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The Assessment of Students’ Learning Motivation, Perceived Learning Effectiveness, and Satisfaction Toward Blended Learning in Zhanjiang, China
Get PDFPurpose: The study aims to uncover the elements of blended learning in China that significantly impact student satisfaction. Seven variables were examined, and six hypotheses were formulated among system quality, information quality, learning motivation, perceived usefulness, perceived learning effectiveness, computer self-efficacy, and satisfaction. Research design, data, and methodology: It utilized quantitative techniques and analyzed 500 questionnaires at a normal university in Zhanjiang in Guangdong Province, China. Confirmatory factor analysis (CFA) and a structural equation model (SEM) were employed for hypothesis testing. Results: Findings reveal that system quality significantly influences satisfaction in blended learning. Information quality enhances students' perception of blended learning. Learning motivation significantly impacts satisfaction. Perceived usefulness significantly drives students' motivation to participate in blended learning. Additionally, perceived learning effectiveness positively affects satisfaction. Furthermore, computer self-efficacy is closely associated with students' perceived learning effectiveness in blended learning. Conclusions: The findings of this research shed light on essential factors that significantly influence student satisfaction in blended learning. Prioritizing system and information quality, learning motivation, perceived usefulness, perceived learning effectiveness, and computer self-efficacy can improve students' satisfaction and overall success in blended learning environments. This study highlights the significance of students' learning motivation and satisfaction in the era of Internet + education
What Factors Drive Satisfaction and Continuance Intention Of Art Major Students Towards Cloud-Based E-Learning in Chongqing, China?
Get PDFPurpose: The cloud-based e-learning system has rapidly developed in China, with over 21 platforms dedicated to online higher education teaching. This research, therefore, investigates the factors influencing the satisfaction and continuance intention of postgraduate students majoring in art in Chongqing, China, when using cloud-based e-learning system services. Research design, data, and methodology: The quantitative research study will collect data from 500 art postgraduate students in nine art majors at Sichuan Fine Arts Institute, Chongqing, China, through a questionnaire survey. Sample methods include judgmental sampling, quota sampling, and convenience sampling. Before data collection, an initial pilot study with a sample size of 30 will be conducted to establish the Index of Congruence (IOC) and perform a validity and reliability trial assessment. Confirmatory Factor Analysis (CFA) will be used to evaluate the convergence and discrimination validity of the measurement model. Results: The results indicated that perceived usefulness is the strongest factor influencing satisfaction, followed by information and system quality. However, e-learning effectiveness and service quality do not significantly impact the satisfaction of graduate students in the arts field. Conclusions: The administrators of the cloud-based e-learning system and the instructors of art courses should enhance student satisfaction from two perspectives: system level and course quality
Effects of Design Thinking Integration on Organization Dynamics and Innovation Outcomes in Thai Organizations
Get PDFPurpose: The purpose of the study is to analyze the advantages of integrating design thinking in an organization in Thailand, and its effect on organization dynamics and influencing innovation outcomes. Design/Methodology/Approach: The research methodology involves qualitative interviews with organizational leaders and literature review. Thematic analysis is applied to interview data. Findings: The findings highlight the benefits of design thinking in influencing organization dynamics and fostering innovation outcomes within the context of Thai organizations.
