Doctor of Organization Development & Change (D.O.D.C.), Bowling Green State University, 2022, Organization Development

The social determinants of health (SDOH) are a focus for many not-for-profit (NFP) healthcare organizations. The goal is to address the negative SDOH through different initiatives and improve the overall health of the communities that the NFP healthcare organizations serve. Many initiatives are deployed to treat the negative SDOH present in communities. The present research looked at relations between trust, trustworthiness, distrust in healthcare, awareness of the SDOH initiatives, and trust propensity. A quantitative study was performed with participants who evaluated different SDOH initiatives, perceptions of trustworthiness of healthcare organizations, trust propensity, and generalized distrust in healthcare systems. Findings indicate trust having a positive relation with awareness and a negative relation with trustworthiness, as well as perceptions of trustworthiness having a negative relation to distrust and a positive relation with trust propensity. There is also an indirect positive relation of awareness of the SDOH initiatives on trustworthiness through distrust in healthcare.

Committee: Michelle Brodke Ph.D. (Committee Chair); Farida Selim Ph.D. (Committee Member); Debra Ball Ed.D. (Committee Member); Michael Zickar Ph.D. (Committee Member) Subjects: Health Care; Health Care Management; Public Health; Social Research

Ph.D., Antioch University, 2019, Leadership and Change

This research explores an individual's self-perception of their own ability, motivation, and propensity to trust others for the purpose of validating a new construct: developmental readiness to trust others in the workplace. This construct expands research on developmental readiness to change and to lead by building a scale to measure an individual's motivation and ability to trust others in the workplace. A previously validated scale developed by Frazier, Johnson, and Fainshmidt 2013 measuring propensity to trust was included the scale building process. All items measuring motivation to trust were newly developed for this study, items measuring trust ability were adapted and based on previous trust research by Mayer and Davis 1999. This was a mixed-methods study (qual) QUAN with 6 individual interviews and 417 surveys collected via an online survey using an item response scale of 1 to 7. Respondents were solicited through professional networks and Mechanical Turk. Construct validation resulted in a two-factor model measuring ability and motivation to trust, with propensity to trust as a subcategory under the motivation factor. Exploratory and confirmatory factor analyses were conducted and evidence supported the construct's convergent and discriminant validity and reliability. This research contributes to the existing research on trust by examining an individual's capability to trust others and their motivation. Motivation included both propensity and outcome orientation to trust others prior to entering a relationship. This dissertation is available in open access at AURA: Antioch University Repository and Archive, http://aura.antioch.edu/ and OhioLINK ETD Center, https://etd.ohiolink.edu and is accompanied by an Excel file of survey data.

Committee: Laura Morgan Roberts PhD (Committee Chair); Carol Baron PhD (Committee Member); Bruce Avolio PhD (Committee Member) Subjects: Adult Education; Behavioral Psychology; Behavioral Sciences; Behaviorial Sciences; Organization Theory; Organizational Behavior

Master of Science (MS), Wright State University, 2018, Human Factors and Industrial/Organizational Psychology MS

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 in a trusting manner when interacting with automation (behavioral trust). Participants (N = 55) completed three propensity to trust in automation surveys including Propensity to Trust in Technology, an adapted version, and the Complacency-Potential Rating Scale. The Propensity to Trust in Technology scale was adapted by replacing “technology” with “automated agent” as the referent. Participants played a modified investor/dictator game, where people teamed with a NAO robot. Betting behaviors were used to measure behavioral trust. This study demonstrated that compared to generally-worded measures, more specifically-worded measures of propensity to trust automation are more reliable and better predictors of perceived trustworthiness and behavioral trust. An adapted propensity to trust technology scale was the only significant predictor of both perceived trustworthiness of the automation and the trusting behaviors of participants. By decreasing the ambiguity of the referent in the adapted propensity to trust automation scale, the reliability and predictive validity was increased.

Committee: Tamera Schneider Ph.D. (Advisor); Gary Burns Ph.D. (Committee Member); Gene Alarcon Ph.D. (Committee Member) Subjects: Personality; Personality Psychology; Psychology; Robots; Social Psychology