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An Assessment of the Effectiveness of AI-Driven Financial Advisory Services: A Case Study of Investment Firms in Gombe State

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
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  • Recommended for :
  • NGN 5000

Background of the Study

The financial advisory sector has witnessed significant transformations with the adoption of artificial intelligence (AI) technologies. AI-driven financial advisory services utilize machine learning algorithms, natural language processing, and predictive analytics to deliver personalized investment advice, risk assessments, and portfolio optimization (Chen & Zhang, 2024). These technologies improve service efficiency, reduce operational costs, and enable real-time decision-making.

In Gombe State, the financial services sector is gradually embracing AI solutions to cater to an increasing demand for sophisticated advisory services. However, the effectiveness of these AI-driven services remains underexplored. This study examines how AI technologies influence client satisfaction, decision-making, and operational performance in investment firms within the state.

Statement of the Problem

Traditional financial advisory services are often constrained by human inefficiencies, including biases, limited data analysis capabilities, and slower response times. While AI-driven advisory services offer promising alternatives, their effectiveness in meeting client expectations and achieving desired financial outcomes in Gombe State’s investment firms has not been adequately assessed. Challenges such as lack of trust in AI systems and limited adoption further compound the issue (Mustapha et al., 2023). This study seeks to evaluate the impact of AI-driven financial advisory services in addressing these challenges.

Objectives of the Study

  1. To assess the adoption level of AI-driven financial advisory services in investment firms in Gombe State.

  2. To evaluate the impact of AI technologies on client satisfaction and decision-making in financial advisory services.

  3. To identify challenges faced by investment firms in implementing AI-driven advisory services.

Research Questions

  1. What is the adoption level of AI-driven financial advisory services in investment firms in Gombe State?

  2. How do AI technologies influence client satisfaction and decision-making in financial advisory services?

  3. What challenges hinder the implementation of AI-driven advisory services in investment firms?

Research Hypotheses

  1. There is no significant relationship between the adoption of AI-driven financial advisory services and client satisfaction.

  2. AI technologies do not significantly impact decision-making in financial advisory services.

  3. Challenges to implementing AI-driven financial advisory services are not significant in investment firms in Gombe State.

Scope and Limitations of the Study

The study focuses on investment firms in Gombe State, analyzing their use of AI technologies in financial advisory services. Limitations include access to firm-specific data and variations in technology adoption levels.

Definitions of Terms

  • AI-Driven Financial Advisory Services: Automated systems that provide investment advice using artificial intelligence technologies.

  • Client Satisfaction: The degree to which financial advisory services meet or exceed client expectations.

  • Investment Firms: Organizations that manage investment portfolios and provide financial advisory services.





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