Multivariate multiple regression modelling for technology analysis

Jun, Sunghae, Wood, Jacob, and Park, Sangsung (2018) Multivariate multiple regression modelling for technology analysis. Technology Analysis & Strategic Management, 30 (3). pp. 311-323.

[img] PDF - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1080/09537325.2017.13...
 
1


Abstract

Technology analysis is important for technology management areas such as research and development strategy and new product development. So many studies on technology analysis have been used across a diverse array of fields. Most of these were based on patent analysis, which analyses patent documents using text mining and statistics. The studies on conventional patent analyses constructed models consisting of various independent variables (technologies) and one dependent variable. But in reality, we have to consider a model that includes several dependent variables at the same time, because most technologies influence each other. In this paper, we propose a methodology for patent analysis that reflects the various response technologies simultaneously. We perform multivariate multiple regression modelling in order to efficiently conduct our technology analysis. To show how our modelling can be applied to realistic context, we carry out a case study using the patent documents related to three-dimensional printing technology.

Item ID: 52834
Item Type: Article (Research - C1)
ISSN: 1465-3990
Keywords: multivariate multiple regression, technology analysis, three-dimensional printing, management technology
Date Deposited: 13 Apr 2018 04:17
FoR Codes: 15 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 1503 Business and Management > 150307 Innovation and Technology Management @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970110 Expanding Knowledge in Technology @ 100%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page