9 AM - Zoom
Preliminary: ESG Scores, Risk and (Tail) Dependence
This Phd thesis will be split into three independent papers. The following topics will be considered for each paper: • Paper 1: Capturing (tail) dependence across ESG rated companies using copulas • Paper 2: Capturing (tail) dependence across ESG rated companies using graphical models • Paper 3: New approaches for an ESG diversified portfolio The results of the first paper have already been presented at CFE-20201 international conference in London on December 19-21, 2020 and has received great interest. The paper has also been developed under the supervision of Prof. Claudia Czado, a leading world scholar on copulas, from the Technical University Munich in Germany. We are at the moment in the process of writing up the paper
Spiral Evolution: A computational approach to market evolution, circular economy and the environment
In recent years, due to the growth of environmental and socio-economic issues, a pressing need to transition to a more sustainable socio-technical system has risen in different population groups. In this context, to address these and other sustainable issues, the concept of Circular Economy (CE) has gained importance and attracted the interest of a growing number of researchers and policymakers. Recent literature has focused on identifying the role of CE in business models and claimed that these principles have the potential to make profound changes in firms' business models for new value propositions and competitive advantage (Zucchella & Previtali, 2019). Analysing how these strategies impact on market dynamics and the environment require a proactive analysis that takes into consideration the co-evolution of these factors over time. To do this, it is necessary to diverge from the neoclassical assumptions in which material constraints and consequences of economic actions are not taken into consideration (Dale, 2020) and introduce a more comprehensive view. The aim of my study is therefore to analyse how CE principles could theoretically lead to achieve equilibrium between economic growth and environmental preservation.
Giuseppe Maria Ercolino
Modern slavery practices upon food delivery giggers
Despite 'modern slavery' is beginning to receive growing interest in business and social studies the research in business and management remains significantly underdeveloped (Caruana et al, 2021). In particular, there is limited knowledge of how modern slavery practices originate and how they are managed within modern organisations (Crane, 2013). By implementing a practice-based study based on ethnographic research, the aim of this research is to contribute to research on modern slavery through the study of modern slavery practices within the digital food delivery sector. This study could shed light on how modern slavery practices originate, are refined and managed within organisations.
Automation And Its Impact On Occupations, Employment And Productivity
Automation technologies, given their ability to perform many tasks, threaten to dislocate a large number of workers. This thesis aims to give a complete overview of the effects of automation on occupations, employment, labour productivity, total factor productivity, and firm growth. Specifically, three issues are analysed: 1) the probability of automation of occupations (i.e., the risk of substitution faced by workers) and how it is affected by socio-demographic characteristics of the worker, job-specific factors, and training; 2) the impact of the invention of industrial robots, artificial intelligence, and big data analytics on the labour demand of innovative firms; and 3) the effectiveness of incentive programmes for innovation in automation and the impact of automation on firm productivity and growth. The analyses take into account the influence of the institutional context. This thesis enhances knowledge of automation by analysing issues that have not yet been sufficiently addressed and by relying on the routine-biased technical change hypothesis and on the institutional theory. There are also policy and managerial implications as this thesis can inform the design of policies promoting training of workers and the invention and adoption of automation technologies. Firms can receive information on the effects of automation and know what needs to be done to reap its benefits while safeguarding workers. Keywords: automation, employment, probability of automation, innovation, public policy