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The Future of Work and the Impact of Automation on Jobs in Gig Economy in Thailand: A Review of Literature
Get PDFPurpose: This article aims to analyze the diverse factors that exert a substantial impact on Thailand's gig economy. The factors encompassed in this discussion comprise the potential ramifications of automation, the emergence of novel employment prospects, and the significance of education, labor, and collaboration between industry and academia. Methodology: The authors systematically organized the data to identify patterns, with an emphasis on automation, job creation, and education-industry collaboration. The authors investigated the potential impact of automation on the gig economy, the possibility of job displacement and the need for workers to develop new skills, as well as the chance of new employment opportunities in emerging industries and sectors that require human skills and creativity. Major findings: Patterns and trends indicate that automation influences Thailand's freelance economy. Due to its inherent flexibility and independence, an increasing number of people are opting for contract work. In addition, success in this discipline requires self-motivation, creativity, problem-solving, and evaluation skills. Workers and human resource administrators are able to effectively manage the numerous opportunities and challenges presented due to their proactive adaptation. This procedure optimizes efficiency and cost savings, which in turn drives the expansion of automation. Despite the fact that technology and automation may appear to eliminate occupations, gig laborers still require human skills and self-motivation
The Examination on Satisfaction and Behavioral Intention of Natural Science Majors Students Toward E-learning in Sichuan, China
Get PDFPurpose: This paper mainly studies the factors impacting natural science majors’ satisfaction and behavioral intention to adopt electronic learning (E-learning) at a public university in Sichuan, China. A conceptual framework was built upon the relationship between system quality, satisfaction, performance expectancy, effort expectancy, social influence, attitude, and behavioral intention. Research design, data, and methodology: The sample is 500 natural science major’s undergraduates from a public university in Sichuan Province. Non-probability samplings include purposive sampling, quota sampling, and convenient sampling. The validity and reliability test were employed before the data collection, approved by the item-objective congruence (IOC) index Cronbach’s Alpha coefficient values of the pilot test. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: Research shows that all hypotheses were consistent with the research objectives. System quality, performance expectancy, effort expectancy, social influence, and attitude significantly impact behavioral intention. Satisfaction has the strongest impact on natural science major students’ behavioral intention to use E-learning Conclusions: Based on the findings, higher education decision-makers and policymakers focus on enhancing student satisfaction with e-learning by strengthening the IT infrastructure and their ability to sustain remote learning services
Identifying Factors of Female Students’ Behavioral Intention to use 5G for Online Education in Sichuan, China
Get PDFPurpose: The rapid development of higher education in China realizes the importance of 5G in smart education. Hence, this study examines the factors that influence the behavioral intention of female students in Sichuan universities to use the 5G for online education platform. Seven variables and eight hypotheses are constructed regarding previous research, including perceived ease of use, system quality, information quality, service quality, attitude, social influence, perceived usefulness and behavioral intention. Research design, data, and methodology: The quantitative study was conducted by distributing a questionnaire to 560 female university students from three universities in Sichuan. Confirmatory factor analysis and structural equation model were applied for data analysis and results. Results: The results showed that attitude was the strongest predictor of behavioral change he strongest predictor of behavioral intention to use followed by social influence and perceived usefulness. Compared to perceived usefulness, the perceived ease of use had the strongest effect on attitude. Conclusions: The findings of this paper contribute to better understanding of 5G for online education developers, marketers, senior managers in higher education institutions, or related practitioners. Therefore, choice and use and ease of use at university would increase positive feedback and enable students to use the platform system for ongoing learning
Factor Analysis of Satisfaction and Continuance Intention to Use Online Payment Among University Students in Chengdu, China
