Measuring Innovativeness of Public Organizations: Using Natural Language Processing Techniques in Computer-Aided Textual Analysis

Sheela Pandey, Sanjay K. Pandey, Larry Miller

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We propose a new method for measuring innovativeness in the public sector using natural language processing techniques. Our approach extends traditional content analysis techniques by combining insights from linguistic theory and recent developments in computational techniques. We develop and employ phrase-level data dictionaries (using both noun phrases and verb phrases) from organizational documents. We use letters to the board of education from a sample of New Jersey school districts to develop measures of innovativeness—one measure is based on expert assessments and the other is inductively derived. We perform rigorous tests of content validity, external validity, and predictive validity on these measures. We conclude with a discussion of implications of this new measurement approach and its potential applications to other public management contexts.

Original languageEnglish (US)
Pages (from-to)78-107
Number of pages30
JournalInternational Public Management Journal
Volume20
Issue number1
DOIs
StatePublished - Jan 2 2017

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Public Administration

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