Artificial Intelligence in Strategic Marketing Decisions

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 321

Special Issue Editor


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Guest Editor
Academic Advisor and Ex-Director and Professor of Accounting and AIS, Akron, OH 44319, USA
Interests: AI; accounting information systems; internal controls; risk; security; governance; cognitive models; decision making; audit and assurance

Special Issue Information

Dear Colleagues,

This Special Issue invites high-quality, original research that examines compelling questions in strategic marketing decision making for the role of artificial intelligence (AI).

The forward-looking, future-based, long-term, ongoing focus of strategic decisions has inherent uncertainties and unknown variables which are difficult to manage and risks which are hard to balance. AI is viewed as adept in managing these features efficiently and effectively. Successive generations of AI are becoming better at uncertainty management and generating reliable outcomes. Strategic decision is likened to a chess game which involves the prediction and uncertainty management of competition. The computational power of computer chess games is known to be a challenge for grandmasters.

Due to this, it begs the question of whether strategic marketing decisions and their process can benefit from AI to provide effective decision support. Challenges in strategic marketing decisions are common to all organizations, including large, small, public, private, not-for-profit, governmental, and municipality organizations. While man-machine discourse is not new, decision-makers should explore ways to leverage AI and its innovations, including language-learning models such as ChatGPT on a sustained basis in terms of their opportunities, challenges, and risks. For example, the paucity of publicly available good-quality data characteristics of strategic marketing offers research opportunities in machine learning for AI-based applications.

This Special Issue favors the submission of empirical research. The following list, which is non-exhaustive and non-inclusive, identifies illustrative examples of topics of interests for strategic marketing decisions:

  • Design science;
  • Solutions for data paucity challenges;
  • Data privacy and confidentially;
  • Regulatory oversight;
  • Public policy;
  • Applications in the public sector, private sector, non-for-profit sector, education sector, government, semi-government entities, municipalities, and healthcare;
  • Integrated solutions using competing technologies such as blockchain.

Dr. Akhilesh Chandra
Guest Editor

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. Systems is an international peer-reviewed open access monthly 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.

Published Papers

This special issue is now open for submission.
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