Pro-environmental behaviour (PEB) helps individuals to minimize the negative effects of their actions on the environment; for example, by recycling and reducing energy consumption. This study aimed to explore consumers’ attitudes and trust in energy-efficient household appliances and their environmental and eco-label knowledge to determine how these may affect pro-environmental behaviour (PEB). In addition, the study examined the mediating effects of attitude and green trust on the proposed frameworks of environmental and eco-label knowledge in relation to consumer pro-environmental behaviour. PLS-SEM (Partial Least Squares–Structural Equation Modelling) was applied to a study from Bangladesh to examine hypotheses proposed from the data generated by 1510 valid respondents relating to their experiences of using household energy-efficient products. The results showed that environmental knowledge, eco-label knowledge, attitude, and green trust all significantly correlated with consumer pro-environmental behaviour. In addition, attitude and green trust significantly mediated the relationship between environmental knowledge, eco-label knowledge, and pro-environmental behaviour. This study also found that green trust positively affects consumer attitudes, and that those attitudes serve as a significant mediator between green trust and pro-environmental behaviour. An IPMA (importance-performance matrix analysis) map indicated that the total effects of environmental attitude and eco-label knowledge were more important to defining the pro-environmental behaviour of consumers than those of environmental knowledge and green trust. To the best of the authors’ knowledge, this research introduces for the first time an empirical survey that provides a new theoretical framework for consumer pro-environmental behaviour in regard to energy-efficient household appliances in the context of a developing country. Suggestions are provided on ways to promote energy-saving appliances from theoretical and practical perspectives.

Since energy consumption in developing countries has increased significantly, motivating energy-saving habits among citizens is an important issue both from the academic and industrial perspectives. Thus, this study aims to predict consumer purchase intention for energy-efficient household appliances based on an extended model of the Theory of Planned Behavior (TPB). This study incorporated two additional constructs of moral norms and environmental concern in the model of the TPB. A self-administered questionnaire was distributed to 1155 Bangladeshi consumers, and partial least squares structural equation modeling (PLS-SEM) regression was used to test the hypotheses. Results show that attitude, subjective norms, and perceived behavior control significantly influence consumer purchase intention of energy-efficient appliances (EEAs). This study also proved that the extension of moral norms is a significant predictor of consumers’ purchase intention in the classic theory of planned behavior (TPB). However, environmental concerns had no significant influence in the Bangladesh context. As far as the authors’ knowledge, this is the first empirical survey in Bangladesh to predict energy-efficient household appliance (EEHA) purchasing intentions using an extended model of the TPB. Marketers and policymakers can use the findings of this study to design strategies for generating more value for green consumers. The study also provides insights into environmental marketing and sustainable energy consumption in developing countries from theoretical and practical perspectives.

This research was aimed at investigating the environmentally responsible behavior of tourists and their satisfaction with a tourist destination. Moreover, this study examined the effects of employee service quality, perceived value, environmental commitment and tourist satisfaction with a destination on loyalty and environmentally responsible behavior. We used data from tourists (n = 640) who had previously visited the world’s longest natural sea beach (Cox’s Bazar, Bangladesh). A partial least square structural equation model (PLS-SEM) method was used in this study to evaluate the proposed model and hypotheses. The results suggest that the perceived value of the destination has a significantly positive impact on both tourist satisfaction and environmental commitment. Similarly, employee service quality significantly impacts perceived value, tourist satisfaction and environmental commitment. Thus, both perceived value and employee service quality also substantially affect the environmentally responsible behavior at the Cox’s Bazar tourist destination. The main contribution of this research involved an investigation of the mediating effects of environmental commitment and tourist satisfaction with a destination on loyalty and environmentally responsible behavior using a single model based on relationship quality theory. Tourist satisfaction was found to completely mediate the relationship between the perceived value of a destination and environmentally responsible behavior, as well as loyalty. In addition, the theoretical and managerial implications for the destination were discussed.

The study aims at determining the predictors of mobile grocery shopping applications (MGSAs) acceptance and their impact on behavioral intention to use MGSA during COVID-19 outbreaks. Based on the technology acceptance model and theory of planned behavior, we analyzed the influence of social distancing, fear of COVID-19, subjective norms, shopping attitudes, ease of use, usefulness on behavioral intention to use MGSAs. Data were collected from 565 users and analyzed with structured equation modeling (SEM) using SMART PLS 3 software. Findings depicted that shopping attitudes were predicted by subjective norms, ease of use, and usefulness. In contrast, behavioral intention is predicted by subjective norms, attitudes, ease of use, usefulness, fear of COVID-19, and social distancing. The study contributes to the extant literature incorporating fear of COVID-19 and social distancing as psychological and situational variables into the technology acceptance model and theory of planned behavior, which may guide the marketing practitioners to promote online sales in an unprecedented situation.