Abstract:Ã‚Â The recent proliferation of electronic products has led to aÃ‚Â strong unmet need for understanding environmental implicationsÃ‚Â of new technologies. According to Nielsen, 66%Ã‚Â of AmericansÃ‚Â ages 24-35 own a smartphone, providing strong evidence thatÃ‚Â this technology can be considered ubiquitous. However, a majorityÃ‚Â of users and service providers are not sensitive to energyÃ‚Â implications of data usage. As parameters affecting data deliveryÃ‚Â and usage are primarily driven by user behavior, this studyÃ‚Â is focused on using empirical data to investigate its correspondenceÃ‚Â to energy footprint. A large cohort of smartphone usersÃ‚Â (n = 21,853) and the means for which data is accessed, i.e. viaÃ‚Â 3G/LTE or WiFi, is examined to develop a model for estimatingÃ‚Â the energy cost of the various modes of data usage. Finally,Ã‚Â alternate business scenarios are developed through simulatingÃ‚Â behavior change in cohorts based on existing data and then assessedÃ‚Â with regards to economic and environmental efficiencies.