Cities Including Children

Dr L.E.D. Divito (Lori)

Professor of Collaborative Innovation and Entrepreneurship
Telephone:
0621157353
Email:
l.e.d.divito@hva.nl
Work address:
Fraijlemaborg, Fraijlemaborg 133, 1102 CV Amsterdam
Postal address:
Postbus 524,1000 AM Amsterdam
Social media:
Personal website:
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Lori DiVito joined the Amsterdam University of Applied Sciences in 2007 as a lecturer and completed her PhD at University of Manchester, Alliance Manchester Business School in 2010. Her research interests focus on understanding the dynamics of multistakeholder collaboration and inter-organizational relations, including their formation, governance and internationalization,
in the context of innovation and sustainability. Her recent projects focus on longitudinal studies in the textile and fashion industry. The Alliance for Responsible Denim (ARD) project aimed to understand how competitors collaborate together to improve sustainability impact.

Her current project Collaborative Networks for Sustainability (CONESU) investigates the role of orchestration in the value creation and capture of multi-stakeholder initiatives.
She has published her work in international peer-reviewed journals including Business & Society, Journal of Business Venturing, Research Policy, Long Range Planning and Small Business Economics. She presents her work at various academic conferences in Europe and the USA. She also has extensive work experience in strategy and marketing for multinational firms.

At AMSIB, Dr. DiVito teaches courses on sustainable entrepreneurship, circular economy and organizing for sustainability transitions. She holds a BA from San Francisco State University, an MBA from Webster University, Leiden, in The Netherlands, and a PhD in Organisational Studies from Manchester Business School, University of Manchester, UK. She is a member of the Academy of Management (AOM), European Group of Organizational Studies (EGOS) and the Danish Research Unit for Industrial Dynamics (DRUID) Society.

Go to Research database
Go to Research database