Adversaries or Cross-Organization Co-workers? Exploring the Relationship between Gig Workers and Conventional Employees

This article explores how gig workers interact with more conventional employees. Drawing on original qualitative and quantitative data from Instacart shoppers and grocery store staff, this article shows how Instacart’s algorithmic management system pushes shoppers to mistreat in-store staff. Yet for...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Industrial & labor relations review 2024-01, Vol.77 (1), p.3-31
1. Verfasser: Maffie, Michael David
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 31
container_issue 1
container_start_page 3
container_title Industrial & labor relations review
container_volume 77
creator Maffie, Michael David
description This article explores how gig workers interact with more conventional employees. Drawing on original qualitative and quantitative data from Instacart shoppers and grocery store staff, this article shows how Instacart’s algorithmic management system pushes shoppers to mistreat in-store staff. Yet for shoppers who frequently interact with staff, the author finds they develop cooperative, cross-organization co-worker relationships. These relationships grant shoppers access to resources typically reserved for staff, allowing them to navigate the algorithmic constraints that Instacart places on them. Findings show that platform companies’ use of algorithmic management tools can spill over to negatively affect the working conditions of conventional workers; but also, that gig workers can improve their own conditions by building relationships with their conventional peers.
doi_str_mv 10.1177/00197939231194254
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2897430008</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_00197939231194254</sage_id><sourcerecordid>2897430008</sourcerecordid><originalsourceid>FETCH-LOGICAL-c402t-6f2544415fa2040bd2323b3921aa3cd9b9318aa00602bfd0fa0d29200443b15e3</originalsourceid><addsrcrecordid>eNp1kE9LwzAYh4MoOKcfwFvAc2f-tWlOMsqcwmAgit5K2qZdZtfUpNucn97UCjuIueSQ53nz_n4AXGM0wZjzW4Sw4IIKQjEWjITsBIwIjkhAOH47BaP-PeiBc3Dh3Br5wzgegf202CnrpNXKQWNhYo1zwdJWstFfstOmgYkJ9sa-e-oOzj7b2ljdVLBbKfik6h_ErXQLM9XtlWrgXFfwdeChbAqvNzvV9Jis4Wzj_YNS7hKclbJ26ur3HoOX-9lz8hAslvPHZLoIcoZIF0Slj8IYDktJEENZQSihmY-JpaR5ITJBcSwlQhEiWVmgUqKCCOLDMZrhUNExuBnmttZ8bJXr0rXZWr-KS0ksOKO-iNhTeKDyPr5VZdpavZH2kGKU9v2mf_r1DhwclZtGu6MRiyjkgiPskcmAOFmp48f_z_wG_XmFrQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2897430008</pqid></control><display><type>article</type><title>Adversaries or Cross-Organization Co-workers? Exploring the Relationship between Gig Workers and Conventional Employees</title><source>SAGE Complete A-Z List</source><source>HeinOnline Law Journal Library</source><source>Business Source Complete</source><source>Sociological Abstracts</source><creator>Maffie, Michael David</creator><creatorcontrib>Maffie, Michael David</creatorcontrib><description>This article explores how gig workers interact with more conventional employees. Drawing on original qualitative and quantitative data from Instacart shoppers and grocery store staff, this article shows how Instacart’s algorithmic management system pushes shoppers to mistreat in-store staff. Yet for shoppers who frequently interact with staff, the author finds they develop cooperative, cross-organization co-worker relationships. These relationships grant shoppers access to resources typically reserved for staff, allowing them to navigate the algorithmic constraints that Instacart places on them. Findings show that platform companies’ use of algorithmic management tools can spill over to negatively affect the working conditions of conventional workers; but also, that gig workers can improve their own conditions by building relationships with their conventional peers.</description><identifier>ISSN: 0019-7939</identifier><identifier>EISSN: 2162-271X</identifier><identifier>DOI: 10.1177/00197939231194254</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Algorithms ; Colleagues ; Data ; Employees ; Gig economy ; Workers ; Working conditions</subject><ispartof>Industrial &amp; labor relations review, 2024-01, Vol.77 (1), p.3-31</ispartof><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-6f2544415fa2040bd2323b3921aa3cd9b9318aa00602bfd0fa0d29200443b15e3</citedby><cites>FETCH-LOGICAL-c402t-6f2544415fa2040bd2323b3921aa3cd9b9318aa00602bfd0fa0d29200443b15e3</cites><orcidid>0000-0003-4794-1310</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/00197939231194254$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/00197939231194254$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,33751,43597,43598</link.rule.ids></links><search><creatorcontrib>Maffie, Michael David</creatorcontrib><title>Adversaries or Cross-Organization Co-workers? Exploring the Relationship between Gig Workers and Conventional Employees</title><title>Industrial &amp; labor relations review</title><description>This article explores how gig workers interact with more conventional employees. Drawing on original qualitative and quantitative data from Instacart shoppers and grocery store staff, this article shows how Instacart’s algorithmic management system pushes shoppers to mistreat in-store staff. Yet for shoppers who frequently interact with staff, the author finds they develop cooperative, cross-organization co-worker relationships. These relationships grant shoppers access to resources typically reserved for staff, allowing them to navigate the algorithmic constraints that Instacart places on them. Findings show that platform companies’ use of algorithmic management tools can spill over to negatively affect the working conditions of conventional workers; but also, that gig workers can improve their own conditions by building relationships with their conventional peers.