000			01573pab a2200205 454500
008			180718b2017 xxu||||| |||| 00| 0 eng d
100			_aSiciliano, Michael D.
245			_aProfessional networks and street-level performance: how public school teachers' advice networks influence student performance
260			_c2017
300			_ap.79-101.
362			_aJan
520			_aGiven the complexity of their work, street-level bureaucrats rely on their professional networks to access implementation resources and information. Despite the acknowledged importance of these networks, little research exists on how network structure and composition influence frontline performance. This study analyzes a unique data set that includes the professional networks of more than 420 teachers in 21 public schools along with 3 years of administrative data on student test scores and student demographics. Using value-added models derived from the student test data, objective measures of teacher performance were calculated. The results suggest that street-level performance is influenced by both network structure and composition. Thus, the actions of street-level workers are not independent responses to individual dilemmas, but rather are developed and shaped by specific features of the social structure in which the individual bureaucrat is embedded.
650			_aKnowledge management
650			_aPerformance appraisal
650			_aStudents
650			_aSchools
650			_aTeachers
773			_aAmerican Review of Public Administration
909			_a114223
999			_c114217 _d114217