69 research outputs found
An Overview of Virtual University Studies
No full textThis chapter provides an overview of virtual university studies pertaining to issues, concepts and trends. Although numerous papers, reports and booklets are published with respect to that, there is still lack of an overview of virtual universities. In this chapter, the author tries to draw basic directions of the virtual university studies and developments. These basic directions grasp virtual universities’ issues, concepts and trends in general, model, definition and basic characteristics of virtual universities in particular. The author goes on giving some educational and financial features of future higher education. It is discussed that virtual universities and distance learning are currently lacking in some areas that need to be paid attention to in the future. The chapter concludes with some recommendations for the future designers of virtual universities and distance learning programs.</jats:p
The discipline of enterprise engineering
No full textThe discipline of enterprise engineering Authors Jan LG Dietz, Jan AP Hoogervorst, Antonia Albani, David Aveiro, Eduard Babkin, Joseph Barjis, Artur Caetano, Philip Huysmans, Junichi Iijima, Steven JH Van Kervel, Hans Mulder, Martin Op't Land, Henderik ::: Publisher: [Inderscience Publishers] ::: Location: [
On the Relevance of Explanation for RDF Resources Similarity
No full textArtificial Intelligence (AI) has been shown to productively affect organizational decision making, in terms of returned economic value. In particular, agile business may significantly benefit from the ability of AI systems to constantly pursue contextual knowledge awareness. Undoubtedly, a key added value of such systems is the ability to explain results. In fact, users are more inclined to trust and feel the accountability of systems, when the output is returned together with a human-readable explanation. Nevertheless, some of the information in an explanation might be irrelevant to users—despite its truthfulness. This paper discusses the relevance of explanation for resources similarity, provided by AI systems. In particular, the analysis focuses on one system based on Large Language Models (LLMs)—namely ChatGPT— and on one logic-based tool relying on the computation of the Least Common Subsumer in the Resource Description Framework (RDF). This discussion reveals the need for a formal distinction between relevant and irrelevant information, that we try to answer with a definition of relevance amenable to implementation
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ERP implementation strategies: the importance of process modelling and analysis
No full textDespite the existence of a vast body of research and knowledge related to ERP implementation, the analysis of environmental aspects (e.g. organizational context, existing business strategies, and implementation strategies) that influence the implementation success remains under researched. Hence, the objective of this study was to gain insight of the relation between the ex-ante business variables (i.e. business characteristics identified prior to the implementation), the ERP implementation strategies, and the perceived final contribution.Using survey data obtained from 91 respondents out of a sample population of 549 SAP users in Spain and Latin America (a net response rate of 16.6%) we find a significant correlation between specific business strategies and particular ERP implementation strategies. In addition we observe that process mapping and process-based implementation strategies better explain implementation results than other strategies such as the use of consultants and previous experience
Focused Conceptualisation: Framing Questioning and Answering in Model-Oriented Dialogue Games
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83514.pdf (Author’s version preprint ) (Closed access)PoEM 201
The importance of business process modeling in software systems design
No full textAbstractDespite diligent efforts made by the software engineering community, the failure of software projects keeps increasing at an alarming rate. After two decades of this problem reoccurring, one of the leading causes for the high failure rate is still poor process modeling (requirements’ specification). Therefore both researchers and practitioners recognize the importance of business process modeling in understanding and designing accurate software systems. However, lack of direct model checking (verification) feature is one of the main shortcomings in conventional process modeling methods. It is important that models provide verifiable insight into underlying business processes in order to design complex software systems such as Enterprise Information Systems (EIS). The software engineering community has been deploying the same methods that have haunted the industry with failure. In this paper, we try to remedy this issue by looking at a non-conventional framework. We introduce a business process modeling method that is amenable to automatic analysis (simulation), yet powerful enough to capture the rich reality of business systems as enacted in the behavior and interactions of users. The proposed method is based on the innovative language-action perspective
The added value of simulation in increasing maturity levels of customer service processes
No full textDiscrete Event Simulation (DES) is widely used in analyzing and improving business processes. Business process maturity models (BPMM) are used to define maturity levels of business processes and give recommendations how maturity levels can be increased. While each has proven their efficiency in their own way, very little attention is paid to the complementary role they play when combined. In this paper, we discuss and demonstrate the added value of simulation in conjunction to maturity models. The quantitative added value of simulation models as well as the added value in change management are discussed. We used two case studies from a large financial organization to demonstrate the added value of simulation in conjunction to BPMM. The finding of this research resulted in a set of recommendations about suitability of DES at different maturity levels. Furthermore recommendations are given for further research in the field of maturity levels supported by simulation.System EngineeringTPMTechnology, Policy and Managemen
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