Acceptance model of SaaS cloud computing at northern Malaysian main campus public universities

Technology advancement has side effects, although it has moved in a fast pace that facilitated life and increased business revenue. To cope with negative aspects while looking for friendly technology, Software as a Service (SaaS) Cloud Computing emerged to preserve natural resources, effectively utilize computing and power consumption, while achieving performance, decreasing cost, and increasing revenue. Yet, there are paucity in empirical studies investigating salient factors affecting the usage, acceptance, or adoption of SaaS services from the individual perspectives specifically in higher education sector. The main objective of this study is to investigate the salient factors with proper model that includes technical, social and control characteristics, as well as user security predisposition. Besides, educational level has also proven to be influential in adopting innovations. Hence, probing its role is another objective. The last objective is to investigate differences between student and lecturer groups in the relationships postulated in the model. A survey with questionnaires was conducted on students and lecturers in four public universities in Northern Malaysia. The scope of the acceptance is to investigate the personal-level use of SaaS services. Decomposed Theory of Planned Behaviour (DTPB) and Diffusion of Innovation Theory (DOI) were applied. Results revealed appropriateness of the model although the role of Trialability and Subjective Norms were not significance. The findings contribute to the body of knowledge and literature in highlighting the role of these factors that SaaS providers could benefit in planning for new services and in promoting SaaS usage to universities

The cloud computing systems’ adoption in the higher education sector in Oman in light of the COVID-19 pandemic

The objective of the research was to find out the key factors that influence the acceptance and usage of cloud computing systems in the Omani higher education sector, with special emphasis on the COVID-19 outbreak. For this purpose, a quantitative research approach was conducted where 200 students from several Omani higher education institutions were surveyed, and by using Partial Least Square (PLS) to analysis the collected data. The findings revealed that the intention to use cloud computing in this context is significantly dependent on its perceived ease of use, usefulness, perceived reliability and responsiveness. It is noteworthy that this is one of the early studies that address the subject of cloud computing usage during times of crises, and specifically the COVID-19 outbreak. As such, it provides significant contributions in the area of technology adoption

TAM EXTENSION IN E-LEARNING SYSTEM APPLICABLE IN PRIVATE UNIVERSITIES IN LEBANON

The paper’s purpose is to investigate the influence of selected elements (Accessibility, personal innovativeness (PI), resistance to change, facilitating conditions, perceived usefulness (PU), perceived ease of use (PEOU), attitude) on university students’ to intend e-learning usage. The objective of this paper is to advance a conceptual framework to analyze and to recognize the intention of students to use e-learning in Lebanese private universities. The collection of the data was from 444 private universities students in Lebanon. The SEM analysis had been used to evaluate the influence of these components to intend e-learning system. The results stated that relationships between accessibility on perceived usefulness are not accepted. Furthermore, the associations between (PI) and PEOU are also not accepted. However, all other relationships are accepted in the framework model. Finally, results discussed then conclusions and future research are presente

Factors that influence digital supply chain practices mediated by stakeholders’ intention in higher education institutes of the least developed countries

There is limited understanding regarding factors influencing Digital Supply Chain (DSC) practices in Higher Education Institutes (HEIs) of Bangladesh. The primary objectives are to identify the determinants influencing DSC usage intentions among stakeholders of HEIs, determine the relationship of these determinants with DSC practices, and investigate the mediating role of DSC usage intention in these relationships. Data was collected from 434 respondents selected using a simple random sampling technique. The study employed the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach for data analysis. Five factors were identified as influencing stakeholders' DSC usage intentions: digital literacy (DL), facilitating conditions (FC), facilitating value (FV), performance expectancy (PE), and trust (T). It was found that DSC usage intention mediates the relationship between these identified factors and DSC practices among the stakeholders in Bangladesh's HEIs. The findings revealed positive relationships among DL, FC, FV, PE, T, and DSC usage intention. Moreover, DSC usage intention was found to positively affect DSC practices in HEIs. Mediation analysis confirmed that DSC usage intention significantly mediated the relationships between DL, FC, FV, PE, T, and DSC practices. These findings provide valuable insights for policymakers and practitioners in the higher education sector by highlighting the importance of enhancing digital literacy, creating favorable conditions, promoting the value of DSC, and building trust among stakeholders to facilitate the adoption of DSC practices. The implications of these results, future research directions, recommendations, and conclusions are thoroughly discussed in the thesis

Analyzing the use and benefits of green communication in higher educational institutes

