Enhancing consumption of sustainable transportation: Determinants and outcome of consumer engagement with bike-sharing service.

Bike-sharing service has become a popular sustainable means of transportation due to its direct impact on traffic congestion, energy consumption, the environment, and people's quality of life. Existing literature suggests that sustainable consumption can be promoted by engaging consumers with green products. This study examined drivers and the outcome of consumer engagement with bike-sharing services based on the technology acceptance model (TAM).

Reducing environmental pollution by organisational citizenship behaviour in hospitality industry: the role of green employee involvement, performance management and dynamic capability.

Being a prominent tourist destination, the hotel industry's demand in Malaysia has been increasing day by day. There is still a shortage of studies focusing on how hotels can make environmental management routine work, take environmental laws seriously and be more responsive to the environment. This study focused on the connections between green employee involvement, green performance management and green dynamic capability in implementing environmental law in the hospitality industry.

A pathway to involve consumers for exchanging electronic waste: a deep learning integration of structural equation modelling and artificial neural network.

The pandemic of COVID-19 has disrupted every human life by putting the global activities at halt. In such a situation, people while staying at home tend to have an increased consumption which also leads to an increased level of waste generation. The case of electronic waste is also not different; however, it has severe repercussions while comparing it with other general household wastes.

Understanding consumer participation in managing ICT waste: Findings from two-staged Structural Equation Modeling-Artificial Neural Network approach.

For environmental management, the role of consumers is extremely important in the settings of reverse logistics. Though it is a manufacturer's extended responsibility to handle the waste however by becoming the supplier of the end of life products, consumers' participation needed to be encouraged and hence require proper attention. For the said purpose, the present study is conducted whereby crucial determinants of consumer reversing behavior were identified and analyzed by the help of a unique two-staged methodology of partial least square-structural equation modeling and artificial neural network.

Managing plastic waste disposal by assessing consumers' recycling behavior: the case of a densely populated developing country.

The rapid increase in urbanization has given rise to the need of proper waste management. Within municipal waste, the plastic waste is a growing concern which is causing severe harm to our ecosystem. If ignored, this problem will have harmful effects on both human and wildlife.