Open Data and High-Tech Startups Towards Nascent Entrepreneurship Strategies

2018 ◽  
pp. 3032-3041 ◽  
Author(s):  
Fotis Kitsios ◽  
Maria Kamariotou
Keyword(s):  
Economic Growth ◽  
Open Data ◽  
Theoretical Framework ◽  
High Tech ◽  
Nascent Entrepreneurs ◽  
Nascent Entrepreneurship ◽  
The Impact

Open data are freely accessible online, available to be reused. They can be used for the development of applications which improve citizens' life. A way to boost the development of innovative applications is by hosting hackathons, workshops and conferences. Apparently, as far as entrepreneurship, open data impact on economic growth, innovation, empowerment and new or improved products and services. There is limited previous research not only on what motivates the developers to participate in open data competitions, but also on the benefits and challenges which are caused from the use of open data. Furthermore, researches focus on factors that affect nascent entrepreneurs' decision to create a startup but researchers in the field of open data and hackathons relative researches are limited. The purpose of this chapter is to present a theoretical framework in order to examine the impact of motivations, benefits and barriers of the use of open data in the participation in hackathons and to develop a startup based on their applications.

Open Data and High-Tech Startups Towards Nascent Entrepreneurship Strategies

2019 ◽  
pp. 471-482
Author(s):  
Fotis Kitsios ◽  
Maria Kamariotou
Keyword(s):  
Economic Growth ◽  
Open Data ◽  
Theoretical Framework ◽  
High Tech ◽  
Nascent Entrepreneurs ◽  
Nascent Entrepreneurship ◽  
The Impact

Open data are freely accessible online, available to be reused. They can be used for the development of applications which improve citizens' lives. A way to boost the development of innovative applications is by hosting hackathons, workshops, and conferences. Apparently, as far as entrepreneurship, open data impact economic growth, innovation, empowerment, and new or improved products and services. There is limited previous research not only on what motivates the developers to participate in open data competitions, but also on the benefits and challenges which are caused from the use of open data. Furthermore, researches focus on factors that affect nascent entrepreneurs' decisions to create a startup, but research in the field of open data and hackathons are limited. The purpose of this chapter is to present a theoretical framework in order to examine the impact of motivations, benefits, and barriers of the use of open data in the participation in hackathons and to develop a startup based on their applications.

scholarly journals Impacto das exportações de alta tecnologia no crescimento econômico: evidências empíricas do Paquistão

2017 ◽  
Vol 8 (1) ◽  
pp. 91 ◽  
Author(s):  
Muhammad Usman
Keyword(s):  
Economic Growth ◽  
World Bank ◽  
Time Span ◽  
Least Square ◽  
High Tech ◽  
Ordinary Least Square ◽  
Robust Standard Error ◽  
Long Run ◽  
Data Source ◽  
The Impact

The goal of this study is to explore the impact of high tech exports on economic growth of Pakistan. To examine this relationship, data are collected from World Bank database, State Bank of Pakistan data source and Statistical Bureau of Pakistan. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square (OLS) with robust standard error, results confirm that there is a positive and statistically significant impact of high tech exports on economic growth. Although Pakistan is an agriculture country and its economic growth is largely depend upon farming, but for long run economic growth, Pakistan has to increase its high tech exports.

Evaluating the impact of changes in human capital structure on Russia's economic growth dynamics

2021 ◽  
Vol 20 (2) ◽  
pp. 200-222
Author(s):  
Roman M. MEL'NIKOV ◽  
Valentina A. TESLENKO
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Growth Rates ◽  
Fixed Effects ◽  
Growth Dynamics ◽  
High Tech ◽  
Fixed Effects Model ◽  
Long Term Effects ◽  
Academic Degree ◽  
The Impact

Subject. The article explores the impact of changes in the educational structure of the employed population on the dynamics of economic growth. Objectives. The purpose is to evaluate the impact of changes in the share of employed persons, having secondary vocational and higher education, and researchers with academic degree on the growth rates of the Russian economy. Methods. The study employs the regression analysis of panel data of Russian regions, the specification with a quadratic dependence of economic growth rates on the share of employed persons, having the higher education and secondary vocational education. A fixed-effects model is used to analyze the short-term effects, the sustainability of results, and long-term effects, using the pool models and random effects models. Results. The increase in the share of researchers with academic degree has a positive and significant effect on economic growth, but only if adequate R&D funding is provided. The increase in the share of employed persons with higher education up to thirty percent is accompanied by an increase in the growth rate of real GRP in the long run, however, further expansion of higher education has no positive effect on economic growth. Conclusions. A powerful form of personnel training for Russian high-tech companies is a special model of ‘industrial postgraduate training’, which involves the collaboration of universities with industrial partners.

