Applying model-driven engineering to the development of Rich Internet Applications for Business Intelligence

Business Intelligence (BI) applications have been gradually ported to the Web in search of a global platform for the consumption and publication of data and services. On the Internet, apart from techniques for data/knowledge management, BI Web applications need interfaces with a high level of interoperability (similar to the traditional desktop interfaces) for the visualisation of data/knowledge. In some cases, this has been provided by Rich Internet Applications (RIA). The development of these BI RIAs is a process traditionally performed manually and, given the complexity of the final application, it is a process which might be prone to errors. The application of model-driven engineering techniques can reduce the cost of development and maintenance (in terms of time and resources) of these applications, as they demonstrated by other types of Web applications. In the light of these issues, the paper introduces the Sm4RIA-B methodology, i.e., a model-driven methodology for the development of RIA as BI Web applications. In order to overcome the limitations of RIA regarding knowledge management from the Web, this paper also presents a new RIA platform for BI, called RI@BI, which extends the functionalities of traditional RIAs by means of Semantic Web technologies and B2B techniques. Finally, we evaluate the whole approach on a case study—the development of a social network site for an enterprise project manager.

A Novel Prediction Method for Early Recognition of Global Human Behaviour in Image Sequences

Human behaviour recognition has been, and still remains, a challenging problem that involves different areas of computational intelligence. The automated understanding of people activities from video sequences is an open research topic in which the computer vision and pattern recognition areas have made big efforts. In this paper, the problem is studied from a prediction point of view. We propose a novel method able to early detect behaviour using a small portion of the input, in addition to the capabilities of it to predict behaviour from new inputs. Specifically, we propose a predictive method based on a simple representation of trajectories of a person in the scene which allows a high level understanding of the global human behaviour. The representation of the trajectory is used as a descriptor of the activity of the individual. The descriptors are used as a cue of a classification stage for pattern recognition purposes. Classifiers are trained using the trajectory representation of the complete sequence. However, partial sequences are processed to evaluate the early prediction capabilities having a specific observation time of the scene. The experiments have been carried out using the three different dataset of the CAVIAR database taken into account the behaviour of an individual. Additionally, different classic classifiers have been used for experimentation in order to evaluate the robustness of the proposal. Results confirm the high accuracy of the proposal on the early recognition of people behaviours.

Global behavior of the Douglas–Rachford method for a nonconvex feasibility problem

In recent times the Douglas–Rachford algorithm has been observed empirically to solve a variety of nonconvex feasibility problems including those of a combinatorial nature. For many of these problems current theory is not sufficient to explain this observed success and is mainly concerned with questions of local convergence. In this paper we analyze global behavior of the method for finding a point in the intersection of a half-space and a potentially non-convex set which is assumed to satisfy a well-quasi-ordering property or a property weaker than compactness. In particular, the special case in which the second set is finite is covered by our framework and provides a prototypical setting for combinatorial optimization problems.

Strategic knowledge serendipity and arbitrage & intellectual venture capitalists: An emerging breed of knowledge entrepreneurs; and Part II: Global and Local (GloCal) knowledge logistics for innovation and competitiveness. ACES Working Papers, August 2009

Strategic Knowledge: While entrepreneurship may occur as a natural result of personal drive, it occurs most often, most robustly and is most sustainable in an environment designed to encourage it. Potential entrepreneurs become active entrepreneurs when the conditions are most supportive of their commercial opportunities and their business thus helping channel the two key qualities they exhibit as individuals obsessed maniacs and clairvoyant oracles (Carayannis, GWU Lectures, 2000-2005) and (Carayannis et at, 2003a) towards the generation of sustainable wealth. So far, entrepreneurial scholars who turn into intellectual venture capitalists by founding knowledge-driven companies remain one of the least explored specie in the territory of entrepreneurship. GloCal: The increasing engagement of firms within global knowledge and production networks and their ability to source knowledge globally as well as locally (GloCally), for the development of innovation capacities will shape the future of UK's knowledge resources and its role in the global economy. Practices such as off-shoring R&D activities are widely adopted, creating challenging, and not very well understood, issues related to cross-country and inter-firm knowledge and technology flows. We seek to address the internationalisation and networking of research and innovation activities, including the roles and strategies of enterprises, universities, research centres, governments in a cross-country and inter-sectoral way, to assess the impact and the implications for sustaining and enhancing the competitiveness of UK firms and other British knowledge producers and users.

The European Pharmaceutical Industry in a Global Economy: what drives EU exports of pharmaceuticals?. Bruges European Economic Research Papers (BEER) 31/2015.

The pharmaceutical industry is one of the most competitive sectors in the European Union. With its substantial investments in research and development, this industry represents a key asset for the European economy and a major source of growth and employment. However, despite the importance of the pharmaceutical sector for the European Union, few researchers have attempted to assess the determinants of the EU exports of pharmaceuticals. This paper aims at filling the aforementioned gap by examining what drives EU exports of pharmaceuticals. In order to tackle this question, this paper has derived hypotheses from the Gravity Model of Trade and the relevant academic literature on pharmaceuticals. Based on an econometric analysis, the research sheds light on the complex interaction of factors influencing the EU exports of pharmaceuticals. The paper finds that the protection of intellectual property in the receiving countries, their economic size, the importance of their health sector, and the quality of infrastructures constitute major drivers to the EU exports of pharmaceuticals. On the contrary, the research shows that transports costs as well as tariff barriers and non-tariff barriers tend to hinder the EU exports of pharmaceuticals.

