Bridging the gap between business process models and service-oriented architectures with reference to the grid environment

In recent years, organisations have been seeking technological solutions for enacting their business process models using ad-hoc and heuristic approaches. However, limited results have been obtained due to the expansion of business processes across geographical boundaries and the absence of structured methods, frameworks and/or Information Technology (IT) infrastructures to enact these processes. In an attempt to enact business process models using distributed technologies, we introduce a novel architectural framework to bridge the gap between business process models and Grid-aware Service-Oriented Architectures (GSOA). BPMSOA framework is aligned with the Model-Driven Engineering (MDE) approach and is instantiated for role-based business process models [in particular Role Activity Diagramming (RAD)], using mobile process languages such as pi-ADL. The evaluation of the BPMSOA framework using the Submission process from the digital libraries domain has revealed that role-based business process models can be successfully enacted in GSOA environments with certain limitations. © 2011 Inderscience Enterprises Ltd

Business process quality measurement using advances in static code analysis

Business process models play an important role in the life of a company. Resemblances between software programs and business processes inspired several researchers to adapt software metrics from the field of static code analysis to help designers to build more effective and understandable processes. This paper aims to add recent advances in software quality measurement such as benchmarking and ISO/IEC 25010 standard based quality models to business process quality measurement. These techniques were proved to be very useful in software engineering both for managers and developers; moreover, they can be easily adopted to business process workflows. We focused on a specific type of flowchart called event-driven process chain (EPC), because in an EPC the activities are very often managed by software systems and our assumption is that the quality of these software systems affects the quality of the EPC itself. The presented business process quality model also uses the quality and test coverage metrics of these software systems besides business process metrics

Modeling control objectives for business process compliance

Business process design is primarily driven by process improvement objectives. However, the role of control objectives stemming from regulations and standards is becoming increasingly important for businesses in light of recent events that led to some of the largest scandals in corporate history. As organizations strive to meet compliance agendas, there is an evident need to provide systematic approaches that assist in the understanding of the interplay between (often conflicting) business and control objectives during business process design. In this paper, our objective is twofold. We will firstly present a research agenda in the space of business process compliance, identifying major technical and organizational challenges. We then tackle a part of the overall problem space, which deals with the effective modeling of control objectives and subsequently their propagation onto business process models. Control objective modeling is proposed through a specialized modal logic based on normative systems theory, and the visualization of control objectives on business process models is achieved procedurally. The proposed approach is demonstrated in the context of a purchase-to-pay scenario

A pivotal-based approach for enterprise business process and IS integration

A company must be able to describe and react against any endogenous or exogenous event. Such flexibility can be achieved through business process management (BPM). Nevertheless a BPM approach highlights complex relations between business and IT domains. A non-alignment is exposed between heterogeneous models: this is the 18business-IT gap 19 as described in the literature. Through concepts from business engineering and information systems driven by models and IT, we define a generic approach ensuring multi-view consistency. Its role is to maintain and provide all information related to the structure and semantic of models. Allowing the full return of a transformed model in the sense of reverse engineering, our platform enables synchronisation between analysis model and implementation model

Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed?

As a research field, artificial intelligence (AI) exists for several years. More recently, technological breakthroughs, coupled with the fast availability of data, have brought AI closer to commercial use. Internet giants such as Google, Amazon, Apple or Facebook invest significantly into AI, thereby underlining its relevance for business models worldwide. For the highly data driven finance industry, AI is of intensive interest within pilot projects, still, few AI applications have been implemented so far. This study analyzes drivers and inhibitors of a successful AI application in the finance industry based on panel data comprising 22 semi-structured interviews with experts in AI in finance. As theoretical lens, we structured our results using the TOE framework. Guidelines for applying AI successfully reveal AI-specific role models and process competencies as crucial, before trained algorithms will have reached a quality level on which AI applications will operate without human intervention and moral concerns

THE ROLE OF PATH DEPENDENCE IN THE BUSINESS MODEL ADAPTATION: FROM TRADITIONAL TO DIGITAL BUSINESS MODELS

The digital context has driven new prospects of value creation and capture thus challenging and disrupting the traditional business models. Organizations need business models to transform the specific inherent logic of digital information products into new ways of creating economic value creation and appropriation. Thus, the business model change is an imperative for organizations to exploit value creation opportunities and to survive. Over time, however, business models become deeply embedded and they represent the dominant logic of the organization. Moreover the shift to the digital context poses additional cognitive constrains due to the characteristics inherent in digital information products that are quite distinct from the conventional ones, hence requiring a fundamental shift of dominant logic. This proposed study aims to explore the role of cognitive path dependencies originating in the non-digital context as an isolating mechanism in the process of creation of new digital business mode

