In order to fully benefit from the advantages induced by artificial intelligence (AI) at the corporate level, business organisations should be well aware of the factors contributing to the proper AI specialisation of their employees. In this context, the present paper aims to examine the role of...

This paper investigates the relationship between climate change, macroeconomic variables and indigenous livestock production in Nigeria over the period 1981-2023 using fractional integration and multivariate regression methods. More specifically, it examines how temperature and precipitation...

In this paper, I discuss three aspects of the Frisch-Waugh-Lovell theorem. First, I show that the theorem holds for linear instrumental variables estimation of a multiple regression model that is either exactly or overidentified. I show that with linear instrumental variables estimation: (a)...

We develop an estimation procedure of multiple regression function and its derivatives (formarginal e¤ects) based on multivariate maximum entropy (ME) density estimation. The relevantmoments and cross moments conditions are selected to be inlcuded in the inferred distribution.Finite sample and...

Background: Finding trends in freight transportation activities enables businesses and policy makers to build an understanding of freight transportation patterns and their impact on logistics planning when making investments in a region's transportation infrastructure and intermodal freight...

Which strategic capabilities simultaneously drive innovation and learning from failures (LFF)? We address this question with two objectives. First, synergies between innovation performance, failures, and LFF strategies are assessed. Second, heterogeneities in the determinants of these processes...

Institutional investors increasingly value alternative assets in strategic asset allocation, with private debt emerging as a key asset class. However, its shortage of market history has hindered the development of standardized proxy benchmarks. For that, many institutional investors still do not...

The objective of anti-money laundering (AML) programs is to disrupt the financial infrastructure of criminal organizations, thereby seizing illicit assets and curbing the expansion of these criminal activities. This paper assesses the effectiveness of AML programs in curbing three distinct forms...