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Advances in Artificial Intelligence (AI), Big Data and Machine Learning for the Sustainable Food Marketing

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 566

Special Issue Editors


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Guest Editor
Department of Marketing, College of Management, National Chung Hsing University, Taichung City, Taiwan
Interests: green marketing; risk management; sustainable environment; food sustainability; green product

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Guest Editor
Department of Business Management, National Cheng Kung University, Tainan City, Taiwan
Interests: marketing management; international marketing; business strategy; artificial intelligence (AI); big data; machine learning

Special Issue Information

Dear Colleagues,

The topic of this Special Issue is the analysis of food marketing in relation to sustainability:  overviews, theories, issues, and aspects in the application of artificial intelligence (AI), big data, and machine learning. Some AI-related technologies allow us to interpret one or another mode of food marketing and sustainability to identify a particular set of problems and to seek a variety of solutions to those problems. Hence the importance of critical review or empirical studies of those AI-related technologies and how AI-related technologies affect the resulting practices for sustainable food marketing.

AI can be leveraged throughout sustainability development and AI can facilitate the process of value creation. Not only has AI significantly reduced firms’ R&D costs but it also accelerated the time to market of their new products. AI can deal with the increasing availability of data that are collected through online platforms. Big data facilitate the identification and exploitation of business opportunities with powerful AI algorithms. At a strategic level, AI technologies may reshape the strategy and business model of firms. This improvement would enable the startup to reduce delivery time, lower costs, and process higher volumes of video footage, thus reordering the basic elements of its business model. 

The rapid development of artificial intelligence (AI) technologies enables various AI applications to have sustainable food marketing capabilities. AI applications continuously promote the continuous growth and expansion of the food market. However, AI technology’s advances in how to bring market efficiency and sustainable development is a critical issue.

Schools of thought that make up the field of AI and sustainable food marketing have undergone both the consolidation and application of their most relevant contributions and the criticism of some of the aspects of their implications or even their fundamental proposals.   This Special Issue invites empirical papers and theoretical contributions that focus on some of the following concepts:(the list is not exhaustive)

  • Food marketing and its relation to management and strategy
  • The application of AI for sustainable food marketing
  • Innovative business model for sustainable food marketing
  • Sustainable food marketing in SMEs and large companies
  • Interfaces between AI and sustainable food marketing issues
  • Knowledge, learning, AI, and sustainable food marketing issues
  • Sustainable food marketing in the non-profit sector
  • Sustainable food marketing in the social entrepreneurship
  • New business incubators for sustainable food marketing
  • Networks in sustainable food marketing
  • Online sustainable food marketing and AI technologies
  • The impact of public policy on sustainable food marketing
  • Interdisciplinary approaches to the study of sustainable food marketing and AI
  • Research methods for sustainable food marketing
  • Food marketing and sustainable development

Dr. Chih-Wen Wu
Dr. Huei-Ting Tsai
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • advances in artificial intelligence (AI)
  • big data
  • machine learning
  • sustainable food marketing

Published Papers

There is no accepted submissions to this special issue at this moment.
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