Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/6661
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dc.contributor.authorMuduva Martinen_US
dc.contributor.authorFungai Jacqueline Kiwaen_US
dc.date.accessioned2025-07-30T12:52:57Z-
dc.date.available2025-07-30T12:52:57Z-
dc.date.issued2025-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/6661-
dc.description.abstractThis chapter explores the transformative role of artificial intelligence (AI) in revolutionizing green marketing strategies to support the circular economy. It highlights how AI enhances resource efficiency and promotes sustainable consumer behaviors through predictive modeling that anticipates preferences, enabling targeted eco-friendly campaigns. The chapter outlines key AI technologies and illustrates their role in optimizing marketing efforts and resource management to reduce waste and energy consumption. This chapter employs a qualitative approach, incorporating case studies, interviews, and document analysis. The study focuses on businesses, particularly start-ups, to examine how AI enhances resource efficiency and fosters sustainable practices. A purposive sample of 15–20 businesses in Harare, Zimbabwe, that actively use AI in green marketing was selected. Data triangulation from interviews, case studies, and document reviews ensures the credibility and trustworthiness of the findings. The findings reveal three major themes. First, AI technologies, such as predictive analytics and machine learning, were found to significantly optimize resource efficiency by reducing waste across industries. Second, AI-powered tools improved targeted consumer engagement, allowing businesses to create personalized marketing campaigns that resonate with eco-conscious customers. Third, barriers to AI adoption, including high costs, limited access to quality data, and a lack of technical expertise were noted as significant challenges faced by start-up businesses.en_US
dc.language.isoenen_US
dc.publisherPalgrave Macmillan, Chamen_US
dc.relation.ispartofPalgrave Studies of Marketing in Emerging Economies.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectGreen marketingen_US
dc.subjectCircular economy.en_US
dc.titleArtificial Intelligence-Driven Green Marketing Strategies for a Circular Economyen_US
dc.typebook parten_US
dc.relation.publicationSustainable Green Marketing Strategies for a Circular Economy; Muposhi, A., Nyagadza, B. (eds)en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-031-81627-7_11-
dc.contributor.affiliationDepartment of Information and Marketing Science, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationDepartment of ICT and Electronics, School of Engineering Science and Technology, Chinhoyi University of Technology, Chinhoyi, Zimbabween_US
dc.relation.isbn978-3-031-81626-0en_US
dc.description.startpage209en_US
dc.description.endpage237en_US
item.openairetypebook part-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.fulltextWith Fulltext-
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