Publications

This paper studies the willingness among Russia’s population to try out three new transport technologies: electric cars, car-sharing, and autonomous driving. The assumption is that these three offerings will in the near future appear as autonomously driving vehicles booked on a subscription basis. Next to socio-economic parameters such as age, gender, place of living or holding a driver’s licence, we introduce three measures: values of self-expression, attitudes towards science and technology and attitudes towards novelties in general to explain the likelihood to try out these transport innovations. Thereby, this paper increases the understanding of the preconditions that lead to widespread acceptance of transport innovations. An analysis of the psychological set-up of the respondents allowed for the identification of a group of enthusiasts that are excited to try out these new transportation offerings. We argue that application of such an approach deepens the understanding of social mechanisms behind technology adoption and can be useful for the identification of social groups that support related processes.

Moscow is home to a quarter of Russia’s creative workers and generates over half of the creative industry’s value added. Due to its favourable development, the sector is increasingly receiving attention from policy makers and academics alike as a feasible option to reduce the country’s dependence on its extractive industries. The signs look promising: the city’s creative industries are likely to grow fast, attract investments and have become a successful exporter of creative goods and services. This paper provides an assessment of Moscow’s creative industries and asks what needs to be done in order to allow the industry to prosper.

This pocket data book contains main S&T and innovation indicators for the Russian Federation. The publication includes the most recent statistical data on R&D input and output, as well as international comparisons. The data book includes information of the Russian Federal State Statistics Service, Ministry of Science and Higher Education of the Russian Federation, Russian Federal Service for Intellectual Property (Rospatent), Organisation for Economic Co-operation and Development (OECD), European Statistical Offi ce (Eurostat), UNESCO, World Intellectual Property Organisation (WIPO), national statistical offi ces of other countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge.

This pocket data book contains main S&T and innovation indicators for the Russian Federation. The publication includes the most recent statistical data on R&D input and output, as well as international comparisons. The data book includes information of the Russian Federal State Statistics Service, Ministry of Science and Higher Education of the Russian Federation, Russian Federal Service for Intellectual Property (Rospatent), Organisation for Economic Co-operation and Development (OECD), European Statistical Office (Eurostat), UNESCO, World Intellectual Property Organisation (WIPO), national statistical offices of other countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. 

This study presents an agent-based model of capital markets by adopting simple trading rules for bounded rational agents who maintain different expectations regarding a tipping point at which price starts to change its direction from rising (falling) to falling (rising). The effect of herding behavior on the volatility of stock market prices and the rate of return to the herding group are investigated by dividing agents into one or more groups. Herding behavior by a group of agents leads to high market volatility and high return for the agents in the group. Maximum rate of return is reached when the group size is approximately 3% of the total number of agents. This finding is consistent with the actual degree of herding behavior in markets found by empirical studies. However, the rates of return decrease when the group size exceeds 3%, and the premium of the herding group tends to disappear when the group size reaches a certain level (20%) compared with that of non-herding groups. Reducing the number of groups (or increasing the average size of the herding groups) leads to high price volatility.

The paper focuses on a key uniqueness of the simultaneous generation of social and business value - across science, technology and society - involving academics, businesses, policy makers, innovation intermediaries, NGOs and citizens that share and integrate assets in developing solutions to address economic and societal challenges.

By contrasting with a broad literature using the term ‘co-creation’ to denote close working relationship between actors, the paper outlines a conceptual framework explaining how the diversity of agents involved, their motivations and goals, and incentive structures in which they operate impact on science-based co-creation. This multidimensional perspective is discussed with regard to the scope of innovation, reach and types of values that are generated, and the distinctive features to be considered when both social and business value are at the core of collaboration.

Policy implications to support science-based co-creation are discussed with regard to the rationale for public interventions and the critical dimensions of policy implementation and assessment. It highlights that policy design aiming at supporting societal challenges through co-creation should address mechanisms to integrate tangible and intangible inputs, define suitable operational models and enhance specific capabilities and practices.

