13361 research outputs found
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(Re)discovering connection and community: A call to move beyond the ‘normalization of disconnection’
Full text linkLook within. Look around. Reflect upon your connections with others who shape, and share, the spaces and places of your lived experience. For so many of us, when we look deeply and openly into our academic environments, we see and feel disconnection. In this provocation essay, we vulnerably share about our own disconnected experiences as we simultaneously invite others to critically reflect upon the conscious and unconscious ways in which we reinforce the ‘normalization of disconnection’ in our lives. Our hope is to inspire radical and intentional shifts into spaces and places within which we stand together, as a community grounded in care and solidarity, dropping stones of hope to create ripple effects of (re)connection and repair
The Surf Media
No full textIn this chapter, I explain how the surf media has evolved to become a key driver of both the culture and industry of surfing. I start by situating the current surf media environment into its historical context, showing how two of the original media formats, film and magazines, faced the ravages of digital disruption, yet still remain relevant and influence today. Given the centrality of the surf media to the surfing ecosystem, the topic of surf media research is explored before providing a scholarly perspective on why the printed surf magazine has demonstrated such resilience in the digital age. Finally, using my own lived experience as a surf media owner, I advance a process framework for navigating media change
Examining the position of organic laws within the Constitutional Bloc: an analysis of constitutional court decisions in France and Iraq
No full textThis paper examines the position of organic laws within the Constitutional Bloc, based on the influence of constitutional court decisions in France and Iraq. Through analysing the constitutional court decisions, this article seeks to provide a deeper understanding of the importance and status of organic laws within the constitutional system. The importance of this study is highlighted by the controversial argument emerging from the extent to which organic laws are considered one of the components of the Constitutional Bloc and thus give it a constitutional value. Based on a case study approach, this paper focused on the constitutional court decisions to reach the result that a kind of hierarchy can be found between the constitutional rules, and organic laws are one of these rules. Such hierarchy can assist the constitutional judges to examine the position of the organic law within the Constitutional Bloc
Effectiveness of coronary heart disease peer support interventions: a systematic review and meta-analysis
Full text linkAims: To investigate the effect of peer support interventions on psychosocial outcomes, self-management behaviours and readmissions among people with coronary heart disease (CHD). The second aim was to characterise the peer support strategies being tested including the intervention initiation, method, dose, timing, format and content, and the characteristics and training of the peers providing the intervention.Methods and Results: Systematic review and meta-analysis (MEDLINE, Embase, PsycINFO, CINAHL, Scopus, PubMed [non-MEDLINE], Web of Science, and Cochrane Central Register) and risk of bias appraisal was conducted on the above outcomes according to the PRISMA checklist and Cochrane Collaboration guidelines. Meta-analysis was undertaken in RevMan5.4 using the inverse variance method and random effects model. Intervention components and outcomes unsuitable for meta-analysis were narratively synthesised. Sixteen randomised controlled trials (n=2013) were included. Peer support had no effect on anxiety (SMD -0.73, 95%CI -1.57,0.10), depression (SMD -0.09, 95%CI -0.25,0.06), health-related quality of life (SMD -0.38, 95%CI -1.84,1.08), or perceived social support (SMD -0.05, 95%CI -0.31,0.21). However, peer support interventions significantly improved self-management behaviours (SMD 1.49, 95%CI 0.66,2.32) and self-efficacy up to 6 months (SMD 0.57, 95%CI 0.37,0.77), and reduced readmissions (RR 0.25, 95%CI 0.10,0.60). Self-efficacy remained higher in those receiving peer support at 6-12 months post-intervention (SMD 0.67, 95%CI 0.29,1.05). Peer support interventions varied widely, but common strategies included in person (56%), group based (31%) experience sharing (44%). Although subgroup analysis was not possible, narrative synthesis indicated that in-person strategies and peer support that was commenced during admission were the most effective for improving outcomes.Conclusion: Peer support interventions for people with CHD may be used to improve self-management and self-efficacy, and reduce readmission risk, but anxiety, depression, HRQoL and social support did not reach statistical significance when meta-analysed. In-person, group based and experience sharing were the most common peer support categories, and strategies that were in-person and initiated during admission demonstrated the most consistent improvements across outcomes. REGISTRATION: PROSPERO [CRD42024514564]
