1,063,412 research outputs found

    The investigation of indicators for evaluation the information process of management of industrial enterprise

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    Purpose: Activation of the process of formation of the information society in Ukraine, causes the introduction of information technologies in the practical activities of enterprises, increases the role and importance of information processes as one of the effective tools for developing and substantiating effective management decisions. However, the use of truly effective information management processes requires their constant monitoring and evaluation. Taking this into account, the purpose of the article is to study the existing indicators for evaluating information processes of an enterprise and justifying the need to supplement them with indicators that objectively evaluate information management processes. Design/methodology/approach: In the process of research, in order to substantiate the conclusions and recommendations, a set of special research methods was used, in particular: analysis and synthesis - to generate key indicators for evaluating the information process of an enterprise and summarizing them in a single classification; grouping methods, comparative and structural analysis - for disclosing the differences between the indicators used and the performance indicators of the information process and justifying the need to expand the existing system of indicators for evaluating the management information process for its application in the management system of an industrial enterprise; monographic, historical-evolutionary and dialectical methods - for the study of scientific views on the process of evaluating information. Findings: The groups of indicators considered in the article are extremely important for assessing the information process of an enterprise, however, the assessment of the information management process according to the given system of indicators would be incomplete, since there are no results of information evaluation that allow to accurately assess the current state of the enterprise in terms of its most important areas - financial, labor and production. It is known that the analysis of the current activities of the enterprise is the basis for identifying the need for future changes, and, consequently, the development and justification of new management decisions. The effectiveness of the future management decision largely depends on how effective the information produced in the process of implementing the information management process will be. Thus, the addition of the existing classification of indicators for evaluating the information process with a block of indicators of the effectiveness of the information process is quite legitimate, because it will allow to transfer this process to the management plane. Research and practical limitations/implications: Expanding the system of indicators for assessing the information process with a block of indicators of its performance will allow, based on an assessment of the current state of the enterprise in the most important areas of its activity, to thoroughly choose a scenario for future activities. Originality/value: The implementation of the proposed recommendations will further develop a unified methodology for evaluating the information process of managing an industrial enterprise, which will enable to quantitatively and qualitatively implement this process, taking into account the information obtained as a result of analyzing the indicators of the most important areas of the enterprise. This, in turn, will increase the degree of justification of management decisions on the choice of the most effective direction of the future activity of the enterprise

    Integrating security and usability into the requirements and design process

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    According to Ross Anderson, 'Many systems fail because their designers protect the wrong things or protect the right things in the wrong way'. Surveys also show that security incidents in industry are rising, which highlights the difficulty of designing good security. Some recent approaches have targeted security from the technological perspective, others from the human–computer interaction angle, offering better User Interfaces (UIs) for improved usability of security mechanisms. However, usability issues also extend beyond the user interface and should be considered during system requirements and design. In this paper, we describe Appropriate and Effective Guidance for Information Security (AEGIS), a methodology for the development of secure and usable systems. AEGIS defines a development process and a UML meta-model of the definition and the reasoning over the system's assets. AEGIS has been applied to case studies in the area of Grid computing and we report on one of these

    Understanding Learned Models by Identifying Important Features at the Right Resolution

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    In many application domains, it is important to characterize how complex learned models make their decisions across the distribution of instances. One way to do this is to identify the features and interactions among them that contribute to a model's predictive accuracy. We present a model-agnostic approach to this task that makes the following specific contributions. Our approach (i) tests feature groups, in addition to base features, and tries to determine the level of resolution at which important features can be determined, (ii) uses hypothesis testing to rigorously assess the effect of each feature on the model's loss, (iii) employs a hierarchical approach to control the false discovery rate when testing feature groups and individual base features for importance, and (iv) uses hypothesis testing to identify important interactions among features and feature groups. We evaluate our approach by analyzing random forest and LSTM neural network models learned in two challenging biomedical applications.Comment: First two authors contributed equally to this work, Accepted for presentation at the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19

    A prescriptive approach to qualify and quantify customer value for value-based requirements engineering

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    Recently, customer-based product development is becoming a popular paradigm. Customer expectations and needs can be identified and transformed into requirements for product design with the help of various methods and tools. However, in many cases, these models fail to focus on the perceived value that is crucial when customers make the decision of purchasing a product. In this paper, a prescriptive approach to support value-based requirements engineering (RE) is proposed, describing the foundations, procedures and initial applications in the context of RE for commercial aircraft. An integrated set of techniques, such as means-ends analysis, part-whole analysis and multi-attribute utility theory is introduced in order to understand customer values in depth and width. Technically, this enables identifying the implicit value, structuring logically collected statements of customer expectations and performing value modelling and simulation. Additionally, it helps to put in place a system to measure customer satisfaction that is derived from the proposed approach. The approach offers significant potential to develop effective value creation strategies for the development of new product

    Planning strategically, designing architecturally : a framework for digital library services

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    In an era of unprecedented technological innovation and evolving user expectations and information seeking behaviour, we are arguably now an online society, with digital services increasingly common and increasingly preferred. As a trusted information provider, libraries are in an advantageous position to respond, but this requires integrated strategic and enterprise architecture planning, for information technology (IT) has evolved from a support role to a strategic role, providing the core management systems, communication networks, and delivery channels of the modern library. Further, IT components do not function in isolation from one another, but are interdependent elements of distributed and multidimensional systems encompassing people, processes, and technologies, which must consider social, economic, legal, organisational, and ergonomic requirements and relationships, as well as being logically sound from a technical perspective. Strategic planning provides direction, while enterprise architecture strategically aligns and holistically integrates business and information system architectures. While challenging, such integrated planning should be regarded as an opportunity for the library to evolve as an enterprise in the digital age, or at minimum, to simply keep pace with societal change and alternative service providers. Without strategy, a library risks being directed by outside forces with independent motivations and inadequate understanding of its broader societal role. Without enterprise architecture, it risks technological disparity, redundancy, and obsolescence. Adopting an interdisciplinary approach, this conceptual paper provides an integrated framework for strategic and architectural planning of digital library services. The concept of the library as an enterprise is also introduced

    Initiating organizational memories using ontology-based network analysis as a bootstrapping tool

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    An important problem for many kinds of knowledge systems is their initial set-up. It is difficult to choose the right information to include in such systems, and the right information is also a prerequisite for maximizing the uptake and relevance. To tackle this problem, most developers adopt heavyweight solutions and rely on a faithful continuous interaction with users to create and improve content. In this paper, we explore the use of an automatic, lightweight ontology-based solution to the bootstrapping problem, in which domain-describing ontologies are analysed to uncover significant yet implicit relationships between instances. We illustrate the approach by using such an analysis to provide content automatically for the initial set-up of an organizational memory

    A new approach for evaluation of risk priorities of failure modes in FMEA

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    This paper presents a method for carrying out the calculus of the risk priority of failures in Failure Mode and Effect Analysis (FMEA). The novelty of the method consists of new management of data provided by the design team, normally given on qualitative scales, without necessitating an arbitrary and artificial numerical conversion. The practical effects of these issues are shown in an application example
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