Digital Marketing: Algorithms, Applications and Business Sustainability
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 (1 April 2024) | Viewed by 12718
Special Issue Editors
Interests: recommender systems; big data analytics; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: AI/ML applications in marketing and finance; knowledge engineering; IS adoption or use
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Diverse demographics and customer experiences are changing consumer expectations and consumption trends. In addition, purchasing channels are becoming more diverse and complex. This change in the business environment demands continuous innovation from companies. One of the promising innovations is the application of digital marketing. Digital marketing uses digital technology to market products or services over the Internet, social media, smart phones, or other digital media.
Digital marketers today can combine the Internet and big data analytics to collect and analyze data about various customer behaviors or user engagements. As a result, we can provide more personalized content and advertisements to our customers for better customer engagement, corporate profits, and business sustainability. Some companies use big data accumulated inside and outside the company to provide personalized recommendation services by discovering new trends and analyzing customer preferences and consumption patterns.
The purpose of this Special Issue is publish papers developing algorithms for digital marketing, examining applications of personalization services, and analyzing the impact of the use of big data analytics in digital marketing on the sustainability of businesses.
For this Special Issue, we invite paper contributions related to sustainable business models of digital marketing and digital marketing technologies such as big data analysis, marketing channel analysis, unstructured data analysis, recommender systems, case studies, or other quantitative, qualitative, or mixed-methods on this topic.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Marketing technology;
- Marketing automation;
- Customer relationship management;
- Intelligent marketing services and applications;
- Social media marketing;
- Personalized service/advertisement;
- Recommender systems;
- Customer experience design/digital experience design;
- Customer data and privacy;
- Digital platform business;
- Digital contents business;
- Big data analytics;
- AI-based data analytics in E-commerce.
We look forward to receiving your contributions.
Prof. Dr. Jae Kyeong Kim
Prof. Dr. Hyunchul Ahn
Prof. Dr. Byungjoon Yoo
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
- digital marketing
- data analysis
- personalized service
- marketing technology
- big data
- recommender systems
- business sustainability
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