Suzanna Long

TL;DR: In this paper, the authors identify potential socio-technical barriers to consumer adoption of EVs and determine if sustainability issues influence consumer decision to purchase an EV, and provide valuable insights into preferences and perceptions of technology enthusiasts; individuals highly connected to technology development and better equipped to sort out the many differences between EVs and CVs.

TL;DR: In this paper, an analysis of factors that influence electric vehicle adoption by modeling the conditions under which an individual, particularly one with an engineering or technical background, is more or less likely to adopt an electric vehicle is presented.

TL;DR: A combination of high fuel costs, concerns about petroleum availability, and air quality issues related to fossil fuel-based vehicles are driving interests in electric vehicles (EVs). In as mentioned in this paper, the authors present their analysis of the potential of electric vehicles.

TL;DR: The deep learning model was found to be more accurate than the physical and statistical models currently in use while providing information in 15 minute increments rather than six hour increments and the use of data sub-selection for regularization in deep learning is preferred to dropout.

TL;DR: In this paper, the authors explore the dynamics of change management and organizational effectiveness in a government agency with oversight authority in implementing a major technology initiative and explore the application of theory in practice.