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派博传思国际中心 »期刊书目

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› BOOKS with Alphabet C (Ca, Cb,Cc, Cd, Ce…... )

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Titlebook: Complexity in Entrepreneurship, Innovation and Technology Research; Applications of Emer Elisabeth S.C. Berger,Andreas Kuckertz Book 2016 S

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书目名称Complexity in Entrepreneurship, Innovation and Technology Research
副标题Applications of Emer
编辑Elisabeth S.C. Berger,Andreas Kuckertz
视频video
概述Covers a range of methods from mixed-methods and.computer simulation studies to qualitative, configurational and semantic.Focuses on the topic of complexity and methods toaddress it in entrepreneurshi
丛书名称FGF Studies in Small Business and Entrepreneurship
图书封面Titlebook: Complexity in Entrepreneurship, Innovation and Technology Research; Applications of Emer Elisabeth S.C. Berger,Andreas Kuckertz Book 2016 S
描述.Thisvolume discusses the challenge of dealing with complexity in entrepreneurship,innovation and technology research. Businesses as well as entire economies areincreasingly being confronted by widespread complex systems. Fields such asentrepreneurship and innovation cannot ignore this reality, especially withtheir inherent links to diverse research fields and interdisciplinary methods.However, most methods that allow more detailed analyses of complex problems areeither neglected in mainstream research or are, at best, still emerging.Against this backdrop, this book provides a forum for the discussion ofemergent and neglected methods in the context of complexity inentrepreneurship, innovation and technology research, and also acts as aninspiration for academics across related disciplines to engage more incomplexity research..
出版日期Book 2016
关键词Archival methods; Complexity; Configurational analysis; Qualitative comparative analysis; Research metho
版次1
doihttps://doi.org/10.1007/978-3-319-27108-8
isbn_softcover978-3-319-80075-2
isbn_ebook978-3-319-27108-8Series ISSN 2364-6918 Series E-ISSN 2364-6926
issn_series 2364-6918
copyrightSpringer International Publishing Switzerland 2016
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Statistical Analysis of Incomplete Data,y. I argue that mixed methods designs offer a solid foundation for bridging this gap. To build my argument, I review the key assumptions and dimensions that make entrepreneurship a complex scientific field, discuss the structure of complexity and compare and contrast different research paradigms in
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Statistical Analysis of Incomplete Data,al conditions cause similar results does not apply to these properties. Based on the current state of the art of entrepreneurship, the underlying assumption of this elaboration is that entrepreneurship can be learned. One issue concerning this field of research is that, to date, it has not succeeded
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Statistical Analysis of Designed Experimentsinnovation, and technology research. In the face of increased complexity of empirical phenomena in these fields of research, we make the case for qualitative research methods as one valuable methodological option for researchers to gain a better understanding of complex phenomena. By unbundling the
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Models for Categorical Response Variables,s an alternative to classical models for testing hypotheses; and second, effectuation has introduced a grounded approach that envisions new theoretical elements and further theories. In this chapter, I discuss the potential effectuation has for both theory testing and theory building. I present the
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