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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.

The main purpose of this research is exploring the tipping points for a radical shift in supplier (dis)satisfaction. This study identifies triggers and links them to consequences for the buyer–supplier relationship.

The Critical Incident Technique (CIT) was used to interview Dutch supplier representatives in the infrastructure sector, resulting in rich descriptions of 29 critical incidents, extracting first-hand information.

Safety issues, technical disputes and recruitment of supplier’s technical staff have been identified as tipping points for suppliers to become dissatisfied. Implementing performance-based contracting is another critical incident that caused irritation and disappointment. On a more operational level, dissatisfaction was provoked by tender errors and price discussions with the buyer. This study also identified tipping points by which dissatisfied suppliers abruptly turned into satisfied suppliers. The effect of a solution-oriented buyer intervention appears to be most powerful if this behaviour transcends prior expectations.

Consequences of misunderstandings and discussion between supplier and buyer may be manageable or repairable, depending on the causes and triggers that influenced a supplier’s dissatisfaction. An early warning system could prove its worth, so that buyers are not faced with unpleasant surprises.

Despite the growing number of studies, processes of how antecedents lead to supplier (dis)satisfaction are not well understood. Antecedents are predominantly investigated by cross-sectional survey data, giving little insights into micro-processes and actual interaction between buyers and suppliers. Although CIT has been applied in many disciplines, the technique is hardly used within the context of purchasing and supply management research.

The aims of the paper were to highlight the dearth of applied practitioner research concerning the expression of neurodiversity at work and develop an epistemological framework for a future research agenda.

A systematic empty review protocol was employed, with three a priori research questions, inquiring as to the extent of neurodiversity research within mainstream work psychology, psychology in general and lastly within cross-disciplinary academic research. The results of the final search were quality checked and categorized to illustrate where studies relevant to practice are currently located.

The academic literature was found to be lacking in contextualized, practical advice for employers or employees. The location and foci of extracted studies highlighted a growing science-practitioner gap.

The research focused on common neurominority conditions such as autism and dyslexia; it is acknowledged that the neurodiversity definition itself is broader and more anthropological in nature. A need for a comprehensive research agenda is articulated, and research questions and frameworks are proposed.

Guidance is given on applying disability accommodation to both individual and organizational targets.

The disability employment gap is unchanged since legislation was introduced. The neurodiversity concept is no longer new, and it is time for multi-disciplinary collaborations across science and practice to address the questions raised in this paper.

This paper offers an original analysis of the neurodiversity paradox, combining systematic inquiry with a narrative synthesis of the extant literature. The conceptual clarification offers clear directions for researchers and practitioners.

This study aims to perform a benefit segmentation and then a classification of visitors that travel to the Rocha Department in Uruguay from the capital city of Montevideo during the summer months.

A convenience sample was obtained with an online survey. A total of 290 cases were usable for subsequent data analysis. The following statistical techniques were used: hierarchical cluster analysis, K-means cluster analysis, machine learning, support vector machines, random forest and logistic regression.

Visitors that travel to the Rocha Department from Montevideo can be classified into four distinct clusters. Clusters are labelled as “entertainment seekers”, “Rocha followers”, “relax and activities seekers” and “active tourists”. The support vector machine model achieved the best classification results.

Implications for destination marketers who cater to young visitors are discussed. Destination marketers should determine an optimal level of resource allocation and destination management activities that compare both present costs and discounted potential future income of the different target markets. Surveying non-residents was not possible. Future work should sample tourists from abroad.

The combination of market segmentation of Rocha Department’s visitors from the city of Montevideo and classification of sampled individuals training various machine learning classifiers would allow Rocha’s destination marketers determine the belonging of an unsampled individual into one of the already obtained four clusters, enhancing marketing promotion for targeted offers.