國立虎尾科技大學 |

Innovation and financial performance : = A study of the effects of patent data from emerging cluster analysis.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Innovation and financial performance :/
其他題名:	A study of the effects of patent data from emerging cluster analysis.
作者:	Lepore, Lisa D.
面頁冊數:	1 online resource (157 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.
Contained By:	Dissertation Abstracts International78-06A(E).
標題:	Business administration. -
電子資源:	click for full text (PQDT)
ISBN:	9781369416817

Innovation and financial performance : = A study of the effects of patent data from emerging cluster analysis.
Lepore, Lisa D.

Innovation and financial performance :A study of the effects of patent data from emerging cluster analysis. - 1 online resource (157 pages)

Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.

Thesis (D.B.A.)

Includes bibliographical references

The rationale for this study was to understand how innovation, measured via cluster and patent data from emerging cluster analysis, correlates to the financial performance of the patenting company. Many researchers have studied the relationship between innovation, patents, and company financial performance, but none relied on emerging cluster analysis of patent data. The specific patent data under study, gleaned from emerging cluster methodology, might indicate the presence of potentially disruptive technology. Schumpeter originally framed the theories surrounding innovation and their incumbent economic value and this paper pondered the extent to which the emerging cluster patents and cluster data correlated to companies with a market capitalization of at least $1 billion. The companies were further divided into those with market capitalizations greater than $1 billion but less than or equal to $29.9 billion and those with market capitalizations greater than $30 billion. Various statistical methods were used to analyze the relationship between the cluster and patent data and the patenting companies' financial performance data, including regression analysis. There were statistically significant correlations found between clusters and patents as predictor variables and the financial performance metrics as criterion variables of the patenting companies. There were additional statistically significant correlations for the group of companies with the larger market capitalization, those above $30 billion, than those with the smaller market capitalization. Future research recommendations are provided in the conclusions of this study.

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

Mode of access: World Wide Web

ISBN: 9781369416817Subjects--Topical Terms:

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

554714
Electronic books.

Innovation and financial performance : = A study of the effects of patent data from emerging cluster analysis.
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504 $a Includes bibliographical references
520 $a The rationale for this study was to understand how innovation, measured via cluster and patent data from emerging cluster analysis, correlates to the financial performance of the patenting company. Many researchers have studied the relationship between innovation, patents, and company financial performance, but none relied on emerging cluster analysis of patent data. The specific patent data under study, gleaned from emerging cluster methodology, might indicate the presence of potentially disruptive technology. Schumpeter originally framed the theories surrounding innovation and their incumbent economic value and this paper pondered the extent to which the emerging cluster patents and cluster data correlated to companies with a market capitalization of at least $1 billion. The companies were further divided into those with market capitalizations greater than $1 billion but less than or equal to $29.9 billion and those with market capitalizations greater than $30 billion. Various statistical methods were used to analyze the relationship between the cluster and patent data and the patenting companies' financial performance data, including regression analysis. There were statistically significant correlations found between clusters and patents as predictor variables and the financial performance metrics as criterion variables of the patenting companies. There were additional statistically significant correlations for the group of companies with the larger market capitalization, those above $30 billion, than those with the smaller market capitalization. Future research recommendations are provided in the conclusions of this study.
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