To Question or Accept? How Status Differences Influence Responses to New Epistemic Technologies in Knowledge Work

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A Real Utopia Under What Conditions? The Economic and Social Benefits of Workplace Democracy in Knowledge-Intensive Industries

Young-Hyman, T. D., Magné, N., & Kruse, D. L. (2022) · Organization Science · doi:10.1287/orsc.2022.1622 · Cited by 42 · see citing works

Artificial intelligence and multidisciplinary team meetings; a communication challenge for radiologists' sense of agency and position as spider in a web?

Galsgaard, A., Doorschodt, T., Holten, A.-L., Müller, F. C., Ploug Boesen, M., & Maas, M. (2022) · European Journal of Radiology · doi:10.1016/j.ejrad.2022.110231 · Cited by 38 · see citing works

Inverted Apprenticeship: How Senior Occupational Members Develop Practical Expertise and Preserve Their Position When New Technologies Arrive

Beane, M., & Anthony, C. (2023) · Organization Science · doi:10.1287/orsc.2023.1688 · Cited by 38 · see citing works

Healthcare leaders’ experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study

Siira, E., Tyskbo, D., & Nygren, J. (2024) · BMC Primary Care · doi:10.1186/s12875-024-02516-z · Cited by 29 · see citing works

Challenging the belief in simple solutions: The need for epistemic practices in professional work

Nerland, M. B., & Hasu, M. (2020) · Medical Education · doi:10.1111/medu.14294 · Cited by 28 · see citing works

Methodological Pluralism and Innovation in Data-Driven Organizations

Allen, R. T., & McDonald, R. M. (2025) · Administrative Science Quarterly · doi:10.1177/00018392251313737 · Cited by 27 · see citing works

“If I Could Turn Back Time”: Occupational Dynamics, Technology Trajectories, and the Reemergence of the Analog Music Synthesizer

Nelson, A. J., Anthony, C., & Tripsas, M. (2023) · Administrative Science Quarterly · doi:10.1177/00018392231163178 · Cited by 24 · see citing works

Moving Violations: Pairing an Illegitimate Learning Hierarchy with Trainee Status Mobility for Acquiring New Skills When Traditional Expertise Erodes

Kellogg, K. C., Myers, J. E., Gainer, L., & Singer, S. J. (2020) · Organization Science · doi:10.1287/orsc.2020.1374 · Cited by 23 · see citing works

Understanding How People React to Change: A Domain of Uncertainty Approach

Yin, Y., Mueller, J., & Wakslak, C. J. (2024) · Academy of Management Annals · doi:10.5465/annals.2022.0033 · Cited by 23 · see citing works

Reconfiguration of uncertainty: Introducing AI for prediction of mortality at the emergency department

Tyskbo, D., & Nygren, J. (2024) · Social Science & Medicine · doi:10.1016/j.socscimed.2024.117298 · Cited by 20 · see citing works

Novice risk work: How juniors coaching seniors on emerging technologies such as generative AI can lead to learning failures

Kellogg, K. C., Lifshitz‐Assaf, H., Randazzo, S., Mollick, E., Dell’Acqua, F., McFowland, E., Candelon, F., & Lakhani, K. R. (2025) · Information and Organization · doi:10.1016/j.infoandorg.2025.100559 · Cited by 18 · see citing works

Unpacking AI at work: Data work, knowledge work, and values work

van den Broek, E. (2025) · Information and Organization · doi:10.1016/j.infoandorg.2025.100584 · Cited by 17 · see citing works

Integrating AI-based triage in primary care: a qualitative study of Swedish healthcare professionals’ experiences applying normalization process theory

Larsson, I., Siira, E., Nygren, J., Petersson, L., Svedberg, P., Nilsén, P., & Neher, M. (2025) · BMC Family Practice · doi:10.1186/s12875-025-03057-9 · Cited by 11 · see citing works

Education Doctorate in the Context of Generative Artificial Intelligence

Henriksen, D., Mishra, P., Woo, L. J., & Oster, N. J. (2025) · Impacting Education Journal on Transforming Professional Practice · doi:10.5195/ie.2025.485 · Cited by 11 · see citing works

A Cognitive Method for Comparing and Elaborating on Technology Frames

Ghobadi, S., & Mathiassen, L. (2023) · British Journal of Management · doi:10.1111/1467-8551.12752 · Cited by 11 · see citing works

