Design eines BCM-Dashboards für kleine und mittlere Unternehmen

Business Continuity Management (BCM) ist definiert als ganzheitlicher Managementprozess, der potenzielle Bedrohungen für Organisationen und die Auswirkungen ermittelt, sowie ein Gerüst zum Aufbau der Belastbarkeit einer Organisation bereitstellt. Bereits existierende Ansätze in der Forschung legen den Fokus allerdings auf große Konzerne, während die Umsetzung eines BCM-Konzepts für kleine und mittlere Unternehmen (KMU) oft an den knappen finanziellen und personellen Ressourcen, aber auch an der Komplexität des BCM scheitert. Um KMU bei der Implementierung eines an deren Bedürfnisse angepasstem BCM-Systems (BCMS) zu unterstützen, gibt es in der Forschung nur wenige Lösungsansätze. Dieser Artikel stellt auf Basis einer empirischen Studie, welche Umsetzungsfaktoren für BCM und Anforderungen für BCMS untersucht, das prototypische Design eines BCM-Dashboards vor, welches mit wenig Konfigurationsaufwand möglichst relevante externe und interne Gefahrenquellen in einer kompakten übersicht darzustellen vermag

Big Data in a Crisis? Creating Social Media Datasets for Crisis Management Research

A growing body of research in the area of information systems for crisis management is based on data from social media. After almost every larger disaster studies emerge with the focus on the specific use of social media. Much of this research is based on Twitter data, due to the ease of access of this (mainly public) data, compared to (more closed) data, such as Facebook or Google+. Based on the experience gained from a research project on social media in emergencies and our task to collect social media data sets for other partners, we present the design and evaluation of a graphical user interface that supports those stakeholders (such as emergency services or researchers) that are interested in creating social media datasets for further crisis management research. We do not specifically focus on the analysis of social media data. Rather we aim to support the gathering process and how actors without sophisticated technical skills can be supported to get what they want and especially need: relevant social media data. Within this article, we present a practice-oriented approach and implications for designing tools that support the collection of social media data as well as future work

Design eines BCM-Dashboards für kleine und mittlere Unternehmen

Business Continuity Management (BCM) ist definiert als ganzheitlicher Managementprozess, der poten-zielle Bedrohungen für Organisationen und die Auswirkungen ermittelt, sowie ein Gerüst zum Aufbau der Belastbarkeit einer Organisation bereitstellt. Bereits existierende Ansätze in der Forschung legen den Fokus allerdings auf große Konzerne, während die Umsetzung eines BCM-Konzepts für kleine und mittlere Unternehmen (KMU) oft an den knappen finanziellen und personellen Ressourcen, aber auch an der Komplexität des BCM scheitert. Um KMU bei der Implementierung eines an deren Bedürfnisse angepasstem BCM-Systems (BCMS) zu unterstützen, gibt es in der Forschung nur wenige Lösungsan-sätze. Dieser Artikel stellt auf Basis einer empirischen Studie, welche Umsetzungsfaktoren für BCM und Anforderungen für BCMS untersucht, das prototypische Design eines BCM-Dashboards vor, welches mit wenig Konfigurationsaufwand möglichst relevante externe und interne Gefahrenquellen in einer kom-pakten übersicht darzustellen vermag

Big Data in a Crisis? Creating Social Media Datasets for ECrisis Management Research

A growing body of research in the area of information systems for crisis management is based on data from social media. After almost every larger disaster studies emerge with the focus on the specific use of social media. Much of this research is based on Twitter data, due to the ease of access of this (mainly public) data, compared to (more closed) data, such as Facebook or Google+. Based on the experience gained from a research project on social media in emergencies and our task to collect social media data sets for other partners, we present the design and evaluation of a graphical user interface that supports those stakeholders (such as emergency services or researchers) that are interested in creating social media datasets for further crisis management research. We do not specifically focus on the analysis of social media data. Rather we aim to support the gathering process and how actors without sophisticated technical skills can be supported to get what they want and especially need: relevant social media data. Within this article, we present a practice-oriented approach and implications for designing tools that support the collection of social media data as well as future work

Search for Scalar Diphoton Resonances in the Mass Range 65−60065-600 GeV with the ATLAS Detector in pppp Collision Data at s\sqrt{s} = 8 TeVTeV

A search for scalar particles decaying via narrow resonances into two photons in the mass range 65–600 GeV is performed using $20.3\text{}\text{}{\mathrm{fb}}^{-1}$ of $\sqrt{s}=8\text{}\text{}\mathrm{TeV}$ $pp$ collision data collected with the ATLAS detector at the Large Hadron Collider. The recently discovered Higgs boson is treated as a background. No significant evidence for an additional signal is observed. The results are presented as limits at the 95% confidence level on the production cross section of a scalar boson times branching ratio into two photons, in a fiducial volume where the reconstruction efficiency is approximately independent of the event topology. The upper limits set extend over a considerably wider mass range than previous searches

Search for Higgs and ZZ Boson Decays to J/ψγJ/\psi\gamma and Υ(nS)γ\Upsilon(nS)\gamma with the ATLAS Detector

A search for the decays of the Higgs and $Z$ bosons to $J/\psi\gamma$ and $\Upsilon(nS)\gamma$ ($n=1,2,3$) is performed with $pp$ collision data samples corresponding to integrated luminosities of up to $20.3\mathrm{fb}^{-1}$ collected at $\sqrt{s}=8\mathrm{TeV}$ with the ATLAS detector at the CERN Large Hadron Collider. No significant excess of events is observed above expected backgrounds and 95% CL upper limits are placed on the branching fractions. In the $J/\psi\gamma$ final state the limits are $1.5\times10^{-3}$ and $2.6\times10^{-6}$ for the Higgs and $Z$ bosons, respectively, while in the $\Upsilon(1S,2S,3S)\,\gamma$ final states the limits are $(1.3,1.9,1.3)\times10^{-3}$ and $(3.4,6.5,5.4)\times10^{-6}$, respectively

Finska tingsdomares bedömningar av partsutlåtanden givna på plats i rätten eller via videokonferens

Professionals within the judicial system sometimes believe they can assess whether someone is lying or not based on cues such as body language and emotional expression. Research has, however, shown that this is impossible. The Finnish Supreme Court has also given rulings in accordance with this demonstrated fact. There has also been previous research on whether party or witness statements are assessed differently in court depending on whether they are given live, via videoconference, or via prerecorded video. In the present study, we investigated how a Finnish sample of district judges (N=47) assigned probative value to different variables concerning the statement or the statement giver, such as body language and emotional expression. We also investigated the connection between the judges’ beliefs about the relevance of body language and emotional expression and their preference for live statements or statements via videoconference. The judges reported assigning equal amounts of probative value to statements given live and statements given via videoconference. However, judges found it easier to detect deception live, and this preference correlated with how relevant they thought body language is when assessing the probative value of the statement. In other words, a slight bias to assess live statements more favorably than statements given via videoconference might still exist. More effort needs to be put into making judges and Supreme Courts aware of robust scientific results that have been the subject of decades of research, such as the fact that one cannot assess whether someone is lying or not based on cues such as body language