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Bang, Won Seok; Hoan, Wee Kuk; Park, Ju Young; Reddy, Nagireddy gari Subba – SAGE Open, 2022
This present work uses artificial neural networks (ANNs) to examine the association between various dimensions of coaching leadership and turnover Intention. The coaching leadership data were collected from 194 employees across multiple schools in Korea. The ANN models are capable of higher predictive accuracy than conventional linear regression…
Descriptors: Coaching (Performance), Leadership, Faculty Mobility, Foreign Countries
Zhou, Liqiu; Xue, Sijia; Li, Ruiqian – SAGE Open, 2022
While online education has been increasingly adopted in different educational systems across the world, it is still a recent phenomenon in developing countries such as China. Various factors could affect learners' adoption of technology, including their online learning. In this study, we took the Technology Acceptance Model as the theoretical…
Descriptors: Online Courses, Integrated Learning Systems, Technology Integration, Intention
Mensah, Isaac Kofi; Zeng, Guohua; Luo, Chuanyong; Xiao, Zhiwu; Lu, Mengqiu – SAGE Open, 2021
The development and promotion of entrepreneurial behavior is an important ingredient in developing entrepreneurship ventures. This study examined the factors influencing college students' intention to engage in entrepreneurial activities. Applying the Theory of Planned Behavior as the theoretical foundation the structural equation modeling…
Descriptors: Predictor Variables, Graduate Students, Undergraduate Students, Student Attitudes
Wan, Liyong; Xie, Shoumei; Shu, Ai – SAGE Open, 2020
This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task-technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students' continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464…
Descriptors: Foreign Countries, College Students, Student Attitudes, Large Group Instruction
Yu, Chen-Wei; Chao, Cheng-Min; Chang, Che-Fu; Chen, Rueg-Juen; Chen, Po-Chung; Liu, Yi-Xuan – SAGE Open, 2021
This study developed and empirically tested a model to predict the factors affecting patients' behavioral intentions to use a mobile health education website. It explored the behavioral intention to use a mobile health education website from the perspective of consumers by extending the Unified Theory of Acceptance and Use of Technology 2 model…
Descriptors: Intention, Web Sites, Usability, Users (Information)
Moura, Ivanildo Viana; de Almeida, Lauro Brito; da Silva, Wesley Vieira; da Veiga, Claudimar Pereira; Costa, Flaviano – SAGE Open, 2020
The aim of this article is to investigate the influence relationships between factors of an extended model of TAM (Technology Acceptance Model) and the behavioral intention of professors for the acceptance and use of information and communications technology (ICT) in work environment. The model used in this research includes, besides the original…
Descriptors: Predictor Variables, Intention, Technology Integration, Work Environment
Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction
Zhou, Sijing; Zhou, Yu; Zhu, Huiling – SAGE Open, 2021
A growing concern for online course learning is to what extent learners are concentrated and self-regulated when they are isolated from their classmates and instructors. To address this issue, this study collected both quantitative and qualitative data from a sample of 580 Chinese university learners from varied majors, who were taking online…
Descriptors: Predictor Variables, Undergraduate Students, Intention, Adoption (Ideas)
Richards, Keith – SAGE Open, 2016
The study set out to investigate what influences the intentions of college students to get vaccinated against genital human papillomavirus (HPV). College men and women were surveyed to understand their intentions. Regression was used and supported that the constructs of the health belief model (HBM) as well as gender, norms, and information…
Descriptors: College Students, Student Attitudes, Intention, Immunization Programs