Balancing Professional Autonomy and Managerial Goals amid Broad Technology Adoption Pressures: Intraprofessional Segmentation at a Finnish School

Koljonen, T., & Chan, C. K. (2024) · Academy of Management Journal · doi:10.5465/amj.2022.1093 · Cited by 10 · see citing works

‘Let Me Explain’: A Comparative Field Study on How Experts Enact Authority Over Clients When Facing AI Decisions

Mayer, A., van den Broek, E., & Karačić, T. (2025) · Journal of Management Studies · doi:10.1111/joms.70022 · Cited by 10 · see citing works

IT Higher Education Teachers and Trust in AI-Enabled Ed-Tech: Implications for Adoption of AI in Higher Education

Aladi, C. C. (2024) · ACM SIGCPR Conference on Computer Personnel Research (SIGCPR) · doi:10.1145/3632634.3655852 · Cited by 10 · see citing works

Intergenerational Learning in Age-Diverse Meetings: A Social Comparison Perspective

Gerpott, F. H., & Fasbender, U. (2020) · Research on managing groups and teams · doi:10.1108/s1534-085620200000020009 · Cited by 10 · see citing works

Interlacing Situated and Algorithmic Modes of Knowledge Work: A Workplace Jurisdiction Perspective

Kim, B., Mehrizi, M. H. R., & Bailey, D. E. (2025) · Academy of Management Journal · doi:10.5465/amj.2023.1286 · Cited by 9 · see citing works

Playing the political game of innovation: An integrative framework and future research directions

Schweitzer, F. M., Röth, T., Birkinshaw, J., & Barczak, G. J. (2024) · Journal of Product Innovation Management · doi:10.1111/jpim.12735 · Cited by 9 · see citing works

Talking about machines: discursive sensemaking and workplace learning in the age of AI

Viktorelius, M., & Larsson, S. (2025) · Studies in Continuing Education · doi:10.1080/0158037x.2025.2570144 · Cited by 8 · see citing works

Does Artificial Intelligence Stimulate or Diminish Human Interactions? An Affordance Perspective on AI, Relational Coordination, and Performance

Hall, T. A., Gardner, J. W., & Wright, Z. A. (2025) · Production and Operations Management · doi:10.1177/10591478251407777 · Cited by 8 · see citing works

Organisational learning in complex epistemic environments: reflections from studies of professional work in Norway

Nerland, M. B. (2022) · The Learning Organization · doi:10.1108/tlo-02-2022-0025 · Cited by 8 · see citing works

Producing Images and Making Judgement: The ongoing use of epistemic technologies in expert work

Lindberg, K., Tyskbo, D., & Styhre, A. (2025) · Organization Studies · doi:10.1177/01708406251326693 · Cited by 7 · see citing works

Reshaping the Space of Ethics for Expert Work: Deliberative Approaches for Deploying Artificial Intelligence in Auditing

Sinha, V. K., & Derichs, D. (2025) · Journal of Business Ethics · doi:10.1007/s10551-025-06166-8 · Cited by 6 · see citing works

Health and social care professionals’ expectations for e-leadership in the digital transformation: a qualitative study

Kaihlanen, A., Kainiemi, E., Virtanen, L., Hilama, P., Einola, S., & Heponiemi, T. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-13740-3 · Cited by 6 · see citing works

Discourses of Digitalisation and the Positioning of Workers in Primary Care: A Norwegian Case Study

Nerland, M. B., Hasu, M., & Grisot, M. (2023) · Social Inclusion · doi:10.17645/si.v11i4.7121 · Cited by 6 · see citing works

On the Right Track? Studying the Use of Biometric Data to Manage People in Organizations

Downie, L. A., Pachidi, S., Huysman, M., & Hafermalz, E. (2023) · Academy of Management Discoveries · doi:10.5465/amd.2023.0037 · Cited by 6 · see citing works

Reconstructing legitimacy of internal auditing during ERP implementations: two contrasting cases

Elbardan, H., Nordberg, D., & Sinha, V. K. (2023) · Journal of Accounting Literature · doi:10.1108/jal-01-2023-0001 · Cited by 6 · see citing works

CEO-COB prestige distance and change in diversification: Exploring a curvilinear relationship

