Thematic Analysis
Lady L
VivaEmmanuelNutsukloupdatedJun191.pptx
Assessing the Effect of Artificial Intelligence on Customer Service in Ghana's Banking Sector
Course: IDBA
Presented by: Emmanuel Nutsuklo
Student ID: 21167000
Under the guidance of: Mr. Nithish Nair
Date: 20th June 2024
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Table of Content
Introduction
Research Questions, Aim and Objectives
Significance of Research
Literature Review
Methodology
Data Analysis and Findings
Key Findings
Implications, Recommendations and Limitations
Conclusion
Future Scope
Questions & Answers
References
Introduction
The emergence of Artificial Intelligence technology has impacted a lot of industries including the banking sctor in Ghana.
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One key area in banking that AI has been used is for customer services
02
It is important to know the key drivers and challenges related to AI adoption for these types of services to ensure benefits are maximized and risks are minimized.
03
Research Questions, Aim and Objectives
How has the deployment of AI powered solutions in customer service influenced customer engagement and loyalty in the Ghanaian banking industry?
What are the prevailing challenges and opportunities that Ghanaian banks face when implementing AI solutions for customer service?
What are the future trends for the use of AI in customer service in the Ghanaian banking industry?
Research Questions
This research aims to provide a holistic understanding of AI's role in shaping customer service activities within Ghanaian banks. The findings aim to equip industry stakeholders with knowledge to make informed decisions.
Examine AI Utilization
Evaluate Impact
Strategic Forecasting
Research Aim
To ascertain the keyways in which AI is being used in Ghanaian banks to improve customer service.
To assess the effect of AI on customer satisfaction, costs of provision of customer service, and associated revenue for Ghanaian banks.
To forecast and propose recommendations on possible ways Ghanaian banks can effectively exploit AI solutions to scale up their existing methods of administering customer service.
Research Objectives
Significance of Research
The study will provide useful and timely insights required for furthering a customer-centric banking sector.
The findings will equip industry stakeholders with strategic guidance necessary for informed decision-making, to aid the effective adoption and integration of AI solutions for enhanced customer service.
By exploring some of the areas of this topic that currently have limited research materials, this research aims to contribute to the academic discourse surrounding AI-driven customer service in emerging economies.
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Literature Review
| No. | Author/Reference | Key Findings/Contributions | Themes/Topics |
| 1 | Ade-Ibijola, A., & Chinedu, O. (2023). Artificial Intelligence in Africa: Emerging Challenges. | Delves into the emerging challenges of AI integration in Africa, with key highlights on infrastructural, educational, and regulatory barriers. | AI in Africa, Challenges, Integration |
| 2 | Omoge, A.P., Gala, P., & Horky, A. (2022). Disruptive technology and AI in the banking industry of an emerging market. | Analyzes the impact of disruptive technologies and AI in the banking industry of emerging markets, focusing on opportunities and challenges. | Disruptive Technology, AI, Banking |
| 3 | ADDO, Y. (2023). Challenges faced by Ghanaians with Traditional Banks and the Need for More. | Discusses the challenges Ghanaians face with traditional banking services and the need for more innovative solutions. | Banking Challenges, Innovation, Ghana |
| 4 | Dei Kwasi Bright (2024). Challenges of AI Integration in Africa. | Explores the challenges and strategies for integrating AI in Africa, focusing on infrastructural and policy-related issues. | AI Integration, Challenges, Africa |
| 5 | Business Insider (2022), AI in Banking. | Reviews the role and impact of AI technologies in the banking sector, discussing current applications and future potential. | AI in Banking, Technology, Applications |
| 6 | Nana Kofi Bobbie-Sarfo (2023). AI-driven Personalization: A New Era in Ghanaian Banking Services. | Discusses the impact of AI-driven personalization on banking services in Ghana, highlighting benefits and challenges. | AI Personalization, Banking, Ghana |
| 7 | Tsaurai, K., & Chimbo, B. (2022). Determinants of internet usage: Relevance of financial development in emerging markets. | Explores the factors influencing internet usage in emerging markets and the role of financial development. | Internet Usage, Financial Development |
| 8 | Daza, A., Wilfredo P. R., & Salazar Jiménez, J. A. (2023). The impact of chatbots on customer satisfaction. | Conducts a systematic literature review on the impact of chatbots on customer satisfaction, highlighting benefits and challenges. | Chatbots, Customer Satisfaction, AI |
