This article aims at identification of the main trends in scientific literature characterising urban smart mobility, on the basis of bibliometric analysis of articles published in the ISI Web of Science and Scopus databases. The study period was set from 2000 to 2017. Authors used a basic technique of the bibliometric analysis of the scientific literature characterising urban smart mobility with the support of the VOSviewer software. The analysis included the number of publications, citation analysis, research area analysis and the most frequent keywords. The analysis led to taking notice of current research trends dealing with the urban smart mobility. The core of the paper is a theoretical framework of research trends, which was developed through a review of scientific literature. The result of this paper is a map showing the existing relationships between key terms, research areas characterising publications dealing with the urban smart mobility and intelligent transport system (ITS). “Smart city” is probably the most “in vogue”, debated and analysed concept among researchers and administrative/ governmental representatives from all over the world. This multidimensional concept is mainly based on smart technology structured around few major components: smart mobility, smart environment, smart governance, smart living, and everything that targets the people’s wellbeing. This work focuses on a hot topic – mobility because of its significant impact on the environment by pollution as well as living by requiring intelligent transport systems.

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De facto states-polities, such as Abkhazia (Georgia) or the Donetsk People's Republic (Ukraine), that appropriate many trappings of statehood without securing the status of full states-have been a constant presence in the postwar international order. Some de facto states, such as Northern Cyprus, survive for a long period of time. Others, including Tamil Eelam in Sri Lanka, are forcefully reintegrated into their parent states. Still others, such as Aceh in Indonesia, disappear as a result of peacemaking. A few, such as Eritrea, successfully transition to full statehood. What explains these very different outcomes? I argue that four factors account for much of this variation: the extent of military assistance that separatists receive from outside actors, the governance activities conducted by separatist insurgents, the fragmentation of the rebel movement, and the influence of government veto players. My analysis relies on an original dataset that includes all breakaway enclaves from 1945 to 2011. The findings enhance our understanding of separatist institutional outcomes, rebel governance, and of the conditions that sustain nonstate territorial actors. * Author's note: I am grateful to Karen Rasler, William R. Thompson, Robert Urbatsch, three anonymous reviewers, and the ISQ editors for their comments and suggestions. Supplementary materials, including the dataset, codebook, and replication files, are available on the ISQ website.

Sustainability performance assessment is a challenge for many companies due to the heterogeneity of indicators and the lack of a standardized reporting framework. This paper describes a software solution that simplifies the sustainability reporting process and is useful for decisions concerning sustainable management. We analyzed various indicators from public sustainability reports of five companies and obtained some relevant results using the tool that we developed based on mathematic algorithms and an aggregation model of different indicators. The software application calculates a Global Sustainability Index based on the proposed model of the sustainable organization described in this paper. An optimal solution is very rare in the transition towards the sustainable organization and compromises are required most frequently between environmental, economic and social aspects on the one hand and the expectations of the stakeholders on the other hand. The proposed tool helps users to cope with these challenges and takes into consideration that information is not always available and precise. Another feature offered by the tool is that besides simplifying sustainability performance assessment, it highlights low performance indicators and offers suggestions for improvement based on a genetic algorithm.

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