Evaluating the Effectiveness of AI Chatbots on Website Performance

Santhosh Balassoupramanien & Ganapathy Ponnambalam Arul

AIMS International Journal of Management2025https://doi.org/10.26573/2025.19.3.2article
ABDC C
Weight
0.50

What the paper says

The main purpose of the study remains to provide an overview of the benefits of AI chatbots-based websites compared to traditional websites using a comparative approach.Methodology: The study employed a mixed-methods approach to conduct the data analysis.A set of 200 respondents has been considered as the sample for the survey questionnaire conducted with the target of conducting Primary Quantitative Data Analysis.The close-ended questions were generated touching all the aspects related to the process of generating a Chatbot.Both the users of chatbot-enabled websites and the companies that use chatbots as customer service representatives were taken into consideration as samples.Results: The results of the study show that the users have a higher response in support of Chatbot-based website usage, and they do agree that chatbots have been working as a feasible way of exploring the processes regarding solving the issues related to the company tasks.On the other hand, the chatbot users have agreed that sometimes the chatbots are slow and their repetitive questions consume more time, and in cases where time is less for generating proper solutions, a higher chance of direct conversation with an agent from the company is required.Limitations: The study could conduct an interview-based solution generation method that would involve a primary qualitative data analysis to understand the company leaders' views regarding the use of AI chatbots.

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https://doi.org/https://doi.org/10.26573/2025.19.3.2

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@article{santhosh2025,
  title        = {{Evaluating the Effectiveness of AI Chatbots on Website Performance}},
  author       = {Santhosh Balassoupramanien & Ganapathy Ponnambalam Arul},
  journal      = {AIMS International Journal of Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.26573/2025.19.3.2},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.