The Impact of Entrepreneurial Cognition on the Founding and Survival of New Small Businesses

2012 ◽  
Vol 26 (6) ◽  
pp. 453-460 ◽  
Author(s):  
Andrew P. Hird
Keyword(s):  
Cognitive Style ◽  
Small Businesses ◽  
Survival Rates ◽  
Nascent Entrepreneurs ◽  
Nascent Entrepreneurship ◽  
Nascent Entrepreneur ◽  
Psychometric Instruments ◽  
New Business ◽  
The Uk ◽  
The Impact

This paper reports on an investigation into nascent entrepreneurship. Developing and sustaining a new business is a complex and uncertain process, and different types of individuals react to this uncertainty in different ways. It is argued that cognitive factors play a crucial role. Validated and reliable psychometric instruments were administered to 119 nascent entrepreneurs in the UK. The respondents were tracked through the nascent phase, business launch and to six months after launch. The findings indicate that cognitive style is not a predictor of nascent entrepreneurship but that it is highly influential in the process of founding a business. Both intuitive and analytic nascent entrepreneurs started businesses and cognitive style did not affect survival rates, but the process of business formation and survival developed in different ways. Most research to date has argued that an intuitive cognitive style is associated with the necessary characteristics for launching an entrepreneurial venture. It is possible that this conclusion has been drawn because most studies have been conducted among existing entrepreneurs. The findings of the present study indicate that, at the nascent stage of entrepreneurship, and particularly among inexperienced nascent entrepreneurs, this assertion is open to challenge. An awareness of an entrepreneur's cognitive style may assist those who seek to support and advise the nascent entrepreneur, but may also help individual entrepreneurs to recognize their strengths and weaknesses and, so, to develop appropriate strategies for business launch and survival.

scholarly journals Analysis of the Effect of Industrial Transformation of Resource-Based Cities in Northeast China

Economies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 40
Author(s):  
Gaolan Hou ◽  
Zhou Zou ◽  
Tianran Zhang ◽  
Yue Meng
Keyword(s):  
Economic Growth ◽  
Northeast China ◽  
Industrial Structure ◽  
Transformation Process ◽  
High Tech ◽  
Industrial Transformation ◽  
The Sustainable Development ◽  
Rational Development ◽  
Regional Coordination ◽  
The Impact

Based on the development of the industrial structure of prefecture-level resource-based cities in Northeast China, this paper selects three indicators of industrial structure—diversification, rationalization and upgrading—conducting empirical analysis on the transformation of the industrial structure of these resource-based cities. The effects of the industrial transformation of resource-based cities of the same kind are analysed and the development of industrial structure in different provinces is compared. It indicates that the transformation process and adjustment effect of the industrial structures in resource-based cities of Northeast China were different and were not very satisfactory on the whole and the secondary industry was still the leading industry in most cities. In addition, the article analyses the impact of the industrial transformation on the economic growth of resource-based cities in Northeast China. It can be concluded that the rationalization and upgrading of industrial structure generally promoted the cities’ economic growth. The promotion of industrial structure rationalization was greater than that of upgrading. In order to promote the sustainable development of resource-based cities’ economy in Northeast China and solve problems in the process of the cities’ development, two suggestions are proposed. One is to pay attention to the rational development of the industrial structure, so it is necessary to strengthen the overall planning of resource-based cities in the Northeast region, promote regional coordination and rationally arrange and adjust the industrial structure from the overall scope of the region. Another is to continue to promote the process of industrial structure upgrading by introducing high-tech industries through preferential policies and to develop relevant industries based on the advantages of the cities, instead of just extending the original industry.

scholarly journals Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countries

2020 ◽  
Vol 18 (2) ◽  
pp. 277-289
Author(s):  
Dana Kiselakova ◽  
Beata Sofrankova ◽  
Erika Onuferova ◽  
Veronika Cabinova
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Educational Attainment ◽  
Direct Investment ◽  
Government Expenditure ◽  
High Tech ◽  
Innovation Potential ◽  
Per Capita ◽  
The Impact ◽  
The Eu

Innovations play an inevitable role in achieving macroeconomic growth of countries, and innovative activity is perceived as a source of sustainable development. This paper’s main objective is to explore the impact of innovation determinants on the macroeconomic development of the EU (28) member countries and identify key problem areas distorting sustainable development and growth of these countries. The research analysis is performed using panel data regression models estimated from 2010 to 2018. Innovation potential was quantified using selected indicators, such as patent granted, high-tech exports, gross domestic expenditures on R&D, government expenditure on education, direct investment, gross fixed capital, and tertiary educational attainment. Such indicators as real GDP per capita and GNI per capita were applied to measure economic growth. The results provide evidence of a statistically significant relationship between innovation and economic growth (p < 0.01). Therefore, both research hypotheses were accepted. Based on innovation potential assessment, the statistically significant impact of five indicators were confirmed (high-tech exports, gross domestic expenditure on R&D, government expenditure on education, direct investment, and tertiary educational attainment). In this backdrop, the most significant effect was revealed for variable gross domestic expenditure on R&D (0.5343). The findings lead to the conclusion that the EU’s and national innovation policies and initiatives should aim to create framework conditions that favor the innovation environment and increase R&D expenditure to endorse real economic growth. AcknowledgmentThis article has been prepared within the research project VEGA No. 1/0279/19 “Model approaches to increase performance and competitiveness in the European area in the context of sustainable development”.

