With innovations in technology, the application of artificial intelligence (A.I) in the area of commerce is rising to the top with an expected growing number of business transactions not just for entrepreneurs but for consumers as well. It advances the understanding of how A.I. can be used to...

This paper uses a sample of over 9.5 million workers from 22 European countries to study the intertwined effects of digital technology and cross-border production links on workers' wellbeing. We compare the social effects of technological change exhibited by three types of innovation:...

Using panel data on immigrant populations from European, Asian and African countries the study estimates positive associations between the number of mobile applications in use aiming to facilitate immigrants' societal integration (m-Integration) and increased level of integration (Ethnosizer),...

Three out of nine of S&P500 digital platform companies stand out as building own artificial intelligence (AI) platforms. There is overwhelming empirical evidence of AI technologies are being central to running a digital platform business. However, the current research agenda is not directing...

Artificial intelligence and robotics (AI/R) have the potential to result in great change of livelihoods. While individual impacts of AI/R on, for instance, employment, have been subject to a lot of research, how AI/R may affect the poor is scarce. This paper aims to draw attention to how AI/R...

Using panel data on immigrant populations from European, Asian and African countries the study estimates positive associations between the number of mobile applications in use aiming to facilitate immigrants’ societal integration (m-Integration) and increased level of integration (Ethnosizer),...

This study aims to examine the effect of entrepreneurship education and artificial intelligence (AI) development on entrepreneurial intentions while investigating the mediating role of perceived behavioral control. The proposed model also accounts for individual and contextual socioeconomic...

The econometrics literature proposed several new causal machine learning methods (CML) in the past few years. These methods harness the strength of machine learning methods to flexibly model the relationship between the treatment, outcome and confounders, while providing valid inferential...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...

Causal knowledge is critical for strategic and organizational decision-making. By contrast, standard machine learning approaches remain purely correlational and prediction-based, rendering them unsuitable for addressing a wide variety of managerial decision problems. Taking a mixed-methods...