Digital payments and relational embedding: Turning relations into data and data into relations.
Research on the digital economy has highlighted the assetization of data. This article argues for expanding existing research on data and datafication processes by focusing on how relationships are made and unmade through and from data. We introduce a general analytic model of "relationing" and show...
| Publicado en: | Big Data & Society Vol. 11; no. 3; pp. 1 - 11 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sage Publications Inc.
Jul-Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=178879269&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 178879269 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 20539517 KG5N jtl: Big Data & Society issn: 20539517 maglogo: Y pubinfo: dt: Jul-Sep2024 vid: 11 iid: 3 pid: 344 pub: Sage Publications Inc. artinfo: ui: 178879269 10.1177/20539517241266432 ppf: 1 ppct: 10 formats: tig: atl: Digital payments and relational embedding: Turning relations into data and data into relations. aug: au: Mützel, Sophie Unternährer, Markus affil: Department of Sociology, 30731 University of Lucerne, Switzerland sug: keyword: digital economy Payments personalization relations transactional data valuation ab: Research on the digital economy has highlighted the assetization of data. This article argues for expanding existing research on data and datafication processes by focusing on how relationships are made and unmade through and from data. We introduce a general analytic model of "relationing" and show how relationships between users, companies, and products are created in three different moments—entanglement, dissection, and matching—first in the digital economy, then in physical stores. We show how payments with mobile phones connect the digital to the brick-and-mortar economy. Applying our model, we illustrate how a mobile phone's various data streams, money's record-keeping function, and retailers' loyalty programs produce qualitatively and quantitatively new relations between customers, retailers, banks, app providers, and payment intermediaries. We argue that "relational embedding" captures the inherent relationality between users, their data points, and other economic actors: algorithmically relating users' data profiles to other users' profiles yields personalized recommendations, ads, or rebates, continuing the relationship between retailers and customers. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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