The collaboration between artificial intelligence (AI) and humans is reshaping international
business (IB) management dynamics, aiming to achieve global sustainable development …

Deep learning is used to analyze temporal trade flow data from 62 countries from 2017 to
2021. The model incorporates 63 explanatory country fixed effects and country-pair psychic …

National boundaries and country averages are commonly used as delimiters and proxies for
culture. By doing so, not enough attention is paid to cultural heterogeneity within and …

In the real world of international business, machine learning (ML) is well established as an
essential element in many operations, from finance and logistics to marketing and strategy …

Purpose–The main purpose of the present study is to develop an integrated approach
combining data envelopment analysis (DEA) and neural network (NN) for assessment and …

Purpose The purpose of this paper is to systematically assess the empirical support for
central relationships in the empirical literature on foreign market entry mode. The reviewing …

Existing empirical studies of cross-border acquisition completion by emerging market
multinational enterprises remain highly contextual, yielding inconsistent evidence regarding …

The issue of cross-border merger and acquisition (CBMA) completion has garnered
significant attention from scholars, yet existing research primarily focuses on macro-and …

Purpose This study aims to develop and test a framework for integration between data
envelopment analysis (DEA) and artificial neural networks (ANN) to predict the best financial …

International business research often links the cultural and institutional characteristics of
countries to the features of the individuals inhabiting these countries. A distinct approach to …