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      Scientist or Entrepreneur? Identity centrality, university entrepreneurial mission, and academic entrepreneurial intention

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          Abstract

          The purpose of this study is to examine the relationship between identity centrality and entrepreneurial intention. Based on a survey of 275 academic scientists from 14 Chinese universities, the results show that entrepreneurial identity centrality positively influences the intention to engage in research commercialisation activities, such as spin-off creation, patenting and licensing, contracting research and consulting. We also found that the conflict between entrepreneurial and scientific identity centrality is less problematic than expected in the literature. In fact, the interaction between both identity centralities strengthens academics scientists’ intention to involve in academic entrepreneurship. Concerning the influence of institutional factor on academic entrepreneurship, the finding confirms that university entrepreneurial mission moderates the relationship between both identity centralities and the intention to establish spin-offs. Finally, this paper provides insights for academic entrepreneurship in China and practical recommendation for policy makers.

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          Most cited references81

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          The theory of planned behavior

          Icek Ajzen (1991)
          Organizational Behavior and Human Decision Processes, 50(2), 179-211
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              • Record: found
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              • Article: not found

              Sources of method bias in social science research and recommendations on how to control it.

              Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms "method" and "method bias" and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                The Journal of Technology Transfer
                J Technol Transf
                Springer Science and Business Media LLC
                0892-9912
                1573-7047
                February 2022
                January 27 2021
                February 2022
                : 47
                : 1
                : 119-146
                Article
                10.1007/s10961-021-09845-6
                e9fae65f-b59c-4ea3-90b1-53efdf925b09
                © 2022

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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