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Reconfiguring Boundary Relations: Robotic Innovations in Pharmacy Work
Open accessAbstract
Robotics is a rapidly expanding area of digital innovation with important implications for organizational practice in multioccupational settings. This paper explores the influence of robotic innovations on the boundary dynamics of three different occupational groups—pharmacists, technicians, and assistants—working in a hospital pharmacy. We extend Pickering's tuning approach [Pickering, A. 1995. The Mangle of Practice: Time, Agency, and Science. University of Chicago Press, Chicago] to examine the temporally emergent process that entangled the mechanical elements and digital inscriptions of a dispensing robot with the everyday practices of hospital pharmacy work. We found that engagement with the robot's hybrid and dynamic materiality over time reconfigured boundary relations among the three occupational groups, with important and contradictory consequences for the pharmacy workers' skills, jurisdictions, status, and visibility.
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Cites
Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455
Reassembling the Social: An Introduction to Actor-Network-Theory
Latour, B. (2005) · doi:10.1093/oso/9780199256044.001.0001 · Cited by 16,778
The System of Professions: An Essay on the Division of Expert Labor
Abbott, A. (1988) · doi:10.7208/chicago/9780226189666.001.0001 · Cited by 7,733
Strategies for Theorizing from Process Data
Langley, A. (1999) · The Academy of Management Review · doi:10.5465/amr.1999.2553248 · Cited by 7,008
Sociomaterial practices: exploring technology at work
Orlikowski, W. J. (2007) · Organization Studies · doi:10.1177/0170840607081138 · Cited by 3,248
Self-citation10 Sociomateriality: Challenging the Separation of Technology, Work and Organization
Orlikowski, W. J., & Scott, S. V. (2008) · Academy of Management Annals · doi:10.5465/19416520802211644 · Cited by 2,571
Self-citationBarley, S. R. (1986) · Administrative Science Quarterly · doi:10.2307/2392767 · Cited by 2,315
Layers of Silence, Arenas of Voice: The Ecology of Visible and Invisible Work
Star, S. L., & Strauss, A. (1999) · Computer Supported Cooperative Work (CSCW) · doi:10.1023/a:1008651105359 · Cited by 1,500
GENDRON, Y., & BARRETT, M. (2004) · Contemporary Accounting Research · doi:10.1506/h1c0-eu27-uu2k-8ec8 · Cited by 129
Self-citation
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Kellogg, K. C., Valentine, M. A., & Christin, A. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0174 · Cited by 2,732
Organizing for Innovation in the Digitized World
Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A. (2012) · Organization Science · doi:10.1287/orsc.1120.0771 · Cited by 2,469
Digital innovation and transformation: An institutional perspective
Hinings, B., Gegenhuber, T., & Greenwood, R. (2018) · Information and Organization · doi:10.1016/j.infoandorg.2018.02.004 · Cited by 1,537
Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World
Parker, S. K., & Grote, G. (2022) · Applied Psychology · doi:10.1111/apps.12241 · Cited by 960
Service innovation in the digital age: Key contributions and future directions
Barrett, M., Davidson, E., Prabhu, J., & Vargo, S. L. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39:1.03 · Cited by 956
Self-citationDell'Acqua, F., McFowland III, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4573321 · Cited by 794
Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.07.045 · Cited by 780
Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022) · Organization Science · doi:10.1287/orsc.2021.1549 · Cited by 632
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Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16274 · Cited by 898
Distributed Tuning of Boundary Resources: The Case of Apple’s iOS Service System1
Eaton, B., Elaluf-Calderwood, S., Sørensen, C., & Yoo, Y. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.1.10 · Cited by 583
The mirroring hypothesis: theory, evidence, and exceptions
Colfer, L. J., & Baldwin, C. Y. (2016) · Industrial and Corporate Change · doi:10.1093/icc/dtw027 · Cited by 331
Bailey, D. E., Faraj, S., Hinds, P. J., Leonardi, P. M., & von Krogh, G. (2022) · Organization Science · doi:10.1287/orsc.2021.1562 · Cited by 305
Dell’Acqua, F., McFowland, E., Mollick, E., Lifshitz, H., Kellogg, K. C., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2026) · Organization Science · doi:10.1287/orsc.2025.21838 · Cited by 1,189
Service robots in hospitals: new perspectives on niche evolution and technology affordances
Mettler, T., Sprenger, M., & Winter, R. (2017) · European Journal of Information Systems · doi:10.1057/s41303-017-0046-1 · Cited by 134
How Professionals Adapt to Artificial Intelligence: The Role of Intertwined Boundary Work
Faulconbridge, J., Sarwar, A., & Spring, M. (2025) · Journal of Management Studies · doi:10.1111/joms.12936 · Cited by 118
Artificial intelligence in the workplace -- a double-edged sword
Wilkens, U. (2020) · The International Journal of Information and Learning Technology · doi:10.1108/ijilt-02-2020-0022 · Cited by 117
Relational Expertise: What Machines Can't Know
Pakarinen, P., & Huising, R. (2025) · Journal of Management Studies · doi:10.1111/joms.12915 · Cited by 105
The AI of the Beholder: Intra‐Professional Sensemaking of an Epistemic Technology
Scarbrough, H., Chen, Y., & Patriotta, G. (2025) · Journal of Management Studies · doi:10.1111/joms.13065 · Cited by 53
Ackerhans, S., Wehkamp, K., Petzina, R., Dumitrescu, D., & Schultz, C. (2025) · JMIR Formative Research · doi:10.2196/64266 · Cited by 38
In Storage, Yet on Display: An Empirical Investigation of Robots' Value as Social Signals
Beane, M. I. (2020) · Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/3319502.3374775 · Cited by 17
Koljonen, T., & Chan, C. K. (2024) · Academy of Management Journal · doi:10.5465/amj.2022.1093 · Cited by 10
Metadata
- Authors
- Barrett, M., Oborn, E., Orlikowski, W. J., & Yates, J.
- Venue
- Organization Science
- Published
- 2012-10
- Volume
- 23
- Issue
- 5
- Pages
- 1448-1466
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2170523010
- Cited by
- 421
- References
- 9
- FWCI
- 35.36
- Type
- journal article
- Language
- en
- Open access
- green
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