Strategic Analyst and Board Member since 2005. Her professional career spans technology, consulting, education and financial industries. She is currently a Member of the Board of Directors at a financial holding company in Switzerland and deals with governance, corporate sustainability, and post-acquisition strategic alignment.
She defended her Doctorate in Business Administration, DBA, in September 2022, on the theme “A Conceptual Model of a Stigmergic Information System Network for Social Sustainability: An Inductive Top-down Theorizing Approach” under the supervision of Professor Lapo MOLA, Associate Professor at the Skema Business School.
Thesis Direction
Pr Mola Lapo
Thesis Title
A Conceptual Model of a Stigmergic Information System Network for Social Sustainability: An Inductive Top-down Theorizing Approach
Abstract
IT is pervasive. We rely on technology for almost everything and automation is increasing daily. Human and cyber interaction may, one day, work in concert for social sustainability. But, machines need to be instructed or programmed in order to think and do things we want them to do. What is missing so far is a guide, a model that allows us, the stakeholders, to evaluate to what extent these technologies think and operate in line with our expectations and in terms of value and societal requirements. This thesis conceptualizes the patterns that bring together different sets of social value and social impact indicators for systemic alignment with social sustainability.
This conceptual model is an early step in the investigation of an information system network that connects the information to support decision-making and cross-disciplinary data integration for socially relevant data. This initial conceptual model offers a minimum set of foundational structures, relationships, and interactions that can tolerate and balance dynamic social complexity and constant change. It presents the systemic elements which are the drivers for future algorithms and provides the fundamental logic for the algorithms to be developed. We address academics, business managers, policymakers, computer scientists, and sustainability practitioners.
The Conceptual Model for a Stigmergic Information System Network for Social Sustainability synergizes activities across society to alleviate social problems by design. The model offers predictive, corrective, and retrospective analytics with system dynamic feedback loops applied against control module parameters to act as systemic thermostats for social stability, reduce perception bias, and monitor exploitative effects. The distributed architecture considers self-organizing communication micro-processes. It introduces the capacity for increased transparency, data comparability, and social information sharing.
Systemic interaction promises cost efficiency improvements for the assessment of social aspects. This conceptual model resolves the foundational big-picture technical issues associated with dynamic social complexity and continual change.