Measuring the value of IT is always a challenge for investors. Market share for service oriented Information Systems (IS) is constantly growing and it creates the demand for methods of measuring the value of SOA-based IS projects. This research is aimed at adopting existing IT Project assessment methods to this growing demand. The work proposes the method that considers the fact that SOA-based IS deployment and evolution could be split in separate flows, one per service. It will allow usage of individual discount rate values per service since project risk values should be different for different services. It should make project value assessment more accurate comparing to existing methods which use the single flow for the entire project. This research also proposes Real Options for calculating the flexibility fraction of the value. The developed method was verified using own simulation model. Both developed method and the simulation model were applied to value assessment of a real-world project.
Monitoring and analyzing the operation of enterprises is a key capability of Governance, Risk, and Compliance (GRC) solutions and is relevant for high-risk organizations, such as financial services. The potential of state-of-the-art process mining (data-driven process analysis) is limited by quality issues with transactional data registration and extraction. A novel approach is proposed to address these challenges: the Enterprise Operational Analysis (EOA) founded in DEMO and the Enterprise Operating System (EOS). The EOS is a software system based on enterprise engineering, and stores, interprets, and executes DEMO models as native source code. The EOS provides workflow-like capabilities and supports EOA. Combining the EOS with state-of-the-art process mining offers the following advantages: guaranteed completeness of analysis, elimination of ‘mining’ for events, facilitating process conformance checking, analysis on various levels of granularity from various perspectives. It enables enterprises to systematically analyze, improve and deploy business procedures. A professional business case is analyzed. © Springer International Publishing Switzerland 2015.
The problem of face recognition with large database in real-time applications is discovered. The enhancement of HoG (Histogram of Gradients) algorithm with features mutual alignment is proposed to achieve better accuracy. The novel modification of directed enumeration method (DEM) using the ideas of the Best Bin First (BBF) search algorithm is introduced as an alternative to the nearest neighbor rule to prevent the brute force. We present the results of an experimental study in a problem of face recognition with FERET and Essex datasets. We compare the performance of our DEM modification with conventional BBF k-d trees in their well-known efficient implementation from OpenCV library. It is shown that the proposed method is characterized by increased computing efficiency (2-12 times in comparison with BBF) even in the most difficult cases where many neighbors are located at very similar distances. It is demonstrated that BBF cannot be used with our recognition algorithm as the latter is based on non-symmetric measure of similarity. However, we experimentally prove that our recognition algorithm improves recognition accuracy in comparison with classical HoG implementation. Finally, we show that this algorithm could be implemented efficiently if it is combined with the DEM.
We combine bi- and triclustering to analyse data collected from the Russian online social network Vkontakte. Using biclustering we extract groups of users with similar interests and find communities of users which belong to similar groups. With triclustering we reveal users' interests as tags and use them to describe Vkontakte groups. After this social tagging process we can recommend to a particular user relevant groups to join or new friends from interesting groups which have a similar taste. We present some preliminary results and explain how we are going to apply these methods on massive data repositories.
The main goal of this paper is to describe the integrated approach to product lifecycle management in the context of enterprise information system landscape. Product lifecycle management is a part of the common information area in the enterprise. In this work the analysis of enterprise interoperability problems was presented. To classify such problems and solution approaches we use a framework for enterprise interoperability, described by D. Chen at . The paper suggests reference architecture for product lifecycle management systems based on multi-agent concept. It promotes understanding of the interrelationships of different lifecycle stages for acquiring and manipulating concurrent engineering knowledge.
Recognizing the challenges that a contemporary university faces, an inter-faculty group of researchers performed the analysis of organizational and management approach in one of Russia’s universities and modeled existing business processes. The university is a multi-campus organization and to manage it efficiently it is necessary to make transition from the traditional management model to a more flexible - network structure. This paper focuses on development of the Goal Tree and designing of AS-IS model. The researchers applied IBM Business Modeler which allows to execute modeling and simulation of business processes. The practical value of the proposed approach is that it enables the university management to improve performance and effectiveness.
Informed SaaS pricing decision-making requires the involvement of different business units and integrated pricing approaches. Achieving both appears to be challenging for a lot of SaaS providers, and despite its declared importance, pricing is one of the most under-managed business processes. Small and medium-sized companies do not have the resources for or the understanding of how to make informed decisions on pricing strategy and tactics. Pricing is a topic of interest in several research domains including economics, management science, digital and service marketing, and, increasingly, in software engineering. Still, the lack of integration between studies creates inconsistency in research. A comprehensive SaaS pricing body of knowledge is missing, as is a coherent action-oriented “Cookbook”. This multi-vocal literature review both brings together results from these research domains and matches practitioner expertise with academic research outcomes to promote the advancement of SaaS pricing theory and practice.
While knowledge of competence is of particular value to the enterprise, and notion of competence is being actively used in enterprise engineering field of research, there is a lack of practical usage of competences while restructuring enterprises. This paper presents a modelling framework for competencebased enterprise restructuring using ontologies, which is based on DEMO’s ATD and helps to combine competence requirements on ontological level, competence requirements on implementation level and existing individual competences on implementation level. The number of open questions for future research is being provided. © Springer International Publishing Switzerland 2015.
Implementation of enterprise information management systems is still a challenging task for any organization. One of the key challenges within implementation projects is analysis of business requirements and determination of required system capabilities. Traditionally this challenge is overcome by gathering a team of experienced specialists but we would like to propose an alternate solution: using the ontology based knowledge management system to determine the necessary functionality and configuration of the enterprise information management system based on the user requirements. In this paper we describe the approach for representation of user requirements for such systems as business processes based on the ideas from The Ontology for Linking Processes and IT infrastructure (OLPIT).