovation. Green innovation will improve organizational processes as well as products, which lead to economic and environmental performance. Different institutional actors are putting pressures to implement Green supply chain management practices. Population of this study is electronics industry in Pakistan. Sample size is 500 with cluster sampling technique. Data has been collected through a survey method based on the adopted questionnaire. The collected data will be tested through Cronbach Alpha, Descriptive Statistics, Pearson Correlation, Linear Regression, Moderated Regression, Multiple Logistic Regression and Hayes’s statistical tests to analyse the suggested research model. This study will enable organizations to implement green supply chain management practices to bear institutional pressure and move towards green innovation to enhance their economic and environmental performance that were never possible before this study.