How Storytelling-Driven Mobile Learning Becomes an Economical and Lucrative Revenue Engine for the Financial Industry in the Age of AI

Behl, Ishani (2026) How Storytelling-Driven Mobile Learning Becomes an Economical and Lucrative Revenue Engine for the Financial Industry in the Age of AI. Journal of Innovation and Technology, 2026 (15). pp. 132-138. ISSN 2805-5179

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Abstract

This paper argues that storytelling-driven mobile learning is an economical and lucrative way to improve revenue performance in the financial industry, particularly in sales environments where product complexity and weak explanation quality reduce conversion, persistency, and customer trust. Using evidence synthesized from the underlying manuscript, updated JOIT project material, LYNQ deployment evidence, and supporting industry references, the paper reframes training as a commercial lever rather than a support function. The central claim is that mobile storytelling improves sales readiness faster than classroom-heavy formats because it makes complex product logic easier to retrieve, explain, and apply in live customer conversations. Across the source material, the model is associated with stronger comprehension, higher engagement, better persistency outcomes, and lower content update cost. In an AI-enabled financial sector, the paper concludes that storytelling-driven mobile learning should be treated as strategic sales infrastructure because it lowers readiness time, improves revenue quality, and scales more efficiently than traditional delivery models.

Item Type: Article
Uncontrolled Keywords: Storytelling-driven mobile learning, revenue generation, sales readiness, financial services, AI
Subjects: H Social Sciences > HG Finance
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Depositing User: Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited: 15 Jun 2026 08:46
Last Modified: 15 Jun 2026 08:46
URI: http://eprints.intimal.edu.my/id/eprint/2330

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