Generic unified modelling process for developing semantically rich, dynamic and temporal models

Models play a vital role in supporting a range of activities in numerous domains. We rely on models to support the design, visualisation, analysis and representation of parts of the world around us, and as such significant research effort has been invested into numerous areas of modelling; including support for model semantics, dynamic states and behaviour, temporal data storage and visualisation. Whilst these efforts have increased our capabilities and allowed us to create increasingly powerful software-based models, the process of developing models, supporting tools and /or data structures remains difficult, expensive and error-prone. In this paper we define from literature the key factors in assessing a model’s quality and usefulness: semantic richness, support for dynamic states and object behaviour, temporal data storage and visualisation. We also identify a number of shortcomings in both existing modelling standards and model development processes and propose a unified generic process to guide users through the development of semantically rich, dynamic and temporal models.

Assessing the business risk of technology obsolescence through enterprise modelling

The problem of technology obsolescence in information intensive businesses (software and hardware no longer being supported and replaced by improved and different solutions) and a cost constrained market can severely increase costs and operational, and ultimately reputation risk. Although many businesses recognise technological obsolescence, the pervasive nature of technology often means they have little information to identify the risk and location of pending obsolescence and little money to apply to the solution. This paper presents a low cost structured method to identify obsolete software and the risk of their obsolescence where the structure of a business and its supporting IT resources can be captured, modelled, analysed and the risk to the business of technology obsolescence identified to enable remedial action using qualified obsolescence information. The technique is based on a structured modelling approach using enterprise architecture models and a heatmap algorithm to highlight high risk obsolescent elements. The method has been tested and applied in practice in two consulting studies carried out by Capgemini involving three UK police forces. However the generic technique could be applied to any industry based on plans to improve it using ontology framework methods. This paper contains details of enterprise architecture meta-models and related modelling.

Modelling the resistance of Enterprise Architecture adoption: linking strategic level of Enterprise Architecture to organisational changes and change resistance

During the last few years Enterprise Architecture (EA) has received increasing attention among industry and academia. By adopting EA, organisations may gain a number of benefits such as better decision making,increased revenues and cost reduction, and alignment of business and IT. However, EA adoption has been found to be difficult. In this paper a model to explain resistance during EA adoption process (REAP) is introduced and validated. The model reveals relationships between strategic level of EA, resulting organisational changes, and sources of resistance. By utilising REAP model, organisations may anticipate and prepare for the organisational change resistance during EA adoption.

Design of a unified data with business rules storage model for OLTP and OLAP systems

This paper reviews the literature concerning the practice of using Online Analytical Processing (OLAP) systems to recall information stored by Online Transactional Processing (OLTP) systems. Such a review provides a basis for discussion on the need for the information that are recalled through OLAP systems to maintain the contexts of transactions with the data captured by the respective OLTP system. The paper observes an industry trend involving the use of OLTP systems to process information into data, which are then stored in databases without the business rules that were used to process information and data stored in OLTP databases without associated business rules. This includes the necessitation of a practice, whereby, sets of business rules are used to extract, cleanse, transform and load data from disparate OLTP systems into OLAP databases to support the requirements for complex reporting and analytics. These sets of business rules are usually not the same as business rules used to capture data in particular OLTP systems. The paper argues that, differences between the business rules used to interpret these same data sets, risk gaps in semantics between information captured by OLTP systems and information recalled through OLAP systems. Literature concerning the modeling of business transaction information as facts with context as part of the modelling of information systems were reviewed to identify design trends that are contributing to the design quality of OLTP and OLAP systems. The paper then argues that; the quality of OLTP and OLAP systems design has a critical dependency on the capture of facts with associated context, encoding facts with contexts into data with business rules, storage and sourcing of data with business rules, decoding data with business rules into the facts with the context and recall of facts with associated contexts. The paper proposes UBIRQ, a design model to aid the co-design of data with business rules storage for OLTP and OLAP purposes. The proposed design model provides the opportunity for the implementation and use of multi-purpose databases, and business rules stores for OLTP and OLAP systems. Such implementations would enable the use of OLTP systems to record and store data with executions of business rules, which will allow for the use of OLTP and OLAP systems to query data with business rules used to capture the data. Thereby ensuring information recalled via OLAP systems preserves the contexts of transactions as per the data captured by the respective OLTP system.

