The EU's 'transnational power over' Central Asia:Developing and applying a structurally integrative approach to the study of the EU's power over Central Asia

This thesis challenges the consensual scholarly expectation of low EU impact in Central Asia. In particular, it claims that by focusing predominantly on narrow, micro-level factors, the prevailing theoretical perspectives risk overlooking less obvious aspects of the EU?s power, including structural aspects, and thus tend to underestimate the EU?s leverage in the region. Therefore, the thesis argues that a more structurally integrative and holistic approach is needed to understand the EU?s power in the region. In responding to this need, the thesis introduces a conceptual tool, which it terms „transnational power over? (TNPO). Inspired by debates in IPE, in particular new realist and critical IPE perspectives, and combining these views with insights from neorealist, neo-institutionalist and constructivist approaches to EU external relations, the concept of TNPO is an analytically eclectic notion, which helps to assess the degree to which, in today?s globalised and interdependent world, the EU?s power over third countries derives from its control over a combination of material, institutional and ideational structures, making it difficult for the EU?s partners to resist the EU?s initiatives or to reject its offers. In order to trace and assess the mechanisms of EU impact across these three structures, the thesis constructs a toolbox, which centres on four analytical distinctions: (i) EU-driven versus domestically driven mechanisms, (ii) mechanisms based on rationalist logics of action versus mechanisms following constructivist logics of action, (iii) agent-based versus purely structural mechanisms of TNPO, and (iv) transnational and intergovernmental mechanisms of EU impact. Using qualitative research methodology, the thesis then applies the conceptual model to the case of EU-Central Asia. It finds that the EU?s power over Central Asia effectively derives from its control over a combination of material, institutional and ideational structures, including its position as a leader in trade and investment in the region, its (geo)strategic and security-related capabilities vis-à-vis Central Asia, as well as the relatively dense level of institutionalisation of its relations with the five countries and the positive image of the EU in Central Asia as a more neutral actor.

Managing diversity in organizations:an integrative model and agenda for future research

The literature on policies, procedures, and practices of diversity management in organizations is currently fragmented and often contradictory in highlighting what is effective diversity management, and which organizational and societal factors facilitate or hinder its implementation. In order to provide a comprehensive and cohesive view of diversity management in organizations, we develop a multilevel model informed by the social identity approach that explains, on the basis of a work motivation logic, the processes by, and the conditions under which employee dissimilarity within diverse work groups is related to innovation, effectiveness, and well-being. Building on this new model, we then identify those work group factors (e.g., climate for inclusion and supervisory leadership), organizational factors (e.g., diversity management policies and procedures, and top management's diversity beliefs), and societal factors (e.g., legislation, socioeconomic situation, and culture) that are likely to contribute to the effective management of diversity in organizations. In our discussion of the theoretical implications of the proposed model, we offer a set of propositions to serve as a guide for future research. We conclude with a discussion of possible limitations of the model and practical implications for managing diversity in organizations. © 2014 Taylor & Francis.

A taxonomy and review of the fuzzy data envelopment analysis literature:two decades in the making

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. Crisp input and output data are fundamentally indispensable in conventional DEA. However, the observed values of the input and output data in real-world problems are sometimes imprecise or vague. Many researchers have proposed various fuzzy methods for dealing with the imprecise and ambiguous data in DEA. In this study, we provide a taxonomy and review of the fuzzy DEA methods. We present a classification scheme with four primary categories, namely, the tolerance approach, the a-level based approach, the fuzzy ranking approach and the possibility approach. We discuss each classification scheme and group the fuzzy DEA papers published in the literature over the past 20 years. To the best of our knowledge, this paper appears to be the only review and complete source of references on fuzzy DEA. © 2011 Elsevier B.V. All rights reserved.

