Paper Title

A STUDY ON CHATBOT USER EXPERIENCE IN THE TEXTILE SECTOR

Article Identifiers

Registration ID: IJNRD_205133

Published ID: IJNRD2309406

DOI: Click Here to Get

Authors

Dr. Soonu Aravindan J

Keywords

Chatbot, Utilization, User Experience, Response, Personalization

Abstract

This study investigates the user experience with chatbots in the textile industry, focusing on aspects such as utilization, satisfaction, response times, encountered issues, personalization, speed, tracking, and usage duration. Data was collected through a questionnaire distributed to 74 individuals using the snowball sampling technique. The findings reveal that more than half of the respondents have interacted with chatbots related to textiles, and they express favourable perceptions regarding these chatbots' ability to provide information, respond promptly, and personalize interactions. Additionally, the majority of respondents believe that chatbots expedite issue resolution. Gender differences are minimal, except in the context of tracking textile orders. Overall, respondents hold positive views regarding the performance of chatbots in the textile industry for customer service and engagement.

How To Cite

"A STUDY ON CHATBOT USER EXPERIENCE IN THE TEXTILE SECTOR", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 9, page no.e54-e58, September-2023, Available :https://ijnrd.org/papers/IJNRD2309406.pdf

Issue

Volume 8 Issue 9, September-2023

Pages : e54-e58

Other Publication Details

Paper Reg. ID: IJNRD_205133

Published Paper Id: IJNRD2309406

Downloads: 000121124

Research Area: Management

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309406.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309406

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area