Fostering Distributed Business Logic in Open Collaborative Networks: an integrated approach based on semantic and swarm coordination

Given the great opportunities provided by Open Collaborative Networks (OCNs), their success depends on the effective integration of composite business logic at all stages. However, a dilemma between cooperation and competition is often found in environments where the access to business knowledge can provide absolute advantages over the competition. Indeed, although it is apparent that business logic should be automated for an effective integration, chain participants at all segments are often highly protective of their own knowledge. In this paper, we propose a solution to this problem by outlining a novel approach with a supporting architectural view. In our approach, business rules are modeled via semantic web and their execution is coordinated by a workflow model. Each company’s rule can be kept as private, and the business rules can be combined together to achieve goals with defined interdependencies and responsibilities in the workflow. The use of a workflow model allows assembling business facts together while protecting data source. We propose a privacy-preserving perturbation technique which is based on digital stigmergy. Stigmergy is a processing schema based on the principle of self-aggregation of marks produced by data. Stigmergy allows protecting data privacy, because only marks are involved in aggregation, in place of actual data values, without explicit data modeling. This paper discusses the proposed approach and examines its characteristics through actual scenarios

FiVO/QStorMan Semantic Toolkit for Supporting Data-Intensive Applications in Distributed Environments

In this paper we present a semantic-based approach for supporting data-intensive applications in distributed environments. The approach is characterized by usage of explicit definition of non-functional quality parameters regarding storage systems, semantic descriptions of the available storage infrastructre and monitoring data concering the infrastructure workload and users operation, along with an implementation of the approach in the form of a toolkit called FiVO/QStorMan. In particular, we describe semantic descriptions, which are exploited in the storage resource provisioning process. In addition, the paper describes results of the performed experimental evaluation of the toolkit, which confirm the effectiveness of the proposed approach for the storage resource provisioning

Virtual enterprise collaborative processes monitoring through a project business approach

In order to design a system for managing performance in collaborative project-based enterprises, it is necessary to undertake real-time monitoring of its business processes and activities. This paper presents a systematic approach to project business process monitoring (BPM) and identifies the key aspects of virtual enterprise (VE) process evaluation. A framework for VE BPM is presented with special emphasis in linking interest groups to the development of their targets, information and knowledge sharing. The proposed model defines the exclusive performance metrics, which are needed during BPM. This interdisciplinary study examines BPM through peer-to-peer information exchange in the VE domain, which is currently a research gap. The fundamental metrics to define business process performance monitoring are elaborated in the research reported in this paper. The identified performance metrics can be used to measure the overall performances for both a project business and VE. A reference architecture is also highlighted with a case example with the objective to measure the performance in a project business VE. An overall definition of collaborative BPM and performance management systems is also presented accordingly. Future research directions are identified regarding the nature of collaboration in a project business VE and the characteristics of performance indicators to support it.fi=vertaisarvioitu|en=peerReviewed

Service identification requirements for enterprise information systems

Identifying services is one of the most important step in developing service-oriented business systems. Existing service identification methods still have some shortcomings, e.g. unrepeatable approach, inapplicable to all enterprise information systems and unadaptable to business factor change. Some approaches focus on fixed cases or certain types of organizations neglecting the change of involvement and operation of the enterprise systems, which have limited value to apply to a broad range of real-life business cases In this paper, we investigate requirements of service identification from different types of information systems, from single systems to collaborative systems, from closed systems to open systems. The research is important for providing a solid foundation for further identifying services for developing different service-oriented system

An Adaptive Framework for Improving the Effectiveness of Virtual Enterprises in the Supply Chain

This thesis describes a research project that develops an adaptive framework for improving the effectiveness of virtual enterprises in the supply chains in Mongolia. The research takes empirical and quantitative approach to study the phenomenon of virtual enterprises. Based on a literature review, the factors that influence organisations to join in virtual enterprises are studied by a higher-order factor analysis. As a result, agility is identified as one of the main benefits organisations can gain by joining a virtual enterprise temporarily and changes in business performance are conceived as the measures of effectiveness. Next, a taxonomy of enterprises is developed with five distinguishing clusters that achieve differing levels of agility and business performance. This study suggests that enterprises that are monitoring changes in their business environment take most advantage of agility and achieve the best levels of performance. These findings then allow an adaptive framework based on common reference architectures to be developed as a main contribution of this study. The framework includes a breeding environment as a ‘pool’ of prepared enterprises with the ability to form temporary collaborations to react responsively, rapidly and effectively to the fast-changing opportunities. A structural equation model was used to examine the model fit with the supporting hypotheses, based on the observed data. Then, a powerful clustered expectation maximisation algorithm was applied to the analysis of the grouped enterprises. Finally, a simulation-based case study was conducted to validate the developed framework. The results provide rich empirical evidence of the beneficial impact of virtual enterprises on agile supply chains. The research provides rich empirical evidence of the beneficial impact of virtual enterprises on agile supply chains. It also provides theoretical and managerial insights that can be used to strengthen the drivers, enablers and capabilities that enhance the effectiveness of virtual enterprises collaboration in agile supply chains that can be translated to a global context. These are major contributions the ‘body of knowledge’ in themselves, but the research also adds usefully to the study of applied research methodologies in the area