A Study on Intention and Behavior of Undergraduates to Use Massive Open Online Courses in Sichuan, China

Purpose: Based on COVID-19’s effect in China, this paper explores the influence of behavioral intention and behavior of undergraduates in their use of Massive Open Online Courses (MOOCs) learning in China. The research model is built upon the key constructs, including self-efficacy, perceived usefulness, perceived ease of use, attitude, behavioral intention, subjective norm, and behavior. Research design, data, and methodology: The target population includes 500 undergraduates using MOOCs. This study was conducted using a quantitative method, using a questionnaire. The sampling techniques are judgmental, convenience, and snowball sampling. The content validity was verified by the item-objective congruence (IOC) index, and the reliability test was employed by Cronbach alpha through a pilot test (n=50). In addition, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were analyzed. Results: Self-efficacy has a significant impact on perceived ease of use. Perceived usefulness and perceived ease of use significantly impact attitude. Attitude and subjective norms significantly impact behavioral intention toward behavior. Nevertheless, this study found a non-supported relationship between self-efficacy, perceived usefulness, and perceived ease of use. Conclusions: The findings recognize that most learners are concerned with MOOCs’ efficiency, costless, convenience, and openness, and this has also attracted special attention from educational theorists and academic

The Investigation on First-Year Students’ Use Behavior of Online Learning System or “Rain Classroom” in Chengdu, China

Purpose: “Rain classroom” is a smart teaching tool jointly developed by Xuetang and Tsinghua University Online Education Office. This study aims to investigate first-year students’ behavior intention and use behavior using the online learning system of Rain Classroom in Chengdu, China. The conceptual framework contains perceived usefulness, self-efficacy, attitude, subjective norms, effort expectancy, behavioral intention, and use behavior. Research design, data, and methodology: The study was conducted quantitatively by distributing questionnaires to 500 participants. The data were primarily tested for content validity and constructs’ reliability in The Item-Objective Congruence (IOC) and pilot test (n=50) of Cronbach’s Alpha. The sampling procedure involves judgmental, stratified random, and convenience sampling. The data was analyzed through Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: The results show that perceived usefulness and subjective norms significantly influence attitude. Furthermore, self-efficacy, attitude, subjective norms, and effort expectancy significantly influence behavioral intention. Behavioral intention and use behavior are also significantly related. Nevertheless, non-support relationships exist between self-efficacy and attitude, and effort expectancy and use behavior. Conclusions: The application of rain classrooms can be enhanced by promoting its benefits and how such a system can optimize students’ learning efficiency

The Adoption of the “Rain Classroom” Online Learning System among Sophomores in Chengdu, China

Purpose: This study aims to examine the second-year students’ behavior intention and use behavior towards Rain Classroom online learning system in Chengdu, China. The major variables are used to develop a conceptual framework which are contains perceived usefulness, self-efficacy, attitude, subjective norms, effort expectancy, behavioral intention, and use behavior. Research design, data, and methodology: The quantitative study applied the questionnaire as a tool to collect the data from 500 students in selected three collages in Chengdu. The data were prior approved for content validity and constructs’ reliability in The Item-Objective Congruence (IOC) and pilot test (n=50) of Cronbach’s Alpha. The sampling techniques used are judgmental, stratified random, and convenience sampling. The data was analyzed through Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: The results show most of hypotheses were supported, excepted the relationship between effort expectancy and use behavior. The support relationships are that perceived usefulness, self-efficacy and subjective norms significantly influence attitude. Additionally, self-efficacy, attitude, subjective norms, and effort expectancy significantly influence behavioral intention. Behavioral intention and use behavior are also significantly related. Conclusions: Rain Classroom can provide online learning to achieve a seamless connection between online and offline learning, which can be endorsed by the successful adoption of students in China

Behavioral Intention of Male Students to Use 5G Internet Network to Use Online Education Platforms in Sichuan, China

Purpose: This study explores the factors influencing male students’ behavioral intention to use 5G internet network to use online education platforms in Sichuan, China. The conceptual framework is based on the relationships between a perceived ease of use, system quality, information quality, service quality, attitude, social influence, perceived usefulness and behavioral intention. Research design, data, and methodology: This study used a questionnaire; the target respondents were 650 male university students from three universities in Sichuan. Results: The results of the study showed that attitude was the strongest predictor of behavioral intention to use, followed by social influence and perceived usefulness. Perceived ease of use was the most significant influence on attitude, so the system's ease of use would increase positive feedback from learners to make learning effective. Conclusions: Therefore, in the process of selecting and using 5G for online education platforms at the University, it is important to try to generate as much interest in learning as possible, to increase the quality of the system, the quality of the service, and the quality of the information, to improve the ease of use and to create a positive experience so that male students will be better able to use the platform system for continuous learning