| 9 | Kobby Mensah et al. (2023). The emergence of AI deployment in corporate Ghana. | Examines the deployment of AI technologies in corporate Ghana, identifying key drivers and barriers. | AI Deployment, Corporate, Ghana |
| 10 | LAZO, M., & Ebardo, R. (2023). AI adoption in the banking industry: Current state and future prospect. | Reviews the current state of AI adoption in the banking industry and explores future prospects and trends. | AI Adoption, Banking, Future Trends |
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Methodology
Data collection
Data analysis approach
Preparing the data by cleaning and coding
Conducting quantitative analysis using frequency distributions
Conducting qualitative analysis using the thematic analysis method by coding and identifying key themes in the open responses
Visualization using pie charts
Target sample size: 450
Sampling Technique: Convenience sampling
Sampling approach
Survey ( multiple choice)
Technology: Google forms
Quantitative method of data collection
Survey (open-ended questions)
Technology: Google forms
Qualitative method of data collection
Data analysis
Data Analysis and Findings
Total number of respondents : 136
Total number of customers: 83
Total number of bank staff: 53
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Data Analysis and Findings (Bank Staff)
In your opinion, how have AI-driven services impacted customer satisfaction?
To what extent have AI-driven services impacted operational costs in customer service operations?
Has the introduction of AI-driven services contributed to increased revenue generation for your bank?
Data Analysis and Findings (Bank Customer)
Have you used any AI-driven service (e.g., chatbots, voice assistants) for banking inquiries or transactions??
How satisfied are you with the AI-driven services provided by your bank?
How likely are you to use AI-driven services for your future banking needs?
Key Findings
64% Ghanaian Banks have implemented some form of AI tool for customer service
59% of customers expressed satisfaction with the use AI with another 67% indicating they will likely use AI services for bank transactions in future.
88% of bank staff indicated AI services have led to improvement in customer satisfaction with 57% observing a shift in customer preferences to the use of AI powered banking services
67% of banks staff said the introduction of AI services had increased revenue generation and another 54% indicated a higher ROI attributable to AI driven services as compared to traditional channel
There is a healthy appetite for the consumption of banking services through AI powered services.
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Implications, Recommendations and Limitations
Implications:
There is immense potential of the use of AI in customer service for Ghanaian banks but challenges trust in AI and technology integration must be overcome to realize full benefits.
Recommendation:
Banks should work to invest in training both staff and customers on AI
Banks should apply appropriate security protocols when deploying AI,
Banks should place customer needs at the center of AI product development,
Banks should incorporate local nuances into product design and perform extensive pilot for new AI services to ensure they reap maximum benefits.
Limitations
Sample Size
Temporal Constraints
Data Availability
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Conclusion
Artificial intelligence holds much promise to significantly alter and improve several ways services and goods are delivered.
Evidently, opportunities exist to improve operational efficiency and customer experience by leveraging AI-powered solutions.
To successfully do this, however, careful planning and strategic thinking are required to ensure the banks' customer needs, regulatory requirements, and strategic goals are aligned.
The banks that stay up to date and evolve their strategy with the changing AI landscape will be in an excellent position to gain considerable competitive advantage.
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Future Scope
Longitudinal analysis
Further research into related topics such as
Effect of AI on employment within the Ghanaian banking sector.
The relationship between ethical use of AI and customer trust issues
Comparative studies of AI adoption challenges in developing and developed countries.
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I am open to Questions Now.
THANK YOU !
I would like to extended my profound gratitude to UniAthena for the great learning service.
I also wish to thank Nithish Nair, my research supervisor for all his assistance and guidance throughout the module journey.
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References
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