Cooperation and the emergence of maritime clusters in the Atlantic: Analysis and implications of innovation and human capital for blue growth

Pinto, Hugo; Cruz, Ana Rita; Combe, Colin

doi:10.1016/j.marpol.2015.03.029

Cited by 69 publications

(40 citation statements)

References 38 publications

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“…4.3 The questionnaire and the research sample The primary data required for this study are collected by means of "The Clustering Level of Istanbul Maritime Sector Survey" which took place between 20 February and 10 June 2017. The survey criteria were based on Porter's diamond model and research of Benito et al (2003), De Langen (2002), Doloreux (2008) and Pinto et al (2015) are used while creating the questionnaire. Cronbach's alpha score of the questionnaire is 0.83, which shows that internal consistency is high.…”

Section: Fuzzy Linear Regression Methodsmentioning

confidence: 99%

“…The motives for the sectoral organisation via clusters are availability of labour pool, widespread supplier and customer base, knowledge spillovers, increase in innovation and low transaction costs (De Langen, 2002;Pinto et al, 2015). A good maritime cluster provides appropriate consulting and management, improves connections among firms, universities and research institutions, increases data sharing and facilitates sub-structure and financial aids to the sector (Chang, 2011;Othman et al, 2011;Salvador et al, 2016).…”

Section: Maritime Clustersmentioning

confidence: 99%

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Clustering potential of Istanbul maritime sector

Karahan

Kırval

2018

MABR

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Purpose-Turkey is a maritime country with its current merchant fleet and shipyards, geographical location, young population and growth potential. Clustering, being one of the important improvement methods of global competition power, is widely used in the maritime sector. Analysing the clustering level and potential of Istanbul, which is the major city of Turkey, in regard to economic and social aspects is a basic step for increasing global competitiveness in this sector. This study aims to measure the clustering level of Istanbul's maritime sector and also define the effect of clustering level on firm performance. Design/methodology/approach-The clustering levels of Istanbul's maritime transportation and supporting firms, shipyards and maritime equipment manufacturers are measured by means of a survey based on Porter's diamond theory in this paper. The relationship between clustering level and firm performance is defined by using simple linear regression and fuzzy linear regression methods. The weights of the criteria are calculated by means of entropy method. Findings-It is concluded that despite its deficits, Istanbul's maritime sector has significant potential to become a major maritime cluster not only in its region but also worldwide. The effect of clustering level on firm performance was observed to be statistically significant, but not high. The results of the simple linear regression and fuzzy linear regression methods are compared. Originality/value-According to the author's knowledge, this paper is the first study using fuzzy linear regression and entropy methods to analyse maritime clusters. It evaluates the effect of clustering level on firm performance in the case of Istanbul maritime sector.

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Section: Fuzzy Linear Regression Methodsmentioning

confidence: 99%

Section: Maritime Clustersmentioning

confidence: 99%

Clustering potential of Istanbul maritime sector

Karahan

Kırval

2018

MABR

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“…Research focuses on the potential and capacity of cluster formulation [32], employment [33], and governance [34], as topics affected by the presence of a maritime cluster. Again, these clusters bear an exemplary effect upon innovation, social capital [35], and competitiveness [36]. Researching maritime clusters can have a diverse scope, inspecting even the most preliminary facts within the theory [37].…”

Section: Strategic Management Within Maritime Clustersmentioning

confidence: 99%

The management of change within maritime clusters

Koliousis¹,

Papadimitriou²,

Stavroulakis³

et al. 2018

FME Transaction

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“…For instance, Karoglu and Eceral (2015) claim that innovation is one of the determinants of a company's or a region's growth. Pinto et al (2015) state that innovation could invoke the development of 'new products, new processes, new sources of supply, the exploitation of new markets and/or new organizational forms'. What is more, Lyles (2014) claims that innovation is one of the vital elements of sustainability.…”

Section: The Interface Between Innovations and Human Capitalmentioning

confidence: 99%

The Role of Human Capital for National Innovation Capability in Eu Countries

Aleknavičiūtė

Skvarciany

Survilaitė

2016

Economics and Culture

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Abstract. Innovation is essential for economic growth in developed countries. One of the most important sources of innovation is human capital. In this article, state of human capital in EU countries is investigated in order to show the relationship between human capital and national innovation performance. In the first part, theoretical assumptions of human capital importance for innovation processes are analysed. Secondly, measures of human capital are analysed and a measurement model is presented. This model is applied for investigation of state of human capital in 26 EU countries during 2002-2012. Results showed that quality of human capital is the most important factor for innovation performance. Quality indicators have even higher correlation with innovation in countries with low share of innovative enterprises (enterprises with high-level of new technology acceptance and usage). The aim of research is to analyse the theoretical importance of human capital investment for national innovation capability in EU countries, and to determine human capital aspects that foster innovation performance. Therefore, objectives are as follows: to analyse theoretical assumptions of human capital importance for innovation processes and to present the current state of research; to analyse available human capital measures and create a human capital measurement model; and to analyse state of human capital in EU countries as well as its relationship with national innovation capability.

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Cooperation and the emergence of maritime clusters in the Atlantic: Analysis and implications of innovation and human capital for blue growth

Cited by 69 publications

References 38 publications

Clustering potential of Istanbul maritime sector

Clustering potential of Istanbul maritime sector

The management of change within maritime clusters

The Role of Human Capital for National Innovation Capability in Eu Countries

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