College of Business & Economics
The Department of e-Business and Technology Management encourages scholarship through a research seminar series that features faculty presentations of recent work to faculty and students within the department and College of Business and Economics.
To learn about future seminars, contact the department office.
U.S. Department of Energy Office of Fossil Energy Quadrennial Technology Review 2015
Oct. 2, 2015
Presented by Rana Rassipour
Fossil fuel resources account for 82% of total U.S. primary energy use because they are abundant, have a relatively low cost of production, and have a high energy density—enabling easy transport and storage. The infrastructure built over decades to supply fossil fuels is the world’s largest enterprise with the largest market capitalization. Of fossil fuels, oil and natural gas make up 63% of energy usage.[i] Across the energy economy, the source and mix of fuels used across these sectors is changing, particularly the rapid increase in natural gas production from unconventional resources for electricity generation and the rapid increase in domestic production of shale oil.
While oil and gas fuels are essential for the United States’ and the global economy, they also pose economic, security and environment challenges. Oil and gas have advantages and disadvantages with respect to these challenges. Since these needs are vital to the national interest, it is essential to demonstrate improvement across all three dimensions and maintain a robust set of options for rapidly changing conditions.
The primary research needs for the oil and gas are related to resource extraction. Current technology is reviewed and key research and development (R&D) opportunities are identified that could help resolve sector challenges with specific technology assessments in these major areas: unconventional oil and gas, Co2- enhanced oil recovery (EOR), offshore oil spill prevention, gas hydrates and transportation infrastructure.
Grounded in systems thinking and coordination theory, this study intends to build a typological framework of coordination in humanitarian supply chain management, disaster relief operations in particular. Following established case study methodologies, we collect archival data on five relief operations - 2010 Haiti Earthquake, 2010 Chile Earthquake, 2008 China Earthquake, 2005 U.S. Katrina and 2004 South Asia Tsunami and conduct a comparative case study. Through identifying coordination problems and assessing coordination mechanisms used accordingly, we build a typological coordination framework for disaster relief operations.
Smart meters present new opportunities that have not been possible with traditional meters. They can facilitate improving energy efficiency by providing near real-time usage information. Motivated by the growing interests on electricity saving programs using smart meters, we conduct laboratory experiments to explore how people react to individual and group monetary/nonmonetary incentives to save electricity. Specifically, we examine the effects of donation on electricity saving.
Assessing and Standardizing Military Unit Readiness
April 4, 2014
Presented by Natalie Scala
One of the most difficult measurements to obtain with some level of accuracy is military readiness to provide defense. The U.S. military has a requirement for units to report an overall readiness rating based on a multitude of factors. This research examines the current readiness reporting method and proposes a new benchmarking system based on desirability functions from quality theory, assessing readiness on quantitative and qualitative scales with aggregation so that a holistic approach is taken.
Modeling Agent Auctions in the Two Dimensions of Price and Quantity
Nov. 1, 2013
Presented by Barin Nag
In agent-based multi-period auction trading, inventory costs and trading penalties affect two dimensional decisions of price and quantity to trade or carry over. Cooperation and collaboration between buyer agents and seller agents respectively facilitate trades. Heuristic algorithms implementing a mathematical model demonstrate the effectiveness in a simulation experiment.