Publications

DIGI-ME

Deliverables

This report presents the updated Targeted Skills Framework (TSF v1.1) developed as part of the DIGI-ME project, which aims to enhance business master’s programs with relevant digital competencies and skills. It responds to the increasing need for business education to evolve in light of digital transformation and shifting labour market expectations.

The report identifies the core challenges business programs face in adapting to these changes and outlines the rationale for integrating digital elements into their curricula. A revised methodology for developing the TSF v1.1 is presented, combining empirical data from multi-stakeholder workshops, a systematic literature review, and needs analysis. This methodological refinement supports the development of TSF v1.1. The framework includes four interlinked components: managerial competencies, digital competencies, proficiency levels, and emerging technologies. Each is grounded in evidence and supported by extensive data included in the annexes.

TSF v1.1 serves as a robust foundation for building digital capability within business education and provides practical guidance for educators, program designers, and institutional leaders.

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DIGI-ME

Scientific Contributions

Authors: Valentina Beretta, Enrico Cotta Ramusino, Maria Chiara Demartini, Emanuel Bagna 

DOI: https://doi.org/10.1016/j.irfa.2025.104375 

Abstract: This study adopts a bibliometric and content analysis to investigate extant literature on the link between sustainability and M&A. Findings from the analysis of 96 papers show that the extant literature is fragmented and interdisciplinary, with many authors from Chinese and Australian institutions analysing primarily Chinese and US firms. Preferred outlets either are in the field of general management or specialized in finance. From a methodological perspective, quantitative studies represent by far the majority of the analysed sample. Several avenues for further research are addressed. 

Keywords: M&A, Sustainability, Bibliometric, Performance analysis, Science mapping 

Link to the article: https://www.sciencedirect.com/science/article/pii/S1057521925004624