University training for entrepreneurship: Swedish approaches

Johannisson, Bengt

doi:10.1080/08985629100000005

Cited by 261 publications

(262 citation statements)

References 12 publications

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“…Our measure of EL is based on the conceptualization of Laukkanen (2000), who claims that the learning objectives to be achieved by EE initiatives are the provision of an appropriate know-what and know-how (Hood and Young 1993), know-who (Gibb 1996), and know-why and know-when (Johannisson 1991). Based on this conceptual classification of learning, Souitaris, Zerbinati, and Al-Laham (2007) developed a perceptual scale to measure learning from entrepreneurship programs and courses, which we use to examine the learning impact of university offerings.…”

Section: Dependent Variablementioning

confidence: 99%

Entrepreneurial education and learning at universities: exploring multilevel contingencies

Hahn

Minola

Gils

et al. 2017

Entrepreneurship & Regional Development

129

106

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Despite the worldwide increase in entrepreneurship education offered at universities, there is an ongoing debate whether and under which conditions this type of education contributes to students' entrepreneurial learning. Building on human capital theory, we hypothesize that the exposure to various entrepreneurship education initiatives has an inverted U-shaped relationship with entrepreneurial learning outcomes. We also argue that this relationship is moderated by the entrepreneurial experience of the students, the teaching pedagogy applied in entrepreneurial initiatives offered at the university and the prevalence of opportunity-driven entrepreneurship in the country. A multi-level analysis on a cross-country sample of 87,918 students resulting from GUESSS ('Global University Entrepreneurial Spirit Students' Survey') strongly confirms our hypotheses, and allows us to discuss implications for researchers, educators and policy makers with respect to the nature of entrepreneurial learning, the design of entrepreneurial education programs, as well as the contextual conditions that impact entrepreneurial learning outcomes.

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Section: Dependent Variablementioning

confidence: 99%

Entrepreneurial education and learning at universities: exploring multilevel contingencies

Hahn

Minola

Gils

et al. 2017

Entrepreneurship & Regional Development

129

106

View full text Add to dashboard Cite

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“…These sources provide the know-why, know-how, know-who, know-when and know-what important for entrepreneurial success (Johannisson 1991, Malecki 1997. Network arrangements of different kinds provide a firm that assistance necessary to take advantage of outside knowledge.…”

Section: Background Theorymentioning

confidence: 99%

Technological innovation and interfirm cooperation: an exploratory analysis using survey data from manufacturing firms in the metropolitan region of Vienna

Fischer

Varga²

2002

IJTM

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This paper centres around two research questions: first, the identification of five types of networks that manufacturing firms located in the metropolitan region of Vienna may have created for different purposes; and second, the question to what extent the likelihood of interfirm cooperation is conditioned by the general profile of manufacturing establishments and their technological resources. Although this paper focuses on the manufacturing sector a special emphasis is placed on the electronics industry. The study utilizes a recent postal survey providing data on size and organization, products and markets, research and development, innovation and interfirm relationships. The analysis of the first question finds that: first, networking does not yet seem to be a popular managerial and organisational concept for manufacturing firms located in the metropolitan region of Vienna; second, networking activities are primarily based on vertical relationships (customer, manufacturer supplier and producer service provider networks) rather than on horizontal linkages (producer networks, industry-university linkages); third, networks focusing on the later stages of the innovation process are less common than those focusing on the earlier stages; fourth, firms tend to rely on sources of technology from national and -especially -international networks. It appears that metropolitan networking is less common than has been thought. For technical advance spatial proximity does not seem to be very important. Turning to the second research question of the study, focusing on the adoption of the managerial and organizational concept of networking, the results are bolstering the argument that establishment traits and technology related-capabilities do play a role. The results achieved reveal, for example, that in-house research skills are a very good predictor for industry-university relationships. AcknowledgementsThis study draws on work undertaken in close cooperation with the University of Hanover, the Royal Institute of Technology in Stockholm and the Polytechnical University of Catalonia in Barcelona to analyze regional innovation potentials and networks in metropolitan regions. Vera Mayer, Walter Rohn (both Austrian Academy of Sciences) and Ingo Liefner (University of Hanover) have provided fundamental help in conducting the postal survey in the metropolitan region of Vienna. Helpful comments on the manuscript by two anonymous referees have been highly appreciated. 1 Technological Innovation and Interfirm CooperationAn exploratory analysis using survey data from manufacturing firms in the metropolitan region of Vienna Keywords: Electronics, Manufacturing, Innovation, Networking, Regional Innovation Systems AbstractThis paper centres around two research questions: first, the identification of five types of networks that manufacturing firms located in the metropolitan region of Vienna may have created for different purposes; and second, the question to what extent the likelihood of interfirm cooperation is conditioned by ...

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“…skills and competences) and knowwhat (i.e. factual knowledge) important for entrepreneurial success (Johannisson 1991;Malecki 1997). Network arrangements of different kinds provide a firm the assistance necessary to take advantage of outside knowledge.…”

Section: Knowledge Generation and Diffusionmentioning

confidence: 99%

Innovation, knowledge creation and systems of innovation

Fischer¹

2001

The Annals of Regional Science

223

105

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Abstract:The main objective of this paper is to provide greater understanding of the systems of innovation approach as a flexible and useful conceptual framework for spatial innovation analysis. It presents an effort to develop some missing links and to decrease the conceptual noise often present in the discussions on national innovation systems. The paper specifies elements and relations that seem to be essential to the conceptual core of the framework and argues that there is no a priori reason to emphasize the national over the subnational (regional) scale as an appropriate mode for analysis, irrespective of time and place. Localised input-output relations between the actors of the system, knowledge spillovers and their untraded interdependencies lie at the centre of the argument.The paper is organized as follows. It introduces the reader, first, to some basic elements and concepts that are central to understanding the approach. The characteristics of the innovation process are examined: its nature, sources and some of the factors shaping its development. Particular emphasis is laid on the role of knowledge creation and dissemination based on the fundamental distinction between codified and tacit forms. These concepts recur throughout the paper and particularly in discussions on the nature and specifications of the systems approach. The paper concludes by summarizing some of the major findings of the discussion and pointing to some directions for future research activities.

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University training for entrepreneurship: Swedish approaches

Cited by 261 publications

References 12 publications

Entrepreneurial education and learning at universities: exploring multilevel contingencies

Entrepreneurial education and learning at universities: exploring multilevel contingencies

Technological innovation and interfirm cooperation: an exploratory analysis using survey data from manufacturing firms in the metropolitan region of Vienna

Innovation, knowledge creation and systems of innovation

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