Greening the Personal Internet Use: Findings from a literature review

Research addressing the greening of internet user behaviors at hedonic and utilitarian levels is scarce. To identify dimensions, scales and strong relationships arising from motivation, we reviewed a sample of research articles related to the personal green IT context. We used Self-determination theory as the theoretical framework to categorize factors into different motivation dimensions. A qualitative literature review analyzes five pair-wise associations between motivation constructs of the theory and green IT use. This work builds on the prior research related to environmental motivation by summarizing the measures applied to the evaluation of personal green IT behaviors and by examining the relationships broadly defined in the Self-determination theory, distinguishing between hedonic and utilitarian green IT use

Factors Influencing Small Construction Businesses from Implementing Information Security: A Case Study

This qualitative study described the influence of small businesses’ failure to properly implement information security technologies resulting in the loss of sensitive and proprietary business information. A collective case study approach was used to determine the most effective way to gain a holistic picture of how small construction businesses make security technology implementation decisions to support their workforce. The theory guiding this study was the Unified Theory of Acceptance and Use of Technology (UTAUT) model which is related to the Theory of Planned Behavior and the Technology Acceptance Model which helped explain the intentions of individuals to use information systems. Security policies and threats (insider and cyber) were also looked at during this study. Data collection methods included questionnaires, interviews, document reviews, journaling, and webpage scans to provide insight into security information technology use. The results of this study indicated small construction businesses rely heavily on third-party information technology venders to perform security functions. This security model has led to several of the businesses experiencing cyber security incidents and the businesses being more reactive in responding to cyber-attacks. Deficiencies with planning for system implementations also impacted how employees thought and used the businesses’ security information systems. The study’s results indicated employee’s behavior intention and use behavior was highly impacted by the age moderator with older employees more likely to display a lower behavior intention and use behavior for using systems

The Relationship Between Technology Adoption Determinants and the Intention to Use Software-Defined Networking

AbstractThe advent of distributed cloud computing and the exponential growth and demands of the internet of things and big data have strained traditional network technologies\u27 capabilities and have given rise to software-defined networking\u27s (SDN\u27s) revolutionary approach. Some information technology (IT) cloud services leaders who do not intend to adopt SDN technology may be unable to meet increasing performance and flexibility demands and may risk financial loss compared to those who adopt SDN technology. Grounded in the unified theory of acceptance and use of technology (UTAUT), the purpose of this quantitative correlational study was to examine the relationship between IT cloud system integrators\u27 perceptions of performance expectancy, effort expectancy, social influence, facilitating conditions, and their intention to use SDN technology. The participants (n = 167) were cloud system integrators who were at least 18 years old with a minimum of three months\u27 experience and used SDN technology in the United States. Data were collected using the UTAUT authors\u27 validated survey instrument. The multiple regression findings were significant, F(4, 162) = 40.44, p \u3c .001, R2 = .50. In the final model, social influence (ß = .236, t = 2.662, p \u3c .01) and facilitating conditions (ß = .327, t = 5.018, p \u3c .001) were statistically significant; performance expectancy and effort expectancy were not statistically significant. A recommendation is for IT managers to champion SDN adoption by ensuring the availability of support resources and promoting its use in the organization\u27s goals. The implications for positive social change include the potential to enhance cloud security, quality of experience, and improved reliability, strengthening safety control systems

Strategies Used by IT Project Managers to Integrate ICTs in the Eastern Caribbean

Current practices used to guide information and communication technology (ICT) projects in the Caribbean and developing countries lead to high project failure rates. Project managers must adopt new innovative approaches for transformation towards a 21st-century information society and sustainable digital economies. Grounded in the technology acceptance model (TAM), the purpose of this qualitative multiple-case study was to explore strategies information technology (IT) project managers use to implement IT frameworks designed to guide Caribbean ICT integration. Data were collected from face to face interviews and company documents and analyzed using coding, thematic analysis, and methodological triangulation. The participants were 12 IT project managers in 2 Eastern Caribbean countries. Thematic analysis was used to analyze, report patterns, and to identify emerging themes in the data. The themes that emerged were (1) management of organizational structure, (2) implementing a government wide area network to facilitate the innovations of an ICT-enabled services industry, business, and education, and (3) ICT integration budget, buy-in, and challenges. A key recommendation is that IT project managers develop an IT implementation framework that aligns with an IT project management methodology by incorporating project management body of knowledge remedial measures to achieve defined project objectives. The implications for positive social change include the potential to share knowledge and dramatically lower barriers to starting a business, creating e-commerce, innovation, and online e-learning opportunities for empowering citizens and improving their socio-economic position