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The usage of data to improve or create business models has become vital for companies in the 21st century. However, to extract value from data it is important to understand the business model. Taxonomies for data-driven business models (DDBM) aim to provide guidance for the development and ideation of new business models relying on data. In IS research, however, different taxonomies have emerged in recent years, partly redundant, partly contradictory. Thus, there is a need to synthesize the common ground of these taxonomies within IS research. Based on 26 IS-related taxonomies and 30 cases, we derive and define 14 generic building blocks of DDBM to develop a consolidated taxonomy that represents the current state-of-the-art. Thus, we integrate existing research on DDBM and provide avenues for further exploration of data-induced potentials for business models as well as for the development and analysis of general or industry-specific DDBM.
Power relations within the area of blockchain governance are complex by definition and a comprehensive analysis that links technological and institutional elements is missing to date. The research that is presented with this article focuses on the visualization of the shifting power relations with the introduction of blockchain. For this purpose, the analysis leverages an adjusted version of the multi-stakeholder influence mapping tool. The analysis considers the various stakeholders within the multi-layered blockchain technology stack and compares three fundamental blockchain scenarios, including public and private blockchain settings. The findings show that public administrations face indeed less power with the introduction of blockchain, while new stakeholders come into play who wield influence rather uncontrolled. Nonetheless, public administrations are not powerless overall and remain influential stakeholders. This paper concludes that blockchain governance is not as democratic as blockchain enthusiasts tend to argue and derives corresponding opportunities for further research.
As a central functionality of SNSs, the newsfeed is responsible for the way, how content is presented. This paper investigates the implications of current content presentation on Facebook, which has appeared to be a matter of users’ criticism. Leaning on the communication theory, we conceptualize clutter on a newsfeed as noise that hinders the receiver’s adequate message decoding (i.e., sensemaking). We further operationalize newsfeed clutter via perceived disorder, information overload, and system feature overload. Our participants browsed their Facebook newsfeed for at least 5 minutes. The follow-up survey results provide partial support for our hypotheses, with only perceived disorder significantly associated with lower sensemaking. These findings shed new light on user experience and underpin the importance of SNSs as communication systems, adding to the existent literature on the dark sides of social media.
On October 9, 2014, a Mw 7.1-6.7 seismic doublet occurred at the Juan Fernandez microplate, close to the triple junction with Pacific and Nazca plates. The Mw 7.1 earthquake is the largest earthquake ever to have been recorded in the region. Its thrust focal mechanism is also unusual for the region, although the northern part of the microplate is expected to undergo compression. The region is remote and seismological data is limited to a seismic station at similar to 600 km distance on Easter Island and teleseismic observations for the largest events. We use a combination of advanced seismological techniques to overcome the lack of local data and resolve earthquake source parameters for the doublet and its aftershock sequence, being able to reconstruct the chronology of the sequence and the geometry of affected fault segments. Our results depict a complex seismic sequence characterized by the interplay of thrust and strike-slip earthquakes along different structures, including a second, reversed strike slip-thrust seismic doublet in November 2014. Seismicity occurred within the microplate and only in the late part of the sequence migrated northward, towards the microplate boundary. The first largest doublet, whose rupture kinematic is well explained by stress changes imparted by the first subevent on the second one, may have activated unmapped E-W and NE-SW faults or an internal curved pseudofault, attributed to the longterm rotation of the microplate. Few large, thrust earthquakes are observed within the sequence, taking place in the vicinity of mapped compressional ridges. We suggest that compressional stresses in the northern part of the microplate and at its boundary are partially accommodated aseismically. However, the occasional occurrence of large, impulsive thrust earthquakes, with a considerable tsunamigenic potential, poses a relevant hazard for islands in the South Pacific region.
This book deconstructs Eurocentric narratives and showcases local voices to re-examine childhood in Eastern Africa.
Moving away from portrayals of eastern African childhood as characterised by want, the author argues for a differentiated and pluralist nature of the eastern African childhood. Taking a chronological approach, the author provides a multidisciplinary critical reading of Africanist research on childhood in eastern Africa, drawing from anthropological and cultural studies, while examining writings from the pre-imperial and colonial periods. Moving into the contemporary period, the book reveals the continuity, tensions and ruptures of these portrayals in humanitarian, legal, and journalistic discourses, before exploring postcolonial writings on childhood in works by Eastern African novelists.