Salaiz, A., Evans, K. M., Jones, C. D., & Pathak, S. M. (2021) · The Leadership Quarterly · doi:10.1016/j.leaqua.2021.101544 · Cited by 5 · see citing works

HOW DO TECHNOLOGICAL FRAMES FEEL? BUSINESS MODEL INNOVATION IN PRE-DIGITAL COMPANIES AND THE EMOTIONAL IMPACT OF DIGITAL TECHNOLOGIES

ARNOLD, F., Breitenmoser, P., Röth, T., & Spieth, P. (2022) · International Journal of Innovation Management · doi:10.1142/s1363919622400217 · Cited by 4 · see citing works

The illusion of independence: Spun-off firms’ risk-taking as a function of status and attachment to the parent firm

Junge, S., Graf‐Vlachy, L., Mammen, J., Meinhardt, R., & Gudd, C. (2020) · Long Range Planning · doi:10.1016/j.lrp.2020.101966 · Cited by 4 · see citing works

Fading Memories: The Role of Machine Learning in Organizational Knowledge Depreciation

Gerlach, J. P., & Lange, D. A. (2026) · Academy of Management Review · doi:10.5465/amr.2024.0408 · Cited by 3 · see citing works

Artificial intelligence-enabled green innovation: Evidence from patent data

Volpentesta, T., Urbani, R., & Deriu, V. (2026) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2026.102541 · Cited by 3 · see citing works

Seeing Value Through the Eyes of Others: Perceptions of Value and Rebidding in Online Auctions

Sands, D. B. (2022) · Research in the sociology of organizations · doi:10.1108/s0733-558x20220000077017 · Cited by 3 · see citing works

How Are Skills Changing with Digital Technologies? Clarifying Boundary Conditions in Management Research

Grimshaw, D., & Miozzo, M. (2026) · Journal of Management Studies · doi:10.1111/joms.70057 · Cited by 2 · see citing works

When the white coat meets the code: medical professionals’ negotiating with artificial intelligence, trust and boundary work

Sartori, L., Musmeci, M., Cannizzaro, S., & Binelli, C. (2026) · Health Risk & Society · doi:10.1080/13698575.2026.2662006 · Cited by 2 · see citing works

Cognition Technology: AI and the Disruption of Epistemic Agency

Babushkina, D. (2026) · Springer eBooks · doi:10.1007/978-3-032-15112-4_47 · Cited by 2 · see citing works

Reining in Unbridled AI Enthusiasm: Protecting the Integrity of Rehabilitation Science and Clinical Care

Rabinowitz, A. R., Trauger, M., & Williams, M. (2026) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2026.04.033 · Cited by 2 · see citing works

Understanding Algorithmic Management in the Traditional Work Context: A Quantitative Analysis

Schmid, A. L., & Wiesche, M. (2026) · Lecture notes in information systems and organisation · doi:10.1007/978-3-032-08483-5_20 · Cited by 2 · see citing works

Knowledge Co‐Creation by Human–Machine Social Interaction: Based on Decision Field Theory

Ren, Z., Shen, X., & Xia, S. (2026) · Systems Research and Behavioral Science · doi:10.1002/sres.70103 · Cited by 2 · see citing works

Digital Technologies in Client Relationships: Juxtaposing Organizational and Management Perspectives with Insights from Addiction Counseling Research

Waeber, M., Fohim, E., & Jacobs, C. D. (2024) · The Journal of Applied Behavioral Science · doi:10.1177/00218863241288987 · Cited by 2 · see citing works

How professionals respond to disruptive effects of artificial intelligence on their jurisdiction: The role of interactive governance

Chen, Q., Wang, H., Ma, C., & Ru, P. (2025) · Social Science & Medicine · doi:10.1016/j.socscimed.2025.118626 · Cited by 2 · see citing works

Groundwork: Expanding Expertise in Making Robots Useable Through Domestication and Care

Lindberg, K., & Raviola, E. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0733-558x20250000097007 · Cited by 2 · see citing works

Managing Collaborative Development of Artificial Intelligence: Lessons from the Field

Mayer, A., van den Broek, E., Kim, B., Karačić, T., Hidalgo, M. S., & Huysman, M. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.744 · Cited by 2 · see citing works

Generating Knowledge Around the Unknowable Algorithm

Kim, B., & Mehrizi, M. H. R. (2022) · Academy of Management Proceedings · doi:10.5465/ambpp.2022.31 · Cited by 2 · see citing works

