Results 21 to 30 of about 468 (117)
Abstract This work provides a review of data science methods that can be used to address a wide variety of business problems in the banking sector. The paper examines three modelling paradigms: the response, incremental response and the rate sensitivity to response approaches, emphasising the role they play to address these problems.
Jorge M. Arevalillo
wiley +1 more source
Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data
Abstract This study explores the performance of gradient boosting methods in bankruptcy prediction for a highly imbalanced dataset. We developed different heterogenous ensemble models based on three popular gradient boosting methods—XGBoost, LightGBM, and CatBoost.
Bahareh Amirshahi, Salim Lahmiri
wiley +1 more source
Abstract General population studies find that rates of child maltreatment are higher than those identified in the child welfare system. Some modes of administration may result in higher disclosure rates of child maltreatment by respondents. This study assesses differences in characteristics of parents who are recruited using telephone sampling ...
Bridget Freisthler +2 more
wiley +1 more source
Nowcasting services trade for the G7 economies
Abstract The growing importance of services trade in the global economy contrasts with the scarcity of timely data on this part of international trade. This paper develops models to nowcast aggregate services imports and exports, as measured by monthly services trade data, for the G7 countries.
Alexander Jaax +2 more
wiley +1 more source
Decentralized trustworthiness score management with smart contracts on the trustlend platform
The prototype demonstrates fundamental features and supports borrowers, lenders, and recommenders in establishing proposals and approvals. The prototype shows how end‐users can easily access loans with reduced collateral without hidden costs and swift transactions.
Wisnu Uriawan +3 more
wiley +1 more source
Platform work‐lives in the gig economy: Recentering work–family research
Abstract Crowdwork platforms have been widely celebrated as challenging gendered labor market inequalities through new digitally mediated possibilities for reconciling work, home, and family. This paper interrogates those claims and explores the wider implications of digital labor platforms for an expansive work–family research agenda stubbornly rooted
Al James
wiley +1 more source
Hard Work and Fun: Collective Online Interaction in a Case of Photo Fraud
Online platforms devoted to investigating criminal cases or mysteries are often seen as reaching outwards to identify suspects, promote punishment, and try to solve cases. Simultaneously, internal interactions between posters motivate them to contribute, even to outdo one another, and so a team spirit emerges.
Veronika Burcar Alm +2 more
wiley +1 more source
The high costs of outsourcing: Vendor errors, customer mistreatment, and well‐being in call centers
Abstract We analyze the impact of outsourcing on the well‐being of internal call center employees in the U.S. telecommunications industry. Our findings draw on mixed‐methods data. The qualitative findings suggest that internal employees experienced escalating job demands connected to errors by third‐party call center vendors and their employees due to ...
Sean O'Brady +2 more
wiley +1 more source
The significance of innovation and the expectation for employees to exhibit innovative behavior have been heightened as a result of swift technological advancements and an evolving business landscape. The present research is aimed at examining the impact of organizational justice on fostering innovation in a dynamic business environment.
Ahmad Qammar +5 more
wiley +1 more source
Sickness absenteeism among health workers in Cuiabá, Brazil. [PDF]
de Souza RAG, Frasson LH.
europepmc +1 more source

