Towards a Research Ethics of Real-World Experimentation with Emerging Technology DOI Creative Commons
Joost Mollen

Journal of Responsible Technology, Год журнала: 2024, Номер unknown, С. 100098 - 100098

Опубликована: Окт. 1, 2024

Язык: Английский

The Making of the “Good Bad” Job: How Algorithmic Management Manufactures Consent Through Constant and Confined Choices DOI Creative Commons
Lindsey Cameron

Administrative Science Quarterly, Год журнала: 2024, Номер 69(2), С. 458 - 514

Опубликована: Март 14, 2024

This research explores how a new relation of production—the shift from human managers to algorithmic on digital platforms—manufactures workplace consent. While most has argued that the task standardization and surveillance accompany management will give rise quintessential “bad job” (Kalleberg, Reskin, Hudson, 2000; Kalleberg, 2011), I find that, surprisingly, many workers report liking finding choice while working under management. Drawing seven-year qualitative study largest sector in gig economy, ride-hailing industry, describe navigate being managed by an algorithm. begin showing algorithms segment work at multiple sites human–algorithm interactions this configuration process allows for more-frequent narrow choice. use two sets tactics. In engagement tactics, individuals generally follow nudges do not try get around system; deviance manipulate their input into system. behaviors associated with these tactics are practical opposites, they both elicit consent, or active, enthusiastic participation align efforts managerial interests, contribute seeing themselves as skillful agents. However, choice-based consent can mask more-structurally problematic elements work, contributing growing popularity what call “good bad” job.

Язык: Английский

Процитировано

31

Algorithmic Management in Organizations? From Edge Case to Center Stage DOI Creative Commons
Anne Keegan, Jeroen Meijerink

Annual Review of Organizational Psychology and Organizational Behavior, Год журнала: 2025, Номер 12(1), С. 395 - 422

Опубликована: Янв. 21, 2025

This article offers a comprehensive review of the literature on algorithmic management (AM), focusing insights from human resource (HRM), organizational psychology (OP), and behavior (OB). It examines how AM is conceptualized in contexts platform work gig economy, revealing unique challenges implications. functions as holistic system, primarily online labor platforms, where it creates gray zone which workers exist an ambiguous space, neither fully inside nor outside boundaries. strategically blurs lines between employees freelancers, allowing platforms to circumvent traditional employment regulations. As result, poses challenge for HRM, OP, OB scholars, whose frameworks typically rely clear distinctions freelancing, often overlooking complexities this zone. The identifies key themes emerging literature, highlighting impact both individuals organizations. reviews HRM systems, interlocking nature, dispersion new actors, strategic misalignment AM-based activities. Its careers surfaces role bosses, multi-actor signaling, identity that arise In conclusion, summarizes its findings proposes agenda future research. calls scholars engage with expanding shaped by platform-based ecosystems AM, urging them reconsider boundaries develop more nuanced approaches understanding evolving landscape.

Язык: Английский

Процитировано

3

The Social Effects of Entrepreneurship on Society and Some Potential Remedies: Four Provocations DOI Creative Commons
Tim Weiss, Robert Eberhart, Michael Lounsbury

и другие.

Journal of Management Inquiry, Год журнала: 2023, Номер 32(4), С. 251 - 277

Опубликована: Июнь 20, 2023

A rapidly growing research stream examines the social effects of entrepreneurship on society. This assesses rise as a dominant theme in society and studies how contributes to production acceptance socio-economic inequality regimes, problems, class power struggles, systemic inequities. In this article, scholars present new perspectives an organizational sociology-inspired agenda entrepreneurial capitalism detail potential remedies bound unfettered expansion narrow conception entrepreneurship. Taken together, essays put forward four central provocations: 1) reform study pedagogy by bringing humanities; 2) examine cultural phenomenon shaping society; 3) go beyond biases pedagogy; 4) explore alternative models capitalism. More scholarly work scrutinizing entrepreneurship–society nexus is urgently needed, these provide generative arguments toward further developing agenda.

Язык: Английский

Процитировано

27

Algorithmic management in the gig economy: A systematic review and research integration DOI Creative Commons
Imran Kadolkar, Sven Kepes, Mahesh Subramony

и другие.

Journal of Organizational Behavior, Год журнала: 2024, Номер unknown

Опубликована: Сен. 5, 2024

Summary Rapid growth in the gig economy has been facilitated by increased use of algorithmic management (AM) online platforms (OPs) coordinating work. There a concomitant increase scholarship related to AM across scientific domains (e.g., computer science, engineering, operations management, sociology, and law). However, this literature is fragmented with scholars disagreeing on conceptualization measurement AM, as well lack consensus dimensions influencing various worker‐related outcomes, mechanisms through which these influences are exerted, relevant boundary conditions. To address issues, we systematically reviewed academic disciplines workers using natural language processing (NLP)‐based topic modeling. Our analysis yielded 12 topics, integrate an input‐process‐output (IPO) framework illustrate differing effects outcomes. Based our findings, provide comprehensive definition including its key dimensions, highlight main mediating pathways individual impact Finally, roadmap for future research (GE) organizational behavior lens.

Язык: Английский

Процитировано

14

Blinded by “algo economicus”: Reflecting on the assumptions of algorithmic management research to move forward DOI Creative Commons
Laura Lamers, Jeroen Meijerink, Giorgio Rettagliata

и другие.

