A study of customer satisfaction in using banking services through Artificial Intelligence (AI) in India

Purpose This article examines customer satisfaction in using banking services through Artificial Intelligence (AI) in India. It addresses two questions: first, will customers perceive AI technology as a reliable and efficient alternative to traditional banking practices; second, will AI save customers’ time. Design/methodology/approach The quantitative research method based on regression analysis models was adopted for hypothesis testing, with data collected from a survey of 189 banking customers from four banks, i.e., State Bank of India, Axis Bank, Punjab National Bank, and HDFC Bank in India. Findings AI improves banking customers’ experiences by making banking more accessible and enjoyable. Satisfied customers are quick to use cutting-edge AI tools. However, human service is more satisfying than digital service. AI has great potential but works alongside humans rather than replacing them. Even though AI’s novel architecture is helpful, human bank tellers are still needed in enhancing customer satisfaction. Originality/value AI’s integration in Indian banking, propelled by customer satisfaction, foresees a transformative landscape. This study uncovers AI’s role in saving time and improving customer satisfaction. While AI revolutionizes financial processes, its harmonious coexistence with human expertise emphasizes personalized and efficient services. This study provides insights for optimal AI utilization in shaping the future of banking.

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Publication Details

Journal
Public Administration and Policy
Published
2024-08-16
DOI
https://doi.org/10.1108/pap-05-2023-0060
Citations
10
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
4.39
Controls
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article

A study of customer satisfaction in using banking services through Artificial Intelligence (AI) in India

Yasir Arafat Elahi, Arya Kumar, Apoorva Mishra, Asmat Ara Shaikh
10 citations
Public Administration and Policy
Consumer Retail Behavior Studies
4.39
article

A study of customer satisfaction in using banking services through Artificial Intelligence (AI) in India

Yasir Arafat Elahi, Arya Kumar, Apoorva Mishra, Asmat Ara Shaikh
article en
10 citations

Abstract

Purpose This article examines customer satisfaction in using banking services through Artificial Intelligence (AI) in India. It addresses two questions: first, will customers perceive AI technology as a reliable and efficient alternative to traditional banking practices; second, will AI save customers’ time. Design/methodology/approach The quantitative research method based on regression analysis models was adopted for hypothesis testing, with data collected from a survey of 189 banking customers from four banks, i.e., State Bank of India, Axis Bank, Punjab National Bank, and HDFC Bank in India. Findings AI improves banking customers’ experiences by making banking more accessible and enjoyable. Satisfied customers are quick to use cutting-edge AI tools. However, human service is more satisfying than digital service. AI has great potential but works alongside humans rather than replacing them. Even though AI’s novel architecture is helpful, human bank tellers are still needed in enhancing customer satisfaction. Originality/value AI’s integration in Indian banking, propelled by customer satisfaction, foresees a transformative landscape. This study uncovers AI’s role in saving time and improving customer satisfaction. While AI revolutionizes financial processes, its harmonious coexistence with human expertise emphasizes personalized and efficient services. This study provides insights for optimal AI utilization in shaping the future of banking.

Public Administration and PolicyVol. 27(2)
Integral University (IN), Tilak Maharashtra Vidyapeeth (IN), KIIT University (IN)
Openalex Percentile: Top 6%
Consumer Retail Behavior Studies
4.39
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