Recent studies have substantially enhanced our understanding of attention deficit and hyperactivity disorder (ADHD) in entrepreneurship—articulating the theoretical relevance of ADHD-type traits in entrepreneurship and confirming the positive linkages between ADHD symptoms/diagnosis and entrepreneurial intentions and behavior. However, how and why some people with ADHD symptoms run successful ventures, while other entrepreneurs fail to perform well, is still not well established. Our study builds on a Gestalt perspective that integrates person–environment fit and broaden-and-build theorizing, and proposes that strong positive emotions enable entrepreneurs with ADHD symptoms (at the subclinical level) to mitigate/reinforce the effect of ADHD’s trait-specific weaknesses/strengths to achieve entrepreneurial performance. Relying on fuzzy-set methodology, our findings indicate that for entrepreneurs with ADHD symptoms, entrepreneurial performance occurs when they simultaneously experience passion for founding and developing. This passion configuration is unique to successful ADHD-type entrepreneurs. As such, this study offers novel theoretical and empirical insights as well as implications for practitioners.

Plain English Summary Do people with ADHD perform well in entrepreneurship? Our research shows how ADHD symptoms relate to entrepreneurial performance finding that passion is important. Entrepreneurs who are highly and thereby ambidextrously passionate for growing their businesses and for founding activities while lacking intense positive feelings for coming up with new ideas can benefit from ADHD. These results are important for people with ADHD and their loved ones.

This research illustrates the relevance of individual digital capabilities for SMEs’ growth and innovation performance. Going beyond Penrosian growth theory, taking a microfoundational perspective demonstrates that these capabilities are crucial for attaining business growth and innovation.

From a sample of 2,156,360 European SMEs, our findings highlight SMEs’ need for internal digital capabilities to respond rapidly to market changes. The current workplace requires individual capabilities able to face increasingly complex and interactive tasks. This set of capabilities also drives SMEs towards new perspectives and induces an increasing demand for individual digital capabilities. Employees are thus tasked to be digital literates in the field of information, communication and software. Penrose and others argued that business growth is leveraged primarily by interpersonal relationships based on trust, identification, and mutual obligation. However, today, individual digital capabilities have assumed an equally crucial role for growth and innovation in our increasingly digital competitive reality.

International-entrepreneurship researchers use a capability-based perspective to analyze the international performance of early-internationalizing firms. More than 300 papers seem to address the role of capabilities in international performance. The purpose of this study is to structure this literature and provide an orientation for researchers. First, we develop a capability-categorization model. Second, we use this model in conjunction with our systematic literature review to identify which capabilities dominate the literature and which may have been overlooked. Third, we find that, in a significant share of the papers, “capability” is defined rather loosely, which impedes theory development at the interface of the capability-based perspective and international entrepreneurship. We conclude with a research agenda for future capabilities-based international-entrepreneurship research.

Knowledge-intensive business services (KIBS) significantly contribute to the economic growth and competitive advantage of emerging markets, including Silk Road countries. KIBS are not only intermediaries that transfer knowledge through the economy but are also innovators themselves. This paper aims to explore how major innovation drivers influence the implementation of innovation in KIBS. Using a sample of 519 KIBS enterprises from Russia, the results show that human capital increases the implementation of technological innovation, while the link between standardisation and technological innovations is nonlinear (an inverted U-shaped). In addition, the multiregional branch network promotes the implementation of all types of innovation, while advertising investments enhance the implementation of technological and marketing ones. These results help to provide some practical suggestions for both innovation managers and policy-makers.

The gastronomy sector is among those that are hit particularly hard by a loss of customers and regulatory uncertainty of the COVID-19 crisis. When established ways of doing business become almost impossible, business model innovation (BMI) is a possible reaction to this high uncertainty level. Effectuation and causation are decision-making logics that may lead to BMI and help a firm navigate uncertainty. We investigate configurations of causation and effectuation components associated with a high BMI level during the first wave of COVID-19. We perform fuzzy-set-qualitative comparative analysis (fsQCA) on a sample of 143 gastronomy entrepreneurs in Münster county, Germany. We identify two paths that lead to a high BMI level: “the planning soloist” and “the hedging networker.” We conclude that innovators among the gastronomy entrepreneurs use effectuation and causation components in complex configurations.

Digital technologies, data intelligence and analytics are developing significant potential benefits for business transformation. The most prominent digital technologies appear in wearable devices (WDs), i.e., small electronic devices that collect and transmit data. By applying the lens of the Technology Acceptance Model (TAM), the paper offers a new research model, identifying four antecedents (organizational trust, perceived usefulness, hedonic motivations, and privacy) which reflect employees’ intentions to use WDs. The model also recognizes an additional mediator variable, namely rewards, which intercedes the direct relationship between organizational trust and the intention to use WDs. In particular, a sample of 523 temporary employees is analyzed by multiple regression analysis which results in a strong relationship between the intention to use and the perceived benefits of using WDs, whereas the perceived risks (i.e., privacy) are negatively associated with the intention to use WDs. Finally, rewards impact positively on results by mediating the connection between organizational trust and the intention to use WDs. The study contributes to extending the literature on digital tools, data intelligence, and analytics within a firm and offers original solutions for business and societal transformation.

