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The purpose of this paper is to provide insight into the competence in use when working with interactive research, which is a continuation and elaboration of action research.

A qualitative research approach was adopted for the study. The main body of empirical material in this paper is based on two sources of data – a survey comprising open-ended questions, followed by a series of focus group interviews. The respondents were researchers with varying degrees of experience in using interactive research.

The findings provide illustrations of what characterises interactive research as work and identify an additional set of activities that go beyond traditional research activities. Some activities are relatively easy to describe, while others exist in the gaps between other activities – e.g. boundary spanning – and are harder to explicitly define in terms of implications for the involved researchers’ competence. The work activities reaching beyond the traditional research boundaries are implicit and are not a common shared practice. From a competence point of view, this implies that the competence in use for these implicit tasks of interactive research becomes individually carried. Based on these findings, a number of individual aspects of what constitutes competence in use are suggested.

In future studies, it would be valuable to use a mixed-method approach that also includes longitudinal observations of the actual work of conducting interactive research.

The findings and suggestions for how to understand the competence of interactive researchers can be used as guidance for training in research education.

This study contributes to previous research by describing important requirements and critical elements of competence in use when conducting interactive research.

This systematic review paper aims to investigate seasonal ambient change’s impact on the incidence of falls among older adults.

The population, exposure, outcome (PEO) structured framework was used to frame the research question prior to using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis framework. Three databases were searched, and a total of 12 studies were found for inclusion, and quality appraisal was carried out. Data extraction was performed, and narrative analysis was carried out.

Of the 12 studies, 2 found no link between seasonality and fall incidence. One study found fall rates increased during warmer months, and 9 of the 12 studies found that winter months and their associated seasonal changes led to an increase in the incidence in falls. The overall result was that cooler temperatures typically seen during winter months carried an increased risk of falling for older adults.

Additional research is needed, most likely examining the climate one lives in. However, the findings are relevant and can be used to inform health-care providers and older adults of the increased risk of falling during the winter.

The purpose of this paper is to develop an original model and a solution procedure for solving jointly three main strategic fleet management problems (fleet composition, replacement and make-or-buy), taking into account interdependencies between them.

The three main strategic fleet management problems were analyzed in detail to identify interdependencies between them, mathematically modeled in terms of integer nonlinear programing (INLP) and solved using evolutionary based method of a solver compatible with a spreadsheet.

There are no optimization methods combining the analyzed problems, but it is possible to mathematically model them jointly and solve together using a solver compatible with a spreadsheet obtaining a solution/fleet management strategy answering the questions: Keep currently exploited vehicles in a fleet or remove them? If keep, how often to replace them? If remove then when? How many perspective/new vehicles, of what types, brand new or used ones and when should be put into a fleet? The relatively large scale instance of problem (50 vehicles) was solved based on a real-life data. The obtained results occurred to be better/cheaper by 10% than the two reference solutions – random and do-nothing ones.

The methodology of developing optimal fleet management strategy by solving jointly three main strategic fleet management problems is proposed allowing for the reduction of the fleet exploitation costs by adjusting fleet size, types of exploited vehicles and their exploitation periods.