Document Type
Closed Project
Publication Date
Winter 2009
Instructor
Tugrul Daim
Course Title
Technology Forecasting
Course Number
ETM 532/632
Abstract
The primary objective of this paper is to develop a forecast for mobile WiMAX as an emerging technology using Scenario Planning and Bass Model methodologies. To understand why these methods were applied in assessing a forecast for the adoption of WiMAX, the paper will discuss the technology’s evolution, functionality, and market competition. Literature review on the methodology and applications of forecasting in the mobile communications industry will be considered to help provide examples of technology forecasting estimations. The results obtained for each scenario will then be compared and analyzed to the behavior of WiMAX’s subscribers in both the United States and Korea. The paper intends to discuss the differences in the United States and Korea models. Significant consumer interest variations, price, and population patterns are presented. The key to forecasting WiMAX’s adoption technology rates is to understand the difference in consumer reactions that exists within countries. The analysis will conclude that WiMAX will diffuse in Korea at a faster rate due to high response from imitators. With big market potential and a clear vision of subscriber needs, the next major evolution is expected to occur in the area of personal broadband services. The WIMAX standard promises to deliver high speed, cost-effective and high quality services with long distance broad coverage.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/22894
Citation Details
Alanazi, Hamad; Jarpa, Nathaniel; Patino, Sabrina; and Yoon, Youngkoo, "Forecasting WIMAX: Integrating Scenario Planning and Bass Model Methodologies" (2009). Engineering and Technology Management Student Projects. 843.
http://archives.pdx.edu/ds/psu/22894
Comments
This project is only available to students, faculty, and staff of Portland State University.