This empirical paper investigates the impact of green brand knowledge, green trust, and social responsibility on consumer purchase intentions within the developing nation of Pakistan. By highlighting the importance of these factors in influencing consumer behavior towards environmentally friendly products, the study aims to address the pressing need to mitigate environmental pollutants. Employing a quantitative research methodology, the study utilizes a questionnaire survey adapted from previous research to gather data. Regression analysis reveals significant and positive relationships between green brand knowledge, green trust, social responsibility, and consumer purchase intentions. Notably, green brand knowledge emerges as the most influential factor in shaping purchase intentions. This study contributes to the existing literature by providing insights into the dynamics of consumer behavior in a developing country context and offers practical implications for managers and decision-makers seeking to align organizational goals with consumer preferences for green brands. The findings underscore the importance of integrating environmental considerations into marketing strategies to meet consumer demand for sustainable products and foster environmental stewardship.

Countering cyber extremism is a crucial challenge in the digital age. Social media algorithms, if designed and used properly, have the potential to be a powerful tool in this fight, development of technological solutions that can make social networks a safer and healthier space for all users. this study mainly aims to provide a comprehensive view of the role played by the algorithms of social networking sites in countering electronic extremism, and clarifying the expected ease of use by programmers in limiting the dissemination of extremist data. Additionally, to analyzing the intended benefit in controlling and organizing digital content for users from all societal groups. Through the systematic review tool, a variety of previous literature related to the applications of algorithms in the field of online radicalization reduction was evaluated. Algorithms use machine learning and analysis of text and images to detect content that may be harmful, hateful, or call for violence. Posts, comments, photos and videos are analyzed to detect any signs of extremism. Algorithms also contribute to enhancing content that promotes positive values, tolerance and understanding between individuals, which reduces the impact of extremist content. Algorithms are also constantly updated to be able to discover new methods used by extremists to spread their ideas and avoid detection. The results indicate that it is possible to make the most of these algorithms and use them to enhance electronic security and reduce digital threats.

Promoting travelling intention within social media is significant for stakeholders to grasp a new tourism market and cultivate a new model for development of tourism industry. This study aims to understand path of destination image affecting travelling intention, and to investigate the mediation role of perceived value, furthermore, to uncover the role of moderator of situational involvement. This paper conducts a survey on tourists visiting Guilin, collecting 435 questionnaires, and uses the structural equation modeling method to explore how the image of the tourism destination affects tourists’ willingness to travel. The research results indicate that cognitive image, emotional image, and projected image all have a significant positive impact on perceived value, perceived value as a significant mediator to bridge the relationship among the destination image and tourists’ travel intention. Furthermore, situational involvement plays a negative moderating role in the mediating effect of emotional value. This study endeavor will serve to enrich the understanding of perceived value theory, destination image theory, and tourism consumer behavior theory. It will also provide theoretical foundations and policy recommendations for guiding tourism consumer behavior, analyzing destination image perception, and destination marketing.

Edible cutlery is a safe alternative that, if adopted, can act as a panacea to plastic pollution. Consumers who believe in a lifestyle of health and sustainability (LOHAS) can motivate others by taking the lead in this direction. This study has explored the psychological variables associated with LOHAS consumers in conjunction with the product attributes of edible cutlery to check whether these variables can influence lifestyle of health and sustainability (LOHAS) consumers to adopt edible cutlery. An empirical study on 210 LOHAS consumers using Partial Least Squares Structure Equation Modelling (PLS-SEM) and Importance Performance Matrix Analyses (IPMA) showed that social consciousness and subjective norms motivate them to adopt edible cutlery in restaurants. This finding has an implication for hospitality businesses using edible cutlery that can target LOHAS consumers with strategies that affect their social consciousness and subjective norm belief for better adoption intentions.

Using the unified theory of acceptance and use of technology (UTAUT), this study investigated the effect of perceived usefulness, perceived ease of use, social influence, facilitating condition, lifestyle compatibility, and perceived trust on both the intention to use and adoption of an e-wallet among adults. This quantitative study employed a cross-sectional research technique to collect data from 501 respondents via Google Form. The acquired data was assessed using partial least squares structural equation modelling (PLS-SEM). Therefore, perceived usefulness, perceived simplicity of use, social influence, lifestyle compatibility, and perceived trust all had a strong positive impact on both intentions to use and adoption of an e-wallet. This study demonstrated that the intention to use an e-wallet mediated the links between predictors and e-wallet adoption. Respondents’ age and gender moderated the effect of lifestyle compatibility on their intention to use an e-wallet. The study’s findings can assist managers and policymakers establish successful ways that capture customers’ intention to use and experience with employing an e-wallet amid a tumultuous market. Finally, such well-crafted policies may stimulate the digital platform and web-based apps, as well as raise e-wallet acceptance rates in undeveloped countries.