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The present study investigates the impact of opinion leadership and spirituality from three types of social media influencers (SMIs) on individuals’ intentions to conduct recycling. This research is driven by the opinion leadership theory demonstrated by influencer marketing.

This research applies a between-subject experiment to measure the impact of the proposed model. Each participant was exposed to a different influencer: an attractive influencer (Treatment 1, n = 101), an expert influencer (Treatment 2, n = 94), a religious influencer (Treatment 3, n = 99) and a control condition (Treatment 4, n = 102). An ANOVA post-hoc analysis was conducted to further assess the impact dynamics of each influencer based on different demographics such as age, income and level of education. More than 95% of the samples consist of Muslims.

Findings revealed the different dynamics of the effect of opinion leadership and spirituality on the intention to recycle from utilising different types of influencers. Samples derived from a high socio-economic background and exposed to the religious influencer (Treatment 3) have a relatively higher mean score. In general, younger participants with lower incomes and levels of education have less tendency to conduct recycling.

This research attempts to fill the gap in the impact of influencer marketing on green behaviour adoption with the inclusion of spirituality, which has been largely ignored in this context. It offers insights from the perspective of a developing economy that has one of the largest percentages of social media users in the world and from a country that regards a relationship with God as important.

This study aims to fill the gap on proenvironmental behavior studies among consumers in bottom of the pyramid (BOP) market by examining the relationship between values, beliefs and norms among Ghanaian consumers.

A sample of 324 Ghanaian consumers (responses rate of 64%) was used to estimate the model. The data was analyzed using maximum likelihood robust approach of Lavaan package for structural equation modeling in R.

The findings show that there is no significant relationship between values and the new ecological worldview, which also does not affect awareness of environmental consequences. However, awareness of consequences, likely based on personal experiences, significantly impacts perceived ability to reduce threats to the environment. Ghanaian consumers are mainly influenced by personal experiences with local environmental consequences that affect their perceived ability to reduce threats to their environment and their willingness to engage in proenvironmental behavior. The study supports the argument that proenvironmental behavior is the result of complex decision-making that might be influenced by a country’s economic situation, infrastructure, culture and institutions.

This study focuses on a single country in Africa. More studies are needed among other base of the pyramid countries, and in comparison to developed countries’ consumers.

The study adds to the limited knowledge regarding sustainable consumption in the neglected context of the bottom of the pyramid market.

In the global context, artificial intelligence (AI) technology and environmental, social and governance (ESG) have emerged as central drivers facilitating corporate transformation and the business model revolution. This paper aims to investigate whether and how the application of AI enhances the ESG performance of enterprises.

This study uses panel data from Chinese A-share listed companies spanning the period from 2012 to 2022. Through a multivariate regression analysis, it examines the impact of AI on the ESG performance of enterprises.

The findings suggest that the application of AI in enterprises has a positive impact on ESG performance. Internal control systems within the organization and external information environments act as mediators in the relationship between AI and corporate ESG performance. Furthermore, corporate compliance plays a moderating role in the connection between AI and corporate ESG performance.

This paper underscores the pivotal role played by AI in enhancing corporate ESG performance. It explores the pathways to improving corporate ESG behavior from the perspectives of internal control and information environments. This discussion holds significant implications for advancing the application of AI in enterprises and enhancing their sustainable governance capabilities.