An integrative approach to developing an intercultural awareness strategy in a multicultural university

Universities are increasingly diverse places; in terms of staff and students, their nationality, ethnicity and religious backgrounds. HEIs need to find ways of ensuring that this diversity adds to the life of the institution and to the development of graduates as employees in a global workplace. The paper offers a case study of one way of developing an intercultural strategy at a UK university. The university concerned has a highly multicultural and multinational staff and student population. Over many years the university has worked to celebrate and embed this diversity into the culture and values of the institution; in its learning, teaching, business operations and relationships. The university wished to develop its intercultural awareness strategy in an inspirational and vibrant way, one which was informed by research and practice. The paper proposes a new integrative approach to developing an intercultural strategy, and summarises some reflections on the process of creating the intercultural awareness strategy which may be of use to other institutions. Analysis showed that in order to make the strategy effective there had to be commitment from senior management to match innovative practices at an individual level. It is also clear that such a strategy must include formal policies and procedures, as well as more informal channels to allow people to express intercultural differences and shared values. The critical role of middle management in strategy implementation is also discussed.

Techonology usage in the supply chain:the case of small 3PLs

In today's supply chain management practices, a successful strategy depends increasingly on the performance of third party logistics (3PLs) providers as they play a key integrative role linking the different supply chain elements more effectively. Information and communications technology (ICT) has become an important element of 3PL competitive capability as it enables higher levels of supply chain integration. Recent industry developments have widened the technological gap between large and small 3PLs. This is critical particularly for those markets populated by a large number of small 3PLs such as the Italian logistics industry. The purpose of this paper is to provide an overview of ICT adoption in small logistics service providers. The focus of the study is the Italian 3PL market. The methodology adopted in this paper is based on the action research framework and it is a combination of theoretical analysis and empirical findings (focus groups and surveys). Firstly, a literature review on ICT dissemination in the international and Italian 3PL industry has been carried out. Then, a field survey has been developed preceded by two focus groups. The empirical investigation examined a sample of 153 small Italian 3PLs on the base of a definition and taxonomy proposed by the authors. The results provide a useful technological profile of the surveyed companies, as well as an analysis of the role of ICT in customising services and of the factors influencing ICT adoption. To give a more robust scientific justification of the survey results, it would be useful to carry out an additional large-scale analysis including other countries with a high presence of small logistics service companies. Furthermore, a complementary case-study analysis would be of help in defining the role of specific factors in different types of 3PL. Further investigations in this field are needed to better understand innovation paths, and how ICT can improve the competitive capabilities of 3PLs and of the wider supply chain. Managers of small 3PLs can use the findings to set-up guidelines for improving a company's technology innovation. Technology vendors can use the findings to better market their service/product into the small logistics service provider segment. Despite the fact that much has been written about the dissemination of ICT, there is still a shortage of research in the field of small 3PLs with little empirical investigation into the usage of ICT by small 3PLs. This paper provides a contribution to filling this void and suggests some possible research directions.

A taxonomy of measures for consumer-based brand equity:drawing on the views of managers in Europe

Purpose: The purpose of this paper is to identify the components of consumer-based brand equity from the perspective of experts in brand management in the UK, Germany and Greece. Design/methodology/approach: Data were collected from semi-structured interviews with senior brand consultants and managers, five in the UK, five in Germany and five in Greece. Findings: The findings suggested four categories of measures which can be used to define brand equity. These are the consumers' understanding of brand characteristics; consumers' brand evaluation; consumers' affective response towards the brand; and consumers' behaviour towards the brand. Specific dimensions are identified as indicators of each category. Research limitations/implications: Although the focus of this study is Europe, data were only collected from the UK, Germany and Greece, countries representing three of the five European cultural clusters. The resultant taxonomy adds to the fragmented literature on brand equity measurement by proposing four categories to gauge brand equity. Practical implications: The suggested taxonomy provides indicators of a framework managers could use when assessing brand equity. Originality/value: There is little agreement on what constitutes brand equity and therefore measures of brand equity are fragmented. To date, the views of practicing managers have not been taken into account in research. This paper draws on the views of practitioners and academics to suggest a taxonomy of categories of measures for brand equity. © Emerald Group Publishing Limited.

A taxonomy of heterogeneity and dynamics in particle swarm optimisation

We propose a taxonomy for heterogeneity and dynamics of swarms in PSO, which separates the consideration of homogeneity and heterogeneity from the presence of adaptive and non-adaptive dynamics, both at the particle and swarm level. It thus supports research into the separate and combined contributions of each of these characteristics. An analysis of the literature shows that most recent work has focussed on only parts of the taxonomy. Our results agree with prior work that both heterogeneity and dynamics are useful. However while heterogeneity does typically improve PSO, this is often dominated by the improvement due to dynamics. Adaptive strategies used to generate heterogeneity may end up sacrificing the dynamics which provide the greatest performance increase. We evaluate exemplar strategies for each area of the taxonomy and conclude with recommendations.

