Публикации

University-industry innovation networks (UIINs) are important agents of innovation, as they bring together the unique profiles of higher education and industry partners. Knowledge growth in these networks does not happen automatically. We analyze the impact of network density and heterogeneity on knowledge growth in UIINs. Knowledge grows through knowledge transfer, spillover, and knowledge innovation. Knowledge growth is a function of each agent's initial knowledge level, network density, and agent heterogeneity. To analyze these correlates of knowledge growth, we use a knowledge growth model based on multiple agents and simulate knowledge growth in a UIIN. Our results show that network density positively influences knowledge growth. Initially, this positive impact increases and then disappears with a further increase in network density. We also find that heterogeneity moderates the relationship between density and knowledge growth. Through the positive moderating effect of its impact on knowledge innovation, it promotes new knowledge generation in the entire innovation network, thus providing a basis for subsequent knowledge transfer. Our study supports and enriches the contingency view of knowledge growth in innovation networks.

Many startups use Lean Startup (LS). But is it effective? While there are emerging qualitative findings, quantitative evidence does not yet exist. To address this gap, we developed an operationalization of the degree to which startups use LS (Lean Startup Capability, LSC). We then analyzed the LSC-performance relationship. We found a strong and robust relationship. A discussion contextualizes our findings. The LSC operationalization is relevant for research as future efforts can build on and extend it. The contribution to entrepreneurial practice is that we carved out the element of LSC, and showed that LS is indeed linked to performance.

This paper discusses the challenges of technological entrepreneurship education in the current education system and the questions that need to be answered to improve the efficacy and efficiency of technological entrepreneurship education. The nature of technological entrepreneurship requires a diversified set of skills for success; however, the traditional education system focuses on single discipline. Consequently, it is difficult for either engineers and scientists who are lacking managerial skills or management students who are lacking of engineer or science oriented knowledge to be successful. A further concern is that different communities have entirely different perceptions of how entrepreneurship is defined often causing both confusion and disagreement in communications between researchers and educators with each other. The paper considers the existing literature and develops a series of comprehensive questions that still need to be addressed. By answering these questions, the traditional education methods can be transformed to be more appropriate and useful for technological entrepreneurship education.

Издание подготовлено с использованием Системы интеллектуального анализа больших данных iFORA, разработанной в Институте статистических исследований и экономики знаний Национального исследовательского университета «Высшая школа экономики». Представлена информация о научно-технологических трендах и перспективных рынках в сфере добычи, переработки, транспортировки нефти и газа. Источниками данных послужили более 170 млн документов, опубликованных в 2013–2018 гг., включая научные статьи, патенты, стратегические и аналитические материалы, обзоры рынков, отраслевую периодику экономической, научно-технологической и иной направленности.

Доклад подготовлен Национальным исследовательским университетом «Высшая школа экономики» (НИУ ВШЭ) в сотрудничестве с Научно-исследовательским институтом аэрокосмического мониторинга «АЭРОКОСМОС» (НИИ «АЭРОКОСМОС») по результатам реализации научно-исследовательской работы «Исследование и прогнозирование потребностей экономики в пространственных данных, данных дистанционного зондирования Земли и геоинформационных технологиях, а также услугах, сервисах и продуктах, созданных на их основе» (шифр «ГеоДата»), выполненной по заказу Федеральной службы государственной регистрации, кадастра и картографии (Росреестра). В издании представлены основные итоги комплексного изучения сферы создания и использования пространственных данных. Исследование проведено на основе официальных данных Росреестра, собственных разработок Института статистических исследований и экономики знаний (ИСИЭЗ) НИУ ВШЭ и НИИ «АЭРОКОСМОС». Доклад рассчитан на широкий круг читателей, интересующихся цифровой трансформацией экономики и общества. 

В сборнике представлены актуальные статистические данные, отражающие уровень и динамику развития цифровой экономики России. По ряду индикаторов приведены международные сопоставления.

В публикации использованы материалы Минкомсвязи России, Росстата, Банка России, ОЭСР, Евростата, Международного союза электросвязи (МСЭ), Конференции ООН по торговле и развитию (ЮНКТАД), Всемирной организации интеллектуальной собственности (ВОИС), а также разработки Института статистических исследований и экономики знаний Национального исследовательского университета "Высшая школа экономики".

Fuel cell electric vehicles (FCEVs) have been considered as the future vision for the automotive industry. An increasing number of concepts and prototypes have been introduced in the last decade. In parallel with the technological development, recent discussions about global warming and climate change bring public support for emission free vehicles. Despite of the advancements and support, the speed of introduction of FCEVs is still not at the desirable levels. From a transition management perspective, the present paper seeks to answer the underlying factors behind the implementation of the FCEVs. The discussion goes beyond a technical one to cover broad factors and interests of stakeholders with an ‘eagle-eye view’. Following a discussion the key drivers of change for the FCEV sector and wild cards with disruptive effects, the paper proposes a strategic roadmap template to set an agenda for a successful transition towards FCEVs.

By considering India's 52 large urban agglomerations, this paper finds the relationship between higher level of education and poverty and inequality in urban India. Besides using city level education data from University Grants Commission (UGC), the study uses two rounds of National Sample Survey (NSS) unit-level data on 'consumption expenditure', and 'employment and unemployment' for the year 2011-2012. An empirical analysis using OLS regression method has shown that city level education, proxied by city-wise total number of PhD students enrolled in the universities, has a negative impact on city level poverty rate as seen by poverty head-count ratio, poverty gap ratio, and squared poverty gap ratio. On the other hand, city level education has a positive impact on city level inequality. City-wise work force participation rate has a negative effect on city poverty rate. The article suggests that we need appropriate city level policy to promote higher level education for reduction in city level inequality and poverty rate for sustainable urban development in India.

This book provides an impressive overview of emerging technologies, especially nanotechnologies and biotechnologies, and their prospective applications. It identifies and describes existing and potential markets for emerging technologiy-based applications, and projects scenarios for macroeconomic development based on these technologies. Integrated roadmaps for the development of a nano- and bioindustry are shown and policy measures and corporate strategies developed to advance these technologies. These measures are illustrated using roadmaps and policy case studies.The book combines a practical, comprehensive overview of the technical side of emerging technologies and their applications in various fields with an analysis of market developments and characteristics.