Decision-Making for Emerging Technologies

Our objective is to build robust theoretical and practical frameworks that clarify how decisions about implementing emerging technologies (ET) in industry develop and the conditions needed for optimal results. We aim to empower managers to navigate the uncertainties that come with introducing innovations and driving organizational transformation. Through this research, we seek to improve decision-making processes, equipping leaders to make informed, strategic choices in adopting ET that support sustainable industry evolution.

1. Deciding about emergent technologies

 

Taking decisions about emerging technologies can be enhanced by decision-support tools such as scenario planning, roadmapping, and portfolio matrices, while Technology Intelligence systems keep organizations updated on emerging tech trends. Nevertheless, decision-makers face cognitive challenges from the complexity and uncertainty of these decisions. 

 

How do digital tools like Augmented and Virtual Reality (AR-VR) and Artificial Intelligence (AI) help reduce the cognitive load and uncertainty associated with strategic technology adoption? 

  • How do managers interact with AI-tools? (Constanze Leeb) - This project is part of the EINST4INE consortium and receives funding from the EU Marie Sklodowska-Curie Innovative Training Networks (ITN) scheme.
  • How does VR affect cognitive processes in Strategic Technology planning? - (Nicola Felicini) This project is part of the EINST4INE consortium and receives funding from the EU Marie Sklodowska-Curie Innovative Training Networks (ITN) scheme and industry.
  • How does consensus on emergent technology unfold? (Pete Jha) - This project receives funding from RADMA
  • How do digital visual tools affect the integration of multiple perspectives in technology management decisions? (Bethan Moncur) - This project is part of the AgriFoRwArdS CDT and receives funding from the EPSRC and industry

 

2. Decisions in emerging technologies

 

At DM-ET, projects examine historical corporate decisions on implementing new technologies to identify the conditions, strategies, and configurations that led to optimal outcomes. For example, the team has conducted extensive research on how companies employ open innovation to acquire emerging technologies. Current projects include

  • How does the entrepreneurial innovation process unfold in makerspaces? (Dr Valeria Dammicco). This project has been supported by CDT EPSRC and RADMA
  • Modeling the value of IoT for mass customization – This project received support from Pitch-In 
  • How do companies gain value from AI? (Pradeep Debata) - This project is supported by CDT EPSRC