</description><subject>Algorithms</subject><subject>Colleagues</subject><subject>Data</subject><subject>Employees</subject><subject>Gig economy</subject><subject>Workers</subject><subject>Working conditions</subject><issn>0019-7939</issn><issn>2162-271X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNp1kE9LwzAYh4MoOKcfwFvAc2f-tWlOMsqcwmAgit5K2qZdZtfUpNucn97UCjuIueSQ53nz_n4AXGM0wZjzW4Sw4IIKQjEWjITsBIwIjkhAOH47BaP-PeiBc3Dh3Br5wzgegf202CnrpNXKQWNhYo1zwdJWstFfstOmgYkJ9sa-e-oOzj7b2ljdVLBbKfik6h_ErXQLM9XtlWrgXFfwdeChbAqvNzvV9Jis4Wzj_YNS7hKclbJ26ur3HoOX-9lz8hAslvPHZLoIcoZIF0Slj8IYDktJEENZQSihmY-JpaR5ITJBcSwlQhEiWVmgUqKCCOLDMZrhUNExuBnmttZ8bJXr0rXZWr-KS0ksOKO-iNhTeKDyPr5VZdpavZH2kGKU9v2mf_r1DhwclZtGu6MRiyjkgiPskcmAOFmp48f_z_wG_XmFrQ</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Maffie, Michael David</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U4</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>WZK</scope><orcidid>https://orcid.org/0000-0003-4794-1310</orcidid></search><sort><creationdate>202401</creationdate><title>Adversaries or Cross-Organization Co-workers? Exploring the Relationship between Gig Workers and Conventional Employees</title><author>Maffie, Michael David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-6f2544415fa2040bd2323b3921aa3cd9b9318aa00602bfd0fa0d29200443b15e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Colleagues</topic><topic>Data</topic><topic>Employees</topic><topic>Gig economy</topic><topic>Workers</topic><topic>Working conditions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maffie, Michael David</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Industrial &amp; labor relations review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maffie, Michael David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adversaries or Cross-Organization Co-workers? Exploring the Relationship between Gig Workers and Conventional Employees</atitle><jtitle>Industrial &amp; labor relations review</jtitle><date>2024-01</date><risdate>2024</risdate><volume>77</volume><issue>1</issue><spage>3</spage><epage>31</epage><pages>3-31</pages><issn>0019-7939</issn><eissn>2162-271X</eissn><abstract>This article explores how gig workers interact with more conventional employees. Drawing on original qualitative and quantitative data from Instacart shoppers and grocery store staff, this article shows how Instacart’s algorithmic management system pushes shoppers to mistreat in-store staff. Yet for shoppers who frequently interact with staff, the author finds they develop cooperative, cross-organization co-worker relationships. These relationships grant shoppers access to resources typically reserved for staff, allowing them to navigate the algorithmic constraints that Instacart places on them. Findings show that platform companies’ use of algorithmic management tools can spill over to negatively affect the working conditions of conventional workers; but also, that gig workers can improve their own conditions by building relationships with their conventional peers.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/00197939231194254</doi><tpages>29</tpages><orcidid>https://orcid.org/0000-0003-4794-1310</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0019-7939
ispartof Industrial & labor relations review, 2024-01, Vol.77 (1), p.3-31
issn 0019-7939
2162-271X
language eng
recordid cdi_proquest_journals_2897430008
source SAGE Complete A-Z List; HeinOnline Law Journal Library; Business Source Complete; Sociological Abstracts
subjects Algorithms
Colleagues
Data
Employees
Gig economy
Workers
Working conditions
title Adversaries or Cross-Organization Co-workers? Exploring the Relationship between Gig Workers and Conventional Employees
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T14%3A52%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Adversaries%20or%20Cross-Organization%20Co-workers?%20Exploring%20the%20Relationship%20between%20Gig%20Workers%20and%20Conventional%20Employees&rft.jtitle=Industrial%20&%20labor%20relations%20review&rft.au=Maffie,%20Michael%20David&rft.date=2024-01&rft.volume=77&rft.issue=1&rft.spage=3&rft.epage=31&rft.pages=3-31&rft.issn=0019-7939&rft.eissn=2162-271X&rft_id=info:doi/10.1177/00197939231194254&rft_dat=%3Cproquest_cross%3E2897430008%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2897430008&rft_id=info:pmid/&rft_sage_id=10.1177_00197939231194254&rfr_iscdi=true