{"title":"Artificial Intelligence In Strengthening The Operations Of Ecommerce Based Business","authors":"P. Desai, Krutrth Ganatra","doi":"10.1109/irtm54583.2022.9791598","DOIUrl":null,"url":null,"abstract":"Disruptive technologies similar as the internet of effects, big data analytics, block chain, and artificial intelligence have changed the ways businesses operate. Of all the disruptive technologies, artificial intelligence (AI) is the rearmost technological change agent and holds immense marketing metamorphosis eventuality. Interpreters worldwide are trying to figure out the stylish fit AI results for their marketing functions. Still, a methodical literature review can punctuate the significance of artificial intelligence (AI) in marketing and map future exploration directions. The present study aims to offer a comprehensive review of AI in marketing using bibliometric, abstract and intellectual network analysis of extant literature published between 1982 and 2020. A comprehensive review of one thousand five hundred and eighty papers helped to identify the scientific actors' performance like utmost applicable authors and utmost applicable sources. Likewise, co-citation and co-occurrence analysis offered the abstract and intellectual network. Data clustering using the Louvain algorithm helped identify exploration sub-themes and unborn exploration directions to expand AI in marketing. The operations of artificial intelligence in e-commerce showed further details with numerous practical exemplifications from Amazon.com. The company is an important transnational-retailer that's using artificial intelligence ways for online shopping. In this part, it was shown how Amazon has used artificial intelligence in e-commerce; how Amazon's guests have achieved better experience and anticipation when copping online through artificial intelligence in e-commerce ways and the future of Amazon how to carry out online business successfully. In conclusion, artificial intelligence obviously affects a lot in the world and mortal life. In this thesis, the way how artificial intelligence is changing business in e-commerce assiduity can be seen more deeply.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Interdisciplinary Research in Technology and Management (IRTM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/irtm54583.2022.9791598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Disruptive technologies similar as the internet of effects, big data analytics, block chain, and artificial intelligence have changed the ways businesses operate. Of all the disruptive technologies, artificial intelligence (AI) is the rearmost technological change agent and holds immense marketing metamorphosis eventuality. Interpreters worldwide are trying to figure out the stylish fit AI results for their marketing functions. Still, a methodical literature review can punctuate the significance of artificial intelligence (AI) in marketing and map future exploration directions. The present study aims to offer a comprehensive review of AI in marketing using bibliometric, abstract and intellectual network analysis of extant literature published between 1982 and 2020. A comprehensive review of one thousand five hundred and eighty papers helped to identify the scientific actors' performance like utmost applicable authors and utmost applicable sources. Likewise, co-citation and co-occurrence analysis offered the abstract and intellectual network. Data clustering using the Louvain algorithm helped identify exploration sub-themes and unborn exploration directions to expand AI in marketing. The operations of artificial intelligence in e-commerce showed further details with numerous practical exemplifications from Amazon.com. The company is an important transnational-retailer that's using artificial intelligence ways for online shopping. In this part, it was shown how Amazon has used artificial intelligence in e-commerce; how Amazon's guests have achieved better experience and anticipation when copping online through artificial intelligence in e-commerce ways and the future of Amazon how to carry out online business successfully. In conclusion, artificial intelligence obviously affects a lot in the world and mortal life. In this thesis, the way how artificial intelligence is changing business in e-commerce assiduity can be seen more deeply.