Artificial intelligence in risk management within the realm of construction projects: A bibliometric analysis and systematic literature review
No full textThe construction industry faces risks across various domains, including cost, safety, schedule, quality, and supply chain management. Recent artificial intelligence (AI) advancements offer promising solutions to enhance risk management. This systematic literature review (SLR) explores the integration of AI in construction risk management, focusing on AI applications, risk categories, and key algorithms. A total of 84 peer-reviewed articles published between 2014 and 2024 were analysed. The SLR method involved rigorous identification, selection, and critical appraisal of studies, followed by bibliometric analysis to uncover research trends, influential authors, and thematic clusters. The bibliometric analysis, including keyword co-occurrence and author collaboration networks, provided insights into the structure of the research landscape. Findings revealed that AI methods such as machine learning (ML), natural language processing (NLP), knowledge-based reasoning (KBR), optimisation algorithm (OA), and computer vision (CV) play crucial roles in predicting and managing risks. ML is employed for predictive modelling, NLP for document and compliance risk management, KBR for decision support, OA for optimising resources and schedules, and CV for real-time safety monitoring. Despite advancements, challenges related to data quality, model interpretability, and workforce skills hinder full AI integration. Future research should explore AI’s intersection with emerging technologies such as blockchain and adaptive risk models for responsible adoption. This paper contributes to the growing knowledge of AI’s transformative impact on construction risk management
The Rise of Artificial Intelligence in Project Management: A Systematic Literature Review of Current Opportunities, Enablers, and Barriers
No full textArtificial Intelligence (AI) and Machine Learning (ML) have transformed the landscape of project management and contributed significantly to improving efficiency, decision-making, and optimizing resource allocation. Although there exists a number of research examining the integration and utilization of AI and ML into project management, the fragmented literature highlights the need for a systematic literature review to consolidate current knowledge, identify emerging trends, and examine AI’s role in project management. This study aims to critically analyze the existing literature to identify opportunities for, enablers of, and barriers to AI adoption, providing a comprehensive framework to guide future research and practice. A systematic literature review (SLR) following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines revealed three key themes: The Knowledge Ecosystem in Project Management: In the Era of AI, The Intersection of AI and Humanity in Project Management, and Integrating AI into Project Management and Landscaping. The findings highlight AI’s transformative effects on forecasting accuracy, risk mitigation, stakeholder collaboration, and safety management while addressing challenges such as integration with legacy systems, data quality issues, and resistance to change. The research presents valuable insights for both researchers and practitioners, facilitating the navigation of adoption barriers, capitalizing on enablers, and unlocking AI’s potential to reshape project management practices across industries
Does emotional inhibition affect public perceptions of not-in-my-backyard infrastructures? A case study of waste-to-energy incineration facilities
No full textNIMBY (Not-In-My-Backyard) phenomena are widespread social issues in energy project development that fundamentally stem from public risk perceptions and emotional reactions to sensitive facilities. Emotions are critical factors that shape public cognition and attitudes, playing a pivotal role in both the emergence and resolution of NIMBY conflicts. This study uses waste-to-energy (WTE) facilities as a case to explore the impact of emotion inhibition strategies on public cognition and attitudes through behavioral survey experiments. A comparative analysis of positive and negative emotion inhibition was conducted with 240 participants, and the results of the study demonstrate that emotional inhibition can substantially alter public perceptions, with varying impacts depending on whether positive or negative emotions are inhibited and on the group size. Insights are provided into the role of emotions in shaping public perceptions during group discussions, supporting governmental efforts to anticipate and manage energy facility construction conflicts, mitigate negative outcomes from emotional arousal, and promote the sustainable development of WTE incineration facilities.</p
