Innovation Propensity in Croatian Enterprises: Results of a Community Innovation Survey

Aralica, Zoran; Račić, Domagoj; Radic, Dubravko

doi:10.2478/v10033-008-0008-6

Cited by 52 publications

(25 citation statements)

References 28 publications

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“…At the same time it should be mentioned that over the years the concept of innovation has changed towards more interactive, cumulative and cooperative phenomenon (Rothwell, 1992;Aralica, Račić, & Radić, 2005). Inter-organisational interaction and related external knowledge is believed to support innovativeness (Cohen, & Levinthal, 1990;Muller & Zenker, 2001).…”

Section: Regional Competitiveness As a Results Of Agglomeration Economiesmentioning

confidence: 99%

Spatial concentration of economic activity and competitiveness of Central European regions

Majewska

Truskolaski

2017

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Abstract:The paper tackles with a still somewhat underdeveloped aspect of regional competiveness which regards to spillover effects stemming from spatial proximity of highly competitive neighbors. Although spillover effects are well recognized in the literature, we focus more on inter-regional concentration of business activity when enterprises are located in a particular district which is not far from the agglomeration center but not the center itself. We check for statistical significance of spatial autocorrelation measures (local Moran's Ii statistic) in order to identify spillovers between districts in Central European countries (Germany, Poland, Czech Republic and Slovakia). We use variables indicating Knowledge Intensive Services (KIS), in particular hi-tech KIS and information and communication services (including computer science). We compare 2009 with 2015 to notice agglomeration dynamics. We observe statistically significant spillover effects in Central European countries in urbanization-type clusters as well as strengthening of the effect over time. Taking into consideration more detailed data for Poland we conclude that while hi-tech KIS mostly spill over to neighboring districts, the reverse pattern may be observed for computer science (programming and consultancy). One explanation is that this subsector relies on highly demanded workforce and a prestigious localization (in the agglomeration centers) works as a bargaining chip to attract programmers. In order to measure the spillover effects more precisely it is recommended to define and measure the neighborhood of agglomeration centers using localization of firms based on GPS coordinates instead of centroids (geometric means) of districts -as shown in example of Poland.

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Section: Regional Competitiveness As a Results Of Agglomeration Economiesmentioning

confidence: 99%

Spatial concentration of economic activity and competitiveness of Central European regions

Majewska

Truskolaski

2017

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“…The underlying intuition is that flatter, decentralized organizations are more effective in realizing their goals (Zheng et al, 2010) and therefore a flatter organizational structure will be more conducive to innovation. Additional controls were included for other variables, such as size (Cohen, 2005), ownership (Aralica et al, 2008), staff qualifications and training (Romijn and Albaladejo, 2002), which have been identified as also affecting the potential for innovation. SIZE was measured as the logarithm of the number of employees in Appendix 2 contains a summary of all the variables described so far.…”

Section: Control Variables (Regression)mentioning

confidence: 99%

Cooperation Behaviour and Innovation Performance in the Nigerian Manufacturing Industry

Egbetokun

2012

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractAnalysing the relationship between firms' openness to external knowledge and their innovation performance is nothing new. What is new is studying how this relationship fares in latecomer economic contexts such as Nigeria, and that is the focus of this paper. Using unique micro-level innovation data, it is shown, as the existing literature suggests, that firms are more likely to innovate when they access external knowledge either through formal or through informal interactions. However, innovative firms that exploit external knowledge do not necessarily enjoy greater innovation benefits than those that do not. Thus, while openness to external knowledge might help firms to become better at innovating, it does not assist them in reaping the benefits derivable from their innovation efforts. Moreover, different innovation types are essentially the same with respect to the effect that network resources have on them. Thus, it makes little sense to engage network partners selectively for certain innovation types at the expense of others.

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“…The resulting body of literature attempts to build a more thorough theoretical understanding of what works and what does not, and to validate practical interventions (see Keizer et al, 2002 andAralica et al, 2005 for systematic reviews). These studies revealed that activities directed towards innovation show a relationship with a considerable number of variables, the most common of which are firm size (Cohen, 2005); ownership ; age (Jung et al, 2003); geography (Hoffman et al, 1998); R&D (Birchall et al, 1996), staff characteristics (Romijn and Albaladejo, 2002); and collaboration with several actors like customers (Le Blanc et al, 1997), suppliers (Lipparini and Sobrero, 1994) and knowledge centres (Hoffman et al, 1998;Oerlemans et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

On the capability of SMEs to innovate: the cable and wire manufacturing subsector in Nigeria

Egbetokun

Adeniyi

Siyanbola

2012

IJLIC

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This study explored the factors that explain innovation capability in SMEs in developing countries. This is important given the increasing global pressures that these SMEs have to face. The data employed came from a survey of Cable and Wire manufacturing firms in Nigeria. The important factors that accounted for innovation performance were firm-level leadership and use of new technologies -particularly ICTs. Important external factors included interactions with customers and suppliers of equipment/raw materials. Particularly, the industry association was about the most significant driver of innovativeness. We therefore conclude that it is beneficial for industries in developing countries to be well-organised as a means to achieving improved innovation capability.

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Innovation Propensity in Croatian Enterprises: Results of a Community Innovation Survey

Abstract: This paper assesses the determinants of innovation activities in

Cited by 52 publications

References 28 publications

Spatial concentration of economic activity and competitiveness of Central European regions

Spatial concentration of economic activity and competitiveness of Central European regions

Cooperation Behaviour and Innovation Performance in the Nigerian Manufacturing Industry

On the capability of SMEs to innovate: the cable and wire manufacturing subsector in Nigeria

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