136 research outputs found

    CATCHWORD

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    Multifractal analysis of electronic states on random Voronoi-Delaunay lattices

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    We consider the transport of non-interacting electrons on two- and three-dimensional random Voronoi-Delaunay lattices. It was recently shown that these topologically disordered lattices feature strong disorder anticorrelations between the coordination numbers that qualitatively change the properties of continuous and first-order phase transitions. To determine whether or not these unusual features also influence Anderson localization, we study the electronic wave functions by multifractal analysis and finite-size scaling. We observe only localized states for all energies in the two-dimensional system. In three dimensions, we find two Anderson transitions between localized and extended states very close to the band edges. The critical exponent of the localization length is about 1.6. All these results agree with the usual orthogonal universality class. Additional generic energetic randomness introduced via random potentials does not lead to qualitative changes but allows us to obtain a phase diagram by varying the strength of these potentials

    Sharing Economy

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    FinTech services from BigTech companies

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    The soā€called BigTech companies Amazon, Alphabet, Apple and Meta and are constantly attempting to grow into new business areas. Due to their expertise in data analysis, they have managed to quickly establish themselves in many industries as digital ecosystems and, as part of this strategy, are also expanding their footprint in financial services. However, the biggest challenge that BigTech companies are facing in financial services is customer acceptance. This paper contributes to the emerging field of digital ecosystems and the acceptance of sensitive services by users. Although the BigTech firms have gained much attention, only little empirical analysis is available. This paper aims to shed light on the determinants of customer acceptance of BigTech banking services. Based on a survey in Switzerland this researchĀ develops an analytic model to identify and test the relevantĀ determinants. The results indicate that the strongest significant influences were found in subjective risk and trust which clearly demonstrates the stillā€existing incumbents' advantage over the BigTech companies

    Quantum critical behavior of the superfluid-Mott glass transition

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    We investigate the zero-temperature superfluid to insulator transitions in a diluted two-dimensional quantum rotor model with particle-hole symmetry. We map the Hamiltonian onto a classical (2+1)(2+1)-dimensional XY model with columnar disorder which we analyze by means of large-scale Monte Carlo simulations. For dilutions below the lattice percolation threshold, the system undergoes a generic superfluid-Mott glass transition. In contrast to other quantum phase transitions in disordered systems, its critical behavior is of conventional power-law type with universal (dilution-independent) critical exponents z=1.52(3)z=1.52(3), Ī½=1.16(5)\nu=1.16(5), Ī²/Ī½=0.48(2)\beta/\nu= 0.48(2), Ī³/Ī½=2.52(4)\gamma/\nu=2.52(4), and Ī·=āˆ’0.52(4)\eta=-0.52(4). These values agree with and improve upon earlier Monte-Carlo results [Phys. Rev. Lett. 92, 015703 (2004)] while (partially) excluding other findings in the literature. As a further test of universality, we also consider a soft-spin version of the classical Hamiltonian. In addition, we study the percolation quantum phase transition across the lattice percolation threshold; its critical behavior is governed by the lattice percolation exponents in agreement with recent theoretical predictions. We relate our results to a general classification of phase transitions in disordered systems, and we briefly discuss experiments.Comment: 10 pages, 12 figures, final version as publishe

    Decreasing the impact of climate change in value chains by leveraging sustainable finance

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    Scope 3 greenhouse gas (GHG) emissions are frequently the most relevant element of a company's total emissions since they account for more than eighty percent. However, they are difficult to calculate since many stakeholders in the value chain are involved and emission data are usually not shared among them. Sustainable finance could provide a link to this discussion by providing data, digital data infrastructures and evaluation instruments. However, the existing research today is either limited to analyzing the levels of scope 3 emissions or to calculating them based on different measurement methods. How to implement scope 3 emissions reporting by solving the data sharing challenge remains mainly unexplored. This paper aims to close this gap by developing an approach, which chooses sustainable finance as a connecting element that (1) combines different calculation methods, (2) integrates cross-value chain data from different stakeholders and (3) combines primary and secondary data in a single model. The approach was developed in a prototype that uses real world data from collaboration with the UN-convened Net-Zero Asset Owner Alliance to evaluate its applicability. The findings of the prototype indicate that a digital data infrastructure can improve the calculation of scope 3 GHG emissions by improving data availability, accessibility and reliability and at the same time shows that the calculations are only as good as the data, which fuels this calculation. With this, the paper contributes to the theoretical and practical discussion about scope 3 GHG emission data

    A taxonomy for Decentralized Finance

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    Decentralized Finance (ā€˜DeFiā€™) has gained tremendous momentum over the past three years by using novel approaches to disintermediating financial institutions in the provision of financial services. However, empirical research in this field is still rare and a more comprehensive understanding of the domain is a missing component in academic research. This paper develops a taxonomy based on a comprehensive literature analysis to structure this emerging field systematically. The application of the taxonomy to 278 DeFi start-ups reveals that most of the DeFi start-ups focus on Ethereum (36.3%) and have a focus on analytics and automation (52%), while only a few incorporate decentralized governance approaches (3.3%), provide decentralized exchanges (14%) or integrate off-chain data

    A taxonomy for decentralized finance

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    Decentralized Finance (ā€˜DeFiā€™) has gained tremendous momentum over the past three years by using novel approaches to disintermediating financial institutions in the provision of financial services. However, empirical research in this field is still rare, and a more comprehensive understanding of the domain is a missing component in academic research. This paper develops a taxonomy based on a comprehensive literature analysis to structure this emerging field systematically. The taxonomy includes three perspectives (strategy, organization, technology) and seven dimensions (blockchain, value proposition, token type, business process, price mechanism, protocol type, integration type) as well as thirty-six characteristics. The application of the taxonomy to 278 DeFi start-ups reveals that most of the DeFi start-ups focus on Ethereum (36.3%) and have a focus on analytics and automation (52%), while, surprisingly only a few incorporate decentralized governance approaches (3.3%), provide decentralized exchanges (14%) or integrate off-chain data

    A framework for assessing Web 2.0 customer interaction maturity: The case of the banking industry

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    Web 2.0 applications change future customer interaction. This paper develops a framework that enables companies to assess their current stage of Web 2.0 maturity. It enhances existing approaches by adding customer-focused Web 2.0 design patterns and applies it at the case of six top-ranked international banks. The results reveal that the potentials of customer-bank interaction through Web 2.0 within the banking industry are not fully tapped yet

    Realizing Value From Tablet-Supported Customer Advisory: Cases From the Banking Industry

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    Tablet computers (tablets) have gained much attention in research, the application in a banking industry context remains somewhat unexplored. In particular, tablets could enhance customer-facing business processes, such as face-to-face advisory processes in the banking industry. This paper analyses the potentials of tablet-supported customer advisory and the impact on the advisory process based on expert interviews with three financial institutes. The study provides evidence that tablets promise to add value in a face-to-face advisory situation and may have an impact to the traditional advisory pro- cess
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