1,721,396 research outputs found
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Start-ups, innovation and knowledge spillovers
Full text linkThe knowledge spillover theory of entrepreneurship (KSTE) seeks to explain the mechanisms of how uncommercialized knowledge can be turned into new to market products. This paper uses a large unbalanced panel of 16,542 UK firms constructed from six consecutive waves of a community innovation survey and annual business registry survey during 2002–2014 to test the differences in the returns to knowledge spillover for innovation between start-ups and incumbent firms. The theoretical, managerial, and policy implications of the study are discussed
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Knowledge management and entrepreneurship
Full text linkWhile research on knowledge management in entrepreneurial organizations has been the subject of much scholarly attention, it has mostly been considered independently rather than in institutional, geographical or industrial contexts. The purpose of this special issue is to integrate the role of context with knowledge management research, and to discuss the subsequent implications for entrepreneurship. This paper draws on the knowledge spillover theory of entrepreneurship, open innovation theory and the institutional perspective to knowledge management in entrepreneurial organizations, It does so in order to measure returns to investment in knowledge and knowledge spillovers across various industries and levels of economic activity (individual, firm, industry, university, region). Future research suggestions from the papers included in the special journal issue are also discussed and explained
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The role of institutions in latent and emergent entrepreneurship
Full text linkDrawing from perspectives on institutional hierarchy (Williamson) and social embeddedness (Granovetter), we examine the role of embeddedness, formal institutions and governance in shaping latent and emergent entrepreneurship. We examine the role of heterogeneous institutional conditions - corruption, social relationships, property rights and government size – matter across 66 countries between 2005 and 2015. Our findings demonstrate that heterogeneity of institutional conditions and heterogeneity of entrepreneurship outcome are important and not monolithic. Notably, we find that while corruption impedes both latent and emergent entrepreneurship, this effect lasts almost three times as long for latent entrepreneurship. We also find that entrepreneurs in countries with more corrupt contexts have lower aspirations to start and own a business
Entrepreneurial growth, value creation and new technologies
No full textA robust literature has provided compelling evidence showing how digital transformation impacts entrepreneurship activity. However, only a paucity of research has linked adoption of new technologies to innovation, value creation, knowledge transfer and performance across different stages of the entrepreneurial growth continuum. This special issue fills this gap in the literature by focusing on if, how and why adoption of digital technologies and embeddedness in the digital entrepreneurial ecosystem enhances innovative activity and firm performance during the early and later stages of market entry. In particular, this special issue examines how digital transformation facilitates entrepreneurial, innovation, and social outputs along the entrepreneurial journey as well as why and how digital technologies may facilitate the interaction between economic agents and re-combination of internal resources and capabilities with those available externally. In doing so, this special issue unpacks a nuanced relationship between the diversity of new technologies and knowledge, their suitability and applicability for entrepreneurship and at different growth stages. This study offers policy implications and future research roadmap
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Effects of open innovation in startups: theory and evidence
Full text linkA robust literature has provided compelling evidence showing how open innovation impacts incumbent firms. However, only a paucity of research has linked open innovation strategies to different types of innovation in startups. This paper fills this gap in the literature by focusing on if, how and why open innovation enhances innovative activity in newly created firms. In particular, the paper examines how the role of both the specific external partner as well as the geographical location of partner matters in how product and process innovation is shaped in startups. The empirical evidence garnered in this paper suggest that not only do startups benefit from open innovation, but also the extent of product innovation and the propensity to innovate new processes in startups are significantly affected by specific external partner and its geographical location. The positive impact of open innovation reflects the heterogeneous effects of knowledge embedded in different partner types and the role that technological, institutional, and competitive arrangements play domestically and internationally in startup innovation. This study provides new light on how and why open innovation benefits not just incumbents but also startups as well
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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