A New Methodology for Citation Dependent Patent Evaluations

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Creator: 

Smith, Derek Kent William

Date: 

2014

Abstract: 

Patent evaluation methodologies reveal hidden information that enables business decisions. Many of these methodologies may be grouped into a prior art citation dependent category.

The problem with this category is citation noise. Citation noise obscures an evaluation leading to very limited and erroneous results. Citation noise is also a gap not well understood by scholars.

The empirical multi-case explanatory approach of this research examined 719 citations and found 87% of the citations were noise and 13% had interdependence with a patent. This research further found that
interdependency between a citation and patent eliminates citation noise and identifies pertinent and dominant citations.

The theoretical implications are a new understanding of citation noise and dependence, a novel interdependency framework and noise pertinence and dominant citation constructs.

The practice implications are a novel unencumbered patent evaluation methodology where pertinent and dominant citations provide useful, meaningful evaluations and enable better stakeholder decision-making capabilities.

Subject: 

Business Administration - Management
Law
Engineering - Electronics and Electrical

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Applied Science: 
M.App.Sc.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Engineering , Technology Innovation Management

Parent Collection: 

Theses and Dissertations

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