Frontiers of Entrepreneurship Research
1997 Edition

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TECHNOLOGY STRATEGIES FOR GROWTH AND INNOVATION: A STUDY OF BIOTECHNOLOGY VENTURES

Riitta Katila, The University of Texas at Austin

INTRODUCTION
THEORETICAL BACKGROUND

    Resource–Based View And Cooperative Relationships
    Industrial Organization Perspective And Incumbent–Entrant Collaboration

HYPOTHESES

    Innovative Output
    Start–up Growth

METHODS

    Sample
    Measures
    TABLE 1:  Summary Statistics and Correlations

RESULTS

TABLE 2:  Results Of Regression Analysis. Number Of Patents As The Dependent Variable. Unstandardized Regression Coefficients Reported; Standard Errors Shown In Parentheses.
TABLE 3:  Results Of Regression Analysis. Citation Per Patent As The Dependent Variable. Unstandardized Regression Coefficients Reported; Standard Errors Shown In Parentheses.

DISCUSSION AND CONCLUSION

TABLE 4:  Results Of Regression Analysis. Firm Growth As The Dependent Variable. Unstandardized Regression Coefficients Reported; Standard Errors Shown In Parentheses.

REFERENCES

ABSTRACT

Despite the large number of entrepreneurial companies involved in cooperative networks in high–technology industries, there is relatively little work on how R&D collaboration affects start–up company outcomes. This study focuses on the effect of technology partner selection and relationship arrangements on young firm growth and innovative performance. Statistical results on a sample of 103 new biotechnology companies show that technological collaboration has contradictory effects: while the number of partners and their average industry tenure is positively related with start–up growth and total innovative output, we find that collaboration may become a liability for radical innovation. These results have practical implications for R&D partner selection in entrepreneurial companies. 1

1 Special thanks to Gautam Ahuja and Risto Miikkulainen for their comments on the earlier version of
  this paper.

 

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