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This paper aims to establish the existence and enforceability of State responsibility for human trafficking, making special reference to children and Malta. Given that trafficking has been described by the European Court of Human Rights as a form of modern slavery, the paper's hypothesis is that the State has a responsibility to ensure that all possible steps are taken to combat the practice and to protect possible victims.

The paper is divided into three parts: the first part makes a concise review of the international criteria applied in response to human trafficking, the second part examines the pertaining situation relating to human trafficking in Malta and the final part makes an analysis of the recent judgment of the European Court of Human Rights in Rantsev v. Cyprus and Russia.

The paper demonstrates that the affirmation of State responsibility to combat human trafficking is enforceable, with reference to the Rantsev judgement which clearly attributes a positive obligation on States under Article 4. It also highlights the difficulty in tracing judgments related to human trafficking as evidenced by the review of the Maltese position, although this appears to be an issue common to a number of States which indiscriminately put together all cases for trafficking (drug trafficking and human trafficking).

The paper only uses first‐hand sources and Maltese judgements are supplemented with original research into cases as reported in the press. The third part of the work analyses the recent judgement of the European Court of Human Rights in Rantsev v. Cyprus and Russia (2010), speculating as to its impact on all member states of the Council of Europe, including Malta.

The purpose of this paper is to examine the effect of structural economic vulnerability of developing countries on their public indebtedness.

The authors perform the analysis by the use of fixed effects technique where the standard errors are corrected by the Driscoll-Kraay (1998) method. The panel covers 96 developing countries over the period 1980-2008.

The results suggest evidence of a “U-shaped” relationship between the structural vulnerability and the total public debt in developing countries. More particularly in low-income countries (LICs), the structural vulnerability appears to be a strong determinant of the build-up of the total public debt.

It would be interesting to extend the research to small Island developing states. Indeed, the authors do not include this group of countries because of lack of data, especially on the variable “quality of governance” for almost all countries of this group. Accordingly, the research should be extended to such countries as well as these data are available.

The implications of the study is that international institutions, including those of the Bretton Woods should take into account the structural vulnerability of developing countries when designing development policies, especially the ones related to debt sustainability in developing countries and particularly LICs.

The fact of the international institutions to take into account the structural vulnerability in the design of international development policy, especially those related to debt issues will have major implications on the macroeconomic policy design by these developing countries as well as on poverty reduction.

The added value of this paper is to use recent data on structural vulnerability to analyse the effect of the latter on public indebtdeness of developing countries.

The purpose of this paper is to advance knowledge of the transformative potential of big data on city-based transport models. The central question guiding this paper is: how could big data transform smart city transport operations? In answering this question the authors present initial results from a Markov study. However the authors also suggest caution in the transformation potential of big data and highlight the risks of city and organizational adoption. A theoretical framework is presented together with an associated scenario which guides the development of a Markov model.

A model with several scenarios is developed to explore a theoretical framework focussed on matching the transport demands (of people and freight mobility) with city transport service provision using big data. This model was designed to illustrate how sharing transport load (and capacity) in a smart city can improve efficiencies in meeting demand for city services.

This modelling study is an initial preliminary stage of the investigation in how big data could be used to redefine and enable new operational models. The study provides new understanding about load sharing and optimization in a smart city context. Basically the authors demonstrate how big data could be used to improve transport efficiency and lower externalities in a smart city. Further how improvement could take place by having a car free city environment, autonomous vehicles and shared resource capacity among providers.

The research relied on a Markov model and the numerical solution of its steady state probabilities vector to illustrate the transformation of transport operations management (OM) in the future city context. More in depth analysis and more discrete modelling are clearly needed to assist in the implementation of big data initiatives and facilitate new innovations in OM. The work complements and extends that of Setia and Patel (2013), who theoretically link together information system design to operation absorptive capacity capabilities.

The study implies that transport operations would actually need to be re-organized so as to deal with lowering CO₂ footprint. The logistic aspects could be seen as a move from individual firms optimizing their own transportation supply to a shared collaborative load and resourced system. Such ideas are radical changes driven by, or leading to more decentralized rather than having centralized transport solutions (Caplice, 2013).

The growth of cities and urban areas in the twenty-first century has put more pressure on resources and conditions of urban life. This paper is an initial first step in building theory, knowledge and critical understanding of the social implications being posed by the growth in cities and the role that big data and smart cities could play in developing a resilient and sustainable transport city system.

Despite the importance of OM to big data implementation, for both practitioners and researchers, we have yet to see a systematic analysis of its implementation and its absorptive capacity contribution to building capabilities, at either city system or organizational levels. As such the Markov model makes a preliminary contribution to the literature integrating big data capabilities with OM capabilities and the resulting improvements in system absorptive capacity.

How can people with lived experience of homelessness actively participate in contesting their marginalisation? The purpose of this paper is to suggest that involving people who are homeless in participatory action research (PAR) is one such strategy. This paper shows that such an approach can have a significant impact on empowering people with direct of experience of homelessness to challenge prevailing social discourses, particularly in terms of the way in which the local media presents homelessness as a social issue.

A PAR approach informed the design, development and dissemination of the study on which this paper is based. Analytically, it is underpinned by Foucauldian discourse analysis (FDA). FDA, with its focus on power relations in society, is noted to be particularly useful for analysing local media representations of homeless people.

The research reported here found that academic practitioners and homeless people can work together to challenge media discourses, which serve to marginalise people affected by homelessness.

The research reported here served to challenge some of the ways in homeless people are victimized and stigmatized.

The research reported here has the potential to inform future research concerned with understanding media presentations of homeless people. It can be seen as a model for how people affected by a particularly pernicious social issue can contribute to research in ways that go beyond researching for the sake of research.

The research reported here provides evidence of the emancipatory value of research that seeks to bring academic practitioners and homeless people together in a partnership to challenge vital social issues such as the power of the local media to frame understandings of homelessness.