
Abstract This review examines the future trajectory of digital and sustainable innovations in global marketing strategies, emphasizing their growing interconnectedness amid technological advancements and rising environmental concerns. It synthesizes current theoretical frameworks such as AI-driven marketing and sustainable marketing principles, highlighting key innovations including artificial intelligence, big data analytics, immersive technologies like the metaverse, and circular economy-driven marketing models. The review identifies emerging trends such as virtual influencers, precision marketing under privacy constraints, and integrative frameworks that combine digital capabilities with sustainability goals. Additionally, it addresses ethical challenges related to data privacy, transparency, and consumer trust, alongside the need for regulatory oversight in AI-enhanced marketing practices. Future research directions emphasize interdisciplinary approaches, regional adaptations, and methodological advancements leveraging machine learning and big data experimental designs. This synthesis provides a comprehensive understanding of how digital and sustainable marketing innovations are shaping future global marketing strategies and identifies critical gaps for further exploration.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
