Artificial Intelligence, Blockchain, Machine Learning, and Customer Relationship Management
Main Authors: | Idian, Maria Joy I., Hassan, Mohummad Kamrul, Terzungwe , Akaa Samuel |
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Format: | Article info application/pdf Journal |
Bahasa: | eng |
Terbitan: |
The Indonesian Institute of Science and Technology Research
, 2023
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Subjects: | |
Online Access: |
https://journal.iistr.org/index.php/BST/article/view/276 https://journal.iistr.org/index.php/BST/article/view/276/206 |
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article-276 |
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fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Artificial Intelligence, Blockchain, Machine Learning, and Customer Relationship Management</title><creator>Idian, Maria Joy I.</creator><creator>Hassan, Mohummad Kamrul</creator><creator>Terzungwe , Akaa Samuel</creator><subject lang="en-US">Artificial Intelligence</subject><subject lang="en-US">Blockchain</subject><subject lang="en-US">Customer Relationship Management</subject><subject lang="en-US">Machine Learning</subject><description lang="en-US">This article discusses the utilization of technology, particularly artificial intelligence (AI) and blockchain, in customer relationship management (CRM). The use of technology in CRM helps companies improve customer experience, maximize customer value, and make better business decisions. AI plays a crucial role in managing CRM by collecting, analyzing and personalizing customer data, predicting customer decisions, and creating chatbots. Blockchain improves the transparency, security and accuracy of customer information stored in CRM. Research data shows that the combination of AI and blockchain in CRM can lead to increased business efficiency, improved customer experience, revenue increase, improved data security and increased transparency of customer information.</description><publisher lang="en-US">The Indonesian Institute of Science and Technology Research</publisher><date>2023-03-02</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>https://journal.iistr.org/index.php/BST/article/view/276</identifier><identifier>10.56741/bst.v2i01.276</identifier><source lang="en-US">Bincang Sains dan Teknologi; Vol. 2 No. 01 (2023): Bincang Sains dan Teknologi; 16-20</source><source>2961-8746</source><source>2961-8932</source><source>10.56741/bst.v2i01</source><language>eng</language><relation>https://journal.iistr.org/index.php/BST/article/view/276/206</relation><rights lang="en-US">Copyright (c) 2023 Maria Joy I. Idian, Mohummad Kamrul Hassan, Akaa Samuel Terzungwe</rights><rights lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</rights><recordID>article-276</recordID></dc>
|
language |
eng |
format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other File:application/pdf File Journal:Journal |
author |
Idian, Maria Joy I. Hassan, Mohummad Kamrul Terzungwe , Akaa Samuel |
title |
Artificial Intelligence, Blockchain, Machine Learning, and Customer Relationship Management |
publisher |
The Indonesian Institute of Science and Technology Research |
publishDate |
2023 |
topic |
Artificial Intelligence Blockchain Customer Relationship Management Machine Learning |
url |
https://journal.iistr.org/index.php/BST/article/view/276 https://journal.iistr.org/index.php/BST/article/view/276/206 |
contents |
This article discusses the utilization of technology, particularly artificial intelligence (AI) and blockchain, in customer relationship management (CRM). The use of technology in CRM helps companies improve customer experience, maximize customer value, and make better business decisions. AI plays a crucial role in managing CRM by collecting, analyzing and personalizing customer data, predicting customer decisions, and creating chatbots. Blockchain improves the transparency, security and accuracy of customer information stored in CRM. Research data shows that the combination of AI and blockchain in CRM can lead to increased business efficiency, improved customer experience, revenue increase, improved data security and increased transparency of customer information. |
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IOS20047.article-276 |
institution |
Indonesian Institute of Science and Technology Research |
institution_id |
10707 |
institution_type |
library:public library |
library |
Indonesian Institute of Science and Technology Research (IISTR) |
library_id |
7954 |
collection |
Bincang Sains dan Teknologi |
repository_id |
20047 |
subject_area |
Engineering in General Engineering Education Computer Science Information Theory |
city |
KOTA YOGYAKARTA |
province |
DAERAH ISTIMEWA YOGYAKARTA |
repoId |
IOS20047 |
first_indexed |
2024-06-11T02:57:49Z |
last_indexed |
2024-06-11T02:57:49Z |
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dc |
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1801532086641754112 |
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9.9049015 |