AHP-based Technology Start-ups Factors Analysis System

Abstract

It is important to analyze and offer specialized start-ups effect factors for collegians in order to systematically and successfully support technology-centered start-ups of collegians, whose social experience is insufficient. However, consistently changing start ups environmental analysis is difficult, which can be a problem, because technology-centered start-ups factor analysis is carried out depending on statistical package. This paper proposes an ATSA system that demonstrates effect factors on technology-centered start-ups decision making as a hierarchial structure by using AHP, inputs the effect factors to judgment matrix after pre-processing, calculates standardized values and weights, verifies consistency, and draws priorities through weights integration. It was confirmed that the ATSA system can efficiently support decision making for technology-centered start-ups by quantitatively analyzing qualitative factors through experiments by applying multi-criteria decision making to the analyses of start-ups founders' internal and external factors and various start-ups environments.

WITHDRAWN: A Study on the Government's Investment Priorities for Building a Supercomputer Joint Utilization System

“…Rhim (1999) evaluated the government's R&D investment by using the integrated DEA/AHP model. This model maintains the objectivity of the importance of evaluation criteria when there are multiple evaluation criteria and solves the discriminative power problem of the DEA model that occurs when only a limited number of projects must be selected due to budget constraints [5]. Jung (2021) performed an AHP analysis to prioritize the government's policy promotion tasks related to virtual and augmented reality industries.…”