{"title":"信用营销中的算法分类:营销如何塑造不平等","authors":"Léna Pellandini-Simányi","doi":"10.1177/14705931231160828","DOIUrl":null,"url":null,"abstract":"<p><p>While critical marketing studies have discussed algorithm-driven marketing's role in governmentality, subjectivity formation and capitalist accumulation, its role in shaping class inequalities is less studied. Drawing on the performativity of marketing, 'classification situations' and critical algorithm studies, this paper uses the case of credit marketing to propose a twofold framework to analyse how algorithmic marketing shapes the cultural and economic inequalities of class. First, algorithms used for categorizing consumers and matching them with marketing messages and products provide access (1) to different symbolic resources and (2) to credit products with different financial consequences to different consumers depending on their categorization, which contribute to the creation of cultural and economic inequalities, respectively. Second, algorithms of financial advice devices overtake parts of consumer choice. Insofar as different financial preferences and rationalities are scripted into the devices for different client groups, these technologies constitute an additional process that affects social divisions.</p>","PeriodicalId":48020,"journal":{"name":"Marketing Theory","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11106845/pdf/","citationCount":"0","resultStr":"{\"title\":\"Algorithmic classifications in credit marketing: How marketing shapes inequalities.\",\"authors\":\"Léna Pellandini-Simányi\",\"doi\":\"10.1177/14705931231160828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>While critical marketing studies have discussed algorithm-driven marketing's role in governmentality, subjectivity formation and capitalist accumulation, its role in shaping class inequalities is less studied. Drawing on the performativity of marketing, 'classification situations' and critical algorithm studies, this paper uses the case of credit marketing to propose a twofold framework to analyse how algorithmic marketing shapes the cultural and economic inequalities of class. First, algorithms used for categorizing consumers and matching them with marketing messages and products provide access (1) to different symbolic resources and (2) to credit products with different financial consequences to different consumers depending on their categorization, which contribute to the creation of cultural and economic inequalities, respectively. Second, algorithms of financial advice devices overtake parts of consumer choice. Insofar as different financial preferences and rationalities are scripted into the devices for different client groups, these technologies constitute an additional process that affects social divisions.</p>\",\"PeriodicalId\":48020,\"journal\":{\"name\":\"Marketing Theory\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11106845/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marketing Theory\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/14705931231160828\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/2/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marketing Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/14705931231160828","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/2/28 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Algorithmic classifications in credit marketing: How marketing shapes inequalities.
While critical marketing studies have discussed algorithm-driven marketing's role in governmentality, subjectivity formation and capitalist accumulation, its role in shaping class inequalities is less studied. Drawing on the performativity of marketing, 'classification situations' and critical algorithm studies, this paper uses the case of credit marketing to propose a twofold framework to analyse how algorithmic marketing shapes the cultural and economic inequalities of class. First, algorithms used for categorizing consumers and matching them with marketing messages and products provide access (1) to different symbolic resources and (2) to credit products with different financial consequences to different consumers depending on their categorization, which contribute to the creation of cultural and economic inequalities, respectively. Second, algorithms of financial advice devices overtake parts of consumer choice. Insofar as different financial preferences and rationalities are scripted into the devices for different client groups, these technologies constitute an additional process that affects social divisions.
期刊介绍:
Marketing Theory provides a fully peer reviewed specialised academic medium and main reference for the development and dissemination of alternative and critical perspectives on marketing theory. A growing number of researchers and management practitioners who believe that conventional marketing theory is often ill suited to the challenges of the modern business environment. The aim of Marketing Theory is to create a high quality, specialist outlet for management and social scientists who are committed to developing and reformulating marketing as an academic discipline by critically analysing existing theory. The journal promotes an ethos that is explicitly theory driven; international in scope and vision; open, reflexive, imaginative and critical; and interdisciplinary.