Logo Logo

Illinois Superconductor: Forecasting Demand For Superconducting Filters

Abstract

Illinois Superconductor Corporation was a technology startup that came up with an innovative new superconducting filter for use in cellular base stations. It needed to estimate the demand for its filters. The manager came up with a simple chain-ratio-based forecasting model that, while simple and intuitive, was too simplistic. The company had also commissioned a research firm to develop a model-based forecast. The model-based forecast used diffusion modeling, analogy-based forecasting and conjoint analysis to create a forecast that incorporated customer preferences, diffusion effects, and competitive dynamics. Students are asked to use the data to generate a model-based forecast, and to reconcile the model-based forecast with the manager's forecast. The case requires sophisticated spreadsheet modeling, and the application of advanced forecasting techniques.

Type

Case

Author(s)

Mohanbir Sawhney, Lisa Damkroger, Greg McGuirk, Julie Milbratz, John Rountree

Date Published

Citations

Sawhney, Mohanbir, Lisa Damkroger, Greg McGuirk, Julie Milbratz, and John Rountree. Illinois Superconductor: Forecasting Demand For Superconducting Filters. Case 5-104-033 (KEL096).

KELLOGG INSIGHT

Explore leading research and ideas

Find articles, podcast episodes, and videos that spark ideas in lifelong learners, and inspire those looking to advance in their careers.
learn more

COURSE CATALOG

Review Courses & Schedules

Access information about specific courses and their schedules by viewing the interactive course scheduler tool.
LEARN MORE

DEGREE PROGRAMS

Discover the path to your goals

Whether you choose our Full-Time, Part-Time or Executive MBA program, you’ll enjoy the same unparalleled education, exceptional faculty and distinctive culture.
learn more