On the representational bias in process mining

Process mining serves a bridge between data mining and business process modeling. The goal is to extract process related knowledge from event data stored in information systems. One of the most challenging process mining tasks is process discovery, i.e., the automatic construction of process models from raw event logs. Today there are dozens of process discovery techniques generating process models using different notations (Petri nets, EPCs, BPMN, heuristic nets, etc.). This paper focuses on the representational bias used by these techniques. We will show that the choice of target model is very important for the discovery process itself. The representational bias should not be driven by the desired graphical representation but by the characteristics of the underlying processes and process discovery techniques. Therefore, we analyze the role of the representational bias in process mining

Enhancing Big Data Security with Collaborative Intrusion Detection

As an asset of Cloud computing, big data is now changing our business models and applications. Rich information residing in big data is driving business decision making to be a data-driven process. Its security and privacy, however, have always been a concern of the owners of the data. The security and privacy could be strengthened via securing Cloud computing environments. This requires a comprehensive security solution from attack prevention to attack detection. Intrusion Detection Systems (IDSs) are playing an increasingly important role within the realm of a set of network security schemes. In this article, we study the vulnerabilities in Cloud computing and propose a collaborative IDS framework to enhance the security and privacy of big data

An Embedded Domain Specific Language to Model, Transform and Quality Assure Business Processes in Business-Driven Development

Business process models are produced by business analysts to graphically communicate the business requirements to IT specialists. As business processes are updated to meet the new demands in the competitive market, the underlying IT solution is adapted, to reflect precisely the current goals of the organisation. The models should then act as an abstract representation of the solution. It is essential to adapt to Business-Driven Development (BDD), whereby models are refined into the IT solution and implemented in a Service-Oriented Architecture. This means that models must be free from data and control-flow errors, such as deadlocks. If models are not quality assured at the modelling phase, errors would be discovered later and the entire BDD lifecycle would have to be repeated. Combining model transformations with quality assurance would help modellers to preserve the correctness of models and rapidly carry out modifications. Although various modelling languages have been developed to assist modellers in the production of high quality business process models, none of them adopted a functional approach, based on higher-order logic. As BDD is being adopted by most organisations, the need for such a language is becoming more evident. Since specialized functionality is required, a general-purpose language is not really necessary. Instead, a domain-specific language which provides the right abstraction and captures precisely the semantics of the business process modelling domain, should be developed. The definitions of the models would be easy to comprehend and reason about, by anyone who is not necessarily an IT specialist. However, since languages are made up of domain independent and dependent linguistic components, it is more cost effective and feasible to embed the new language in a general-purpose language. In this project we present a domain specific language embedded in the functional language, Haskell, to model, transform and quality assure business processes in Business-Driven Development. By adopting a functional approach, we developed a language: 1) with which various models can rapidly be produced in a concise and abstract manner, 2) allows users to focus on the required behaviour rather than its implementation, 3) ensures that all the required details, to generate the executable code, are specified, 4) the abstract representation can be interpreted, analysed and transformed in various ways, 5) quality assures models by carrying out three types of checks; by Haskell’s type checker, at construction-time through our embedded type system, and by specialised functions that analyse the components in the model. By embedding our language in Haskell, the models, quality assurance checks and transformations are essentially functions which can easily be composed and defined. Connection patterns, defined in the language, play an important role to ensure that definitions are concise, readable and easy to comprehend. Different from other previous modelling tools, users are able to define their own parameterized models and transformations. By generating a directed graph for the models, various types of analysis can be carried out with greater ease. Moreover, quality assurance can be combined to model transformations by declaratively defining pre and post conditions for each transformation. These conditions as well as transformations can easily be composed of other previously defined checks or transformations. With this language, we aim to capture the domain semantics of IBM’s WebSphere Business Modeler Advanced v6.0.2

Entrepreneurship in Economic Development

What is the role of entrepreneurship in economic development? At a minimum the answer should be able to explain the role of entrepreneurs in the structural transformation of countries from low income, primary-sector based societies into high-income service and technology based societies. More broadly though, it should also be able to explain the role of entrepreneurs in the opposite pole of stagnating development (including conflict) and in high innovation-driven growth. Although economic development lacks a ?general theory? of entrepreneurship, which could encompass a variety of development experiences, much progress has been made in extending the understanding of entrepreneurship in the process of development. This paper surveys the progress with the purpose of distilling the outlines for a more general theory of entrepreneurship in economic development. Entrepreneurship in developing countries remains a relatively under-researched phenomenon, so by surveying the current state of research, and by discussing the role of entrepreneurship in dual economy models of structural transformation and growth, a secondary objective of this paper is to identify avenues for further research. Finally, the policy implications from the economic literature suggest that a case for government support exists, and that this should focus on the quantity, the quality, and the allocation of entrepreneurial ability. Many routinely adopted policies for entrepreneurship, such as provision of credit and education, are shown to have more subtle effects, not all of which are conducive to growth-enhancing entrepreneurship.entrepreneurship, economic development, small business