Going Global, Going West! Chinese Direct Investment in Germany. Asia Policy Brief 2014/03, May 2014

Chinese investors are welcome! Germany’s Federal Minister of Economy, Sigmar Gabriel, made this clear at the opening ceremony of the Chinese Chamber of Commerce in Berlin in January 2014. His words were not only meant as an invitation to Chinese companies, but also as a piece of advice for Germany’s business community and broader public. Chinese investors are often perceived to be going on a “global shopping spree” with a “political checkbook”, not only in Germany but everywhere in Europe. Some observers even suggest stricter controls for investors from specific countries, such as China. The German government is right to pursue the principle of a free trade and investment regime, while insisting that China’s government should level the playing field for foreign companies, too.

Analisi e riprogettazione dei processi aziendali in un’azienda di Global Service. Il caso A.C.R. S.p.A.

La tesi tratta dell'analisi e della riprogettazione dei processi in un'azienda di global service. Vengono pertanto illustrati le principali metodologie e teorie riguardanti il process management e gli strumenti di supporto più utilizzati per la modellazione dei processi. Viene inoltre presentato il caso riguardante l'azienda ACR SpA, in cui si è eseguita la riprogettazione dei processi critici al fine di migliorare sensibilmente i principali parametri di performance del sistema. Tale riprogettazione è stata finalizzata all'introduzione di un sistema di document management all'interno delle principali funzioni aziendali, grazie a cui si è potuto razionalizzare e automatizzare i processi ritenuti critici ottenendo una sensibile riduzione dei relativi lead time e costi di processo, quantificata attraverso KPI definiti ad hoc. In conclusione la tesi ha permesso di illustrare con un caso pratico l'applicazione degli strumenti di business process reengineering, evidenziandone i pregi e ribadendo l'importanza della continua ricerca di efficienza all'interno dei processi di business aziendali.

Latin Americaʹs emergence in global services: a new driver of structural change in the region?

Studies of international production acknowledge that the ability of firms to learn, upgrade and innovate in global value chains (GVCs) is influenced by knowledge flows within these global networks and by the national institutional systems in which the firms are embedded. Little is known, however, about how differences in national innovation and business systems shape the way firms and national economies insert themselves in global value chains and how this influences their upgrading trajectories. Based on a review of the existing academic literature, the chapter examines the impact of national innovation and business systems from middle-income and developing countries on learning and innovation processes in services GVCs.

Towards definition of the global biotechnology value chain using cases from Australian biotechnology SMEs

The generic pharmaceutical value chain model has been employed to describe both the global pharmaceutical and biotechnology industries till now. This research investigates the organisational value chain in Australian biotechnology companies in order to assess the appropriateness of the pharmaceutical value chain to small-and medium-sized biotechnology companies. The main theme of the research is: Can a generic model of the organisational value chain be defined for the biotechnology industry? Emanating from the literature, two research propositions were developed. RP1: there are eight major definable elements/activities of the organisational value chain for the biotechnology industry. RP2: Coverage of the elements in the biotechnology value chain ranges from focused to broad. A multiple case study methodology was used to explore these propositions. To develop a number of case studies, data was collected from senior managers of small and medium Australian biotechnology companies using an interview instrument, as well as from publicly available documentation and through observation. The results were analysed using cross-case comparisons. The results showed that an aggregation of the value chains of each organisation can be reduced to these eight definable elements that constitute the biotechnology value chain: basic research, applied research, development, verification and validation, prototype development, clinical trials, manufacturing and marketing. However, the findings also indicate that these major elements of the value chain need to be further reduced into sub-activities or sub-tasks to cater for the unique differences between biotechnology companies. Generally, the findings were consistent with the literature. However, a wider sampling, including international biotechnology organisations should be studied. The major contribution of this research is in the development of a value chain model, including general sub-tasks, for the Australian biotechnology industry.

Dual paths to performance: the impact of global pressures on MNC subsidiary conduct and performance

Over the last decade, the international business literature has placed ever-greater emphasis on the role that learning and innovation play in determining multinational and multinational subsidiary performance. The present research seeks to understand the organizational paths leading to such desirable outcomes as greater learning, increased innovation and improved performance. Using a model tested with data collected through a survey of managers in subsidiaries of multinational firms, we find dual, independent paths to improved performance - one through networking and inter-unit learning and the other through subsidiary autonomy and innovation. A particular feature of these findings is that they can be shown to be robust after controlling for a wide range of environmental pressures and firm and industry factors. However, in the absence of environmental controls the dual path finding is rejected. These conflicting findings support the imperative to test models that include a diverse range of environmental pressures so that the true effects of organizational factors on learning, innovation and performance can be identified.

Brand loyalties: rethinking content within global corporate media

Translating content from one media platform to another, a process here dubbed content streaming, is the leitmotif of contemporary globalized media. Yet widely divergent interpretations of the phenomenon have emerged. Academic political economy interprets content streaming as powerfully inimical to cultural diversity, media competition and freedom of speech. Mainstream business reporting, working from an opposing media economics schema, pillories ‘synergy’-based content strategies as oversold in theory and unworkable in practice. Challenging this established trend for the disciplines to develop in parallel, the article harnesses mainstream critique of content streaming to political economy’s traditionally circumspect view of corporate media. Examining first the commercial rationales for pursuing content streaming, before turning to the financial and managerial constraints on realizing these goals, the article positions content streaming as less all-pervasive than political economists have feared, but more commercially entrenched than the financial press currently allows.

Model driven distribution of collaborative business processes

In this paper, we present a top down approach for integrated process modelling and distributed process execution. The integrated process model can be utilized for global monitoring and visualization and distributed process models for local execution. Our main focus in this paper is the presentation of the approach to support automatic generation and linking of distributed process models from an integrated process definition.