Cross-Functional Coordination, Status–Authority Asymmetry, and Contingent Exploitation of Digital Technology

Xie, X.-Y., Ye, C., Hu, Q., He, W., & Dai, H. (2025) · Management and Organization Review · doi:10.1017/mor.2025.10100 · Cited by 1 · see citing works

Predicting knowledge sharing in the Italian public administration: a cross-sectional empirical study on younger and older employees

Pepe, M., Mamcarz, P., Salvato, C., Landolfi, A., Ambrosino, G., & Presti, A. L. (2026) · Journal of Workplace Learning · doi:10.1108/jwl-10-2025-0351 · Cited by 1 · see citing works

The Generative AI Dilemma in Knowledge-Intensive Teams

Reif, J. A., & Cummings, J. N. (2026) · Academy of Management Review · doi:10.5465/amr.2024.0538 · Cited by 1 · see citing works

Prompt Engineering as Substantive and Relational Expertise: Linking Professionals' Learning Pathways to Boundary WorkPreprint

Rodgers, I. T., & Sako, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5182132 · Cited by 1 · see citing works

Exploring Emerging Intelligent Technologies and the Future of Knowledge Work

Kim, B. (2024) · doi:10.5463/thesis.704

How Engineers Perform Data Science Work: Designing Hybrid Roles

Schmid, A. L., & Wiesche, M. (2025) · Lecture notes in information systems and organisation · doi:10.1007/978-3-031-80122-8_12

Social-Group Framing: Shaping Regulations in an Open Regulatory EnvironmentPreprint

Wang, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5399958

Mine but Not Ours: How and When Perosnal AI Learning Triggers Knowledge HidingPreprint

Gao, F., Liu, W., Wang, M., & Wang, Y. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6304539

Gender, status, and team interaction: A microdynamic exploration of wearable sensor data across 11 research groups

Müller, J., Uzaheta, A., & Salas, J. (2026) · PLoS ONE · doi:10.1371/journal.pone.0349195

Emancipatory Agency and Rebalancing of Power in Algorithmic Systems: A Simondonian perspective

de Brossard, S. (2026) · Organization Studies · doi:10.1177/01708406261459055

Organized Epistemic Deception: Imagining the utopia-dystopia of contemporary digital surveillance through fiction

Raviola, E., Eneman, M., & Ljungberg, J. (2026) · Organization Studies · doi:10.1177/01708406261447700

Friends or foes? Framing contests and the co-creation and counter-creation of digital technologies

Bader, V., & Loscher, G. J. (2026) · European Management Journal · doi:10.1016/j.emj.2026.08.002

From Risk Transfer to Risk Prevention: How Field-level Dynamics Shape Patterns of Uneven Algorithmization

Willers, J. O., & Gamerdinger, A. (2026) · Journal of Organizational Sociology · doi:10.1515/joso-2025-0029

EPISTEMIC AUTHORITY IN THE AGE OF ALGORITHMS: RECONFIGURING KNOWLEDGE LEGITIMACY IN ISLAMIC EDUCATION

Akhmadi, A. (2024) · Benchmarking · doi:10.30821/benchmarking.v8i2.28764

A multilevel framework of human–AI knowledge work and its epistemic consequences for organizational decision-making

Shoaib, S., Haq, F. U., Maaitah, N., Dhahbi, A., Badawy, M., Sheikh, A. A., & Masood, A. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103799

Technology Use as a Status Cue: The Influences of Mundane and Novel Technologies on Knowledge Assessments in Organizations

Treem, J. W. (2013) · Journal of Communication · doi:10.1111/jcom.12061 · Cited by 15 · see citing works

In the Backrooms of Science

Barley, S. R., & Bechky, B. A. (1994) · Work and Occupations · doi:10.1177/0730888494021001004 · Cited by 206 · see citing works

The management of knowledge discrepancies and of epistemic changes in institutional interactions

Mondada, L. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511921674.003 · Cited by 60 · see citing works

Epistemic statusPreprint

Heritage, J. (2026) · OSF Preprints (OSF Preprints) · doi:10.17605/osf.io/6ms8p

Knowledge Maturing at Workplaces of Knowledge Workers: Results of an Ethnographically Informed Study, IKNOW

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