Managing A Paradox–Design Principles for Executives’ IT Support

How are companies managed today and what part does state-of-the-art IT play? Executive information systems (EIS) should support top managers in managing their companies. But many executives complain that EIS bear little relevance to their management task (functional requirements) and fail even more to accommodate their working style (design requirements). This article focuses on the latter and contributes to new-generation EIS by identifying twelve principles for their design. The first step in doing so is to systematically develop requirements criteria for EIS design. On this point, our research revealed a twofold gap: as the rigor of scientific models (e.g. structural models of IS user satisfaction and technology acceptance) increases, they become less relevant for direct use in practice. At the same time, practitioner journals demonstrate relevance, but do not evidence strong rigor. Linking the requirements criteria with rigor and relevance, this article applies the principle of economic efficiency. In a second step, using that schema, design principles for new-generation EIS are derived. They are based on gaps identified in an empirical study and the findings of four instantiations within the chemicals, logistics, high-tech, and automotive supplier industries

A Maturity Model for Management Control Systems: Five Evolutionary Steps to Guide Development

Corporate management in today's international companies has become increasingly complex. To cope with the growing challenges, information technology (IT)-based management control systems (MCSs) covering reporting, planning, and consolidation have been deployed. Despite their tradition in management research, the ‘right' setup of MCSs is still challenging. Maturity models (MMs) are an established instrument to identify strengths and weaknesses of certain domains. As existing MMs rather focus on single MCS domains, neglect an IT perspective and miss a sound methodical foundation, this paper outlines an empirically and algorithmically constructed MCS MM. The model consists of three partial MMs for reporting, planning, and consolidation, which are integrated into one holistic MCS MM. The five levels of the MCS MM guide MCS evolution from a basic, mandatory/external-driven MCS (level1) to a balanced MCS (level2), and a comprehensive MCS (level3). Ultimately, MCSs show a strong strategic focus (level4) and leverage the potentials of modern IT (level5

A Maturity Model for Management Control Systems - Five Evolutionary Steps to Guide Development

Corporate management in today’s international companies has become increasingly complex. To cope with the growing challenges, information technology (IT)-based management control systems (MCSs) covering reporting, planning, and consolidation have been deployed. Despite their tradition in management research, the ‘right’ setup of MCSs is still challenging. Maturity models (MMs) are an established instrument to identify strengths and weaknesses of certain domains. As existing MMs rather focus on single MCS domains, neglect an IT perspective and miss a sound methodical foundation, this paper outlines an empirically and algorithmically constructed MCS MM. The model consists of three partial MMs for reporting, planning, and consolidation, which are integrated into one holistic MCS MM. The five levels of the MCS MM guide MCS evolution from a basic, mandatory/external-driven MCS (level 1) to a balanced MCS (level 2), and a comprehensive MCS (level 3). Ultimately, MCSs show a strong strategic focus (level 4) and leverage the potentials of modern IT (level 5)

Schallemissionsmessungen zur Spanndrahtbrucherkennung

Die Schallemissionsanalyse zur Spanndrahtbrucherkennung etabliert sich in Deutschland als Verfahren zur Überwachung vorgespannter Konstruktionen. Das Interesse liegt dabei auf der zuverlässigen Erkennung von Spanndrahtbrüchen, also der Beschreibung des Quellmechanismus. Zwei Forschungsschwerpunkte gehen damit einher, die hier thematisiert und erste Ergebnisse vorgestellt werden: Einerseits gilt es die Kette von der Signalentstehung, Signalübertragung bis hin zur aufgezeichneten Welle allgemeingültig zu formulieren, um Rückschlüsse auf den Quellmechanismus zu ziehen. Andererseits werden maschinelle Lernverfahren angewendet, um das Potential solcher Methoden auf diese Art von Daten aufzuzeigen. Nach Berechnung von Merkmalen aus dem Frequenzraum konnte bei einer Klassifikation von Hammerschlag-Signalen eine Genauigkeit von 98% erreicht werden.Acoustic emission analysis for tendon wire break detection is establishing itself in Germany as a method for monitoring of prestressed structures. The focus lies in the reliable detection of tendon wire breaks, i.e. the description of the source mechanism. Two main areas of research are associated with this, whichare discussed in this paper: On the one hand, the measurement chain for describing the signal transmission from signal generation to the recorded wave must be formulated in a generally valid way in order to draw conclusions about the source mechanism. On the other hand, machine learning methods are used to show the potential of such methods for this kind of data. After calculating features from the frequency space, an accuracy of 98 % could be achieved with a classification

Mathematik digital erleben - Diskussion aktueller Projekte

Wichtige Basis für vielen Forschungsarbeiten und Lehrtätigkeiten der Mathematikdidaktik der Universität Siegen ist die Bedeutung von Auffassungen von Mathematik für die Entwicklung und Vermittlung mathematischen Wissens. Dabei beziehen wir uns insbesondere auf Arbeiten von Burscheid & Struve (2020), Tall (2013) und Schoenfeld (1985). Weniger Untersuchungen in Zusammenhang mit digitalen Medien und Werkzeugen im Mathematikunterricht beschäftigen sich derzeit mit den Beliefs von angehenden Lehrkräften, Studierenden oder Schüler/-innen.Projekte zu Mathematik digital erleben an der Universität Siegen nehmen diese Adressatengruppen besonders in den Blick. Diese wollen wir an dieser Stelle der Community zur Diskussion stellen und auf interessante Weiterentwicklungen aufmerksam machen

Immunophenotyping of Circulating and Intratumoral Myeloid and T Cells in Glioblastoma Patients

Glioblastoma is the most common and lethal primary brain malignancy that almost inevitably recurs as therapy-refractory cancer. While the success of immune checkpoint blockade (ICB) revealed the immense potential of immune-targeted therapies in several types of cancers outside the central nervous system, it failed to show objective responses in glioblastoma patients as of now. The ability of glioblastoma cells to drive multiple modes of T cell dysfunction while exhibiting low-quality neoepitopes, low-mutational load, and poor antigen priming limits anti-tumor immunity and efficacy of antigen-unspecific immunotherapies such as ICB. An in-depth understanding of the GBM immune landscape is essential to delineate and reprogram such immunosuppressive circuits during disease progression. In this view, the present study aimed to characterize the peripheral and intratumoral immune compartments of 35 glioblastoma patients compared to age- and sex-matched healthy control probands, particularly focusing on exhaustion signatures on myeloid and T cell subsets. Compared to healthy control participants, different immune signatures were already found in the peripheral circulation, partially related to the steroid medication the patients received. Intratumoral CD4+ and CD8+ TEM cells (CD62Llow/CD45ROhigh) revealed a high expression of PD1, which was also increased on intratumoral, pro-tumorigenic macrophages/microglia. Histopathological analysis further identified high PSGL-1 expression levels of the latter, which has recently been linked to increased metastasis in melanoma and colon cancer via P-selectin-mediated platelet activation. Overall, the present study comprises immunophenotyping of a patient cohort to give implications for eligible immunotherapeutic targets in neurooncology in the future