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Abimbola Serifat Oreoluwa

Publications (4)

Fintech Lending and MSME: A Pathway to Economic Development

Abimbola Serifat Oreoluwa, Roseline C. Igah, Richard Olusegun Ojo, Charles Bom & Ugochukwu Daniel Ofurum · Advances in Research · 2025

This review article examines how fintech lending platforms open access to finance for MSMEs, measures the impact of this access on MSME performance and economic outcomes, and identifies the key factors for sustainability and scalability of fintech solutions in the MSME sector. Ke...

Open access Research Article 10.9734/air/2025/v26i41401

The Privacy-Personalization Paradox in AI-Driven Customer Experience Analytics: A Trust-Centred Integrative Review and Responsible Personalization Framework

Rahmat Kofoworola Sanusi, Abimbola Serifat Oreoluwa & Temiloluwa Paul Adetola · Journal of Engineering Research and Reports · 2026

Artificial intelligence increasingly supports personalised customer experiences through predictive analytics, recommender systems, behavioural profiling and conversational interfaces. However, the data collection and inference required for personalisation can also heighten percep...

Open access Research Article 10.9734/jerr/2026/v28i102024

Organisational Communication and Servant Leadership as Interdependent Antecedents of Workplace Trust, Employee Engagement and Decision Effectiveness: A Critical Narrative Review

Nawas Abubakar & Abimbola Serifat Oreoluwa · Advances in Research · 2026

Organisations increasingly attribute their capacity to retain talent, sustain discretionary effort and reach sound decisions to the quality of leadership and to the character of internal communication. Two research traditions have developed around these claims. One examines serva...

Open access Research Article 10.9734/air/2026/v27i51722

Predictive Sentiment Analysis and Proactive Service Intelligence: Implications for Long-Term Customer Loyalty and Retention-A Scoping Review

Rahmat Kofoworola Sanusi, Temiloluwa Paul Adetola, Abimbola Serifat Oreoluwa & Sampson Boateng · Advances in Research · 2026

Background: Predictive sentiment analysis and proactive service intelligence are increasingly used to identify deteriorating customer relationships and support targeted service responses, yet evidence is distributed across marketing, customer relationship management, service rese...

Open access Research Article 10.9734/air/2026/v27i61753