Issues Inside the Field of Economics of Innovation: Definitions, Data Sources, Estimation Procedures and Comparability of Results
Innovation economics requires an interdisciplinary approach and at least knowledge in economics and history. A historiographical approach to data representativeness is necessary to perform literature review without producing errors when comparing studies with datasets lacking small companies. Knowle...
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| Format: | Article |
| Language: | English |
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Institute of Technology and Business, České Budějovice
2017-01-01
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| Series: | Littera Scripta |
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| Online Access: | http://www.littera-scripta.com/issues-inside-the-field-of-economics-of-innovation-definitions-data-sources-estimation-procedures-and-comparability-of-results/ |
| _version_ | 1818824272374661120 |
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| author | Marek Vokoun |
| author_facet | Marek Vokoun |
| author_sort | Marek Vokoun |
| collection | DOAJ |
| description | Innovation economics requires an interdisciplinary approach and at least knowledge in economics and history. A historiographical approach to data representativeness is necessary to perform literature review without producing errors when comparing studies with datasets lacking small companies. Knowledge in econometrics is necessary to assess the possibility to compare results from two innovation papers. An identification strategy is necessary for comprehension because the definitions of innovators are most of the time rather incomparable. Some papers recognize only successful innovators in terms of delivering the product new to the market. In other papers, innovators are companies, which imitated their competitors or trained staff recently. These issues are dependent on the understanding of the definition of the term innovation. Comparison of innovation economics research results or using them in an argument is not possible without complex understanding of data (representativeness), methods (set of control variables) and other limits of dependent variables. |
| first_indexed | 2024-12-18T23:53:14Z |
| format | Article |
| id | doaj.art-b140deb43b374fc18f927d7228ccdc9b |
| institution | Directory Open Access Journal |
| issn | 1805-9112 |
| language | English |
| last_indexed | 2024-12-18T23:53:14Z |
| publishDate | 2017-01-01 |
| publisher | Institute of Technology and Business, České Budějovice |
| record_format | Article |
| series | Littera Scripta |
| spelling | doaj.art-b140deb43b374fc18f927d7228ccdc9b2022-12-21T20:46:49ZengInstitute of Technology and Business, České BudějoviceLittera Scripta1805-91122017-01-012165179Issues Inside the Field of Economics of Innovation: Definitions, Data Sources, Estimation Procedures and Comparability of ResultsMarek Vokoun0Institute of Technology and Business in České BudějoviceInnovation economics requires an interdisciplinary approach and at least knowledge in economics and history. A historiographical approach to data representativeness is necessary to perform literature review without producing errors when comparing studies with datasets lacking small companies. Knowledge in econometrics is necessary to assess the possibility to compare results from two innovation papers. An identification strategy is necessary for comprehension because the definitions of innovators are most of the time rather incomparable. Some papers recognize only successful innovators in terms of delivering the product new to the market. In other papers, innovators are companies, which imitated their competitors or trained staff recently. These issues are dependent on the understanding of the definition of the term innovation. Comparison of innovation economics research results or using them in an argument is not possible without complex understanding of data (representativeness), methods (set of control variables) and other limits of dependent variables.http://www.littera-scripta.com/issues-inside-the-field-of-economics-of-innovation-definitions-data-sources-estimation-procedures-and-comparability-of-results/Innovation economics identification strategy innovation innovation activities |
| spellingShingle | Marek Vokoun Issues Inside the Field of Economics of Innovation: Definitions, Data Sources, Estimation Procedures and Comparability of Results Littera Scripta Innovation economics identification strategy innovation innovation activities |
| title | Issues Inside the Field of Economics of Innovation: Definitions, Data Sources, Estimation Procedures and Comparability of Results |
| title_full | Issues Inside the Field of Economics of Innovation: Definitions, Data Sources, Estimation Procedures and Comparability of Results |
| title_fullStr | Issues Inside the Field of Economics of Innovation: Definitions, Data Sources, Estimation Procedures and Comparability of Results |
| title_full_unstemmed | Issues Inside the Field of Economics of Innovation: Definitions, Data Sources, Estimation Procedures and Comparability of Results |
| title_short | Issues Inside the Field of Economics of Innovation: Definitions, Data Sources, Estimation Procedures and Comparability of Results |
| title_sort | issues inside the field of economics of innovation definitions data sources estimation procedures and comparability of results |
| topic | Innovation economics identification strategy innovation innovation activities |
| url | http://www.littera-scripta.com/issues-inside-the-field-of-economics-of-innovation-definitions-data-sources-estimation-procedures-and-comparability-of-results/ |
| work_keys_str_mv | AT marekvokoun issuesinsidethefieldofeconomicsofinnovationdefinitionsdatasourcesestimationproceduresandcomparabilityofresults |