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result(s) for
"Dominik, M."
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The value relevance of digital marketing capabilities to firm performance
by
Homburg, Christian
,
Wielgos, Dominik M
in
Customer relationship management
,
Digital marketing
,
Financial performance
2022
Digital transformation of the marketing organization forces firms to develop new digital marketing capabilities (DMCs) to remain competitive. However, despite considerable academic and managerial interest, the value relevance of DMCs beyond the value achieved through classic marketing capabilities (CMCs) remains unclear. Similarly, research investigating the interaction effect of DMCs and CMCs is scarce. We address both research gaps by drawing on a mixed-methods approach combining in-depth interviews and a multi-industry, multisource dataset. The results reveal that DMCs significantly contribute to firm profitability beyond the influence of CMCs. Drawing on the contingent view of resource-based theory, we investigate the moderating influence of organizational and environmental contingencies on the interaction effect of DMCs and CMCs. This investigation reveals important tradeoffs that result in actionable managerial implications for realizing the complementarity potential—and preventing the substitutive potential—of a firm’s DMCs and CMCs.
Journal Article
The Dynamics of Market Efficiency
by
Rösch, Dominik M.
,
Subrahmanyam, Avanidhar
,
van Dijk, Mathijs A.
in
1996-2010
,
Efficiency
,
Efficient markets
2017
We study the dynamics of high-frequency market efficiency measures. We provide evidence that these measures comove across stocks and with each other, suggesting the existence of a systematic market efficiency component. In vector autoregressions, we show that shocks to funding liquidity (the TED spread), hedge fund assets under management, and a proxy for algorithmic trading are significantly associated with systematic market efficiency. Thus, stock market efficiency is prone to systematic fluctuations, and, consistent with recent theories, events and policies that impact funding liquidity can affect the aggregate degree of price efficiency.
Journal Article
A hole spin qubit in a fin field-effect transistor above 4 kelvin
by
Warburton, Richard J.
,
Fuhrer, Andreas
,
Geyer, Simon
in
639/766/119/1000/1017
,
639/766/483/2802
,
639/766/483/481
2022
The greatest challenge in quantum computing is achieving scalability. Classical computing, which previously faced such issues, currently relies on silicon chips hosting billions of fin field-effect transistors. These devices are small enough for quantum applications: at low temperatures, an electron or hole trapped under the gate can serve as a spin qubit. Such an approach potentially allows the quantum hardware and its classical control electronics to be integrated on the same chip. However, this requires qubit operation at temperatures above 1 K, where the cooling overcomes heat dissipation. Here we show that silicon fin field-effect transistors can host spin qubits operating above 4 K. We achieve fast electrical control of hole spins with driving frequencies up to 150 MHz, single-qubit gate fidelities at the fault-tolerance threshold and a Rabi-oscillation quality factor greater than 87. Our devices feature both industry compatibility and quality, and are fabricated in a flexible and agile way that should accelerate further development.
Fin-shaped transistors can host hole spin qubits at high enough temperatures to potentially enable the scaling and development of quantum computing systems controlled by conventional electronics co-integrated in the same package.
Journal Article
Digital business capability: its impact on firm and customer performance
by
Kuehnl Christina
,
Homburg, Christian
,
Wielgos, Dominik M
in
Competitive advantage
,
Executives
,
Marketing
2021
Digital business transformation forces firms to develop foundational capabilities to remain competitive. However, despite considerable academic and managerial interest, the nature of a digital business capability (DBC) that creates value by effectively managing digital business transformation remains unclear. Drawing on a mixed-methods approach, we conceptualize and operationalize the DBC construct. In Study 1, we examine the effects of DBC on firm performance using a cross-industry, multisource dataset. In Study 2, we assess the effects of DBC on customer performance using a unique multisource, multilevel dataset collected at two points in time. The results reveal that DBC contributes to performance, even beyond the effects of established constructs. Importantly, DBC increasingly drives firm performance after reaching a critical level of internal dynamism (i.e., U-shaped moderation). By contrast, DBC particularly pays off at an optimal level of external dynamism (i.e., inverse U-shaped moderation). DBC is more valuable for business-to-consumer than for business-to-business firms.
Journal Article
Initial results from a first-in-human gene therapy trial on X-linked retinitis pigmentosa caused by mutations in RPGR
by
Girach, Aniz
,
Lujan, Brandon J.
,
Gregori, Ninel Z.
in
631/378/2613/1786
,
692/308/2056
,
692/308/2779/109/1940
2020
Retinal gene therapy has shown great promise in treating retinitis pigmentosa (RP), a primary photoreceptor degeneration that leads to severe sight loss in young people. In the present study, we report the first-in-human phase 1/2, dose-escalation clinical trial for X-linked RP caused by mutations in the RP GTPase regulator
(
RPGR
)
gene in 18 patients over up to 6 months of follow-up (
https://clinicaltrials.gov/
: NCT03116113). The primary outcome of the study was safety, and secondary outcomes included visual acuity, microperimetry and central retinal thickness. Apart from steroid-responsive subretinal inflammation in patients at the higher doses, there were no notable safety concerns after subretinal delivery of an adeno-associated viral vector encoding codon-optimized human
RPGR
(AAV8
-coRPGR
), meeting the pre-specified primary endpoint. Visual field improvements beginning at 1 month and maintained to the last point of follow-up were observed in six patients.
