The study aimed to explore whether cultural dimensions [horizontal individualism (H-I), vertical individualism (V-I), horizontal collectivism (H-C), and vertical collectivism (V-C)] and gender identity predict academic dishonesty tendencies (cheating, copying, collusion) in higher education learners. Using a quantitative approach, participants…

Addressing working conditions in higher education is crucial to retaining student affairs professionals. This study explores the current state of working conditions in the field and the influence working conditions have on professionals' turnover intentions. Perceptions of psychological contract fulfillment is a factor that can interact with…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

Mergers among public HEI's in the United States are occurring with regular frequency, but with little research to understand the impact that mergers have on value outcomes at the micro, meso, and macro level. Previous research suggests that there needs to be a more robust way of assessing merger outcomes both quantitatively and longitudinally…

The purpose of this quantitative, correlational-predictive study was to examine if and to what extent the organizational culture trait of involvement (OC-I) predicted authentic leadership behaviors among leaders in higher education in the United States. The theoretical foundation to support the variables and the relationships between them included…

Unethical behavior within organizations results in a financial burden and damage to the organization's reputation. The literature clearly documents the effects of unethical pro-organizational (UPB) behavior in corporate business, but few studies explore this phenomenon in higher education. This non-experimental, cross-sectional survey investigated…

The purpose of this quantitative correlational-predictive study is to examine if and to what extent performance expectancy, effort expectancy, attitude toward using technology, social influence, facilitating conditions, self-efficacy, and anxiety, individually and combined, predict the behavioral intention of U.S. higher education student services…

College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…

The purpose of this study is to assess whether there is a relationship between neighborhood inequality in which underrepresented minorities (URMs) with STEM degrees reside and their employment in STEM fields. The current study deploys an Intersectional Theory (IT) research framework and Bourdieu's Theory of Practice to identify the influence of…

In 2021, there were 68.9 million job separations. Of those, 47.4 million people willingly left their jobs (Romans, 2022). As the "Great Resignation" in the COVID-19 era continues, many professional staff in higher education are re-examining their relationship with work (McClure, 2021). Higher education professional staff, often feeling…

The purpose of the current quantitative predictive correlational study was to determine if and to what extent supervisor support, peer support, personal outcomes, and institution type (private or public) predicted the interest to transfer training in full-time employees in higher education in the United States. The study was built upon Blau's…

Higher education institutions face heightened accountability for student success. As such, higher education relies heavily on big data to predict student outcomes. This process is problematic because predictive models are developed on historical data, are deficit based, and are focused on student factors, neglecting institutional factors. The…

This study aimed to assess the effectiveness of existing insolvency predictive models employed for non-profit Higher Education Institutions (HEIs) and test a proposed predictive model utilizing statistical and ratio analysis by comparing HEIs in operations with those that closed from 2017 to 2020. The researcher incorporated a non-experimental,…

Researchers have discussed the crucial effect that information technology (IT) personnel have in a variety of industries. However, a knowledge gap exists in analyzing the effect that interactions between higher education IT personnel and their customers (learners, faculty, and staff) have on the ability to learn, teach, and achieve. The current…

The purpose of this correlational, quantitative research study was to examine Title IX coordinators' perceived organizational support and job satisfaction based on their perceptions of their immediate supervisor's ethical leadership behaviors. Additionally, the study examined the moderation effect of perceived organizational support on the…