Complexity of Textual Data in Entrepreneurship and Innovation Research

Beth-Anne Schuelke-Leech () and Betsy L. Barry ()
Additional contact information
Beth-Anne Schuelke-Leech: The Ohio State University
Betsy L. Barry: BDataSmart

A chapter in Complexity in Entrepreneurship, Innovation and Technology Research, 2016, pp 459-480 from Springer

Abstract: Abstract Innovation and Entrepreneurship are complex activities. They are also primarily language and relationship based. That is, it is largely through verbal communications (speech and text) that ideas are developed and business transacted. New methods are arising which are changing the way that we understand and can investigate innovation and entrepreneurship. Big Data Analytics allow researchers to uncover relationships and meaning in text documents, using a mix of quantitative and qualitative methods. This chapter shows that the complexity issues in innovation and entrepreneurship research with text comes from three sources. The first form of complexity is technical complexity. The second source of complexity is from language itself. The third source of complexity is in the concept itself. Each of these is discussed in detail. Complexity can either be addressed by simplifying the data or finding a mechanism for dealing with the complexity. A method of text data analytics using Corpus and Computational Linguistics deals with the complexity without eliminating data, allowing for a more nuanced investigation of innovation and entrepreneurship. The methodology is demonstrated by investigating how technological innovation and entrepreneurship are discussed in the United States Congress, using a corpus from 1981 to 2014.

Keywords: Big data; Linguistics; Text analytics; Unstructured data (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:fgfchp:978-3-319-27108-8_22

Ordering information: This item can be ordered from
http://www.springer.com/9783319271088

DOI: 10.1007/978-3-319-27108-8_22

Access Statistics for this chapter

More chapters in FGF Studies in Small Business and Entrepreneurship from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().