Doctorate and Research

I am conducting research in the field of human and AI collaboration as part of my Doctorate of Business Administration (DBA) at the Swiss University of Business Innovation and Sustainability (UBIS University) Geneva with headquarter in Washington DC, US.

Impact of generative AI on productivity of knowledge-workers in technology companies

The advent of Artificial Intelligence (AI) technologies, such as generative AI like ChatGPT, has generated a significant interest in the ways in which they can transform the economy and society. While some experts predict that AI will lead to massive job displacement, others argue that it will create new opportunities and augment human productivity. However, research suggests that the highly anticipated impact of AI on productivity may be neglectable, despite the significant increase in related patents filed and articles published. This research aims to investigate the impact of generative AI using large language models (LLM) on the real-world labor productivity of knowledge-workers in high technology intensive companies. The main objective of this research is to identify what level of augmentation through generative AI will practically increase tangible value outcomes, such as real-world labor productivity. Additional research questions will investigate intangible value factors such as the satisfaction of the employees under investigation and leadership strategies to make the adoption successful.

Expected Results & Implications

The expected outcome of this work can be divided into the following aspects:

  1. A universal framework and system for human-AI full collaboration: to increase productivity, Sowa et al. (2021). The scope of the framework shall address complex problem-solving, critical thinking, creativity, people management, coordinating with others, emotional intelligence, judgement, and decision making, service orientation, negotiation, and cognitive flexibility, Loureiro et al. (2020).
  2. A best practice leadership and agile mindset framework: to operate new working models required to implement organizational and societal change to adopt fronter digital technologies.
  3. A human-centric approach, leading to a net-positive outcome for future jobs and society, as the human should be in the lead, utilizing AI as an augmentation to their role, Di Vaio (2020).