Technological forecasting (TF) has significantly benefited from data analytics over the past
decades. However, little effort has been made to present an overview of data analytics in TF …

This article assesses the level of maturity of current biomass power generation technologies,
by using metrics of technology readiness levels. A questionnaire was developed and sent to …

Unstructured data in the form of digitized text is rapidly increasing in volume, accessibility,
and relevance for research on innovation and beyond. While traditional attempts to analyze …

The present research explores how the young people maximize their potential in learning
based on their generation. The Generation Z is considered as the generation that is still in …

The technology readiness level (TRL) scale was developed at the National Aeronautics and
Space Administration (NASA) in the 1970s as a standardized technology maturity …

While the volume of data from heterogeneous sources grows considerably, foresight and its
methods rarely benefit from such available data. This work concentrates on textual data and …

Understanding current technological changes is the basis for better forecasting of
technological changes. Because technology is path dependent, monitoring past and current …

Technology life cycle analysis plays a crucial role in setting up investment-related strategies.
The dominant approach to technology life cycle analysis utilizes curve fitting techniques to …

The perception of emerging technologies such as Robotic Process Automation (RPA) goes
through the phases of emergence, growth, and maturity. In the emergence phase, potential …

Technology forecasting (TF) is an important way to address technological innovation in fast-
changing market environments and enhance the competitiveness of organizations in …