Objective: We link the problem of complex sociotechnical systems to a new unit-of-analysis and fruitful developing area of applied research, the multiteam system.
Background: Teams are the dominant entity and theoretical lens being applied to understanding the performance of complex sociotechnical systems. We submit that such problems cannot be solved through the teams lens because complex sociotechnical systems exhibit features such as mixed-motive goal structures and complex, layered social identities that do not meet the definitional requirements of a team.
Method: We present key findings from multiteam systems research and review the studies contained in the special issue on the basis of the focal constructs and unit of analysis.
Results: Although progress is being made on understanding key constructs essential to understanding complex sociotechnical systems, the unit of analysis needs to be shifted upward from the team level to the system level.
Conclusion: Progress on understanding the inner workings and leverage points for the success of complex sociotechnical systems requires a fundamental shift in the unit of analysis toward understanding the macrodynamics of larger systems of teams.
Application: The multiteam system perspective offers a useful theoretical lens for future research on and tool development (e.g., training, information technology) for improving the functioning of complex sociotechnical systems.
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http://dx.doi.org/10.1177/0018720810374736 | DOI Listing |
Sci Rep
January 2025
Innovations in Sociotechnical Systems, Department of Technology Assessment, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), 14469, Potsdam, Germany.
This research investigates the pulp and paper industry's transition to sustainability by valorizing unused roadside and natural grasses for paper production. Large-scale production from residual grass poses multifaceted challenges, requiring collaboration across stakeholders, from biomass collection to manufacturing. To understand key drivers and barriers within this complex system, experts from various fields, including local farmers, researchers, policymakers, and industry executives were interviewed, leading to the development of a Fuzzy Cognitive Map (FCM).
View Article and Find Full Text PDFRev Bras Enferm
December 2024
Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil.
Objectives: to analyze the relationship between the nursing practice environment and hospital sociotechnical complexity as perceived by nurses.
Methods: a sequential explanatory mixed-methods study was conducted in a hospital in southern Brazil. The Brazilian version of the Practice Environment Scale-Nursing Work Index and the Complexity Characterization Questionnaire were administered to 132 nurses.
Ann Med
December 2025
Department of Education, NU Hospital Group, Trollhättan, Sweden.
Background: New digital learning environments have transformed medical education and training, allowing students and teachers to engage in synchronous, real-time interactions and asynchronous learning activities online. Despite extensive research on the role of digital technologies in education, understanding the interplay between digital technology, work, and learning, especially in complex fields like healthcare, remains a challenge.
Objective: The objective of this study is to examine resident physicians' perceptions and experiences of using a digital learning environment as part of their specialist medical training.
Contemp Clin Trials Commun
December 2024
Duke University, School of Medicine, Department of Medicine, Durham, NC, USA.
Background: eSource software that transfers patient electronic health record data into a clinical trial electronic case report form holds promise for increasing data quality while reducing data collection, monitoring and source document verification costs. Integrating eSource into multicenter clinical trial start-up procedures could facilitate the use of eSource technologies in clinical trials.
Methods: We conducted a qualitative integrative analysis to identify eSource site start-up key steps, challenges that might occur in executing those steps, and potential solutions to those challenges.
PLoS One
November 2024
Department of Computer Science, Karlstad University, Karlstad, Sweden.
In software engineering, organizational debt (OD) is a crucial but little-researched phenomena. OD refers to the accumulation of outdated structures, policies, and processes that hinder an organization's advancement and adaptability. This multivocal literature review (MLR) synthesizes insights from software practitioners to elucidate OD causes, consequences, identification, and mitigation approaches that is considered a first step in illuminating the OD for software practitioners.
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