Creativity, innovation effectiveness and productive efficiency in the UK
Datos Bibliográficos
| ID | 23178322 |
|---|---|
| Autores | Nebojša Stojčić (0000-0001-6638-8771, University of Dubrovnik), Iraj Hashi (0000-0002-0084-8605, University of Staffordshire), Edvard Orlić (0000-0003-3657-9301, Bournemouth University) |
| Año | 2018 |
| Volumen | 21 |
| Número | 4 |
| Páginas | 564-580 |
| Fecha de publicación | 2018-08-03 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | European Journal of Innovation Management (JOURNAL) |
| Identificadores de la revista | ISSN: 1460-1060 • E-ISSN: 1758-7115 |
| Editorial | Emerald (PUBLISHER) |
| DOI | 10.1108/ejim-11-2017-0166 |
| OpenAlex | W2799567224 |
| Idioma | EN |
| Citas recibidas | 12 |
| Referencias citadas | 40 |
Purpose Creativity is often referred to as a seedbed of innovation. As such it holds the key to better performance and the competitiveness of firms. To better understand how creativity influences birth and commercialization of innovations and productive efficiency of firms the paper investigates how hiring of employees with different creative skills impacts innovation process and productivity. The purpose of this paper is to determine the role of creativity in innovation behavior and productive efficiency of firms. Design/methodology/approach Theoretical framework of the paper rests on pillars of evolutionary, Schumpeterian and endogenous growth literature contributions to the economics of innovation. The multi-stage analytical framework is applied to examine contribution of creativity to the decision of firms to innovate, investment in innovation activities, commercialization of innovations and firm efficiency. The econometric techniques of generalized tobit and simultaneous equations framework are applied to confidential data from the UK Innovation Survey in 2010-2012 period. Findings The investigation broadens our understanding of factors and forces that shape innovation process and improve productive efficiency of firms. It provides empirical evidence on an impact of the effectiveness of innovation process on the productivity of firms. The results reveal that creative skills contribute to the generation of novel ideas and investment in research and development but the ability to meet customer requirements draws from other organizational skills such as marketing or organizational innovations. Differences are revealed among economic sectors with respect to the forces driving the innovation process. Research limitations/implications Further research will be needed to investigate cross-country differences in management of creativity and its contribution to the innovation process and productivity. The limited availability of data on creativity and innovation activities of firms presents the most important limitation in this sense. The framework set by this paper can serve as direction for further investigations. Practical implications The results provide implications to managers regarding the management of innovation process. First, the study reveals how creative potential of employees can be optimally exploited in different stages of innovation process. Second, the research highlights number of other factors relevant in this process from the utilization of information, subsidies and the general management of human resources. Finally, the results suggest that sectoral heterogeneity should be taken into account in management of innovation activities of individual firms. Originality/value While the impact of creativity on innovation has been addressed previously, this paper is one of first attempts to examine the linkages between management of creativity, effectiveness of innovation process and productive efficiency of firms within a single framework. One of reasons for this is the fact that it relies on the confidential dataset of firms not easily accessible to researchers.
Business · Commercialization · Creativity · Economic growth · Economics · Industrial organization · Investment (military) · Process (computing) · Product innovation · Productivity · Tobit model · Computer Science · Cultural Industries and Urban Development · Entrepreneurship Studies and Influences · Firm Innovation and Growth · Marketing
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| Obras citantes distintas | 12 |
|---|---|
| Citas por año | 2,4 |
| Intervalo de citas | 2021 - 2026 (6) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 12 |