Results 211 to 220 of about 3,445,645 (298)

Can Digital Finance Drive Green Growth and Sustainable Development? Evidence From 118 Countries Across Development Status and Crisis Contexts

Sustainable Development, EarlyView.
ABSTRACT This study investigates whether and under what conditions digital finance advances green growth (GG) and broader sustainable development (SD) objectives in a financially volatile, climate‐constrained, and developmentally unequal world. Using annual data for 118 developed and developing countries from 2004 to 2022, we construct four Principal ...
Sehar Saleem, Zakaria Boulanouar, Shumaila Zeb, Sami Ullah   +3 more
wiley   +1 more source

A systematic review and future directions for AI-driven detection of fraud patterns in SACCO transactions. [PDF]

Front Artif Intell
Ampumuza D, Katushabe C, Tamale M.
europepmc   +1 more source

“Touching the Tarmac”: Conjuring the Urban Frontier on a Remote Periphery

Economic Anthropology, EarlyView.
ABSTRACT Anthropologists have demonstrated how the creation of land markets as “frontiers” for global capital requires practices of “conjuring”—the narrative construction of place as desirable for large‐scale investment. This article emphasizes the contingency of this conjuring process in an urbanizing Kenya where land‐selling companies have emerged to
Peter Lockwood
wiley   +1 more source

Organisational scale and fraud volatility: An exploratory agent-based simulation of occupational fraud dynamics. [PDF]

PLoS One
Freeman C.
europepmc   +1 more source

Value creation and capture in artificial intelligence‐enabled ecosystems

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary We develop an ecosystem perspective on AI‐enabled value creation, grounded in AI's characteristics as a general‐purpose technology. We consider that AI can support multiple value propositions realized through distinct but interconnected ecosystems.
Rahul Kapoor, Manav Raj
wiley   +1 more source

Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalance. [PDF]

Front Artif Intell
Becerra-Suarez FL, Arones-Perez PP, Zamora-Del-Aguila FF, Forero MG.   +3 more
europepmc   +1 more source

Whither business model innovation strategy in the age of AI?

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary We argue that business models are transformed into auto‐adaptive systems through embedded AI inference and learning activities. The competitive advantage of focal firms may increasingly depend on how effectively their activity systems learn relative to competing business models, with learning serving as a meta value driver ...
Christoph Zott, Raphael Amit
wiley   +1 more source

Correction: Deshmukh et al. Enhancing Privacy in IoT-Enabled Digital Infrastructure: Evaluating Federated Learning for Intrusion and Fraud Detection. <i>Sensors</i> 2025, <i>25</i>, 3043. [PDF]

Sensors (Basel)
Deshmukh A, de la Rosa PE, Rodriguez RV, Dasari S.   +3 more
europepmc   +1 more source

Normal‐Mode‐Aware Augmented Kernel One‐Class SVM for Heterogeneous Normality Modeling

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Despite the rapid advances in anomaly detection, many existing methods assume that normal data are homogeneous and can be modeled by a single one‐class boundary. However, in many practical scenarios, normal data are heterogeneous and consist of multiple latent modes, making conventional latent‐space kernels insufficient to characterize normality.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Blockchain-enabled supply chain finance risk intelligent assessment and trust mechanism construction. [PDF]

Sci Rep
Chen Z, Zhang F.
europepmc   +1 more source