This study examines factors impacting ethical behavior of 203 hospital employees in Midwestern and Northwestern United States. Ethical behavior of peers had the most significant impact on ethical behavior. Ethical behavior of successful managers, professional education in ethics and sex of the respondents also significantly impacted ethical behavior. Nurses were significantly more ethical than other employees. Race of the respondent did not impact ethical behavior. Overclaiming scales indicated that social desirability bias did not significantly impact the results of our study. (...) Implications of this study for researchers and practitioners are discussed. (shrink)

This study explores if managerial dependencies and organizational independence impact ethical behavior of employees. Survey data was collected from 203 employees working for three hospitals in Midwestern and Northwestern United States. Managerial dependencies like specialized expertise, political connections, and performance visibility significantly impacted ethical behavior. Organizational independence and ethical behavior of peers also had a significant impact on ethical behavior. Implications of this study for researchers and practitioners are discussed.

We present an implementation of a discourse parsing system for alexicalized Tree-Adjoining Grammar for discourse, specifying the integrationof sentence and discourse level processing. Our system is based on theassumption that the compositional aspects of semantics at thediscourse level parallel those at the sentence level. This coupling isachieved by factoring away inferential semantics and anaphoric features ofdiscourse connectives. Computationally, this parallelism is achievedbecause both the sentence and discourse grammar are LTAG-based and the sameparser works at both levels. The approach to an (...) LTAG for discourse has beendeveloped by Webber and colleagues in some recent papers. Our system takes a discourseas input, parses the sentences individually, extracts the basic discourseconstituent units from the sentence derivations, and reparses the discoursewith reference to the discourse grammar while using the same parser usedat the sentence level. (shrink)