Early results from a first-in-human retinal gene therapy trial for X-linked retinitis pigmentosa indicate that, at an intermediate dose, AAV8-
RPGR
is safe and in a subset of patients can lead to gains in visual function.
Journal Article
Ultrafast hole spin qubit with gate-tunable spin–orbit switch functionality
by
Froning, Florian N. M.
,
Camenzind, Leon C.
,
van der Molen, Orson A. H.
in
639/766
,
639/766/119
,
639/766/119/1000/1016
2021
Quantum computers promise to execute complex tasks exponentially faster than any possible classical computer, and thus spur breakthroughs in quantum chemistry, material science and machine learning. However, quantum computers require fast and selective control of large numbers of individual qubits while maintaining coherence. Qubits based on hole spins in one-dimensional germanium/silicon nanostructures are predicted to experience an exceptionally strong yet electrically tunable spin–orbit interaction, which allows us to optimize qubit performance by switching between distinct modes of ultrafast manipulation, long coherence and individual addressability. Here we used millivolt gate voltage changes to tune the Rabi frequency of a hole spin qubit in a germanium/silicon nanowire from 31 to 219 MHz, its driven coherence time between 7 and 59 ns, and its Landé
g
-factor from 0.83 to 1.27. We thus demonstrated spin–orbit switch functionality, with on/off ratios of roughly seven, which could be further increased through improved gate design. Finally, we used this control to optimize our qubit further and approach the strong driving regime, with spin-flipping times as short as ~1 ns.
Quantum computing requires fast and selective control of a large number of individual qubits while maintaining coherence, which is hard to achieve concomitantly. All-electrical operation of a hole spin qubit in a Ge/Si nanowire demonstrates the principle of switching from a mode of selective and fast control to idling with increased coherence.
Journal Article
Overconfidence and the adoption of robo-advice: why overconfident investors drive the expansion of automated financial advice
by
Piehlmaier, Dominik M.
in
Artificial intelligence
,
Diffusion of innovation
,
Divergence of opinions
2022
Adaptive online platforms, powered by artificial intelligence, commonly referred to as robo-advice, steadily increase their market share. Yet these comparably new financial services are critically understudied. Little is known about why some investors adopt robo-advice for something as essential as asset allocation. The current paper tries to close this gap by shedding light on the causal effect of investor overconfidence on the propensity of using robo-advice. The study proposes a theoretical framework that combines the divergence of opinion hypothesis with consumer behavior insights and information technology diffusion research. The framework is empirically tested on the Investor Sample of the 2015 National Financial Capability Study, a subsample of 2000 US investors. The results from a series of generalized linear, structural, and semiparametric models show that in a pre-chasm market, overconfident investors have a significantly higher propensity of adopting robo-advice. While higher financial literacy seems to decrease robo-advice uptake, unjustified confidence in one’s knowledge causally increases it. Willingness to take financial risk cannot account for the significantly increased adoption of robo-advice among overconfident investors. The findings help managers to better position robo-advice by offering behavioral insights into their user base. In addition, the results outline a managerial tool to take demand-side actions to increase the likelihood of an end-user innovation crossing the chasm.
Journal Article
Anisotropic exchange interaction of two hole-spin qubits
by
Warburton, Richard J.
,
Geyer, Simon
,
Eggli, Rafael S.
in
639/766/119/1000/1017
,
639/766/483/2802
,
639/925/927/481
2024
Semiconductor spin qubits offer the potential to employ industrial transistor technology to produce large-scale quantum computers. Silicon hole spin qubits benefit from fast all-electrical qubit control and sweet spots to counteract charge and nuclear spin noise. However, the demonstration of a two-qubit interaction has remained an open challenge. One missing factor is an understanding of the exchange coupling in the presence of a strong spin–orbit interaction. Here we study two hole-spin qubits in a silicon fin field-effect transistor, the workhorse device of today’s semiconductor industry. We demonstrate electrical tunability of the exchange splitting from above 500 MHz to close-to-off and perform a conditional spin-flip in 24 ns. The exchange is anisotropic because of the spin–orbit interaction. Upon tunnelling from one quantum dot to the other, the spin is rotated by almost 180 degrees. The exchange Hamiltonian no longer has the Heisenberg form and can be engineered such that it enables two-qubit controlled rotation gates without a trade-off between speed and fidelity. This ideal behaviour applies over a wide range of magnetic field orientations, rendering the concept robust with respect to variations from qubit to qubit, indicating that it is a suitable approach for realizing a large-scale quantum computer.
A successful silicon spin qubit design should be rapidly scalable by benefiting from industrial transistor technology. This investigation of exchange interactions between two FinFET qubits provides a guide to implementing two-qubit gates for hole spins.
Journal Article