Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91745
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Management and Marketing | en_US |
dc.creator | Ngai, EWT | en_US |
dc.creator | Lee, MCM | en_US |
dc.creator | Luo, M | en_US |
dc.creator | Chan, PSL | en_US |
dc.creator | Liang, T | en_US |
dc.date.accessioned | 2021-12-10T00:57:07Z | - |
dc.date.available | 2021-12-10T00:57:07Z | - |
dc.identifier.issn | 1567-4223 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/91745 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2021 Elsevier B.V. All rights reserved. | en_US |
dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
dc.rights | The following publication Ngai, E. W. T., Lee, M. C. M., Luo, M., Chan, P. S. L., & Liang, T. (2021). An intelligent knowledge-based chatbot for customer service. Electronic Commerce Research and Applications, 50, 101098 is available at https://dx.doi.org/10.1016/j.elerap.2021.101098. | en_US |
dc.subject | Case analysis | en_US |
dc.subject | Chatbot | en_US |
dc.subject | Conversational agent | en_US |
dc.subject | Knowledge-based system | en_US |
dc.subject | System design | en_US |
dc.title | An intelligent knowledge-based chatbot for customer service | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 50 | en_US |
dc.identifier.doi | 10.1016/j.elerap.2021.101098 | en_US |
dcterms.abstract | This study proposes an intelligent knowledge-based conversational agent system architecture to support customer services in e-commerce sales and marketing. A pilot implementation of a chatbot for customer services is reported in a leading women's intimate apparel manufacturing firm. The proposed system incorporates various emerging technologies, including web crawling, natural language processing, knowledge bases, and artificial intelligence. In this study, a prototype system is built in a real-world setting. The results of the system prototype evaluation are satisfactory and support the contention that the system is effective. The study also discusses the challenges and lessons learned during system implementation and the theoretical and managerial implications of this study. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Electronic commerce research and applications, Nov.-Dec. 2021, v. 50, 101098 | en_US |
dcterms.isPartOf | Electronic commerce research and applications | en_US |
dcterms.issued | 2021-11 | - |
dc.identifier.scopus | 2-s2.0-85119699964 | - |
dc.identifier.eissn | 1873-7846 | en_US |
dc.identifier.artn | 101098 | en_US |
dc.description.validate | 202112 bcvc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1097-n01 | - |
dc.identifier.SubFormID | 43933 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | The first author was supported in part by The Hong Kong Polytechnic University under a grant number ZVK9. | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Ngai_Intelligent_Knowledge-Based_Chatbot.pdf | Pre-Published version | 1.33 MB | Adobe PDF | View/Open |
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