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The purpose of this paper is to develop a conceptual model to be used further in understanding credit risk management (CRM) system of commercial banks (CBs) in an economy with less developed financial sector.

The paper reviews existing literature that consists mostly evidence from developed countries. A study model is proposed with amendment to fit Tanzania's environment. This is achieved through the use of both secondary (various relevant documents) and primary (interviews) information from a CB and key management officials dealing with credit management. The selected CB is active in lending, has both foreign and local characteristics in its operations and has been in operation for a relatively longer period.

The main finding of this paper is that the components of CRM system differ in CBs operating in a less developed economy from those in a developed economy. This implies that the environment within which the bank operates is an important consideration for a CRM system to be successful.

Tanzania, a less developed economy, provides an excellent case for studying how CBs operating in economies with less developed financial sector manage their credit risk. The paper identifies issues to be studied further in order to establish a CRM system by CBs operating in Tanzania.

The purpose was to investigate what effect an intervention of low-dose, high-frequency cardiopulmonary resuscitation (CPR) training with feedback for one month would have on professionals' subjective self-assessment skill of CPR.

This study had a quantitative approach. In total, 38 firefighters performed CPR for two minutes on a Resusci Anne QCPR. They then self-assessed their CPR through four multiple-choice questions regarding compression rate, depth, recoil and ventilation volume. After one month of low-dose, high-frequency training with visual feedback, the firefighters once more performed CPR and self-assessed their CPR.

With one month of low-dose, high-frequency training with visual feedback, the level of self-assessment was 87% (n = 33) correct self-assessment of compression rate, 95% (n = 36) correct self-assessment of compression depth, 68% (n = 26) correct self-assessment of recoil and 87% (n = 33) correct self-assessment of ventilations volume. The result shows a reduced number of firefighters who overestimate their ability to perform CPR.

With low-dose, high-frequency CPR training with visual feedback for a month, the firefighters develop a good ability to self-assess their CPR to be performed within the guidelines. By improving their ability to self-assess their CPR quality, firefighters can self-regulate their compression and ventilation quality.

The purpose of this paper was to assess two different leader development interventions by comparing their effects on leadership behaviour and evaluating their combined impact after two years, from the viewpoints of both the participating managers and external raters.

The study was a longitudinal randomised controlled trial with a cross-over design. Health care managers (n = 177) were first randomised to either of two 10-month interventions and a year later were switched to the other intervention. Leadership behaviour was rated at pre-test and 12 and 24 months by participating managers and their superiors, colleagues and subordinates using a 360-degree instrument. Analysis of variance and multilevel regression analysis was performed.

No difference in effect on leadership behaviour was found between the two interventions. The evaluation of the combined effect of the interventions on leadership behaviour showed inconsistent (i.e. both increased and decreased) ratings by the various rater sources.

This study provides some evidence that participation in leadership development programmes can improve managers’ leadership behaviours, but the results also highlight the interpretive challenges connected with using a 360-degree instrument to evaluate such development.

The longitudinal randomised controlled design and the large sample comprising both managers and external raters make this study unusually rigorous in the field of leadership development evaluations.

The purpose of this paper is to provide an overview of research and development in the measurement of maintenance performance. It considers the problems of various measuring parameters and comments on the lack of structure in and references for the measurement of maintenance performance. The main focus is to determine how value can be created for organizations by measuring maintenance performance, examining such maintenance strategies as condition‐based maintenance, reliability‐centred maintenance, e‐maintenance, etc. In other words, the objectives are to find frameworks or models that can be used to evaluate different maintenance strategies and determine the value of these frameworks for an organization.

A state‐of‐the‐art literature review has been carried out to answer the following two research questions. First, what approaches and techniques are used for maintenance performance measurement (MPM) and which MPM techniques are optimal for evaluating maintenance strategies? Second, in general, how can MPM create value for organizations and, more specifically, which system of measurement is best for which maintenance strategy?

The body of knowledge on maintenance performance is both quantitatively and qualitatively based. Quantitative approaches include economic and technical ratios, value‐based and balanced scorecards, system audits, composite formulations, and statistical and partial maintenance productivity indices. Qualitative approaches include human factors, amongst other aspects. Qualitatively based approaches are adopted because of the inherent limitations of effectively measuring a complex function such as maintenance through quantitative models. Maintenance decision makers often come to the best conclusion using heuristics, backed up by qualitative assessment, supported by quantitative measures. Both maintenance performance perspectives are included in this overview.

A comprehensive review of maintenance performance metrics is offered, aiming to give, in a condensed form, an extensive introduction to MPM and a presentation of the state of the art in this field.

