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  • 1.
    García Lozano, Marianela
    et al.
    FOI Swedish Defence Research Agency, Sweden; KTH Royal Institute of Technology, Sweden.
    Brynielsson, Joel
    FOI Swedish Defence Research Agency, Sweden; KTH Royal Institute of Technology, Sweden.
    Franke, Ulrik
    RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
    Rosell, Magnus
    FOI Swedish Defence Research Agency, Sweden.
    Tjörnhammar, Edward
    KTH Royal Institute of Technology, Sweden; FOI Swedish Defence Research Agency, Sweden.
    Varga, Stefan
    KTH Royal Institute of Technology, Sweden; Swedish Armed Forces Headquarters, Sweden.
    Vlassov, Vladimir
    KTH Royal Institute of Technology, Sweden.
    Veracity assessment of online data2020In: Decision Support Systems, ISSN 0167-9236, E-ISSN 1873-5797, Vol. 129, article id 113132Article in journal (Refereed)
    Abstract [en]

    Fake news, malicious rumors, fabricated reviews, generated images and videos, are today spread at an unprecedented rate, making the task of manually assessing data veracity for decision-making purposes a daunting task. Hence, it is urgent to explore possibilities to perform automatic veracity assessment. In this work we review the literature in search for methods and techniques representing state of the art with regard to computerized veracity assessment. We study what others have done within the area of veracity assessment, especially targeted towards social media and open source data, to understand research trends and determine needs for future research. The most common veracity assessment method among the studied set of papers is to perform text analysis using supervised learning. Regarding methods for machine learning much has happened in the last couple of years related to the advancements made in deep learning. However, very few papers make use of these advancements. Also, the papers in general tend to have a narrow scope, as they focus on solving a small task with only one type of data from one main source. The overall veracity assessment problem is complex, requiring a combination of data sources, data types, indicators, and methods. Only a few papers take on such a broad scope, thus, demonstrating the relative immaturity of the veracity assessment domain. © 2019 The Authors

  • 2.
    Pohl, Hans
    et al.
    RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
    Karlström, Magnus
    Lindholmen Science Park, Sweden.
    Elektrifierade vägtransporter: publikationsstudie2020Report (Other academic)
    Abstract [en]

    Road transport electrification – publication analysis

    This report summarizes the results of a study of scientific publications within vehicle electrification, i.e. battery, hybrid and/or fuel cell electric vehicles including the recharg-ing or refuelling infrastructure. A new method was developed for the study, which extracts Scopus publications relating to vehicle electrification. Three enabling technolo-gies; batteries, fuel cells, and electric machines including power electronics, were studied separately, as such publications only to a small extent are captured when searching for publications mentioning automotive applications.

    Results are given for the top 16 countries in terms of volume within vehicle electrification with special attention given to publications including Swedish (co-)authors. China is the dominating country and is still increasing its share. Sweden has a percentage of the world production between 0.8 – 1.4% and relatively low growth rate. On the other hand, the citation impact is high.

    Among the enabling technologies, batteries show the highest growth rate, in Sweden as well as in the world. China is approaching a 50% share of all battery publications.

    Other entities studied and discussed are institutions and authors and different dimen-sions including how international the research is and the share of academic-corporate co-publications.

  • 3.
    Rudmark, Daniel
    RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
    Open Data Standards: Vertical Industry Standards to Unlock Digital Ecosystems2020In: Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020Conference paper (Refereed)
    Abstract [en]

    Standards are considered an essential means to facilitate value creation from open data. Despite this importance, we find that empirical studies of open data standards have not been conducted in proportion to its importance. In particular, the literature has insofar been silent about why specific standards are chosen and how these standards are implemented. To this end, we report from an action research project with the Swedish public transport industry, where open data standards were both chosen and implemented. Consistent with the literature, we find standards were selected based on expected increased attractivity for re-users. Also, and more surprisingly, we found that open data standards were chosen as a means to harness resources in adjacent digital ecosystems. Finally, our findings convey that implementing open data standards may hamper the possibility to publish datasets, with its original qualities.

  • 4.
    Wang, Shaun S.
    et al.
    Southern University of Science and Technology, China; Nanyang Technological University, Singapore.
    Franke, Ulrik
    RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
    Enterprise IT service downtime cost and risk transfer in a supply chain2020In: Operations Management Research, ISSN 1936-9735, E-ISSN 1936-9743Article in journal (Refereed)
    Abstract [en]

    In this paper we present an economic model for analyzing enterprise IT service downtime cost, first on a standalone basis and then in a supply chain setting. With a baseline probability model of Poisson arrival frequency with random downtime duration, we analyze optimal production of a firm’s investments in reducing frequency and duration of downtime, and corresponding premiums for insuring against downtime cost. We also present a model for the spillover effect of downtime for interconnected firms in a supply chain, and discuss how third-party insurance coverage can help enterprises to internalize the externalities of spillover effects on the supply chain.

1 - 4 of 4
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