Cross-Industry Business Development through the Integration of Media, Marketing, and Artificial Intelligence in Scalable Technology Companies

Citation: Andrii Bondarenko, "Cross-Industry Business Development through the Integration of Media, Marketing, and Artificial Intelligence in Scalable Technology Companies", Universal Library of Innovative Research and Studies, Volume 03, Issue 02.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article explores the integration of media, marketing, and artificial intelligence as a foundation for cross-industry business development in scalable technology companies. The article addresses the growing relevance of capability recombination under digital transformation, where firm growth depends on the capacity to link audience formation, commercialization, and data-driven product design. Its novelty lies in a convergent framework that unites media collaboration, strategic marketing, and AI-enabled problem-solving within a single model of venture creation and scaling. The study shows that media capabilities generate attention, trust, and user insight, marketing capabilities convert these assets into partnerships and monetization, and AI transforms dispersed operational and regulatory data into scalable decision-support products. The case analysis demonstrates that such recombination supports market-gap identification, product–market fit, and expansion in sectors marked by informational fragmentation, regulatory density, and operational complexity, including logistics. The article will be useful for researchers, entrepreneurs, innovation managers, and technology venture strategists.

Keywords: Cross-Industry Innovation, Business Development, Digital Transformation, Media Capabilities, Marketing Capabilities.

https://doi.org/10.70315/uloap.ulirs.2026.0302004