Service parts are needed for maintenance of industrial systems as well as for consumer products. Their logistics has an inherent difficulty: common models for inventory management are invalid, as the demand process is different and demand data scarce. The paper discusses experiences gained in case studies of practical stock control techniques. New concepts aimed to reduce the problem of slow moving parts are described, for example: suppliers leasing service parts; standardisation of parts for the group of machines in a factory or over a complete sector of industry; a “broker” between suppliers and customers who makes the service parts inventories transparent and facilitates pooling of parts.

The authors’ aim is to establish the variance of youth welfare citizenship regimes in Central and Eastern Europe (CEE) and to revisit the applicability of the regime approach to the emerging welfare regimes (EWRs).

The empirical analysis follows the descriptive case study strategy aiming to discover diversity of youth welfare citizenship patterns. The case selection is made within the CEE country group, which includes countries in Central Europe, the Baltics, Eastern Europe and Southeast Europe, all sharing the communist past. The subdivision of these countries in reference to the welfare states can be made via the European Union (EU) membership based on the assumption that EU social policy frameworks and recommendations have an important effect on domestic policies. We included countries which are in the EU, i.e., with a similar political and economic transition path. There were three waves of accession to the EU in CEE countries. In the first wave (2004), all the Baltic countries, Czech Republic, Slovakia, Poland, Hungary and Slovenia joined. In the second wave (2007), Romania and Bulgaria joined. Finally, Croatia joined the EU in 2013. Altogether 11 CEE countries are the EU members today, the remaining CEE countries are non-EU members and thus are excluded from the current research. Those countries which are part of the EU share similarities in social and economic reforms during the pre-accession period and after in order to reach a comparatively similar system with other member states. So, in terms of casing strategy these six countries can be named as emerging welfare regimes (EWRs) evolving transformations across different public policy areas. Handpicking of six countries out of 11 relies on the assumption that the Anglo-Saxon welfare system characteristics are more evident in the Baltic countries (Aidukaite, 2019; Aidukaite et al., 2020; Ainsaar et al., 2020; Rajevska and Rajevska, 2020) and Slovenia, while in Bulgaria and Croatia certain outcomes reflect the Bismarckian principles of social security (Hrast and Rakar, 2020; Stoilova and Krasteva, 2020; Dobrotić, 2020). This brings important variety into our analysis logic. Last but not least, we juxtapose six CEE EWR countries under analysis with six mature welfare regime countries representing different welfare regime types. Those mature welfare regime countries (Finland, Sweden, France, Germany, Italy, UK) are not an explicit object of the study but help to put analysed CEE EWR cases into larger context and thus, reflect upon theoretical claims of the welfare regime literature.

The authors can confirm that the EWR countries can be rather well explained by the welfare citizenship typology and complement the existing knowledge on youth welfare regime typology clusters in the Western Europe. Estonia is clustered close to the Nordic countries, whereas Latvia, Lithuania, Croatia and Slovenia are close to the Bismarckian welfare model despite rather flexible, non-restricted educational path, universal child and student support. Bulgaria is an outlier; however, it is clustered together with mature Mediterranean welfare regimes. Former intact welfare regime clusters are becoming more diverse. The authors’ findings confirm that there is no any intact cluster of the “post-communist” welfare regime and Eastern European countries are today “on move”.

Altogether 11 CEE countries are the EU members today. The remaining CEE countries are non-EU members and thus are excluded from the current research. Those countries which are part of the EU share similarities in social and economic reforms during the pre-accession period and after in order to reach a comparatively similar system with other member states. At least one CEE country was chosen based on existing theoretical knowledge on the welfare regime typology (Anglo Saxon, Beveridgean, Bismarckian) for the Post-communist country groups.

In the social citizenship dimension we dropped social assistance schemes and tax-relief indices and included poverty risk and housing measures. Youth poverty together with housing showed rather clear distinction between familialized and individualised countries and thus, made the typology stronger. In the economic dimension the preliminary picture was much fuzzier, mainly due to the comprehensive education in the region and intervention of the EU in domestic ALMPs (and VET) reforms. The authors added a new indicator (pro-youth orientation of ALMP) in order better to capture youth-sensitivity of policy.

The authors included a working poverty measure (in-work poverty rate) in order to reflect labour market insecurity as an increasing concern. Yet, the analysis results were still mixed and new indicators did not help locating the regime types.

In order to improve the validity of the youth welfare citizenship regime economic dimension, Chevalier's (2020) model may also be worth revisiting. The authors argue that this dichotomy is not sufficient, because inclusive type can have orientation towards general skills or occupational skills (i.e. monitored or enabling citizenship clusters), which is currently ignored. Chevalier (2020) furthermore associates inclusive economic citizenship with “coordinated market economies” (referring to Hall and Soskice, 2001), which seems hardly hold validity in the Nordic and at least some CEE countries.