59,683 research outputs found

    The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges

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    The Internet of Things (IoT) refers to a network of connected devices collecting and exchanging data over the Internet. These things can be artificial or natural, and interact as autonomous agents forming a complex system. In turn, Business Process Management (BPM) was established to analyze, discover, design, implement, execute, monitor and evolve collaborative business processes within and across organizations. While the IoT and BPM have been regarded as separate topics in research and practice, we strongly believe that the management of IoT applications will strongly benefit from BPM concepts, methods and technologies on the one hand; on the other one, the IoT poses challenges that will require enhancements and extensions of the current state-of-the-art in the BPM field. In this paper, we question to what extent these two paradigms can be combined and we discuss the emerging challenges

    From Fragmentation to Function: Critical Concepts and Writings on Social Capital Markets' Structure, Operation, and Innovation

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    We hope to see a future in which more funds flow to investments seeking the generation of social and/or environmental value in conjunction with some level of financial performance. As the 'capital markets' moniker would suggest, we would like to see these capital flows be performance-based (so that funds advance the work of high-performance investees, while being less accessible to lower-performing and/or riskier ventures). Furthermore, we would like to see these investments adopt structures that more completely address the diverse needs and interests of investors and investees. Our ambition is that by better organizing the ideas and initiatives of the many individuals who have worked to frame this emerging market, these goals may be advanced. The paper's secondary goals are to help focus future research and praxis on efforts that build on the significant body of existing work without unduly re-treading well-worn analytical paths. This paper seeks to promote an elevated discussion of the social capital markets, a discourse focusing on  high-leverage issues. The paper also invites experts from related academic and practical fields to engage in a conversation that has to this point largely been conducted between social sector professionals turning their attention to capital flows and finance professionals placing their expertise in the service of social purposes

    A Model-Based Approach to Managing Feature Binding Time in Software Product Line Engineering

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    Software Product Line Engineering (SPLE) is a software reuse paradigm for developing software products, from managed reusable assets, based on analysis of commonality and variability (C & V) of a product line. Many approaches of SPLE use a feature as a key abstraction to capture the C&V. Recently, there have been increasing demands for the provision of flexibility about not only the variability of features but also the variability of when features should be selected (i.e., variability on feature binding times). Current approaches to support variations of feature binding time mostly focused on ad hoc implementation mechanisms. In this paper, we first identify the challenges of feature binding time management and then propose an approach to analyze the variation of feature binding times and use the results to specify model-based architectural components for the product line. Based on the specification, components implementing variable features are parameterized with the binding times and the source codes for the components and the connection between them are generated

    Process-Based Design and Integration of Wireless Sensor Network Applications

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    Abstract Wireless Sensor and Actuator Networks (WSNs) are distributed sensor and actuator networks that monitor and control real-world phenomena, enabling the integration of the physical with the virtual world. They are used in domains like building automation, control systems, remote healthcare, etc., which are all highly process-driven. Today, tools and insights of Business Process Modeling (BPM) are not used to model WSN logic, as BPM focuses mostly on the coordination of people and IT systems and neglects the integration of embedded IT. WSN development still requires significant special-purpose, low-level, and manual coding of process logic. By exploiting similarities between WSN applications and business processes, this work aims to create a holistic system enabling the modeling and execution of executable processes that integrate, coordinate, and control WSNs. Concretely, we present a WSNspecific extension for Business Process Modeling Notation (BPMN) and a compiler that transforms the extended BPMN models into WSN-specific code to distribute process execution over both a WSN and a standard business process engine. The developed tool-chain allows modeling of an independent control loop for the WSN.

    Symbiosis between the TRECVid benchmark and video libraries at the Netherlands Institute for Sound and Vision

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    Audiovisual archives are investing in large-scale digitisation efforts of their analogue holdings and, in parallel, ingesting an ever-increasing amount of born- digital files in their digital storage facilities. Digitisation opens up new access paradigms and boosted re-use of audiovisual content. Query-log analyses show the shortcomings of manual annotation, therefore archives are complementing these annotations by developing novel search engines that automatically extract information from both audio and the visual tracks. Over the past few years, the TRECVid benchmark has developed a novel relationship with the Netherlands Institute of Sound and Vision (NISV) which goes beyond the NISV just providing data and use cases to TRECVid. Prototype and demonstrator systems developed as part of TRECVid are set to become a key driver in improving the quality of search engines at the NISV and will ultimately help other audiovisual archives to offer more efficient and more fine-grained access to their collections. This paper reports the experiences of NISV in leveraging the activities of the TRECVid benchmark

    Adaptable Techniques for Making IT-Related Investment Decisions

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    The author investigated the main methods used for making IT-related investment decisions. In the view of these methods it can be said that no method was found that would help to make investment decisions 'routinelike'. The use of traditional financial indicators – which would be suitable for so-called regular investments - has a lot of obstructions and it would be dangerous to base decisions only on them. Return on Investment (ROI) methods are used in the case of classical investments (buildings, machineries) to analyze capital investments. Their simplest explanation is that net profit is expressed in percentage of invested capital. If it is a planned investment, a quotient is used for comparing variations. Cost-Benefit Analysis (CBA) has gained upon from the 60’s (in case of several IT-related investments as well), as it made possible to consider certain not quantifiable factors and uncertain elements too, so it meant a great help for choosing between different alternatives. Total Cost of Ownership (TCO)-model was created by GartnerGroup in the beginning of the 90’s, which is an excellent method for monitoring IT infrastructure and for analysing direct and indirect costs of possessed and used softwares and hardwares. An another method for making investment decisions, Rapid Economic Justification (REJ) is an attempt made by Microsoft and Intellectual Arbitrage to develop a better-balanced approach for examining and developing IT projects as it had been before. REJ offers the possibility of assessment balance against the cost-models dealing with only the cost side of a project

    Trust and reciprocity effect on electronic word-of-mouth in online review communities

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    Purpose Social media developments in the last decade have led to the emergence of a new form of word of mouth (WOM) in the digital environment. Electronic word-of-mouth (eWOM) is considered by many scholars and practitioners to be the most influential informal communication mechanism between businesses and potential and actual consumers. The purpose of this paper is to extend knowledge about WOM in this new context by proposing a conceptual framework that enables a better understanding of how trust and reciprocity influence eWOM participation in ORCs. Design/methodology/approach This study applies non-probability convenience sampling technique to conduct a quantitative study of data from an online survey of 189 members of ORCs. Partial least squares (PLS) is used to analyse the correlations between individuals’ intention to seek opinion, to give their own opinion and to pass on the opinion of another within ORCs. Findings The data analysis reveals that opinion seeking within ORCs had a direct effect on opinion giving and opinion passing. Ability trust and integrity trust had a positive effect on opinion seeking, while benevolence trust had a direct positive effect on opinion passing. Reciprocity had a direct impact on opinion passing. While reciprocity did not affect opinion giving, the relationship between these two concepts was mediated by integrity trust. Research limitations/implications By studying the complexities that characterise the relationships between reciprocity, trust and eWOM, the study extends understanding of eWOM in ORCs. Originality/value To the best of the authors’ knowledge, this is one of only a few papers that have examined the complex interrelationships between reciprocity, trust and eWOM in the context of ORCs
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