Enterprise Architecture Artifacts Facilitating the Strategy Planning Process for Digital Transformations:a Systematic Literature Review and Multiple Case Study

The exploitation of new value propositions enabled by disruptive digital technologies—also known as digital transformations—influences the configuration of people, processes, and technology in a firm and must be considered in the enterprise’s strategy. Strategy planning, i.e., the process that determines strategy, is facilitated by enterprise architecture (EA). Hence, strategic plans are reflected in EA documents called artifacts. Our research identified fifteen EA artifacts that facilitate digital transformations’ strategy planning process through a systematic literature review. Furthermore, a multiple case study in the financial services sector was carried out to verify our theoretical findings. The case organizations show a fragmented implementation of EA artifacts, with each organization having established its own, almost unique, way of using them. Only four of the theoretically conceptualized artifacts were found in all organizations. Moreover, two EA artifacts used in all case organizations were not included in our theoretical conceptualization. In combination with the empirical research, the systematic literature review leads to an improved understanding of EA artifacts and their use in the strategy planning process for digital transformations

Die Universität als Lehrbetrieb vermessen: Inhaltserschließung der Leipziger Vorlesungsverzeichnisse 1814/15 – 1914

Die Deutsche Forschungsgemeinschaft (DFG) fördert an der Universitätsbibliothek Leipzig seit 2007 ein Pilotprojekt zur Wissenschaftsgeschichte, bei dem die Vorlesungsverzeichnisse als serielle Quellen inhaltlich und datenbanktechnisch erschlossen werden („Vorlesungsverzeichnisse als Quellen disziplinär organisierter Wissenschaft. Die Ausdifferenzierung wissenschaftlicher Fächer an der Universität Leipzig 1814/15– 1914“). Die Leipziger Vorlesungsverzeichnisse wurden vor Jahren gescannt und sind über einen sogenannten IPAC als Bild abrufbar. Nun werden sie in eine Datenbank eingegeben. Mitarbeiter des von Prof. Dr. Ulrich Johannes Schneider geleiteten Projekts sind Frank Fischer und Tobias Grave, unterstützt von drei Hilfskräften und externen Partnern für die Datenbanktechnik

Late-Paleozoic emplacement and Meso-Cenozoic reactivation of the southern Kazakhstan granitoid basement

International audienceThe Ili-Balkhash Basin in southeastern Kazakhstan is located at the junction of the actively deforming mountain ranges of western Junggar and the Tien Shan, and is therefore part of the southwestern Central Asian Orogenic Belt. The basement of the Ili-Balkhash area consists of an assemblage of mainly Precambrian microcontinental fragments, magmatic arcs and accretionary complexes. Eight magmatic basement samples (granitoids and tuffs) from the Ili-Balkhash area were dated with zircon U-Pb LA-ICP-MS and yield Carboniferous to late Permian (~ 350-260 Ma) crystallization ages. These ages are interpreted as reflecting the transition from subduction to (post-) collisional magmatism, related to the closure of the Junggar-Balkhash Ocean during the Carboniferous – early Permian and hence, to the final late Paleozoic accretion history of the ancestral Central Asian Orogenic Belt. Apatite fission track (AFT) dating of 14 basement samples (gneiss, granitoids and volcanic tuffs) mainly provides Cretaceous cooling ages. Thermal history modeling based on the AFT data reveals that several intracontinental tectonic reactivation episodes affected the studied basement during the late Mesozoic and Cenozoic. Late Mesozoic reactivation and associated basement exhumation is interpreted as distant effects of the Cimmerian collisions at the southern Eurasian margin and possibly of the Mongol-Okhotsk Orogeny in SE Siberia during the Jurassic – Cretaceous. Following tectonic stability during the Palaeogene, inherited basement structures were reactivated during the Neogene (constrained by Miocene AFT ages of ~ 17–10 Ma). This late Cenozoic reactivation is interpreted as the far-field response of the India-Eurasia collision and reflects the onset of modern mountain building and denudation in southeast Kazakhstan, which seems to be at least partially controlled by the inherited basement architecture

