The UTC Graduate School is pleased to announce that Donald Behneman will present Doctoral research titled, EXAMINING THE ADOPTION OF DIGITAL TRANSFORMATION INITIATIVES IN HIGHER EDUCATION INSTITUTIONS: A MIXED-METHODS INVESTIGATION OF EMPLOYEE PERCEPTIONS AND DECISION-MAKING PROCESSES on 10/11/2024 at 12:30 pm ET in Zoom Meeting ID: https://tennessee.zoom.us/j/89702601565. Everyone is invited to attend.
Learning and Leadership
Chair: Dr. David W. Rausch
Co-Chair:
Abstract:
Digital transformation refers to the strategic integration of innovative technologies, which include mobile devices, artificial intelligence, and cloud computing, to name a few. These digital technologies weave into business processes to drastically enhance and ultimately improve the customer experience, optimize operational efficiency, or forge new revenue streams (Beach, 2021). This mixed-methods study investigated the dynamics of digital transformation in higher education from the perspective of information technology professionals. There were four primary research questions: • Research Question 1 (RQ1): Does one or more demographic factor predict an employee’s level of decision-making in higher education as it relates to digital transformation? • Research Question 2 (RQ1): What is the relationship between perceived organizational support and the decision-making process in higher education as it relates to digital transformation? • Research Question 3 (RQ1): What themes contribute to an employee’s negative or positive perceptions of their organization’s capacity for digital transformation? • Research Question 4 (RQ1): What challenges contribute to an organization’s agency for digital transformation initiatives? The quantitative portion of the study leveraged a survey instrument to collect data in five areas: demographics, general experience with digital transformation, sentiment and decision-making, work environment, and digital transformation efforts. Regression analysis determined a model of combined demographic information had no significance in predicting digital transformation decision-making, except with job roles. In addition, a Pearson’s correlation was performed between perceived support and digital transformation decision-making, resulting in a positive correlation between the two. Interviews were performed and analyzed through coding and categorizing, and they were evaluated for emergent themes. These findings highlighted the importance of administrators understanding and acknowledging the complexities of digital transformation by establishing supportive frameworks that empower IT professionals and non-IT staff across the organization. Potential recommendations include establishing funding specific for digital transformation, fostering a culture of collaboration, and promoting adaptability across the institution.