Title :
A case study: Using hierarchical decision model voting in theoretical market share investigation
Author_Institution :
Eng. & Technol. Manage. Dept., Portland State Univ., Portland, OR, USA
fDate :
July 29 2012-Aug. 2 2012
Abstract :
Traditional HDM (hierarchical decision model) methods use mainly the mean values to aggregate the opinions of the experts and get the rankings of candidates as the decision result. The HDMV (hierarchical decision model voting) method uses voting method with the hierarchical decision models to facilitate the voters making decisions and get the voter´s proportion as the result. In the fierce competition business environment, the competitors want to know the customers´ selection of a certain kind of production. Different persons have their own choices. These decisions result in the theoretical market share of the products or services. If the companies/organizations want to improve the market share, the investigation can be conducted by the way of HDMV. This research uses HDMV to evaluate the theoretical market share of 3 distance education schools in Beijing. We build a hierarchical decision model with 4 criteria and 3 candidate options for the students to select from. The data is collected from the 40 students in Beijing. The results show the proportions of the students that will select different distance education schools. We will also analyze the policies for the distance education schools by the analysis of the results and data.
Keywords :
competitive intelligence; decision making; distance learning; educational institutions; organisational aspects; Beijing; HDMV; companies; competition business environment; distance education schools; hierarchical decision model voting; organizations; theoretical market share; theoretical market share investigation; Aggregates; Companies; Educational institutions; Production; Technology management; Telecommunications;
Conference_Titel :
Technology Management for Emerging Technologies (PICMET), 2012 Proceedings of PICMET '12:
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-2853-1