Czech FDI Performance: Between Global Value Chains and Domestic Reforms

Castro, Tereza De; Hnát, Pavel

doi:10.1007/978-3-319-40496-7_3

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…The government, whether regional or national, affects individual parts of the diamond in a suitable competitive environment and encourages competitiveness by demand stimulation. Government should respond to the needs of clusters, such as promotion of innovation, research, development and education, or appropriate infrastructure creation (De Castro, Hnat, 2017). Balaz (2015) argues that clustering has a positive impact on innovation and competitiveness, capacity building and information, growth and sustainable business dynamics.…”

Section: Fig 1 Four Basic Levels Of a Clustermentioning

confidence: 99%

Selected risks perceived by SMEs related to sustainable entrepreneurship in case of engagement into cluster cooperation

Havierniková¹,

Kordoš²

2019

JESI

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Small and medium enterprises carry out their activities in a dynamic environment that is affected by various processes that also impact their sustainability. The future has the companies that are able to respond promptly to the challenges and are able to exploit opportunities sufficiently. One form of modern entrepreneurship that could help SMEs' sustainability in this environment is the cluster cooperation. This form of entrepreneurship brings many positive effects, but is also affected by various risks. The main aim of this study is to assess the perception of selected business risks that have an impact on SMEs' engagement into cluster cooperation. Using the questionnaire surveys of 1004 SMEs the perception was evaluated with emphasis on the differences between micro-small-and medium sized enterprises. From the data obtained, the tendencies are exposed through the evaluation of following risk categories such as: Market risks, Relation risks, Common resources risks, Operational risks, and Competency risks being assigned by a particular risk indicator afterwards. The final evaluation being made upon all respondents' answers analysis has confirmed that the competition risk turned out to be the most important risk indicator.

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Section: Fig 1 Four Basic Levels Of a Clustermentioning

confidence: 99%

Selected risks perceived by SMEs related to sustainable entrepreneurship in case of engagement into cluster cooperation

Havierniková¹,

Kordoš²

2019

JESI

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“…According to Porter [1], cluster can be understood as the geographical focus of interconnected companies, specialized suppliers, service providers, related companies, and affiliated institutions such as universities, agencies and trade. At the same time, it is assumed that interconnected industries geographically concentrated in a defined territory are the driving forces behind national, regional and local development [2], [3]. Clusters are considered to be a major microeconomic factor that increases the prosperity of regions, increases the inflow of foreign direct investment, creates an environment conducive to innovation and knowledge creation; hence the regions with strong clusters are considered to be innovative leaders [4].…”

Section: Introduction and Theoretical Backgroundmentioning

confidence: 99%

The Perception of Selected Risks Focused on Human Resources as Results of Cluster Cooperation: The Comparison Between Reality and Expectations of Small and Medium Enterprises

Havierniková¹,

Kordoš²

2018

Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)

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The main aim of this paper is to evaluate the perception of the Slovak small and medium sized entrepreneurs (SMEs) of risks related to human resources issues that are connected with potential participation of SMEs in the cluster cooperation. To do so, it compares the attitudes of entrepreneurs categorized by type of clusters that operate in Slovak republic: technological and tourism. A study about risk perception was conducted in 2017-2018 on a sample of 515 tourism and 471 of technological small and medium sized enterprises (SMEs) that participate in cluster cooperation, or have experience/knowledge about it. Further we used descriptive statistics and our hypotheses have been evaluated by means of chi-square method. Following risks were evaluated: 1. Risk connected with human factor (individualism of human), 2. The qualification and skills of employees, 3. Personal risks connected with brain drain, 4. Partners' behavior. We have found out that perception of selected risks is different only in case of technological SMEs.

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