The influence of red tape on bureaucratic behavior: An experimental simulation

Understanding how certain organizational and individual attributes shape responses to red tape is an area that has received little research attention. This study uses an experimental simulation to address these questions. It examines the effect of red tape upon the propensity to provide assistance to clients in a simulated public assistance agency. The findings showed that increasing levels of red tape produce in a corresponding reduction in benefits provided to clients, but that this relationship is strongly moderated by the respondent's perceptions of clients. Clients perceived as more sympathetic consistently received higher levels of benefits than those perceived as less sympathetic. Education and professional training also played a role in influencing award decisions. © 2000 by the Association for Public Policy Analysis and Management.     

Promoting State-of-the-Art Methods in Public Management Research

The field of public management is methodologically underdeveloped as compared to other disciplines. In order to derive the fullest benefits of methodological advancements, the field needs to invest in discussing and deliberating over the state of the art in methodological advances. Using state-of-the-art methods helps to produce knowledge that is useful for scholars and practitioners. This symposium aims to add to and improve the methodological toolkit available to public management scholars. We distinguish three categories that could strengthen the methodological toolkit: underutilized methods (such as ethnography), innovations in current methods (such as the synthetic control method for comparative case studies), and novel methods (such as natural language processing for content analysis). We hope that this symposium encourages scholars to seek for novel and improved methods to produce research that lives up to scientific scrutiny and is valuable for practitioners.     

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

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.