Human Resource Management, Год журнала: 2024, Номер 63(3), С. 413 - 426

Опубликована: Янв. 23, 2024

Abstract This paper reflects on the paradigmatic assumptions and ideologies that have shaped algorithmic management research. We identify two sets of assumptions: one about “ontology algorithms” (which holds human resource [HRM] algorithms are non‐human entities with material agency) management” HRM afford understands as a form control for maximizing economic/shareholder value). explain how these core underpin existing research algorithms, causing blind spots hinder new ways understanding studying management. After identifying unpacking spots, we offer avenues to overcome allowing future based ideological assumption grounds will help move scholarship further in significant ways.

Язык: Английский

Процитировано

12

Managing with Artificial Intelligence: An Integrative Framework DOI

Luis Hillebrand,

Sebastian Raisch,

Jonathan Schad

и другие.

Academy of Management Annals, Год журнала: 2025, Номер unknown

Опубликована: Янв. 8, 2025

Managing with artificial intelligence (AI) refers to humans' interaction algorithms performing managerial tasks in organizations. Two literatures exploring this interaction—human-AI collaboration (HAIC) and algorithmic management (AM)—have focused on distinct tasks: while HAIC examines executive decision-making, AM focuses control. This article presents a review of both identify opportunities for integration advancement. We observe that HAIC's AM's micro-level emphases different have resulted diverging conceptualizations context, agency, interaction, outcome. Adopting more encompassing systems lens, we unveil previously concealed linkages between AM, suggesting the two analyzed sides same phenomenon: explores how humans use AI manage, describes are managed by AI. develop an integrative framework elevates viewpoint from organizational individual collective local systemic multilevel outcomes. By employing framework, lay foundations perspective managing

Язык: Английский

Процитировано

2

Perceived algorithmic evaluation and app‐workers' service performance: The roles of flow experience and challenges of gig work DOI
Zhipeng Zhang, Guangjian Liu, Jialiang Pei

и другие.

Journal of Organizational Behavior, Год журнала: 2024, Номер unknown

Опубликована: Июль 17, 2024

Summary Algorithmic evaluations are becoming increasingly common among app‐workers. However, there is limited research on how app‐workers' perceptions of these (perceived algorithmic evaluation, or PAE) affect service performance. Our study addresses this gap in three ways: first, we introduce a new method to measure PAE Second, building flow theory, explore experience mediates the relationship between and Third, by integrating conservation resources theory examine viability challenges might reduce positive impact experience. Using both interviews surveys, our reveals that positively influences and, turn, their Notably, find when workers face more challenges, effects performance decrease. findings highlight importance evaluation shaping work experiences outcomes gig economy have significant theoretical practical implications.

Язык: Английский

Процитировано

9

Mobilizing New Sources of Data: Opportunities and Recommendations DOI
Denis A. Grégoire, Anne L. J. Ter Wal, Laura M. Little

и другие.

Academy of Management Journal, Год журнала: 2024, Номер 67(2), С. 289 - 298

Опубликована: Апрель 1, 2024

Язык: Английский

Процитировано

8

Survivalist Organizing in Urban Poverty Contexts DOI
Tim Weiss, Michael Lounsbury, Garry D. Bruton

и другие.

Organization Science, Год журнала: 2024, Номер 35(5), С. 1608 - 1640

Опубликована: Фев. 27, 2024

Institutional scholarship on organizing in poverty contexts has focused the constraining nature of extant institutions and need for external actors to make transformative change interventions alleviate poverty. Comparatively little attention been paid potentially enabling contexts. We argue that more empirical work is needed deepen our understanding self-organizing processes embedded such generate their own efforts survive. Drawing social worlds approach institutional analysis, we shed light how self-organize produce enduring organizational arrangements safeguard themselves against adverse outcomes. Employing data from fieldwork interviews collected urban neighborhood Dagoretti Corner Nairobi, Kenya, examine colocation 105 largely identical auto repair businesses close spatial proximity. find leverage an indigenous institution—the societal ethos Harambee—to enable a process identify as “survivalist organizing.” Based research, survivalist incorporates four interlocking survival mechanisms: cultivating interbusiness solidarity, maintaining precarious relationships, redistributing resources prevent business deaths, generating collective philanthropy avoid personal destitution. develop new research agenda study strengthening rather than supplanting urbanized catalyze self-organizing. Funding: This was supported by China National Science Foundation [Grants 72091310 72091315].

Язык: Английский

Процитировано

6

Visible hands: How gig companies shape workers' exposure to market risk DOI Creative Commons
Michael Maffie

Industrial Relations A Journal of Economy and Society, Год журнала: 2023, Номер 63(1), С. 59 - 79

Опубликована: Июнь 14, 2023

Abstract How do gig platforms prevent workers from defecting to a competitor? Drawing on 40 original interviews and survey data 210 ride‐hail drivers, the author finds that platform companies calibrate workers' exposure market risk using gamified reward systems. These rewards protect compliant changes in conditions, raising costs of accepting work competitor. Yet those who not comply are “pushed” periphery, increasing their risk. This article illustrates how can use “visible hands” harness control forces, shaping worker behavior within across platforms.

Язык: Английский

Процитировано

13