Based on such a multidisciplinary perspective, this book will be of interest to scholars of African literature, eastern African history, critical childhood studies, museums and Africanist epistemologies.
Shadow education has become part of mass schooling in many societies. Against the background of the continuing expansion of formal education and the persistence of educational and social inequalities, the growing influence of shadow education begs major implications for the postulated goal of equality in educational opportunities. This chapter addresses this issue both theoretically and empirically, focusing on the following question: What is the relationship between the continuous growth of SE across the world and the persistence of social inequality in educational attainment? First, existing findings on the topic are reviewed before I draw on and expand neo-institutionalist and social reproduction theories to incorporate SE, thereby identifying the universal causes for the inevitable expansion of SE and its relation to social inequality across the world. Finally, policy implications and future research directions are discussed. The results of this analysis indicate that even though there exist tremendous differences in the effects of family background on SE use in different regions and systems of education across the world, SE always feeds into the broader institutionalization of education and its role for social stratification. SE might occupy a key role in maintaining vertical and horizontal inequalities in educational attainment in schooled societies, which continue to struggle with inequity of educational opportunities and outcomes in spite of massive educational expansion at the higher education levels and more equity in educational opportunities.
Статья посвящена общим вопросам регулирования программ комплаенса в Германии и их влиянию на уголовную и административную ответственность. Авторы начинают с общего обзора практики регулирования комплаенса в Германии и внедрения его в жизнь. Далее ими раскрывается значимость программ комплаенса для избежания уголовной ответственности в бизнес-среде. Особое внимание уделяется такому явлению, как несение уголовной ответственности уже вследствие внедрения программ комплаенса самого по себе. Авторы называют это явление самовоспроизводимым риском ответственности, возникающим ввиду чрезмерно детального регулирования допустимого и запрещенного поведения. Статья завершается обзором административной ответственности юридических лиц за нарушения, связанные с комплаенс-сферой.
We present general existence and uniqueness results for marked models with pair interactions, exemplified through Gibbs point processes on path space.
More precisely, we study a class of infinite-dimensional diffusions under Gibbsian interactions, in the context of marked point configurations: the starting points belong to R-d, and the marks are the paths of Langevin diffusions.
We use the entropy method to prove existence of an infinite-volume Gibbs point process and use cluster expansion tools to provide an explicit activity domain in which uniqueness holds.
Migration and democracy
(2021)
In the last few years, we have been increasingly experiencing a discursive and practical use of the existing democratic structures as an instrument of anti-immigration anxiety and sentiment, from electoral support to right-wing populist parties to anti-immigrant, xenophobic, and/or racist mobilizations in and beyond the Western world. This article argues that the origins and political histories that the concepts of demos and democracy stand on provide a firm ground to resist the attempts at their current nativist/nationalist closure. Contesting the attempts to reduce the concepts of democracy and demos to strictly limited or ethnically defined populations, the article develops a political argument that relates democracy and migration, which have been represented as opposite poles within the current political map defined by the populist surge.
Abstract
In recent years, feedforward neural networks (NNs) have been successfully applied to reconstruct global plasmasphere dynamics in the equatorial plane. These neural network‐based models capture the large‐scale dynamics of the plasmasphere, such as plume formation and erosion of the plasmasphere on the nightside. However, their performance depends strongly on the availability of training data. When the data coverage is limited or non‐existent, as occurs during geomagnetic storms, the performance of NNs significantly decreases, as networks inherently cannot learn from the limited number of examples. This limitation can be overcome by employing physics‐based modeling during strong geomagnetic storms. Physics‐based models show a stable performance during periods of disturbed geomagnetic activity if they are correctly initialized and configured. In this study, we illustrate how to combine the neural network‐ and physics‐based models of the plasmasphere in an optimal way by using data assimilation. The proposed approach utilizes advantages of both neural network‐ and physics‐based modeling and produces global plasma density reconstructions for both quiet and disturbed geomagnetic activity, including extreme geomagnetic storms. We validate the models quantitatively by comparing their output to the in‐situ density measurements from RBSP‐A for an 18‐month out‐of‐sample period from June 30, 2016 to January 01, 2018 and computing performance metrics. To validate the global density reconstructions qualitatively, we compare them to the IMAGE EUV images of the He+ particle distribution in the Earth's plasmasphere for a number of events in the past, including the Halloween storm in 2003.