Results 111 to 120 of about 7,744,752 (291)
Tactical and Strategic Risks From Supply Disruptions in Competing Supply Chains
ABSTRACT Supply chain disruptions can lead to both tactical (i.e., loss of short‐term sales during a disruption) and strategic (i.e., loss of long‐term market share) consequences. We model the impact of a supply disruption on competing supply chains in which two firms compete for a limited backup supply.
Akhil Singla +3 more
wiley +1 more source
The aim of this thesis is to describe some of the well-known, as well as several less-known, prediction models, and to verify their ability of predicting bankruptcy in the conditions of the Czech Republic.
Šustr, Jan
core +1 more source
Multi-period credit default prediction with time-varying covariates [PDF]
In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying ...
Orth, Walter
core
Sustainability‐Related Credit Risk: A Scientometric Mapping and Research Agenda
ABSTRACT Sustainability‐related credit‐risk research has grown rapidly as environmental, social, and governance (ESG), climate, and transition exposures increasingly affect credit pricing, default risk, and supervisory practice, positioning credit markets as key transmission channels for achieving the Sustainable Development Goals (SDGs), particularly ...
Imen Jellouli, Sana Jellouli
wiley +1 more source
Dynamic Graph Convolutional Network With Temporal Aggregation for Corporate Bankruptcy Prediction
Corporate bankruptcy prediction is crucial for financial risk management and economic stability. Traditional bankruptcy prediction models primarily focus on individual corporate features, neglecting the complex relationship networks among enterprises and
Yue Xiao, Xiaojin Liu
doaj +1 more source
Abstract Research Summary In this manuscript, we argue that the Entrepreneurs‐as‐Scientists (E‐a‐S) research program requires a fundamental shift from predominantly conceptual development toward an empirical agenda to achieve its normative goal: developing a scalable algorithm that improves entrepreneurial learning and value creation.
Arnaldo Camuffo +2 more
wiley +1 more source
The Effectiveness of Discriminant Models Based on the Example of the Manufacturing Sector
The best models of bankruptcy prediction have been selected that can indicate the deteriorating situation of a company several years before bankruptcy occurs.
Sebastian Klaudiusz Tomczak +1 more
doaj
When stakeholders are imposed: Non‐chosen stakeholder orientation and venture performance
Abstract Research Summary Extending stakeholder theory into the entrepreneurship context, we examine the performance implications of externally imposed stakeholder orientation, which we conceptualize as non‐chosen stakeholder orientation. Given the resource constraints, short time horizons, and high levels of uncertainty that characterize ventures, we ...
Myeongho David Park +2 more
wiley +1 more source
Are Foundation Models Useful for Bankruptcy Prediction?
Foundation models have shown promise across various financial applications, yet their effectiveness for corporate bankruptcy prediction remains systematically unevaluated against established methods. We study bankruptcy forecasting using Llama-3.3-70B-Instruct and TabPFN, evaluated on large, highly imbalanced datasets of over one million company ...
Marcin Kostrzewa +4 more
openaire +2 more sources
Are client ties pre‐entry resources? Performance implications of client tie diversification
Abstract Research Summary This study investigates client tie diversification, where firms enter markets with existing clients. Recognizing the theoretical basis for both positive and negative performance implications, the paper adopts a question‐driven approach and discovers a strong negative correlation between client tie diversification and firm ...
Heejung Byun
wiley +1 more source