Get PDFPurpose: This paper aims to explore satisfaction and continuance intention to use online payment among university Students in Chengdu, China. The researcher applied quantitative survey research methods. The Technology Acceptance Model (TAM), Information Systems Success Model (ISSM), and Expectation Confirmation Theory (ECT) are used to construct the conceptual framework of the research, including service quality, privacy, confirmation, perceived usefulness, perceived security, satisfaction, and continuance intention. Research design, data, and methodology: The validity of the research tool was evaluated by the Item Objective Congruence (IOC) Index, and the Cronbach alpha coefficient in a pilot test evaluated the internal consistency reliability. In addition, the sampling techniques are judgmental, quota and convenience sampling. The questionnaire was distributed to 500 students using online payment in target universities, analyzed by confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: All hypotheses were supported in which the service quality had the strongest on satisfaction. Satisfaction has a direct impact on continuance intention. Conclusions: To improve students’ satisfaction with online payment and their willingness to continue using it, it is necessary to improve the service quality and strengthen the protection of users’ privacy on online payment platforms. Managers should pay special attention to the security of user information
Exploring The Guardians’ Point of Views on Their Children’ Satisfaction and Behavioral Intention to Learn with Cartoon Animation in Sichuan, China
Get PDFPurpose: This study aims to explore the guardians’ point of view on their children’s satisfaction and behavioral intention of cartoon animation in Sichuan, China. The research model was constructed to identify causal relationships between information quality, service quality, perceived usefulness, negative economic impacts, negative sociocultural, satisfaction, and behavioral intentions. Research design, data, and methodology: This study applied a quantitative method by distributing questionnaires to 500 guardians whose children are between grades 1 to 4 and engage with animation in a primary school. The sampling techniques involve judgmental and convenience sampling. Before the data collection, Item Objective Congruence (IOC) Index and the pilot test (n=50) with Cronbach’s Alpha were used. Data were analyzed through confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The hypotheses testing was measured with a p-value<0.05. The results were that five out of six hypotheses were supported. Service quality significantly influences perceived usefulness. Perceived usefulness, negative economic impact, and negative sociocultural significantly influence satisfaction. Satisfaction significantly influences behavioral intentions. On the contrary, information quality has no significant influence on perceived usefulness. Conclusions: Animation developers, teachers, and school managers should improve high-quality cartoon animation and related tools to enhance children’s education
Factors Impacting Satisfaction with Blended Learning Among Private College Students in Mianyang, China
Get PDFPurpose: This research aimed to examine the factors of task technology fit, confirmation, cognitive presence, teaching presence, social presence, and learner-instructors interaction to impact blended learning satisfaction for two private college students in Mianyang, China. The research population targets undergraduates who majored in art and design subjects. Research design and methodology: This research applied the quantitative method and questionnaire as instruments. Before distributing the questionnaires, Item-Objective Congruence (IOC) and a pilot test of Cronbach’s Alpha were used to test validity and reliability. Data was analyzed by utilizing Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to validate the model’s goodness of fit and confirm the causal relationship among variables for hypothesis testing. This research surveyed 500 students through an online survey and tested the hypotheses. Results: Cognitive presence has a significant impact on social presence and satisfaction. Teaching presence has a strong impact on cognitive presence and no significant impact on satisfaction. Learner-instructor interaction has a significant impact on satisfaction. Confirmation and social presence have no impact on satisfaction. Conclusions: College managers should improve the IT system to fit learning tasks and help teachers to raise their abilities to enhance teaching effectiveness. Students should obtain more training to improve their cognitive abilities using various approache
Understanding Behavioral Intentions and Use Behavior of Students Towards Online Learning Systems in Jiangxi, China
Get PDFPurpose: This research paper aims to investigate the factors impacting behavioral intentions and use behavior of students in vocational collages towards online learning systems in Jiangxi, China. The conceptual framework proposed a causal relationship among perceived usefulness, perceived ease of use, attitude, perceived behavioral control, social influence, behavioral intentions, and use behavior. Research design, data, and methodology: The researcher used a quantitative method (n=500) to distribute questionnaires to students. The nonprobability sampling includes judgmental sampling in selecting five vocational colleges, quota sampling in proportion of sample size, and convenience sampling in collecting data and distributing surveys by the online platform. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used for the data analysis, including model fit, reliability, and validity of the constructs. Results: The results explicated that perceived usefulness, perceived ease of use, Attitude, perceived behavioral control, and social influence have a significant impact on behavioral intentions Furthermore, behavioral intentions significantly impact use behavior. Conclusions: Six hypotheses were proven to fulfill research objectives. Hence, future research can expand educational technology and impact school management performance, manifested as new products, services, or processes created by new technological behaviors, providing schools with a better digital environment and more convenient management processes