Originality/Value: This study contributes to the understanding of the practical benefits of design thinking in shaping organization dynamics and influencing innovation outcomes within the unique business landscape of Thailand, offering insights that can be applied to enhance organizational creativity and problem-solving
How Much Is Clean Air Worth? A Case Study of South Delhi Regions in India
Get PDFAir pollution is one of the most pressing problems in India, taking millions of lives annually. Despite unprecedented air quality deterioration, little is known about individuals’ preferences for air quality improvement in India. As a first step, this study presents results from the preferences for air quality improvement of inhabitants in South Delhi, India, which is part of the city of Delhi and where air pollution is causing extensive health hazards. Adequate knowledge about individuals’ preferences can help in designing more effective health and environmental policies. Overall, we find a significant willingness to pay for improving the air quality in South Delhi. As expected, people with a higher level of education and a higher income are more willing to pay to alleviate and prevent the effects of air pollution. At the same time, significant gender effects are identified; women seem to have more homogeneous preferences regarding air quality than men. Furthermore, due to income inequalities, a significant number of respondents are not willing to pay
Exploring the Influence of Green Marketing on Green Customer Loyalty for Eco-friendly resorts in Phuket Island
Get PDFPurpose – This study aims to analyze the relationship of green marketing, customer trust, green image, customer satisfaction on green customer loyalty for eco-friendly resorts in Phuket Island. Design/Methodology/Approach – The research aims to use primary and secondary data gathering methods to perform an analysis to explore the influence of green marketing on green customer loyalty for Phuket Island’s eco-friendly resorts. The information was gathered from 390 respondents who had visited Phuket Island’s eco-friendly resorts. In order to develop the conceptual framework, this study referred to four existing theoretical frameworks. Findings – This study is intended to explore the influence of green marketing on green customer loyalty. Followed by the findings of this research represented green marketing has a significant influence on customer satisfaction whereas customer trust has no significant influence on customer satisfaction. Green marketing, customer satisfaction and customer trust have a significant influence on green customer loyalty. However, green image has no significant influence on green customer loyalty. Research Limitations/Implications – The limitations of the research showed several elements to explore the influence of green marketing on green customer loyalty for eco-friendly resorts in Phuket Island. The study's focus on Phuket visitors may not apply to other eco-tourism locations, and eco-friendly resorts were preferred over other accommodations. Quantitative methods may overlook factors influencing tourist decisions, while qualitative methods like focus groups or interviews provide more in-depth insights. The sample size of 390 respondents may not accurately represent green tourists. Originality/value – This study on the influence of green marketing on green customer loyalty for eco-friendly resorts in Phuket Island.
Keywords – Green Marketing, Customer Trust, Green Image, Customer Satisfaction, Green Customer Loyalty.
JEL classification code – Z30, Z31, Z32, Z3
Factors Influencing Ad Clicks and Purchase Intention in Social Media Marketing Advertising: The Role of Media Factors, Content Factors and Connection Motivation (Yangon, Myanmar)
Get PDFPurpose- The purpose of this research is to explore and understand the key factors that influence the effectiveness of social media advertising campaigns in Yangon, Myanmar. By investigating the impact of media factors, content factors, and connection motivation on ad clicks and purchase intention in social media advertising. Design/Methodology/Approach – This study employs quantitative methods and analytical techniques such as Cronbach’s Alpha, Simple Linear Regression, and Multiple Linear Regression to investigate factors influencing ad clicks and purchase intention in social media advertising campaigns. The research instrument, a questionnaire, comprises screening questions, demographic information, and items aimed at assessing attitudes using a five-point. Findings – Content factors such as quality and type of content used in advertisements have a significant positive impact on ad clicks, leading to increased user engagement and click-through rates. Media factors, including platforms and channels used for advertising, show little to no influence on ad clicks, suggesting platform choice may not affect user engagement. Connection motivation, reflecting reasons for engaging with ads, has minimal impact on ad clicks, indicating motivation may not significantly influence ad performance. Ad clicks through social media marketing have a positive impact on purchase intention. Research Limitations/Implications – While the study provides valuable insights into ad clicks and purchase intention in social media marketing in Yangon, Myanmar, it is limited by sampling bias, generalizability constraints, and temporal issues. Originality/value – The focus of this study is to conduct an analysis of the key factors that influence ad clicks and purchase intention in social media marketing advertising.
Keywords –Ad clicks, Media factors, Content factors, Connection Motivation, Purchase Intention,Social Media Marketing Management
JEL classification code – M31, L82, L8
A Comparative Analysis of Adaboost and XGBoost Meta-Algorthms for improving Network Security
Get PDFPurpose: This study explores network security, focusing on the application of advanced machine learning algorithms to enhance Intrusion Detection Systems. The increasing frequency of network attacks necessitates robust defense mechanisms and sophisticated methodologies.
Research design, data and methodology: The CRISP-DM framework and a multi-class dataset from the NSL KDD Cup Dataset were used for feature selection and boosting. Adaboost outperformed XGBoost in accuracy, error rate, precision and sensitivity, highlighting the relationship between algorithmic selection and high detection rates in intrusion detection systems. The study emphasizes the importance of considering diverse machine learning models and datasets to refine and advance intrusion detection techniques. The research highlights the evolving landscape of network security and encourages further exploration and integration of various machine learning models and datasets into intrusion detection methodologies.
