Results 41 to 50 of about 1,378 (255)

Unpacking ESG Controversies: A Proposed Integrated Framework of Organizational Frictions and Fallout From a Systematic Literature Review

Business Strategy and the Environment, EarlyView.
ABSTRACT Research on ESG controversies has expanded rapidly, but findings remain fragmented and lack a unifying perspective. This study conducts a PRISMA‐guided, framework‐based systematic review of 68 empirical articles published between 2018 and 2025 (May) to synthesize the main determinants and consequences of ESG controversies.
Cristina Alexandrina Ştefănescu, Andra Larisa Suciu   +1 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

Exploring the Role of Global Value Chain Position in Economic Models for Bankruptcy Forecasting

Econometrics
This study addresses a significant gap in the literature by comparing the effectiveness of traditional statistical methods with artificial intelligence (AI) techniques in predicting bankruptcy among small and medium-sized enterprises (SMEs).
Mélanie Croquet, Loredana Cultrera, Dimitri Laroutis, Laetitia Pozniak, Guillaume Vermeylen   +4 more
doaj   +1 more source

Dynamic Bankruptcy Prediction Models for European Enterprises [PDF]

Journal of Risk and Financial Management, 2019
This manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a firm’s bankruptcy risk is one of the most interesting topics for investors and decision-makers. The aim of the paper is to develop and to evaluate dynamic bankruptcy prediction models for European enterprises.
openaire   +2 more sources

Does Climate Risk Affect Employment Decisions? International Evidence

Business Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the effect of climate risk on corporate employment decisions. Using a large sample from 41 countries, we find a positive association between climate risk and underinvestment in labor, notably manifesting as excessive employee layoffs.
Claude Francoeur, Faten Lakhal, Hamza Nizar, Zvi Singer   +3 more
wiley   +1 more source

Climate Change Risk and Financial Stability: Implications for European Banking Institutions

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether climate change risk weakens banking‐system stability in the European Union and assesses how renewable energy adoption and energy‐related taxation moderate this relationship. Using panel data for 27 EU countries from 2012 to 2022 and applying fixed‐effects OLS, two‐stage least squares (2SLS), and robust generalized ...
Md Yousuf Ali
wiley   +1 more source

A comprehensive survey of imbalanced learning methods for bankruptcy prediction

IET Communications, 2022
In practical datasets used for supervised learning, the uneven distribution of the amounts of data between classes is known as the class imbalance problem, and can reduce the performance of basic classifiers. The class imbalance problem arises in various
Tuong Le
doaj   +1 more source

From Material Tensions to Organizational Paradoxes: How Manufacturers Cope With the Limits of Circular Product Design

Business Strategy and the Environment, EarlyView.
ABSTRACT Circular product design (CPD) is central to advancing the circular economy by enabling the narrowing, slowing, and closing of resource flows. Yet, its implementation remains persistently challenging for firms. Prior research has largely framed these challenges as discrete barriers, overlooking the structural contradictions embedded in CPD ...
Vanessa Robertson, Nelly Rahimy, Suleika Bort   +2 more
wiley   +1 more source

Application of Artificial Neural Network Models in Predicting Economic Bankruptcy of the Registered Corporations in Stock Market [PDF]

جستارهای اقتصادی, 2006
"Artificial Neural Network" is known as one of the most advanced "Bankruptcy Prediction Models". Based on this research paper، the main structure of three - and four - layer Perceptron models for bankruptcy prediction had led to same models; however ...
Akbar Komijanie, Javad Sa'adatfar
doaj  

Corporate bankruptcy prediction model

International journal of business, economics and management
This study is a systematic literature review aimed at providing a comprehensive understanding of the use of various models such as Altman Z-Score, Springate, Zmijewski, Grover, Beneish, and Ohlson in the analysis of bankruptcy prediction for companies.
Fitriyah Insani, Grace T Pontoh, Darwis Said   +2 more
openaire   +1 more source