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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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CUSTOMER PERCEPTIONS AND PREFERENCES: A COMPARATIVE ANALYSIS OF CHATBOTS AND HUMAN SUPPORT IN E-COMMERCE CUSTOMER SERVICE

Authors: Dr. Dey S.A.;

CUSTOMER PERCEPTIONS AND PREFERENCES: A COMPARATIVE ANALYSIS OF CHATBOTS AND HUMAN SUPPORT IN E-COMMERCE CUSTOMER SERVICE

Abstract

The rapid growth of e-commerce has significantly changed the retail landscape, prompting businesses to prioritize customer service improvement. To achieve this, organizations are increasingly using technology, particularly artificial intelligence. One of the most prominent advancements in this sphere is the extensive adoption of chatbots alongside human support to assist customers. While both chatbots and human agents offer diverse advantages and face unique challenges, this study aims to explore customer preferences when seeking assistance in e-commerce. The study focuses on understanding how customers perceive the effectiveness of chatbots and human support in resolving their queries. It also intends to measure customer satisfaction levels based on their experiences with both chatbots and human agents and identifying key areas for improvement to enhance customer interactions and service quality. In order to analyse these aspects, both primary and secondary data were collected. A total of 155 responses were gathered through an e-survey using the Convenience Sampling technique. The findings highlight the necessity for businesses to strike a balance between automation and human intervention. While chatbots provide efficiency and instant responses, human support remains crucial for handling complex issues and personalized interactions. To enhance customer experience, businesses must focus on improving chatbot accuracy, reliability, and personalization while ensuring seamless collaboration between AI-driven solutions and human agents.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green