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The purpose of this paper is to discuss contemporary knowledge relevant to the application of performance measurement (PMe) in the concept of OPM and to compare findings from a literature review with solutions recommended for utilization by managers from general contractors operating in Poland. There are few studies related to the mentioned topic, much fewer describing the geographical area of Eastern Europe.

Triangulation of research methods was selected. First literature review, next desk research and finally descriptive statistical analysis and interview were conducted. The research methods were applied in three steps whose beginnings overlapped and the mid-term findings from one study complemented others.

PMe should be focused on management and governance issues. Its evaluation is related to various organizational levels (permanent organization, portfolio, program, project, construction site and supply chain), most of them are under valuated by practitioners. The conducted study pointed out that there are numerous supporting tools and measures applicable in organizational project management (OPM). The managers recommend combining various tools in one comprehensive OPM system, to limit multiple manual incorporations of the same data to the various databases. The managers call to increase the practical usefulness of researchers’ proposals, to educate the construction managers in the application of complex performance systems and to promote portfolio thinking.

The comparison of performance measurement solutions proposed by academia with experience collected from Polish construction managers could support the better application of theoretical ideas in practice.

Artificial intelligence (AI) has been touted as one of the viable solutions to address urban mobility issues. Despite a growing body of research on AI across various sectors, its use in the mobility sector remains underexplored. This study addresses this limitation by investigating AI applications and identifying the AI material properties and use cases that offer mobility-specific affordances.

Although AI applications in mobility are growing, academic research on the subject has yet to catch up. Therefore, we follow a systematic review and analysis of practitioner literature. We conducted a comprehensive search for relevant documents through Advanced Google and OECD databases and identified 173 sources. We selected 40 sources published between 2015 and 2022 and analysed the corpus of evidence through abductive qualitative analysis technique.

The analysis reveals that mobility organisations are implementing various AI technologies and systems such as cameras, sensors, IoT, computer vision, natural language processing, robotic process automation, machine learning, deep learning and neural networks. These technologies offer material properties for sensing mobility objects and events, comprehending mobility data, automating mobility activities and learning from mobility data. By exploiting these material properties, mobility organisations are integrating urban mobility management, personalising and automating urban mobility, enabling the smartification of infrastructure and asset management, developing better urban transport planning and management, and enabling automatic driving.

The study contributes a mid-range theory of the affordances of AI for mobility (AI4M) at the infrastructure, operation and service levels. This contribution extends the existing understanding of AI and offers an interconnected perspective of AI affordances for further research. For practitioners, the study provides insights on how to explore AI in alignment with organisational goals to collectively transform urban mobility to be affordable, efficient and sustainable.

Many treatment methods for intra-articular fractures of the proximal interphalangeal (PIP) joint are described in the literature without a consensus on the most effective approach. The purpose of this study was to investigate the methods of treatment of PIP joint fractures being used by trauma surgeons in the Republic of Ireland currently and the timing of referral to therapy.

A cross-sectional descriptive study methodology was used to survey trauma surgeons, occupational therapists and physiotherapists in Ireland. An online platform was used. A total of 21 surveys were returned by surgeons and 37 by therapists. Descriptive statistical analysis was used to present the results.

Buddy strapping was reported as the primary treatment method for stable PIP joint fractures. All levels of fracture severity were reported to be treated using traction constructs, which include static and dynamic fixation and orthoses. Unstable fractures were managed using open reduction with internal fixation by 50 per cent of surgeons. Early timing of referral to therapy is reported by more surgeons than therapists. The majority of therapists indicated that they did not have the resources to see patients at the optimal time.

To the authors’ knowledge, this study provides the first description of the management of PIP joint fractures across the Irish health service. The findings of this study suggest that additional therapy resources are required within the health service executive to facilitate the desired early referral to therapy and to enable service development for this category of hand fractures.