Generating, Grading, and Ghosting: How Organizing Experts Shapes Expertise DOI Creative Commons
Pedro Monteiro

Journal of Management Studies, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 22, 2024

Abstract Experts increasingly refine their expertise into specialties as they labour in and around organizations. Yet, previous research assumes that experts are organized the workplace ways passively accommodate or mirror pre‐existing focuses on organizational structures codify content of experts’ knowledge an encroachment. Drawing a qualitative field study aeronautical organization's engineering unit, this paper examines chart area knowledge, i.e., specialties. The findings show generative, defining contours existing catalysing formation new ones ( generating ). However, also encode criteria implicitly rank some forms over others, thereby reinforcing status hierarchies grading ), misalignment across renders invisible ghosting By showing active role shaping rather than simply housing it, contributes to our understanding development well dynamics access resources among experts. Further, reveals how misalignments multiple may impact management human capital.

Language: Английский

From worker empowerment to managerial control: The devolution of AI tools' intended positive implementation to their negative consequences DOI
Emmanuel Monod, Anne‐Sophie Mayer, Detmar W. Straub

et al.

Information and Organization, Journal Year: 2023, Volume and Issue: 34(1), P. 100498 - 100498

Published: Dec. 14, 2023

Language: Английский

Citations

10

What We Do in the Shadows: How expert workers reclaim control in digitalized and centralized organizations through ‘stealth work’ DOI Creative Commons
Peter Kalum Schou, Torstein Nesheim

Organization Studies, Journal Year: 2024, Volume and Issue: 45(5), P. 719 - 744

Published: Feb. 10, 2024

Organizations often depend on experts to carry out complex tasks that require specialized or tacit knowledge. Yet, organizations want increase their control over how are performed and thus reduce the autonomy of experts. In past, scholars have argued had ability rebuff organizational attempts them. However, in an era with increased digitalization centralization organizations, risk losing control. How react when facing this is not well understood. Thus, study seeks improve knowledge as digitalize centralize tasks. To do so, we studied a large energy company, which sought its expert engineers by implementing change included digital Using in-depth interviews, portray workers reclaimed using three micro-level tactics – strategic compliance workaround, legacy reclaim concealing Based these findings, our paper makes contributions literature First, provide concept ‘stealth work’, outlining can otherwise stripped them status power. Second, highlight may be nested legacy, use digitalization, finally, engage small hacks curb usefulness systems.

Language: Английский

Citations

3

Trajectories of legal work in the context of machine learning AI: conceptualising mediated evolution DOI Creative Commons
James Faulconbridge

International Journal of the Legal Profession, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: Feb. 13, 2025

This paper explores the impacts of machine learning (ML), as one form artificial intelligence, on legal work by examining three questions. First, it considers trajectories and how ML is being used in work. Actually existing use cases are examined to reveal changing Second, questions about barriers that standing way different trajectories, with more rapid adoption tried tested forms some radical changes have been predicted contingent a range factors. Third, this evolution might change spaces profession. It examines both what do reconfigure role lawyer within law firms other spaces, lawyers respond professional project adapts challenge intelligence. Through analysis develops concept mediated which conceptualising material meaningful, but also path dependent non-linear thus needs be understood through situated enactment practice change.

Language: Английский

Citations

0

Big Data, Proxies, Algorithmic Decision‐Making and the Future of Management Theory DOI
Dirk Lindebaum, Christine Möser, Gazi Islam

et al.

Journal of Management Studies, Journal Year: 2023, Volume and Issue: 61(6), P. 2724 - 2747

Published: Dec. 20, 2023

Abstract The future of theory in the age big data and algorithms is a frequent topic management research. However, with corporate ownership processing capabilities designed for profit generation increasing rapidly, we witness shift from scientific to ‘corporate empiricism’. Building on this debate, our ‘Point’ essay argues that theorizing research at risk now . Unlike ‘Counterpoint’ article, which portrays bright given available technological opportunities, are concerned about researchers increasingly ‘borrowing’ realm (e.g., Google et al.) build or test theory. Our objection borrowing can harm due how scaling effects, proxy measures algorithmic decision‐making performatively combine undermine validity theories. This undermining occurs through reducing explanations, while technology shapes reality profit‐predicting rather than truth‐seeking manner. has meta‐theoretical implications per se, as well political debates concerning jurisdiction legitimacy knowledge claims Practically, these connect responsibilities researchers.

Language: Английский

Citations

9

Generating, Grading, and Ghosting: How Organizing Experts Shapes Expertise DOI Creative Commons
Pedro Monteiro

Journal of Management Studies, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 22, 2024

Abstract Experts increasingly refine their expertise into specialties as they labour in and around organizations. Yet, previous research assumes that experts are organized the workplace ways passively accommodate or mirror pre‐existing focuses on organizational structures codify content of experts’ knowledge an encroachment. Drawing a qualitative field study aeronautical organization's engineering unit, this paper examines chart area knowledge, i.e., specialties. The findings show generative, defining contours existing catalysing formation new ones ( generating ). However, also encode criteria implicitly rank some forms over others, thereby reinforcing status hierarchies grading ), misalignment across renders invisible ghosting By showing active role shaping rather than simply housing it, contributes to our understanding development well dynamics access resources among experts. Further, reveals how misalignments multiple may impact management human capital.

Language: Английский

Citations

2