algorithmic management Concepts

Empire of the Fund: The Way We Save Now

by William A. Birdthistle · 15 May 2016 · 375pp · 106,189 words

Leadership by Algorithm: Who Leads and Who Follows in the AI Era?

by David de Cremer · 25 May 2020 · 241pp · 70,307 words

so, technology like blockchain will indeed become part of our management systems very soon. Management by algorithm But, to answer the question of whether the algorithmic manager will wake up soon, let us return again to how we defined management. As I explained earlier, the purpose of management is to ensure that

Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media

by Tarleton Gillespie · 25 Jun 2018 · 390pp · 109,519 words

their employees, often without the users’ consent. Social media platforms can incorporate the logic of filtering to a much more sophisticated degree. Platforms are intricate, algorithmically managed visibility machines.20 They grant and organize visibility, not just by policy but by design: sorting and delivering information in the form of profiles, news

Human + Machine: Reimagining Work in the Age of AI

by Paul R. Daugherty and H. James Wilson · 15 Jan 2018 · 523pp · 61,179 words

zone in a car is meant to protect the human driver, the moral crumple zone protects the integrity of the technological system, itself.14 For algorithmically-managed crowd platforms, human operators can also become “liability sponges,” getting bad feedback from a customer when it’s really the system’s fault, for instance

After the Gig: How the Sharing Economy Got Hijacked and How to Win It Back

by Juliet Schor, William Attwood-Charles and Mehmet Cansoy · 15 Mar 2020 · 296pp · 83,254 words

are explained by how dependent the worker is on income from the platform to pay basic living expenses. The two dominant approaches to platform work—algorithmic management and the precariousness of independent contracting—have largely failed to account for this diversity of outcomes and its significance. That means they have also missed

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affords workers discretion.82 Cameron finds that drivers have “contingent autonomy.”83 Alex Wood and colleagues, who studied microtasking, describe “autonomy in the shadow of algorithmic management.”84 While we find more worker sovereignty on the more lucrative platforms, the sector as a whole differs from conventional workplaces in this regard. Earners

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, CA: Airbnb. https://press.airbnb.com/wp-content/uploads/sites/4/2018/08/PC0470_TeachersReport_180814B.pdf. Allen-Robertson, James. 2017. “The Uber Game: Exploring Algorithmic Management and Resistance.” http://repository.essex.ac.uk/20603/. Ameri, Mason, Sean Rogers, Lisa Schur, and Douglas Kruse. 2019. “No Room at the Inn? Disability Access

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–95 retreat from control, 43, 76–81 Rich, 59 Richardson, Lizzie, 193 ride-hailing, 26, 31, 34–37. See also Lyft; Uber; access to, 46; algorithmic management, 66, 68, 159; business model, 151; deactivation, 63, 92; dependent earners, 62–63; discrimination, 87; driver experience, 54–55; externalities, 155; hourly wages, 73; and

Hello World: Being Human in the Age of Algorithms

by Hannah Fry · 17 Sep 2018 · 296pp · 78,631 words

Futureproof: 9 Rules for Humans in the Age of Automation

by Kevin Roose · 9 Mar 2021 · 208pp · 57,602 words

Uber and Lyft have dispensed with the idea of human supervision altogether, putting decisions like pay, dispatching, and dispute resolution in the hands of algorithms. Algorithmic management has become a lucrative industry. In addition to Cogito, there are also retail-oriented AI companies like Percolata, a Silicon Valley start-up that counts

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failing to show empathy. “Sometimes it pops up and I just leave it, because I know I’m doing it right,” he said. Defenders of algorithmic management often point out, correctly, that many human bosses have flaws of their own. They make rash decisions. They violate boundaries and play favorites. They can

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and complaining about its effects on their channels. A 2019 study of Uber drivers found that many of them felt frustrated and dehumanized by their algorithmic management structure, in which everything from their wages to their performance ratings was determined by opaque, inscrutable machines. Many drivers, the study found, had resorted to

Rise of the Robots: Technology and the Threat of a Jobless Future

by Martin Ford · 4 May 2015 · 484pp · 104,873 words

Design of Business: Why Design Thinking Is the Next Competitive Advantage

by Roger L. Martin · 15 Feb 2009

Humans as a Service: The Promise and Perils of Work in the Gig Economy

by Jeremias Prassl · 7 May 2018 · 491pp · 77,650 words

transparency or accountability. As Judge Chen put it, citing Michel Foucault, ‘a state of conscious and permanent visibility . . . assures the automatic functioning of power’.19 Algorithmic Management ‘On the Internet,’ a 1993 New Yorker cartoon suggested, ‘nobody knows you’re a dog.’ In the on-demand economy, it seems that platforms want

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the reality of work in the on-demand economy, we saw how tight control over all aspects of service delivery was the very hallmark of algorithmic management. Employment classification should be quite straightforward, then: when a platform controls everything from which tasks are assigned to how they are performed and paid, surely

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Platforms, Freelancing Entrepreneurs Shaping Regulation Entrepreneurship and Innovation Rethinking Employment Regulation Scrutinizing the Narratives 3. Lost in the Crowd Life as a Micro-Entrepreneur Autonomy? Algorithmic Management The Wages of Entrepreneurship Sanctions Self-Determination? Freedom? Entrepreneurship . . . or an On-Demand Trap? 4. The Innovation Paradox Nothing New under the Sun Back to