Construction Industrialization (CI) tends to improve industrial performance and contributes substantially towards global sustainability. Considering these merits, many countries and regions, including Hong Kong, have released policies to promote CI uptake. However, those policy interventions ignore the dynamic influence of stakeholders and technologies, which significantly influence the efficient management of CI. In response, this study aimed to objectively depict a real socio-technical system of CI uptake based on a representative case study in Hong Kong. Further, this study identified the critical issues associated with the CI uptake and proposed policy-related recommendations to overcome the key issues. In addition, this study proposed a novel approach based on two-mode social network analysis to facilitate the analysis from a socio-technical perspective. Theoretically, this depicts the interactions of construction industry stakeholders and artifacts within a dynamic, complex socio-technical environment, indicating a new stance for construction management. Finally, this research also provides valuable implications for the government to anticipate the impact of different CI policies on promoting its uptake within the complex socio-technical system.
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http://dx.doi.org/10.3390/ijerph18179017 | DOI Listing |
Front Med (Lausanne)
January 2025
Department of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy.
Introduction: Adverse events in hospitals significantly compromise patient safety and trust in healthcare systems, with medical errors being a leading cause of death globally. Despite efforts to reduce these errors, reporting remains low, and effective system changes are rare. This systematic review explores the potential of artificial intelligence (AI) in clinical risk management.
View Article and Find Full Text PDFThe concept of Simplexity has emerged several times in many discourses within different scientific domains: it somehow refers to the intertwined nature of Simplicity and Complexity. To the eye of the scientist beholder, any of these contributions renders different facets. None of those is negligible nor seems to be superior.
View Article and Find Full Text PDFBMC Health Serv Res
December 2024
Division Digital Systems, RISE - Research Institutes of Sweden, Stockholm, Gothenburg, Sweden.
Background: The use of welfare technology is gaining ground in municipal eldercare and is increasingly being integrated into everyday routines. However, the meanings that eldercare personnel attach to welfare technology in the care of older recipients, and thus the domestication of welfare technology, remain largely underexplored. This study explores how eldercare personnel understand and ascribe meanings to welfare technologies in their daily work, with the aim of understanding their domestication.
View Article and Find Full Text PDFEpidemics
December 2024
Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA; School of Mathematical Sciences, Queen Mary University of London, UK; The Alan Turing Institute, London, UK.
The emergence of SARS-CoV-2 variants of concern (VOCs) punctuated the dynamics of the COVID-19 pandemic in multiple occasions. The stages subsequent to their identification have been particularly challenging due to the hurdles associated with a prompt assessment of transmissibility and immune evasion characteristics of the newly emerged VOC. Here, we retrospectively analyze the performance of a modeling strategy developed to evaluate, in real-time, the risks posed by the Alpha and Omicron VOC soon after their emergence.
View Article and Find Full Text PDFInt J Health Policy Manag
December 2024
Department of Economics, University of Salento, Lecce, Italy.
Background: The primary objective of this investigation is to scrutinize the underlying motivations that may prompt those responsible for health to adopt models of collaborative consumption (CC) as business innovation. Furthermore, the study seeks to assess the congruence of determinants influencing the intention to utilize CC in healthcare, comparing perspectives between responsible for health and digital health consumers.
Methods: Two studies based on the Theory of Planned Behavior (TPB) have been conducted.
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