Integrative bioinformatics for functional genorne annotation:trawling for G protein-coupled receptors

G protein-coupled receptors (GPCR) are amongst the best studied and most functionally diverse types of cell-surface protein. The importance of GPCRs as mediates or cell function and organismal developmental underlies their involvement in key physiological roles and their prominence as targets for pharmacological therapeutics. In this review, we highlight the requirement for integrated protocols which underline the different perspectives offered by different sequence analysis methods. BLAST and FastA offer broad brush strokes. Motif-based search methods add the fine detail. Structural modelling offers another perspective which allows us to elucidate the physicochemical properties that underlie ligand binding. Together, these different views provide a more informative and a more detailed picture of GPCR structure and function. Many GPCRs remain orphan receptors with no identified ligand, yet as computer-driven functional genomics starts to elaborate their functions, a new understanding of their roles in cell and developmental biology will follow.

More than money:developing an integrative multi-factorial measure of entrepreneurial success

This article conceptualises and operationalizes ‘subjective entrepreneurial success’ in a manner which reflects the criteria employed by entrepreneurs, rather than those imposed by researchers. Using two studies, a first qualitative enquiry investigated success definitions using interviews with 185 German entrepreneurs; five factors emerged from their reports: firm performance, workplace relationships, personal fulfilment, community impact, and personal financial rewards. The second study developed a questionnaire, the Subjective Entrepreneurial Success–Importance Scale (SES-IS), to measure these five factors using a sample of 184 entrepreneurs. We provide evidence for the validity of the SES-IS, including establishing systematic relationships of SES-IS with objective indicators of firm success, annual income and entrepreneur satisfaction with life and financial situation. We also provide evidence for the cross-cultural invariance of SES-IS using a sample of Polish entrepreneurs. The quintessence of our studies being that subjective entrepreneurial success is a multi-factorial construct, i.e. entrepreneurs value various indicators of success with money as only one possible option.

Bloom's Taxonomy and Training in Programming Style

Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013

A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining

Big data comes in various ways, types, shapes, forms and sizes. Indeed, almost all areas of science, technology, medicine, public health, economics, business, linguistics and social science are bombarded by ever increasing flows of data begging to be analyzed efficiently and effectively. In this paper, we propose a rough idea of a possible taxonomy of big data, along with some of the most commonly used tools for handling each particular category of bigness. The dimensionality p of the input space and the sample size n are usually the main ingredients in the characterization of data bigness. The specific statistical machine learning technique used to handle a particular big data set will depend on which category it falls in within the bigness taxonomy. Large p small n data sets for instance require a different set of tools from the large n small p variety. Among other tools, we discuss Preprocessing, Standardization, Imputation, Projection, Regularization, Penalization, Compression, Reduction, Selection, Kernelization, Hybridization, Parallelization, Aggregation, Randomization, Replication, Sequentialization. Indeed, it is important to emphasize right away that the so-called no free lunch theorem applies here, in the sense that there is no universally superior method that outperforms all other methods on all categories of bigness. It is also important to stress the fact that simplicity in the sense of Ockham’s razor non-plurality principle of parsimony tends to reign supreme when it comes to massive data. We conclude with a comparison of the predictive performance of some of the most commonly used methods on a few data sets.

Imagined intergroup contact and common ingroup identity:an integrative approach

We conducted two studies involving two different age groups (elementary school children and adults) aimed at integrating imagined contact and common ingroup identity models. In the first study, Italian elementary school children were asked to imagine interacting with an unknown immigrant peer as members of a common group. Results revealed that common ingroup imagined contact, relative to a control condition, improved outgroup helping intentions assessed 1 week and 2 weeks after the intervention. In the second study, common ingroup imagined contact led Italian university students to display higher intentions to have contact with immigrants compared to control conditions. In conclusion, results from both studies demonstrate that imagining an intergroup interaction as members of the same group strengthens the effects of imagined contact. These findings point to the importance of combining the common ingroup identity model and the imagined contact theory in order to increase the potentiality of prejudice reduction interventions.