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Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory

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  • Greenhalgh, Trisha
  • Stones, Rob

Abstract

The UK National Health Service is grappling with various large and controversial IT programmes. We sought to develop a sharper theoretical perspective on the question "What happens - at macro-, meso- and micro-level - when government tries to modernise a health service with the help of big IT?" Using examples from data fragments at the micro-level of clinical work, we considered how structuration theory and actor-network theory (ANT) might be combined to inform empirical investigation. Giddens (1984) argued that social structures and human agency are recursively linked and co-evolve. ANT studies the relationships that link people and technologies in dynamic networks. It considers how discourses become inscribed in data structures and decision models of software, making certain network relations irreversible. Stones' (2005) strong structuration theory (SST) is a refinement of Giddens' work, systematically concerned with empirical research. It views human agents as linked in dynamic networks of position-practices. A quadripartite approcach considers [a] external social structures (conditions for action); [b] internal social structures (agents' capabilities and what they 'know' about the social world); [c] active agency and actions and [d] outcomes as they feed back on the position-practice network. In contrast to early structuration theory and ANT, SST insists on disciplined conceptual methodology and linking this with empirical evidence. In this paper, we adapt SST for the study of technology programmes, integrating elements from material interactionism and ANT. We argue, for example, that the position-practice network can be a socio-technical one in which technologies in conjunction with humans can be studied as 'actants'. Human agents, with their complex socio-cultural frames, are required to instantiate technology in social practices. Structurally relevant properties inscribed and embedded in technological artefacts constrain and enable human agency. The fortunes of healthcare IT programmes might be studied in terms of the interplay between these factors.

Suggested Citation

  • Greenhalgh, Trisha & Stones, Rob, 2010. "Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory," Social Science & Medicine, Elsevier, vol. 70(9), pages 1285-1294, May.
  • Handle: RePEc:eee:socmed:v:70:y:2010:i:9:p:1285-1294
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    References listed on IDEAS

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    1. Wanda J. Orlikowski & Jack J. Baroudi, 1991. "Studying Information Technology in Organizations: Research Approaches and Assumptions," Information Systems Research, INFORMS, vol. 2(1), pages 1-28, March.
    2. repec:dau:papers:123456789/4907 is not listed on IDEAS
    3. Dorothy Leonard-Barton, 1990. "A Dual Methodology for Case Studies: Synergistic Use of a Longitudinal Single Site with Replicated Multiple Sites," Organization Science, INFORMS, vol. 1(3), pages 248-266, August.
    4. Ole Hanseth, 2007. "Introduction: Integration–Complexity–Risk – The Making of Information Systems Out-of-Control," Chapters, in: Ole Hanseth & Claudio Ciborra (ed.), Risk, Complexity and ICT, chapter 1, Edward Elgar Publishing.
    5. Gerardine DeSanctis & Marshall Scott Poole, 1994. "Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory," Organization Science, INFORMS, vol. 5(2), pages 121-147, May.
    6. François-Xavier de Vaujany, 2005. "Information Technology Conceptualization: Respective Contributions of Sociology and Information Systems," Post-Print hal-00644428, HAL.
    7. Brian T. Pentland & Martha S. Feldman, 2007. "Narrative Networks: Patterns of Technology and Organization," Organization Science, INFORMS, vol. 18(5), pages 781-795, October.
    8. Wanda J. Orlikowski, 2000. "Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations," Organization Science, INFORMS, vol. 11(4), pages 404-428, August.
    9. Wanda J. Orlikowski & JoAnne Yates & Kazuo Okamura & Masayo Fujimoto, 1995. "Shaping Electronic Communication: The Metastructuring of Technology in the Context of Use," Organization Science, INFORMS, vol. 6(4), pages 423-444, August.
    Full references (including those not matched with items on IDEAS)

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