Chatbots and AI-Based Marketing as a Digital Marketing Communication Strategy for SMEs in Africa: Conceptual Framework
Antoinette Yaa Benewaa Gabrah (),
George Oppong Ampong () and
Emelia Amoako Asiedu ()
Additional contact information
Antoinette Yaa Benewaa Gabrah: Academic City University College
George Oppong Ampong: Ghana Communication Technology University
Emelia Amoako Asiedu: Ghana Communication Technology University, Department of Marketing
Chapter 14 in Entrepreneurship and Small and Medium-Sized Enterprises (SMEs) in Africa, 2026, pp 307-329 from Springer
Abstract:
Abstract Chatbots and AI-based marketing go beyond basic communication by personalising the customer experience. These digital marketing tactics have become the new norm for firms, particularly SMEs in emerging markets. This study, therefore, focuses on the market outcome of chatbot and AI-based marketing, as well as the challenges faced in implementing chatbot and AI-based marketing as a digital marketing communication strategy. This objective was achieved via a review of the literature. This study proposes that, in the implementation of chatbots and AI-based marketing as a digital marketing communication strategy, infrastructural deficits, skills gap, and data privacy concerns are the main challenges faced by SMEs. The study further demonstrates that customer engagement, cost efficiency, and market reach expansion are key market outcome derived by firms that implement chatbot and AI-based marketing. The study suggests that government and private organisations must prioritise investments in digital infrastructure to address connectivity issues faced by SMEs to ensure improved market outcomes.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-14174-3_14
Ordering information: This item can be ordered from
http://www.springer.com/9783032141743
DOI: 10.1007/978-3-032-14174-3_14
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().