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Innovative Activity's Relationship to Financial Competitive Advantage during Recession and Stagnation : = A Quantile Regression Econometric Quantitative Study.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Innovative Activity's Relationship to Financial Competitive Advantage during Recession and Stagnation :/
Reminder of title:	A Quantile Regression Econometric Quantitative Study.
Author:	Baldwin, Donald.
Description:	1 online resource (206 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
Contained By:	Dissertation Abstracts International78-10A(E).
Subject:	Business administration. -
Online resource:	click for full text (PQDT)
ISBN:	9781369826890

Innovative Activity's Relationship to Financial Competitive Advantage during Recession and Stagnation : = A Quantile Regression Econometric Quantitative Study.
Baldwin, Donald.

Innovative Activity's Relationship to Financial Competitive Advantage during Recession and Stagnation :A Quantile Regression Econometric Quantitative Study. - 1 online resource (206 pages)

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.

Thesis (D.B.A.)--Northcentral University, 2017.

Includes bibliographical references

Prior to the changed economic conditions brought about by the Great Recession in 2007-2009, the business cycle had a regular rhythm of recession, recovery, and expansion. Barlevy, in an incremental improvement to Schumpeter's theory of innovation, advised firms to invest heavily in innovation during recession to be ready with new product introductions once conditions improved. A poor understanding of the relationship between innovative activity and financial competitive advantage during recession and stagnation potentially resulted in business leaders and national leaders making incorrect decisions. A lack of empirical study into the relationship between innovative activity and competitive advantage during recession and stagnation existed because of the rarity of these economic conditions. This quantile regression econometric quantitative study tested Schumpeter's theory of innovation as incrementally advanced by Barlevy under the changed, potentially confounding, conditions since 2008. The population was companies who have at least one patent between 2005 and 2013 proving they have an effective Research and Development (R&D) program. The sample was the set of companies from the population who are publicly traded on a stock exchange in the U.S. The Securities and Exchange Commission EDGAR database provided detailed, audited information on each company in the study and the United States Patent Trade Office provided company patent information. Innovative activity was measured as R&D investment intensity or patent intensity. Financial competitive advantage was measured by profit or sales growth. Profit growth had no relationship to innovative activity as measured in R&D or patent intensity during recession or stagnation. Sales Growth had varying degrees of relationship to innovative activity as measured in R&D or patent intensity. The strongest relationship occurred between patent intensity and sales growth during stagnation with the quantile regression varying significantly from the Ordinary Least Squares (OLS) regression at the .32 quantile. Conclusions include companies should invest in innovation during any economic conditions and investing in innovation counter-cyclically benefits companies greatly. Future research could examine companies in other nations, explore case study method, study different variables, and explore ways to give companies immediate knowledge of their innovation programs' effectiveness.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369826890Subjects--Topical Terms:

1148568
Business administration.
Index Terms--Genre/Form:

554714
Electronic books.

Innovative Activity's Relationship to Financial Competitive Advantage during Recession and Stagnation : = A Quantile Regression Econometric Quantitative Study.
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500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
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504 $a Includes bibliographical references
520 $a Prior to the changed economic conditions brought about by the Great Recession in 2007-2009, the business cycle had a regular rhythm of recession, recovery, and expansion. Barlevy, in an incremental improvement to Schumpeter's theory of innovation, advised firms to invest heavily in innovation during recession to be ready with new product introductions once conditions improved. A poor understanding of the relationship between innovative activity and financial competitive advantage during recession and stagnation potentially resulted in business leaders and national leaders making incorrect decisions. A lack of empirical study into the relationship between innovative activity and competitive advantage during recession and stagnation existed because of the rarity of these economic conditions. This quantile regression econometric quantitative study tested Schumpeter's theory of innovation as incrementally advanced by Barlevy under the changed, potentially confounding, conditions since 2008. The population was companies who have at least one patent between 2005 and 2013 proving they have an effective Research and Development (R&D) program. The sample was the set of companies from the population who are publicly traded on a stock exchange in the U.S. The Securities and Exchange Commission EDGAR database provided detailed, audited information on each company in the study and the United States Patent Trade Office provided company patent information. Innovative activity was measured as R&D investment intensity or patent intensity. Financial competitive advantage was measured by profit or sales growth. Profit growth had no relationship to innovative activity as measured in R&D or patent intensity during recession or stagnation. Sales Growth had varying degrees of relationship to innovative activity as measured in R&D or patent intensity. The strongest relationship occurred between patent intensity and sales growth during stagnation with the quantile regression varying significantly from the Ordinary Least Squares (OLS) regression at the .32 quantile. Conclusions include companies should invest in innovation during any economic conditions and investing in innovation counter-cyclically benefits companies greatly. Future research could examine companies in other nations, explore case study method, study different variables, and explore ways to give companies immediate knowledge of their innovation programs' effectiveness.
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