Conclusions: Real-world implementations are encouraged, focusing on scalability and adaptability. The synergy of advanced machine learning algorithms, meticulous feature selection, and robust methodologies is a promising avenue for fortifying network defenses and ensuring critical system security. This study contributes to the ongoing dialogue on network security, advocating for a proactive approach in refining and implementing intrusion detection systems.
Keywords: Keywords Algorithm, Dataset, Intrusion, Machine Learning, Models, Network Security
Influential Factors of Undergraduate Students’ Behavioral Intention toward Mobile Reading Software: A Case of A Public University in Sichuan, China
Get PDFPurpose: The main objective of this study is to examine the behavioral intention of college students at Panzhihua University regarding mobile reading apps. The study utilizes a questionnaire survey to analyze the influencing factors, such as system quality, information quality, service quality, perceived usefulness, and perceived ease of use, on college students' behavioral intention to use mobile reading apps. Research design, data, and methodology: The target population for this study consists of college students at Panzhihua University, with a total sample size of 500 undergraduate students from the first to the third year. The researchers employ three sampling techniques: judgmental, quota, and convenience sampling to collect the target samples. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the reliability of study variables and conceptual frameworks. Results: All hypotheses are supported. System quality, service quality information quality, and perceived ease of use significantly impact perceived usefulness. Perceived usefulness significantly impacts behavioral intention. Conclusions: The findings of this study provide empirical evidence supporting the hypothesized relationships between variables. Stakeholders can create a conducive environment for mobile reading app adoption, fostering positive user experiences and facilitating meaningful engagement among college students in Panzhihua City
Empirical Investigation of Factors Influencing the Performance of Employees with Over Five Years of Work Experience in High-Tech Enterprises in China
Get PDFPurpose: The objective of this study is to investigate the significant factors impacting the job performance of employees in high-tech enterprises located in Chengdu, China. The conceptual framework proposes causal relationships between variables such as job engagement, innovative behavior, distributive justice, training, job satisfaction, organizational commitment, and employee job performance. Research Design, Data, and Methodology: A questionnaire was distributed to collect data from 500 employees who have been working over five years in High-Tech Enterprises in China. The researcher used Item-Objective Consistency (IOC) and Cronbach's Alpha to test the designed scales before distributing the questionnaire. Nonprobability and probability sampling methods are used, including judgmental and stratified random sampling. The collected data were then subjected to statistical analyses, including Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), to assess reliability, validity, and model fit. Results: Through the analysis, eight hypotheses were confirmed. The analysis of the research findings demonstrates that training, job engagement, distributive justice, job satisfaction, innovative behavior, and organizational commitment have a significantly positive impact on job performance among employees in high-tech enterprises. Conclusions: This study provides recommendations for human resource management in high-tech enterprises, highlights the limitations of the research, and suggests directions for future research
A Study on Factors Affecting Behavioral Intention and Behavior of Tourists to Use Tourism Applets in Chongqing, China
Get PDFPurpose: This study focused on the influencing factors of behavioral intention and behavior of tourists to use tourism mobile applets in Chongqing, China. Trust, facilitating conditions, social influence, perceived ease of use, perceived usefulness, behavioral intention, and use behavior were examined in the research framework. Research design, data, and methodology: The researcher conducted quantitative research on 500 samples and statistical surveys on tourists in this region, and adopted non-probabilistic sampling technology, including judgment sampling and quota sampling. Before data collection, the index of item-objective congruence (IOC) was used to test validity. Cronbach's alpha coefficient values were taken from a reliability test of 30 participants. The confirmatory factor analysis (CFA) and structural equation model (SEM) were used for statistical analysis, including validity, reliability, and goodness of fit tests. Results: The biggest factor affecting the behavioral intention to use tourism mobile applets was the facilitating conditions and trust. Meanwhile, social influence, perceived ease of use, and perceived usefulness were important factors affecting the behavioral intention to use tourism mobile applets. The behavioral intention was also an important factor that affected the use behavior to use tourism mobile applets. Conclusions: The enterprises should attach great importance to the facilitating conditions, trust, social influence, perceived ease of use, and usefulness of the tourism mobile applets to improve tourists' behavioral intention and use