The influence on corporate entrepreneurship of technological variables.
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| Title: | The influence on corporate entrepreneurship of technological variables. |
|---|---|
| Authors: | Martín-Rojas, Rodrigo, García-Morales, Víctor J., García-Sánchez, Encarnación |
| Source: | Industrial Management & Data Systems. 2011, Vol. 111 Issue 7, p984-1005. 22p. |
| Subjects: | Organizational learning, Organizational performance, Entrepreneurship, Database management, Learning, Knowledge management, Personal managers |
| Geographic Terms: | Spain |
| Abstract: | Purpose – The aim of this paper is to highlight the importance of different technological aspects of organizations on Spanish high-technology firms' performance. Design/methodology/approach – The relationships studied are confirmed empirically using a structural equation model to demonstrate our hypotheses. The sample was selected from the database "Dun & Bradstreet España" in the year 2005 and includes 201 Spanish firms. CEOs were our main informants. Findings – The results obtained show that support from top managers will directly influence the organizational learning (OL) process and technological distinctive competencies (TDCs) (antecedents of corporate entrepreneurship) and that corporate entrepreneurship finally influences organizational performance. Research limitations/implications – The paper is exploratory in character, and its goal is to show whether interrelations exist between the variables. The main limitations are: the sectors chosen refer only to Spain; the analysis is cross-sectional in character; the study uses a single method and self-reports (CEOs). Practical implications – To obtain perfect adaptation of the firm to its environment, it is crucial that managers develop corporate entrepreneurship to improve high-technology sector firms' performance. The paper shows the important role of the top manager's support in developing TDCs and OL. Success in such issues is of vital importance to corporate entrepreneurship in the firm. Originality/value – The paper seeks to stimulate new lines of research on one variable (TDCs) and to relate it to other constructs, producing new relationships and observing their repercussions for the firm. [ABSTRACT FROM AUTHOR] |
| Copyright of Industrial Management & Data Systems is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 67671058 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The influence on corporate entrepreneurship of technological variables. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Martín-Rojas%2C+Rodrigo%22">Martín-Rojas, Rodrigo</searchLink><br /><searchLink fieldCode="AR" term="%22García-Morales%2C+Víctor+J%2E%22">García-Morales, Víctor J.</searchLink><br /><searchLink fieldCode="AR" term="%22García-Sánchez%2C+Encarnación%22">García-Sánchez, Encarnación</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Industrial+Management+%26+Data+Systems%22">Industrial Management & Data Systems</searchLink>. 2011, Vol. 111 Issue 7, p984-1005. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Organizational+learning%22">Organizational learning</searchLink><br /><searchLink fieldCode="DE" term="%22Organizational+performance%22">Organizational performance</searchLink><br /><searchLink fieldCode="DE" term="%22Entrepreneurship%22">Entrepreneurship</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+managers%22">Personal managers</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Spain%22">Spain</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose – The aim of this paper is to highlight the importance of different technological aspects of organizations on Spanish high-technology firms' performance. Design/methodology/approach – The relationships studied are confirmed empirically using a structural equation model to demonstrate our hypotheses. The sample was selected from the database "Dun & Bradstreet España" in the year 2005 and includes 201 Spanish firms. CEOs were our main informants. Findings – The results obtained show that support from top managers will directly influence the organizational learning (OL) process and technological distinctive competencies (TDCs) (antecedents of corporate entrepreneurship) and that corporate entrepreneurship finally influences organizational performance. Research limitations/implications – The paper is exploratory in character, and its goal is to show whether interrelations exist between the variables. The main limitations are: the sectors chosen refer only to Spain; the analysis is cross-sectional in character; the study uses a single method and self-reports (CEOs). Practical implications – To obtain perfect adaptation of the firm to its environment, it is crucial that managers develop corporate entrepreneurship to improve high-technology sector firms' performance. The paper shows the important role of the top manager's support in developing TDCs and OL. Success in such issues is of vital importance to corporate entrepreneurship in the firm. Originality/value – The paper seeks to stimulate new lines of research on one variable (TDCs) and to relate it to other constructs, producing new relationships and observing their repercussions for the firm. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Industrial Management & Data Systems is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1108/02635571111161253 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 984 Subjects: – SubjectFull: Organizational learning Type: general – SubjectFull: Organizational performance Type: general – SubjectFull: Entrepreneurship Type: general – SubjectFull: Database management Type: general – SubjectFull: Learning Type: general – SubjectFull: Knowledge management Type: general – SubjectFull: Personal managers Type: general – SubjectFull: Spain Type: general Titles: – TitleFull: The influence on corporate entrepreneurship of technological variables. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Martín-Rojas, Rodrigo – PersonEntity: Name: NameFull: García-Morales, Víctor J. – PersonEntity: Name: NameFull: García-Sánchez, Encarnación IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 02635577 Numbering: – Type: volume Value: 111 – Type: issue Value: 7 Titles: – TitleFull: Industrial Management & Data Systems Type: main |
| ResultId | 1 |