This paper takes both a conceptual and an empirical approach to answer the question as to how Corporate Social Responsibility (CSR) can be connected to the company's role as an agent of social value creation when it operates within an imperfect institutional framework of market competition. To...

The Balanced Scorecard (BSC) analysis can identify relationships between different sectors of the company's activities and the interactions between them. Prof. Bernard Morard together with Dr. Alexandru Stancu and Dr. Christophe Jeannette from University of Geneva, Switzerland developed a way of...

Countries' economic complexity, and the associated diversification and sophistication of their exports, is a key determinant of economic growth. Understanding how South African firms learn to export more sophisticated products is, therefore, an important policy issue. Using administrative data...

This paper is a revision of the Discussion Paper 2012-02 intended to modify several interpretations of the empirical analysis. In this modified version, the paper takes both a conceptual and an empirical approach to answer the question of how CSR can be con-nected to the company’s role as an...

This paper takes both a conceptual and an empirical approach to answer the question of how CSR can be connected to the company’s role as an agent of social value creation that operates within an imperfect institutional framework of market competition. To develop a functional design for an...

We perform a rather careful spectral analysis of the correlation structures observed in real and financial returns for a large pool of long-lived US corporations, and find that financial returns are characterized by strong collective fluctuations that are absent from real returns. Once the...

Production functions provide a mapping from the firms' input quantity and productivity to output quantity. This mapping only generates unbiased estimates if input and output quality variation within and between observation units is accounted for. I review and classify state-of-the-art methods to...

In a rapidly changing world, older data is not as informative as the most recent data. This is known as a concept drift problem in statistics and machine learning. How does a firm adapt in such an environment? To address this research question, we propose a generalized revealed preference...

We study how firms adjust the bundles of management practices they adopt over time, using repeated survey data collected in Germany from 2012 to 2018. By employing unsupervised machine learning, we leverage high-dimensional data on human resource policies to describe clusters of management...

Global food production practices and consumption patterns have changed notably in the last few decades. Current dietary patterns are characterized by increased consumption of refined sugars as well as higher intakes of heavily-processed and animal-source foods, which results in higher obesity...