Evaluating the implementation of innovative technology in Japan’s bidding system: a dynamic Stackelberg game theoretical analysis
Full text linkInnovation in construction is crucial for enhancing labour productivity. Effective procurementstrategies promote technological advancements. Japan’s Comprehensive Evaluation Method(CEM) includes a multi-parameter bidding system incorporating a substantial lower bound (LB)known as ‘Chosa Kijun Kakaku’ to prevent underbidding. However, this bound can limit innovative practices that reduce costs. Currently, there are no methods to evaluate the impact of this bound or identify optimal parameters to encourage innovation. This study aims to develop a framework for determining the optimal parameter values to maximize benefits for public owners and innovative firms while also deriving an optimal scenario for the current circumstances regarding innovative technology adoption. A Stackelberg game theoretical framework models the sequential decisions of public owners and bidders, framing it as an optimisation problem. Findings include: (i) the method effectively identifies optimal solutions that meet local optimality conditions; (ii) a CEM without substantial LB results in lower award prices, higher winning probabilities, and increased profits for an innovative company. This model fosters innovation and provides new insights into bidding design. Unlike most multi-parametric bidding research that centres on a single objective function, this study investigates two parties with differing objectives, offering a practical perspective on multi-parameter bidding design
Advancing self-congruity theory in senior tourism: a perspective on theoretical, methodological and contextual progress
No full textPurpose:This viewpoint paper aims to advance the discourse on self-congruity theory within senior tourism research by proposing future research agendas. It critically examines the application and evolution of self-congruity theory in the tourism domain, with a particular focus on theoretical, contextual and methodological perspectives.Design/methodology/approach:This viewpoint paper critically reviews the theoretical, contextual and methodological advancements in self-congruity theory as applied to senior tourism. Drawing on existing literature and our own insights, this viewpoint is designed as a “call for future research” rather than an empirical investigation or theory confirmation. Academic peer-reviewed journal articles from tourism and related disciplines were reviewed to trace the progress of self-congruity theory in senior tourism research.Findings:This viewpoint emphasises the significance of advancing self-congruity theory in senior tourism to develop a research agenda for future inquiry. The viewpoint article acknowledges the usefulness of self-congruity theory in aligning senior tourists’ self-concepts with destination attributes and in contextualising these self-concepts in relation to travel behaviour. Furthermore, this article advocates for methodological rigour by emphasising the applicability of approaches such as fuzzy-set qualitative comparative analysis (fsQCA), longitudinal studies and mixed-methods, which are well suited to understanding the unique interests and preferences of senior tourists.Originality/value:This viewpoint paper offers valuable insights into the application of self-congruity theory in senior tourism by proposing theoretical, contextual and methodological avenues for future research. It provides a solid foundation for advancing academic inquiry into how self-congruity theory shapes senior tourists’ travel decisions and experiences
A Mediation Model of Social Anxiety Development During Early Childhood Stuttering
No full textPURPOSE: Stuttering is associated with clinically significant social anxiety, which emerges during early childhood for some, but not all, children who begin to stutter. The purpose of this review article is to develop a model of social anxiety development during early childhood stuttering and to present an empirical method by which it can be tested. METHOD: We propose a mediation model of how the exposure variable of stuttering may lead to an outcome of social anxiety. Our model includes confounder and mediator variables. We explain the concepts and procedures of mediation analysis and present a method to test our model. RESULTS: We present the idea that negative peer responses to stuttering and negative self-perception of children are mediators of social anxiety development. We propose several confounder variables that involve children, their parents, and the home environment. We depict our model with a directed acyclic graph, and we present details of how it can be tested with a longitudinal research design. DISCUSSION: This is the first attempt to model the development of social anxiety shortly after stuttering onset with an empirically testable method. The intended benefit of this innovation is to direct future clinical directions for the clinical management of stuttering arising shortly after childhood onset