Trust-By-Contract: Modelling, Analysing and Predicting Behaviour in Software Architectures

Architecture description languages (ADLs) are used to specify high-level, compositional views of a software application. ADL research focuses on software composed of prefabricated parts, so-called software components. ADLs usually come equipped with rigorous state-transition style semantics, facilitating verification and analysis of specifications. Consequently, ADLs are well suited to configuring distributed and event-based systems. However, additional expressive power is required for the description of enterprise software architectures – in particular, those built upon newer middleware, such as implementations of Java’s EJB specification, or Microsoft’s COM+/.NET. The enterprise requires distributed software solutions that are scalable, business-oriented and mission-critical. We can make progress toward attaining these qualities at various stages of the software development process. In particular, progress at the architectural level can be leveraged through use of an ADL that incorporates trust and dependability analysis. Also, current industry approaches to enterprise development do not address several important architectural design issues. The TrustME ADL is designed to meet these requirements, through combining approaches to software architecture specification with rigorous design-by-contract ideas. In this paper, we focus on several aspects of TrustME that facilitate specification and analysis of middleware-based architectures for trusted enterprise computing systems.

Business To Business (B2B) Service Processes: An Approach To Customer Complaint Process Evaluation Towards Service Excellence

Trabalho de Dissertação que identifica as decisões estratégicas relacionadas com a estrutura de gestão de serviços, no contexto de tratamento de reclamações. Os temas de recuperação de serviços e gestão de reclamações são discutidos e são listadas as melhores práticas com o objetivo de prover qualidade de serviço excelente. Este trabalho apresenta uma revisão da literatura sobre gestão de serviços e sua estratégia, e sobre valor aos clientes e sua satisfação. Qualidade de Serviço, Recuperação de Serviço e Gestão de Reclamações são revistos, também para contextualizar o processo de tratamento de reclamações de uma empresa do ramo industrial em ambiente de negócios entre empresas (business to business), cujos dados foram utilizados para construção do modelo de simulação de um processo de tratamento de reclamações. Os resultados desta simulação, junto com o suporte de um questionário sobre tratamento de reclamações, proveram pontos de reflexão e recomendações sobre desenho da estrutura de serviços e de seu desempenho, voltados para a satisfação dos clientes.

Growth process in business and social entrepreneurship: the case of Brazil

The purpose of the dissertation is to investigate in depth the difference between the challenges social and business entrepreneurs face in the growth phase of their business in the particular environment of Brazil. This objective has been achieved through a two-steps methodology. The first step is a set of in-depth interviews carried out with industry experts such as professors, venture capitalists, consultants, fund managers or people involved in the support of growing startups (i.e. accelerators). These interviews allowed, first, to build a general perspective on the environment entrepreneurs operate into and to identify a list of challenges entrepreneurs face in the growth process of their business. This list was completed with the additional challenges identified in the previous literature. The second step of the methodology was to test the relevance of these challenges in the mind and experience of social and traditional entrepreneurs. A questionnaire was then submitted to 145 social and 286 traditional entrepreneurs. The results were statistically analyzed to test the relative relevance of these challenges for one group of entrepreneurs with respect to the other. The outcome of the analysis was significant. The most relevant challenges identified were, for both groups, taxation, bureaucracy, finding the right employees, creating effective teams, measuring firm performance and social value creation and obtaining funds. On the other side motivation, innovation, competition and lack of market space for growth represented the least relevant issues in the minds of entrepreneurs. This rank however did not differ significantly from social to traditional entrepreneurs. This testifies that in Brazil social and traditional entrepreneurs face the same set of challenges despite the widespread belief of the opposite.