The emergence of the Internet as a commercialization method has offered organizations many opportunities. However, when buyers want to execute a transaction online, a certain distrust typically accompanies the need to provide personal data. To address this problem, assurance seals have been designed for use on websites. Different guarantee logos certify compliance with buyer protection laws and offer transparency in the commercial process. Thus, assurance seals displayed on the websites of sellers that adhere to a specific trust system allow consumers to choose among entities that have publicly committed to best business practices. We researched 130 sellers in Europe and Latin America that adhere to assurance seals in order to determine the influence of such seals. Our research shows that the use of trust seals increases Internet sales for more than 66% of these companies, improves their corporate image, enhances the number of potential buyers who visit their websites, and generally captures consumers’ attention.

Purpose: This paper aims to examine how sustainability-oriented companies manage the social disruption caused by artificial intelligence (AI) implementation while maintaining their environmental missions. Original insights are provided into the intersection of technological advancement, human factors and environmental management, focussing on organisational transformation challenges and strategies for balancing innovation with traditional environmental values. Design/methodology/approach: A narrative literature review methodology was applied to synthesise and analyse the complex interactions between environmental management, AI implementation and organisational transformation. Multiple electronic databases were systematically searched using predetermined keywords related to green technologies, AI implementation and organisational change within sustainability-oriented organisations. The analytical process was structured to facilitate the integration of multiple theoretical perspectives and empirical findings. Findings: Successful AI integration in sustainability-oriented organisations requires sophisticated approaches to knowledge management, leadership development and organisational design. Companies must design new models that combine technological capabilities with environmental expertise while addressing social impacts. Traditional environmental values can be preserved through thoughtful integration of AI systems. Research limitations/implications: The study’s conceptual nature may limit immediate applicability across different organisational contexts and scales. The rapid pace of AI development means recent innovations may not be reflected in academic literature. The interdisciplinary nature required judgements about relevance that may have introduced selection bias. Empirical research is needed to validate proposed frameworks. Originality/value: Novel insights are provided into specific challenges faced by sustainability-oriented organisations implementing AI, offering unique perspectives on managing the intersection of environmental values and technological innovation. Original frameworks are presented for understanding and addressing social dimensions of technological transformation in environmentally-focussed companies.