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While algorithmic management has been observed primarily within the platform-mediated gig economy, its transformative reach and consequences are also spreading to more standard work settings. Exploring algorithmic management as a sociotechnical concept, which reflects both technological infrastructures and organizational choices, we discuss how algorithmic management may influence existing power and social structures within organizations. We identify three key issues. First, we explore how algorithmic management shapes pre-existing power dynamics between workers and managers. Second, we discuss how algorithmic management demands new roles and competencies while also fostering oppositional attitudes toward algorithms. Third, we explain how algorithmic management impacts knowledge and information exchange within an organization, unpacking the concept of opacity on both a technical and organizational level. We conclude by situating this piece in broader discussions on the future of work, accountability, and identifying future research steps.<\/jats:p>","DOI":"10.1177\/20539517211020332","type":"journal-article","created":{"date-parts":[[2021,7,2]],"date-time":"2021-07-02T02:47:20Z","timestamp":1625194040000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":365,"title":["Algorithmic management in a work context"],"prefix":"10.1177","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5685-7156","authenticated-orcid":false,"given":"Mohammad Hossein","family":"Jarrahi","sequence":"first","affiliation":[{"name":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0851-384X","authenticated-orcid":false,"given":"Gemma","family":"Newlands","sequence":"additional","affiliation":[{"name":"Bi Norwegian Business School, Oslo, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2696-6546","authenticated-orcid":false,"given":"Min Kyung","family":"Lee","sequence":"additional","affiliation":[{"name":"The University of Texas at Austin, Austin, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christine T.","family":"Wolf","sequence":"additional","affiliation":[{"name":"Independent Researcher, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eliscia","family":"Kinder","sequence":"additional","affiliation":[{"name":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3731-3129","authenticated-orcid":false,"given":"Will","family":"Sutherland","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2021,7,1]]},"reference":[{"key":"bibr1-20539517211020332","doi-asserted-by":"publisher","DOI":"10.1111\/1748-8583.12250"},{"key":"bibr2-20539517211020332","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"bibr3-20539517211020332","doi-asserted-by":"publisher","DOI":"10.1177\/1350508419855714"},{"key":"bibr4-20539517211020332","unstructured":"Bersin J, Zao-Sanders M (2020) Boost your team\u2019s data literacy.\n                      Harvard Business Review\n                      , 12 February. 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