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Full-Text Articles in Social and Behavioral Sciences
Measurement Of The Propensity To Trust Automation, Sarah Ann Jessup
Measurement Of The Propensity To Trust Automation, Sarah Ann Jessup
Browse all Theses and Dissertations
Few studies have examined how propensity to trust in automation influences trust behaviors, those which indicate users are relying on automation. Of the published studies, there are inconsistencies in how propensity to trust automation is conceptualized and thus measured. Research on attitudes and intentions has discerned that reliability and validity of measures can be increased by using more direct and specific language, which reduces ambiguity and increases the ability to predict behavior. This study examined how traditional measures of propensity to trust automation could be adapted to predict whether automation is deemed as trustworthy (perceived trustworthiness) and whether people behave …
Testing A Model Of Servant Leadership's Influence On Follower Outcomes: Exploring Mediation Effects Of Follower Trust And Prosocial Identity, Dante P. Myers
Testing A Model Of Servant Leadership's Influence On Follower Outcomes: Exploring Mediation Effects Of Follower Trust And Prosocial Identity, Dante P. Myers
Psychology Theses & Dissertations
Servant leadership is beginning to emerge as a premier positive leadership approach in the 21st century. However, recent theoretical propositions detailing the process through which servant leadership impacts outcomes has not been tested. Using the JD-R framework, the present study investigates follower prosocial identity and follower trust as key mediators of the relationship between servant leadership and follower job satisfaction, organizational commitment, organizational citizenship behaviors, community citizenship behaviors, and turnover intentions. Research participants included 578 working adults recruited from Amazon’s Mechanical Turk (MTurk) that responded to three surveys separated by approximately one month each. The hypothesized model was tested using …