Large Patent Portfolio Optimization: Master's thesis

Heli Orelma

Research output: ThesisMaster's thesisTheses

Abstract

This master's thesis studies the systematic management and optimization of large patent portfolio. The objective is to explore the main characteristics of large patent portfolio management and to create systematical logic for the selection and management processes. The created logic will also be tested in a practical case. The study is constructive and it is conducted as an action research. It combines both qualitative and quantitative data. The main emphasis of the research is the computational management of patents as a portfolio. The questions concerned are business decision making choices and the study doesn't cover questions like the exact valuation of a single patent or patent portfolio. The studied industry assumed to be the electronic and telecommunication industry. First, the study explores the management of patents as a whole. Subsequently, different mathematical and computational methods are explored to understand, what kind of model and algorithm is needed. A model for managing patents computationally is presented as well as an algorithm for defining which patents should be studied for the decision of discarding them. The procedures also help to evaluate, which parts of the portfolio need additional investments. Finally, the study and assumptions beneath are discussed. The study contributed to the existing knowledge by studying the factors affecting decisions about large patent portfolios and presented a model for the discarding process. It helps the managerial practices by listing the possible patents that could be further studied for discarding decisions. Additionally, it can help to justify the decisions of adding, keeping and discarding patents.
Original languageEnglish
QualificationMaster Degree
Awarding Institution
  • Helsinki University of Technology
Place of PublicationEspoo
Publisher
Publication statusPublished - 2007
MoE publication typeG2 Master's thesis, polytechnic Master's thesis

Fingerprint

Portfolio optimization
Patent portfolio
Patents
Logic
Selection process
Electronics industry
Industry
Computational methods
Factors
Portfolio management
Managerial practices
Telecommunications industry
Decision making
Management process

Keywords

  • patent portfolio
  • patent management
  • portfolio optimization

Cite this

Orelma, H. (2007). Large Patent Portfolio Optimization: Master's thesis. Espoo: Helsinki University of Technology.
Orelma, Heli. / Large Patent Portfolio Optimization : Master's thesis. Espoo : Helsinki University of Technology, 2007. 98 p.
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abstract = "This master's thesis studies the systematic management and optimization of large patent portfolio. The objective is to explore the main characteristics of large patent portfolio management and to create systematical logic for the selection and management processes. The created logic will also be tested in a practical case. The study is constructive and it is conducted as an action research. It combines both qualitative and quantitative data. The main emphasis of the research is the computational management of patents as a portfolio. The questions concerned are business decision making choices and the study doesn't cover questions like the exact valuation of a single patent or patent portfolio. The studied industry assumed to be the electronic and telecommunication industry. First, the study explores the management of patents as a whole. Subsequently, different mathematical and computational methods are explored to understand, what kind of model and algorithm is needed. A model for managing patents computationally is presented as well as an algorithm for defining which patents should be studied for the decision of discarding them. The procedures also help to evaluate, which parts of the portfolio need additional investments. Finally, the study and assumptions beneath are discussed. The study contributed to the existing knowledge by studying the factors affecting decisions about large patent portfolios and presented a model for the discarding process. It helps the managerial practices by listing the possible patents that could be further studied for discarding decisions. Additionally, it can help to justify the decisions of adding, keeping and discarding patents.",
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author = "Heli Orelma",
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year = "2007",
language = "English",
publisher = "Helsinki University of Technology",
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school = "Helsinki University of Technology",

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Orelma, H 2007, 'Large Patent Portfolio Optimization: Master's thesis', Master Degree, Helsinki University of Technology, Espoo.

Large Patent Portfolio Optimization : Master's thesis. / Orelma, Heli.

Espoo : Helsinki University of Technology, 2007. 98 p.

Research output: ThesisMaster's thesisTheses

TY - THES

T1 - Large Patent Portfolio Optimization

T2 - Master's thesis

AU - Orelma, Heli

N1 - TK308 diplomityö 96 p. + app. 2 p.

PY - 2007

Y1 - 2007

N2 - This master's thesis studies the systematic management and optimization of large patent portfolio. The objective is to explore the main characteristics of large patent portfolio management and to create systematical logic for the selection and management processes. The created logic will also be tested in a practical case. The study is constructive and it is conducted as an action research. It combines both qualitative and quantitative data. The main emphasis of the research is the computational management of patents as a portfolio. The questions concerned are business decision making choices and the study doesn't cover questions like the exact valuation of a single patent or patent portfolio. The studied industry assumed to be the electronic and telecommunication industry. First, the study explores the management of patents as a whole. Subsequently, different mathematical and computational methods are explored to understand, what kind of model and algorithm is needed. A model for managing patents computationally is presented as well as an algorithm for defining which patents should be studied for the decision of discarding them. The procedures also help to evaluate, which parts of the portfolio need additional investments. Finally, the study and assumptions beneath are discussed. The study contributed to the existing knowledge by studying the factors affecting decisions about large patent portfolios and presented a model for the discarding process. It helps the managerial practices by listing the possible patents that could be further studied for discarding decisions. Additionally, it can help to justify the decisions of adding, keeping and discarding patents.

AB - This master's thesis studies the systematic management and optimization of large patent portfolio. The objective is to explore the main characteristics of large patent portfolio management and to create systematical logic for the selection and management processes. The created logic will also be tested in a practical case. The study is constructive and it is conducted as an action research. It combines both qualitative and quantitative data. The main emphasis of the research is the computational management of patents as a portfolio. The questions concerned are business decision making choices and the study doesn't cover questions like the exact valuation of a single patent or patent portfolio. The studied industry assumed to be the electronic and telecommunication industry. First, the study explores the management of patents as a whole. Subsequently, different mathematical and computational methods are explored to understand, what kind of model and algorithm is needed. A model for managing patents computationally is presented as well as an algorithm for defining which patents should be studied for the decision of discarding them. The procedures also help to evaluate, which parts of the portfolio need additional investments. Finally, the study and assumptions beneath are discussed. The study contributed to the existing knowledge by studying the factors affecting decisions about large patent portfolios and presented a model for the discarding process. It helps the managerial practices by listing the possible patents that could be further studied for discarding decisions. Additionally, it can help to justify the decisions of adding, keeping and discarding patents.

KW - patent portfolio

KW - patent management

KW - portfolio optimization

M3 - Master's thesis

PB - Helsinki University of Technology

CY - Espoo

ER -

Orelma H. Large Patent Portfolio Optimization: Master's thesis. Espoo: Helsinki University of Technology, 2007. 98 p.