Preferred Name

Tatjana Titareva

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

ORCID

https://orcid.org/0009-0007-9586-3018.

Date of Graduation

5-9-2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

School of Strategic Leadership Studies

Advisor(s)

Benjamin S. Selznick

Adam J. Vanhove

Paul E. Mabrey

Abstract

The purpose of this study was to test quantitatively the potential influence of Technology Leadership (TL) in Higher Education (HE) and Technophobia on Intention to Use AI-based Early Alert Systems (EAS) at higher education institutions (HEIs) by faculty and administrative staff. This research was conducted collecting and analyzing data from a mid-size higher education institution (HEI) in southeast of the Unites States. The measurement instrument used previously validated measures of Technophobia, TL in HE and Intention to Use Technology. From statistically significant findings, though of weak strength, the results showed that an individual's role in HEI (faculty vs. administrative staff), modestly but significantly positively correlates with all five sub-scales of TL in HE. Contrary, the level of terminal degree obtained showed a negative, yet also weak, statistically significant relationship with the TL in HE sub-scales. The findings also suggest that exists a potential difference in how individuals with STEM degrees and those with non-STEM degrees might differently perceive the intention to use AI tool of EAS at HEIs. However, the relationship was also weak. The practical finding of this study is the positive statistically significant effect of Empowering Leadership sub-scale of TL in HE suggesting that leaders who foster empowerment within their teams are likely to see a higher intention to use AI tool of EAS at HEIs. This study contribution was an attempt to develop a model tailoring to AI tools still in their early adoption phase, where many potential adopters may not know about its essence and functionalities. This task appeared to be challenging and requires further theory and methodology building in future research.

Available for download on Tuesday, April 08, 2025

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