Pietro Chinnici, Simona Bacarella, Stefania Chironi, Vincenzo Naselli, Marzia Ingrassia
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Therefore, in order to help fill this gap, this review is the first study that aims to provide a comprehensive and detailed bibliometric analysis of the scientific literature published to date on the topics of AI for marketing and consumer studies in the D&B sector; in addiction, this study highlights the most discussed connecting themes among the main topics. Scientific co-occurrence maps were provided and Time Series analysis was carried out. Results showed limited number of scientific documents whose primary objective is the study of AI for Beverages’ Marketing, despite the likely increase in academic interest in these topics. Machine Learning is the most widely used technology for customer profiling and preference prediction. Findings suggest an interdisciplinary approach for future AI-based marketing research and consumer studies, to provide open tools for personalized marketing tactics and strategies for SMEs.</div></div>","PeriodicalId":34474,"journal":{"name":"Future Foods","volume":"12 ","pages":"Article 100704"},"PeriodicalIF":7.2000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review\",\"authors\":\"Pietro Chinnici, Simona Bacarella, Stefania Chironi, Vincenzo Naselli, Marzia Ingrassia\",\"doi\":\"10.1016/j.fufo.2025.100704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Application of Artificial Intelligence (AI) in the Drinks & Beverages (D&B) industry is becoming increasingly important for the competitiveness of companies in the sector. 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Results showed limited number of scientific documents whose primary objective is the study of AI for Beverages’ Marketing, despite the likely increase in academic interest in these topics. Machine Learning is the most widely used technology for customer profiling and preference prediction. 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How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review
Application of Artificial Intelligence (AI) in the Drinks & Beverages (D&B) industry is becoming increasingly important for the competitiveness of companies in the sector. AI application for Marketing 5.0 in the D&B industry is of growing interest to both researchers and companies. AI-tools allow to create extremely precise market segmentations and satisfy increasingly differentiated consumer preferences or even influence them. However, at present, research on AI for Marketing of companies in the D&B industry is still at an early stage. Furthermore, to the best of our knowledge, there is a lack of systematic and quantitative reviews mapping the scholarly landscape at the intersection of these topics of research. Therefore, in order to help fill this gap, this review is the first study that aims to provide a comprehensive and detailed bibliometric analysis of the scientific literature published to date on the topics of AI for marketing and consumer studies in the D&B sector; in addiction, this study highlights the most discussed connecting themes among the main topics. Scientific co-occurrence maps were provided and Time Series analysis was carried out. Results showed limited number of scientific documents whose primary objective is the study of AI for Beverages’ Marketing, despite the likely increase in academic interest in these topics. Machine Learning is the most widely used technology for customer profiling and preference prediction. Findings suggest an interdisciplinary approach for future AI-based marketing research and consumer studies, to provide open tools for personalized marketing tactics and strategies for SMEs.
Future FoodsAgricultural and Biological Sciences-Food Science
CiteScore
8.60
自引率
0.00%
发文量
97
审稿时长
15 weeks
期刊介绍:
Future Foods is a specialized journal that is dedicated to tackling the challenges posed by climate change and the need for sustainability in the realm of food production. The journal recognizes the imperative to transform current food manufacturing and consumption practices to meet the dietary needs of a burgeoning global population while simultaneously curbing environmental degradation.
The mission of Future Foods is to disseminate research that aligns with the goal of fostering the development of innovative technologies and alternative food sources to establish more sustainable food systems. The journal is committed to publishing high-quality, peer-reviewed articles that contribute to the advancement of sustainable food practices.
Abstracting and indexing:
Scopus
Directory of Open Access Journals (DOAJ)
Emerging Sources Citation Index (ESCI)
SCImago Journal Rank (SJR)
SNIP