scholarly journals The Export-Led Growth: A Technological View

2016 ◽  
Author(s):  
Harun Bal ◽  
Hakkı Çiftçi ◽  
Erhan İşcan ◽  
Duygu Serin Oktay
Keyword(s):  
Economic Growth ◽  
Oecd Countries ◽  
High Tech ◽  
Dynamic Panel ◽  
Impact Of Technology ◽  
Rates Of Growth ◽  
The Impact ◽  
The Relationship ◽  
High Share ◽  
Yearly Data

The details of the impact of exports on economic growth have been one of the most important topics in the literature. Numerous studies asserted that open economies grow faster than the closed ones because of the effect of the exports on GDP and increase of productivity and efficiency through foreign competition. Concurrently, these studies indicated that there are strong correlation exists between exports and economic growth. On the other hand, high share of production of technology in today's economies is the key for sustainable and high rates of growth and the relationship between technology exports and economic growth has been a topic of interest among economists. Many studies in the literature published on export-led hypothesis in recent years but only few studies addressed the technological issues. Therefore, the purpose of this study is to examine the impact of technology exports on economic growth of selected OECD countries using dynamic panel method. We established the model by using the yearly data of 2003-2015 periods for selected OECD countries provided by OECD.Stat. As a conclusion, it is revealed that technology exports have positive and statistically significant impact on economic growth. These results implied that high-tech exports led to growth in selected OECD countries. These results suggested that promoting the production of technology is one the drivers of the economic growth.

Open data hackathons: an innovative strategy to enhance entrepreneurial intention

2018 ◽  
Vol 10 (4) ◽  
pp. 519-538 ◽  
Author(s):  
Fotis Kitsios ◽  
Maria Kamariotou
Keyword(s):  
Economic Growth ◽  
Design Methodology ◽  
Open Data ◽  
Entrepreneurial Intention ◽  
Nascent Entrepreneurs ◽  
Content Type ◽  
Innovative Strategy ◽  
Nascent Entrepreneur ◽  
Proposed Model ◽  
New Applications

Purpose In terms of entrepreneurship, open data benefits include economic growth, innovation, empowerment and new or improved products and services. Hackathons encourage the development of new applications using open data and the creation of startups based on these applications. Researchers focus on factors that affect nascent entrepreneurs’ decision to create a startup but researches in the field of open data hackathons have not been fully investigated yet. This paper aims to suggest a model that incorporates factors that affect the decision of establishing a startup by developers who have participated in open data hackathons. Design/methodology/approach In total, 70 papers were examined and analyzed using a three-phased literature review methodology, which was suggested by Webster and Watson (2002). These surveys investigated several factors that affect a nascent entrepreneur to create a startup. Findings Eventually, by identifying the motivations for developers to participate in a hackathon, and understanding the benefits of the use of open data, researchers will be able to elaborate the proposed model and evaluate if the contest has contributed to the decision of establish a startup and what factors affect the decision to establish a startup apply to open data developers, and if the participants of the contest agree with these factors. Originality/value The paper expands the scope of open data research on entrepreneurship field, stating the need for more research to be conducted regarding the open data in entrepreneurship through hackathons.

scholarly journals Medium- and High-Tech Export and Renewable Energy Consumption: Non-Linear Evidence from the ASEAN Countries

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4419
Author(s):  
Cong Khai Dinh ◽  
Quang Thanh Ngo ◽  
Trung Thanh Nguyen
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Fixed Effects ◽  
Fossil Fuels ◽  
Energy Use ◽  
High Tech ◽  
Renewable Energy Consumption ◽  
Development Indicators ◽  
The Impact

Sustaining economic growth while reducing dependence on fossil fuels remains a challenge for our world to fight against climate change and therefore finding a way to promote economic growth and increase renewable energy use is needed. This paper uses a 22-year panel dataset (1994–2015) of 9 countries in the Association of Southeast Asian Nations provided by the World Bank World Development Indicators to examine the impact of medium- and high-tech export on renewable energy use. We employ a fixed-effects regression model with the Driscoll–Kraay nonparametric covariance matrix estimator to account for sectoral and temporal dependence. We also control for inflation, employment, population growth, and gross domestic product per capita in our estimations. Our results demonstrate a U-shaped association between medium- and high-tech export and renewable energy consumption of these economies. The results propose that enhancing medium- and high-tech export could be a feasible solution for promoting renewable energy consumption.

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