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Alumni Surveys as a Data Collection Methodology

Authors: Charles E. Eesley;

Alumni Surveys as a Data Collection Methodology

Abstract

The use of alumni surveys as a data collection methodology for empirical studies of innovation and entrepreneurship is a relatively recent phenomenon. Since limitations of data access have traditionally been a key bottleneck in the progress of systematically understanding the process of the commercialization of new ideas through entrepreneurial firms, it is worthwhile to consider the advantages and disadvantages of this method. By way of introduction, this chapter will first discuss the few existing alumni surveys that have been used to yield insights into entrepreneurship. Through these examples the types of questions that an alumni survey is well suited to answer become more clear. The following section will use these examples, along with the author’s own experience with the Massachusetts Institute of Technology (MIT) alumni survey dataset and in designing and executing the first alumni survey overseas, at Tsinghua University (Beijing, China), to discuss the advantages and disadvantages of the alumni survey methodology.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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