Much attention has been given to how business schools in emerging economies can develop the quality and relevance of their teaching and research programmes, acknowledging the huge potential such development would unlock for those economies and the world. Some of this attention has, understandably, focused on researchers and the need for them to improve the scope and quality of their publications so that they ‘rank’ alongside those from developed economies.
In the framework of my PhD project, I undertook a research stay at Middlesex University Mauritius (www.middlesex.mu) at the beginning of 2019. In return for the university’s hospitality, I agreed to develop a research workshop series and thus to contribute to the university’s research goals. Together with Adeelah Kodabux and Denisha Seedoyal-Seereekissoon (current PhD students at Middlesex University Mauritius), we designed five workshops on the “Craft of Doing Research.” The workshops were targeted at current and future PhD students from Middlesex University Mauritius to provide valuable inputs on designing research projects successfully. Thanks to the support of the Global Business School Network, four of the five sessions were conducted by experienced scholars from different GBSN member universities.
The Emerging Markets Institute at Cornell University publishes the Emerging Market Multinationals Report (EMR) written by Lourdes Casanova and Anne Miroux, which monitors the rise of Emerging Multinationals and reflects on the growing role of China and Emerging Markets in this new phase of globalization.
The debate on Artificial Intelligence (AI) is characterized by hyperbole and hysteria. The hyperbole is due to two effects: first, the promotion of AI by self-interested investors. It can be termed the “Google-effect,” after its CEO Sundar Pichai, who declared AI to be “probably the most important thing humanity has ever worked on.” He would say that. Second, the promotion of AI by tech-evangelists as a solution to humanity’s fundamental problems, even death. It can be termed the “Singularity-effect,” after Ray Kurzweil, who believes AI will cause a “Singularity” by 2045.