The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare
Abstract
Despite the significant potential for performance gains from health IT (HIT), there has been limited study of the mechanisms underlying successful HIT implementations. We conducted an extensive longitudinal field study to gain an understanding of the interplay between technology and patterns of clinical work embodied in routines. We use the analytical device of narrative networks to identify where and how HIT influences patterns of work. We further draw upon adaptive structuration theory to conceptualize HIT as an intervention that alters the flow of events in a narrative network. Our findings suggest that the key to successful implementation is to manage the co-evolution process between routines and HIT and to actively orchestrate a virtuous cycle through agentic action. We propose a dynamic process model of adaptive routinization of HIT that delineates the major channels through which HIT and routines interact, identifies the different stages in the dynamic co-evolution process, and isolates the pivotal role of two forms of agency in enabling the virtuous cycle of co-evolution. This is one of the first studies to offer a processual, microlevel analysis of HIT implementation in a clinical setting.
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Cites
Understanding dynamic capabilities
Winter, S. G. (2003) · Strategic Management Journal · doi:10.1002/smj.318 · Cited by 5,315
Reconceptualizing Organizational Routines as a Source of Flexibility and Change
Feldman, M. S., & Pentland, B. T. (2003) · Administrative Science Quarterly · doi:10.2307/3556620 · Cited by 4,020
10 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
Barley, S. R. (1986) · Administrative Science Quarterly · doi:10.2307/2392767 · Cited by 2,315
Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1471 · Cited by 1,789
Hillestad, R., Bigelow, J., Bower, A., Girosi, F., Meili, R., Scoville, R., & Taylor, R. (2005) · Health Affairs · doi:10.1377/hlthaff.24.5.1103 · Cited by 1,675
Use of Electronic Health Records in U.S. Hospitals
Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., Ferris, T. G., Shields, A., Rosenbaum, S., & Blumenthal, D. (2009) · New England Journal of Medicine · doi:10.1056/nejmsa0900592 · Cited by 1,473
Organizational routines are stored as procedural memory: Evidence from a laboratory study
Cohen, M. D., & Bacdayan, P. (1994) · Organization Science · doi:10.1287/orsc.5.4.554 · Cited by 1,393
Bentley University, U., Markus, M. L., Silver, M., & Fordham University (2008) · Journal of the Association for Information Systems · doi:10.17705/1jais.00176 · Cited by 927
Patterson, E. S., Rogers, M. L., Chapman, R. J., & Render, M. L. (2006) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872006776412234 · Cited by 157
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Wang, Y., Kung, L., & Byrd, T. A. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.12.019 · Cited by 1,571
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Barrett, M., Davidson, E., Prabhu, J., & Vargo, S. L. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39:1.03 · Cited by 956
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Wang, Y., Kung, L., Wang, W. Y. C., & Cegielski, C. G. (2018) · Information & Management · doi:10.1016/j.im.2017.04.001 · Cited by 508
Capturing the Complexity of Malleable IT Use: Adaptive Structuration Theory for Individuals1
Schmitz, K. W., Teng, J. T. C., & Webb, K. J. (2016) · MIS Quarterly · doi:10.25300/misq/2016/40.3.07 · Cited by 205
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
The Government of Jamaica’s electronic procurement system: experiences and lessons learned
Ahmad, T., Aljafari, R., & Venkatesh, V. (2019) · Internet Research · doi:10.1108/intr-02-2019-0044 · Cited by 39
Anderson, E., Vimalananda, V. G., Orlander, J. D., Cutrona, S. L., Strymish, J. L., Bokhour, B. G., & Rinne, S. T. (2021) · Medical Care · doi:10.1097/mlr.0000000000001575 · Cited by 16
Kekkonen, M., Oinas-Kukkonen, H., Korkiakangas, E., & Laitinen, J. (2019) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-17287-9_19 · Cited by 2
Metadata
- Authors
- Goh, J. M., Gao, G. (., & Agarwal, R.
- Venue
- Information Systems Research
- Published
- 2011-09
- Volume
- 22
- Issue
- 3
- Pages
- 565-585
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2156475416
- Cited by
- 282
- References
- 12
- FWCI
- 47.15
- Type
- journal article
- Language
- en
- Open access
- closed
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