Tectonic history of the Kyrgyz South Tien Shan (Atbashi-Inylchek) suture zone : the role of inherited structures during deformation-propagation

Multimethod chronology was applied on intrusives bordering the Kyrgyz South Tien Shan suture (STSs) to decipher the timing of (1) formation and amalgamation of the suturing units and (2) intracontinental deformation that built the bordering mountain ranges. Zircon U/Pb data indicate similarities between the Tien Shan and Tarim Precambrian crust. Caledonian (similar to 440-410 Ma) and Hercynian (similar to 310-280 Ma) zircon U/Pb ages were found at the edge of the STSs, related to subduction and closure of the Turkestan Ocean and the formation of the suture itself. Permian-Triassic (similar to 280-210 Ma) titanite fission track and zircon (U-Th)/He data record the first signs of exhumation when the STSs evolved into a shear zone and the adjacent Tarim basin started to subside. Low-temperature thermochronological (apatite fission track, zircon and apatite (U-Th)/He) analyses reveal three distinct cooling phases, becoming younger toward the STSs center: (1) Jurassic-Cretaceous cooling ages provide evidence that a Mesozoic South Tien Shan orogen formed as a response to the Cimmerian orogeny; (2) Early Paleogene (similar to 60-45 Ma) data indicate a renewed pulse of STSs reactivation during the Early Cenozoic; (3) Neogene ages constrain the onset of the modern Tien Shan mountain building to the Late Oligocene (similar to 30-25 Ma), which intensified during the Miocene (similar to 10-8 Ma) and Pliocene (similar to 3-2 Ma). The Cenozoic signals may reflect renewed responses to collisions at the southern Eurasian border (i.e., the Kohistan-Dras and India-Eurasia collisions). This progressive rejuvenation of the STSs demonstrates that deformation has not migrated steadily into the forelands, but was focused on pre-existing basement structures

A framework to analyze argumentative knowledge construction in computer-supported collaborative learning

Computer-supported collaborative learning (CSCL) is often based on written argumentative discourse of learners, who discuss their perspectives on a problem with the goal to acquire knowledge. Lately, CSCL research focuses on the facilitation of specific processes of argumentative knowledge construction, e.g., with computer-supported collaboration scripts. In order to refine process-oriented instructional support, such as scripts, we need to measure the influence of scripts on specific processes of argumentative knowledge construction. In this article, we propose a multi-dimensional approach to analyze argumentative knowledge construction in CSCL from sampling and segmentation of the discourse corpora to the analysis of four process dimensions (participation, epistemic, argumentative, social mode)

Prediction of Mild Cognitive Impairment that Evolves into Alzheimer's Disease Dementia within Two Years using a Gene Expression Signature in Blood: A Pilot Study

Abstract. Background: The focus on Alzheimer's disease (AD) is shifting from dementia to the prodromal stage of the disorder, to a large extent due to increasing efforts in trying to develop disease modifying treatment for the disorder. For development of diseasemodifying drugs, a reliable and accurate test for identification of mild cognitive impairment (MCI) due to AD is essential. Objective: In the present study, MCI progressing to AD will be predicted using blood-based gene expression. Material and Methods: Gene expression analysis using qPCR was performed on blood RNA from a cohort of patients with amnestic MCI (aMCI; n = 66). Within the aMCI cohort, patients progressing to AD within 1 to 2 years were grouped as MCI converters (n = 34) and the patients remaining at the MCI stage after 2 years were grouped as stable MCI (n = 32). AD and control populations were also included in the study. Results: Multivariate statistical method partial least square regression was used to develop predictive models which later were tested using leave-one-out cross validation. Gene expression signatures that identified aMCI subjects that progressed to AD within 2 years with a prediction accuracy of 74%-77% were identified for the complete dataset and subsets thereof. Conclusion: The present pilot study demonstrates for the first time that MCI that evolves into AD dementia within 2 years may be predicted by analyzing gene expression in blood. Further studies will be needed to validate this gene signature as a potential test for AD in the predementia stage