What are you looking for today?

Graham, Gary, Nisar, Tahir, Prabhakar, Guru and Meriton, Royston (2025) Chatbots in customer service within banking and finance: Do chatbots herald the start of an AI revolution in the corporate world? Computers in Human Behavior, 165. p. 971. ISSN 0747-5632

Document

  • [thumbnail of Chatbots in Customer Service within Banking and Finance.pdf]
    Chatbots in Customer Service within Banking and Finance.pdf
    Available under License Creative Commons Attribution.
  • [thumbnail of 1-s2.0-S0747563225000172-main.pdf]
    1-s2.0-S0747563225000172-main.pdf

Abstract

Abstract

The main aim of this paper is to identify whether chatbots are useful for customer service, how they are impacting customer service in banking, and how professionals feel about the future impact of chatbots. Employing a largely qualitative approach, the study found that chatbots are a useful tool for customer service automation, with significant potential for providing good quality service. In general, sentiments towards chatbots were positive for simple tasks, with users and experts citing convenience, 24/7 availability, and speed as primary factors driving customer satisfaction levels. However, the limitations of chatbots in answer accuracy and reliability mean that they still require significant learning and development to be a sufficient solution for complex customer service problems. Chatbots are significantly limited in their capabilities and ability to parse customer queries. Therefore, they cannot be expected to handle all customer queries without some assistance from a human. On the other hand, chatbots have huge potential for learning, and artificial intelligence as a field presents a largely untapped universe of opportunity. This study thus highlights how chatbots are currently being used and how they are likely to be used in the future. Based on these findings, we develop an experimental framework that explains how to assess chatbots for dynamic customer service capabilities.

Item Type: Article
Depositing User: Royston Meriton
URI: https://sure.sunderland.ac.uk/id/eprint/18903

Further Details

More Information

Depositing User

Identifiers

Item ID
18903
Identification Number
ISSN
0747-5632

Users with ORCIDS

Catalogue record

Date Deposited
28 Mar 2025 10:23
Last Modified
26 Nov 2025 09:10

Contributors

Author
Gary Graham
Author
Tahir Nisar
Author
Guru Prabhakar
Author
Royston Meriton

University Divisions

Subjects

Actions (login required)

View Item (Repository Staff Only)

Downloads per month over past year