This study examines the impact of foreign ownership on a firm's litigation risk. Drawing on corporate governance and signaling perspectives, we propose that foreign ownership functions as a monitoring mechanism, enhancing corporate governance, while also signaling to potential litigants that the focal firm may be more costly and challenging to litigate against. Therefore, foreign ownership helps mitigate litigation risk. Importantly, we emphasize the heterogeneity of foreign ownership by distinguishing between foreign institutional and corporate ownership, as well as considering the country of origin of foreign investors. Additionally, we find that a firm's analyst coverage and outward internationalization can substitute for the impact of foreign ownership. These findings contribute to international business and corporate litigation literature by unpacking the deterrent effect of foreign ownership on litigation risk.
Pruning encompasses a range of techniques aimed at increasing the sparsity of neural networks (NNs). These techniques can generally be framed as minimizing a loss function subject to an L0norm constraint. This paper introduces CoNNect, a novel differentiable regularizer for sparse NN training that ensures connectivity between input and output layers. CoNNect integrates with established pruning strategies and supports both structured and unstructured pruning. We proof that CoNNect approximates L0-regularization, guaranteeing maximally connected network structures while avoiding issues like layer collapse. Numerical experiments demonstrate that CoNNect improves classical pruning strategies and enhances state-of-the-art one-shot pruners, such as DepGraph and LLM-pruner. Copyright ?? 2025, The Authors. All rights reserved.
This paper presents an analysis of how inattention affects credit card repayment dates. Data from an Asian commercial bank reveal that 70 % of repayments are made prior to the due date and 21 % are late. We show that exogenous reductions in attention levels, stemming from weekdayweekend variations in billing dates and natural disasters, amplify late repayments and diminish early repayments. We find that early repayments are not random errors, and consumers learn to pay earlier or sign up for automatic payment after historical delays. We introduce a model based on inattention and heterogeneous awareness to explain these findings.
The benefits of learner-instructor interaction in traditional face-to-face educational settings is widely acknowledged. However, we have a limited understanding of how to improve such interactivity in online settings. This study finds that instructor humility is key to learner-instructor interaction in virtual settings: it indirectly affects learner satisfaction through learner-instructor interaction and learner intrinsic value. Learner self-efficacy moderates this indirect effect such that this impact is stronger at higher levels of learner self-efficacy. In Study 1, we employed a four-wave survey of 133 college students taking online business courses to empirically test the moderated mediation model. In Study 2, we conducted an experiment involving 420 participants that further confirmed the relationship between instructor humility and learner online learning experience. The discussion highlights theoretical and practical implications for the delivery of online education, as well as limitations and future research directions.