In the later stages of the One Planet MBA our cohort have the opportunity to develop and apply innovative business thinking to solve the real-life challenge faced by one of our corporate partner organisations. The following case study comes from Glendon Filer a member of the 2016 graduating cohort.
Two Months in Tokyo with PwC Aarata’s Sustainability Team, by Glendon Filer – One Planet MBA Alumnus Class of 2016
I have recently returned from Japan where I undertook my One Planet MBA consultancy project, having spent the summer living and working in Tokyo, while completing an internship with PwC Aarata, Japan. Based 20 minutes’ walk from the entertainment and shopping hub of Shinjuku, I commuted across town each day to PwC’s office in Shiodome. Boasting views of Tokyo harbour and the famous Tsukiji fish market, it was an ideal place for some MBA level thinking. Outside it was a hot summer with many typhoons. Inside the office, days were long but – ultimately – rewarding.
by Delfina Zagarzazú – OnePlanet MBA Candidate 2016/2017
One Planet MBA participants at IDEO Workshop (photograph by Tim Pestridge Commercial Photography : www.timpestridge.co.uk)
Starting the first week of the program, the cohort of the One Planet MBA was immersed in exploring, discussing and reflecting upon the complexity of the current global challenges facing the world today (see WEF Report on 2016 Global Risks).
The business world is recognizing that operating in fragments with an isolated vision of the world has great implications on other parts of the ecosystem. It is no longer rational to believe the exploitation of resources in Africa won’t have implications on security, migration or food supply issues tied to other activities. As we enter a more fragile epoch with climate change, these operations will directly or indirectly impact our workers, supply chain and/or bottom line of our business. Digital and technological innovation are disrupting entire sectors and promoting new approaches to production and consumption while enabling new business models. Continue reading