Factors Promoting Teaching Behavior of English Teachers in Primary Schools in Chengdu High-Tech Zone, China
Get PDFPurpose: The study aims to investigate the influence of the teaching behavior of primary school English teachers in Chengdu High-Tech Zone, China. The conceptual framework includes perceived ease of use, perceived usefulness, attitude, subjective norms, behavioral intention, and behavior. Research design, data, and methodology: The population and sample size are 500 primary school English teachers who are 21 years old and above in the Chengdu high-tech zone, China. The researchers used three steps to collect target samples: purpose or judgment, convenience, and snowball sampling. Before the data collection, the validity of the research instrument was assessed by the index of item-objective congruence (IOC) and a pilot test by the Cronbach's alpha coefficient reliability test. In addition, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the reliability of study variables and conceptual frameworks. Results: The results show that perceived ease of use significantly influences perceived usefulness. Perceived ease of use and perceived usefulness have a significant influence on attitude. Attitude significantly influences behavioral intention. Behavioral intention significantly influences behavior. Nevertheless, subjective norms have no significant influence on behavioral intention. Conclusions: Educational institutions can develop strategies that address the specific normative influences prevalent within their unique contexts
Influential Factors of Undergraduate Students’ Behavioral Intention toward Mobile Reading Software: A Case of A Public University in Sichuan, China
Get PDFPurpose: The main purpose of this study is to analyze the behavioral intention of college students using mobile reading apps in Sichuan Normal University through a questionnaire survey. This study mainly used system quality, information quality, service quality, perceived usefulness, perceived ease of use, and other methods to determine the influencing factors and behavioral intention of college students' use of mobile reading apps in Sichuan Normal University. Research design, data, and methodology: The target population of this study is college students at Sichuan Normal University. The total sample size is 500 undergraduates from the first to the third year in Sichuan Normal University. The researchers used three steps to collect target samples: purpose or judgment sampling, quota sampling, and convenience sampling. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the reliability of study variables and conceptual frameworks. Results: System quality, service quality and perceived ease of use significantly impact perceived usefulness. Perceived usefulness significantly impacts behavioral intention. In contrast, information quality has no significant impact on perceived usefulness. Conclusions: This research offers valuable insights that can guide educational institutions, app developers, policymakers, and researchers in fostering effective technology integration for educational enhancement
Factors Influencing Undergraduate Students’ Satisfaction And Performance Towards Online Learning in Chengdu, China
Get PDFPurpose: The primary objective of this paper is to delve into the determinants that influence the satisfaction and efficacy of online learning among students enrolled in four universities directly affiliated with the Ministry of Education in Chengdu. Within this framework, seven latent variables were carefully chosen for analysis: perceived usefulness, perceived ease of use, perceived quality, trust, satisfaction, behavioral intention, and performance. Research design, data, and methodology: The researchers employed a quantitative survey methodology for the study's implementation. An on-site questionnaire survey was conducted among 500 undergraduates with online learning experience in four universities in Chengdu. The sampling procedure involves judgmental, stratified random, and convenience sampling. This study employed confirmatory factor analysis (CFA) and structural equation modeling (SEM) as statistical techniques. Results: Perceived usefulness, perceived ease of use, perceived quality, and trust significantly influence satisfaction. Satisfaction has a significant influence on behavioral intention and performance. In contrast, perceived ease of use does not significantly influence perceived usefulness. Conclusions: This study advances our understanding of the determinants of satisfaction and efficacy in online learning environments. The results provide valuable insights for educational institutions and policymakers aiming to enhance students' online learning experiences