Addressing the effect of regional innovation strategies for smart specialization is beneficial. This study investigates the correlation between smart specialization innovation strategies and university-region collaboration. The findings of this study will help researchers and decision makers understand and strategically plan for linking education with industry and thus help create entrepreneurial universities. This paper examines the regional innovation strategies for smart specialization. The data was collected at a Croatian university. The research aims to study the effect of the link of an educational institute with industry and how that makes universities become more entrepreneurial. In our model, smart specialization is measured as an assessment of the benefits of university-regional collaboration for universities to become entrepreneurial. The results highlight that smart specialization innovation strategies are enhancing university collaboration regionally. We learn that involvement of universities is an essential ingredient.

Following the rise of academic interest in the concept of social innovation, scholarly attention turned towards the concept of social innovation ecosystems (SIE). Despite multiple emerging viewpoints on the composition and spatial level of SIE, the empirical evidence of structures of SIE is limited. Using interviews with 35 informants and documentary analysis, this paper explores structures of SIEs in Manchester, Stockholm, Utrecht, Budapest, and Sofia, and identifies features of urban and national cultures, institutional relations, networks, and infrastructures that influences social innovation activity in selected areas. The research concludes that insufficient urban-level support forces social innovators to rely on non-urban factors in supporting social innovation.

This paper presents an organizing framework of Entrepreneurship Education (EE) evolving strategies to fulfill third mission in an Entrepreneurial University. Actually, universities are struggling to face the challenges in achieving third mission objectives enhancing entrepreneurial culture to prosper in an entrepreneurial society. In this context, there is currently no clear categorization in the literature of the different EE academic strategies able to contribute differently to third mission goals and impact. Gathering from the literature on EE, the paper typifies academic EE strategies and their evolution toward an ecosystemic approach that is here seen as an ideal scenario to align EE within the mission and values expected to achieve third mission outcomes and impact. The contribution is a starting point for future research in the field, paving the way for empirical validations able to highlight the link between University EE strategy and University ability to implement its third mission. It can also serve as a guide for entrepreneurship educators, university executives and policy makers to develop extensive and effective strategies in the EE field.

Purpose

This study aims to investigate the effects of open innovation (OI) and big data analytics (BDA) on reflective knowledge exchange (RKE) within the context of complex collaborative networks. Specifically, it considers the relationships between sourcing knowledge from an external environment, transferring knowledge to an external environment and adopting solutions that are useful to appropriate returns from innovation.

Design/methodology/approach

This study analyzes the connection between the number of patent applications and the amount of OI, as well as the association between the number of patent applications and the use of BDA. Data from firms in the 27 European Union countries were retrieved from the Eurostat database for the period 2014–2019 and were investigated using an ordinary least squares regression analysis.

Findings

Because of its twofold lens based on both knowledge management and OI, this study sheds light on OI collaboration modes and highlights the crucial role they could play in innovation. In particular, the results suggest that OI collaboration modes have a strong effect on innovation performance, stimulating the search for RKE.

Originality/value

This study furthers a deeper understanding of RKE, which is shown to be an important mechanism that incentivizes firms to increase their efforts in the innovation process. Further, RKE supports firms in taking full advantage of the innovative knowledge they generate within their inter-organizational network.

Start-ups are an important source of novel knowledge and product ideas for incumbents. We investigate which search strategies are positively related to the successful search for start-ups. We identify search instruments and their various uses: intensive or broad; stand-alone or combinatory. Finding 11 search practices in the literature, we evaluate how these practices were used by 97 respondents from a cross-industry and cross-national sample. Our results show that searching broadly and intensively is positively related to a successful search for start-ups and to firms’ radical innovation capability. Specific tools that are positively related to search success are online contacts, desk research, external scouting partners, and start-up pitch events. Decision tree analysis provides effective combinations of search practices that innovation managers and purchasing managers can use. Employing these search practice combinations, we make incumbents aware of the routines used in distant knowledge search. These practices are dynamic capabilities that help them to remain successful in high-velocity markets. In identifying these search practices, we contribute to the literature on innovation routines and dynamic capability research.