The digital divide between large enterprises and SMEs (Small and Medium-sized Enterprises) within industrial clusters poses a significant challenge to achieving collective digital transformation, exacerbated by the quasi-public goods, attributes of digital inclusion ecosystems, and the...

Background: The integration of unmanned aerial vehicles (UAVs) into warehouse management is shaped by a broad spectrum of influencing factors, yet practical adoption lagged behind its potential due to scarce quantitative models of factor interdependencies. Methods: This study systematically...

This paper reviews the theoretical and empirical foundations of peer and network effects, aiming to bridge insights from both literatures. We first analyze the microfoundations of peer effects through linear-quadratic network games, linking equilibrium behavior to network centrality and...

Exchange rate forecasting is an important issue in financial market analysis. Currency rates form a dynamic network of connections that can be efficiently modeled using graph neural networks (GNNs). The key mechanism of GNNs is the message passing between nodes, allowing for better modeling of...

This study investigates the evolving trajectories of romance fraud offenders in Ghana through a longitudinal qualitative design grounded in actor-network theory. Drawing on interviews with sixteen self-identified scammers conducted over a four-year period, the research traces how individuals...

Systemic risk in banking systems arises from losses transmitted through networks of contractual exposures. Yet, most widely used measures rely on market-implied volatility and equity prices rather than structural balance sheet fragilities. This paper develops a flow network framework that models...