In India, higher education institutions (HEIs) are realizing the value of green interaction, which includes using social media (S.M.) in an environmentally responsible manner. However, there needs to be more consistency on the adoption's present status, the particular tactics used, and the advantages that follow. The current research investigates the various aspects of sustainable communication and its benefits in HEIs throughout India. Through a questionnaire approach, the research enrolled learners across India. The study model's conceptual structure was validated, and its assumptions were proven through the implementation of a quantitative survey. The number of accepted samples was calculated using a conceptual model, and data analysis was performed using the structural equation model (SEM). There were 500 respondents in the study, ranging in age and academic degree and from different institutions of higher learning. The age range of 280 women and 220 men was 80% between 19 and 28. Respondents employed prominent S.M. sites (Twitter, LinkedIn, and Facebook) with purpose and had robust computer abilities. The results demonstrated that inspiration for employing S.M., S.M. characteristics, and information exchange had a favorable impact on students' opinions of user-friendliness and the benefits of digital learning platforms, raising their adoption of them. The research strategy in this investigation delivers suggestions for additional exploration into how HEIs in India may maximize the advantages and utilization of digital learning systems and can be an efficient structure for similar study ventures

Determinant Factors Driving Vocational Schools Students’ Intention to Use E-Learning

The involvement of e-learning in entrepreneurship education has invited the attention of scholars in developed and developing countries throughout the Covid-19 pandemic. This paper examines the determinant factors driving intention to adopt e-learning entrepreneurship among vocational school students in Indonesia. A quantitative research method employed a survey model to explain in detail how the effect of endogenous variables on exogenous variables either directly or through moderator variables. A total of 430 vocational students in Jakarta of Indonesia were involved in this study and collected using the convenience technique. We are adopting Structural Equation Modeling (SEM-PLS) to estimate the proposed model. The findings indicate that teacher characteristic, learning content, playfulness, students’ perceived usefulness, and ease of use have a strong impact on the intention to use e-learning in entrepreneurship. The study also notes that variables perceived usefulness and perceived ease of use successfully moderated the effect of teacher characteristics, design of learning contents, and playfulness on the intention to use e-learning entrepreneurship. The findings of this research are the first step in studying the enactment of e-learning in entrepreneurship education

Understanding the determinants of evaluation, adoption and routinisation of ERP technology (Enterprise Resource Planning) in the context of agricultural farms

A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information and Decision SystemsThe purpose of this thesis is to investigate the determinants of the adoption of ERP (Enterprise Resource Planning) technology in agricultural farms in Brazil. The data were collected in 502 personal interviews with farmers of soy, corn, cotton, coffee, beans, wheat, peanuts, fruits, sugarcane and cattle raising, The data gathering instrument used for the quantitative research was built based on the result of the qualitative study in combination with three theories: Diffusion of Innovation Theory (DOI), Technology-Organization-Environment Framework (TOE), and Interorganizational Relations (IORs). Structural Equations (SEM) methodology was used to analyze the data and hypothesis. The results indicate the significant drivers for Evaluation, Adoption, and Routinisation. Also, we analyzed the ERP impact on farm performance based on resource-based view (RBV). We hope this work can bring a theoretical and practical contribution for the agribusiness field and also increase debates about the platforms on cloud computer based on ERP, Enterprise 2,0 and Industry 4.0. The results this thesis provide information to agribusiness owners, managers and administrators to promote and incentivize the use of ERP

Behavioral Intention to Use E-learning: A Case Study of Apparel School Students at Chengdu Textile College in China

Purpose: To create a student-centered art teaching model, e-learning is considered a new possibility to enhance the curriculum learning approach. Therefore, this research aimed to study significant factors of school of apparel students’ behavioral intention to utilize e-learning at Chengdu Textile College. The conceptual framework consists perceived ease of use, perceived usefulness, attitude, self-efficacy, performance expectancy, social influence and behavioral intention. Research design, data, and methodology: The researcher used a quantitative approach (n=488). Questionnaires were distributed to apparel school students in Chengdu Textile College. The research data was gathered through judgmental, quota and convenience sampling. The following statistical analysis was implemented through the Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM), including model fit, validity, and reliability of each construct. Results: Perceived ease of use has a significant effect on perceived usefulness and attitude. Perceived usefulness has a significant effect on attitude and behavioral intention. Furthermore, attitude, self-efficacy, performance expectancy and social influence significantly affect behavioral intention. Conclusion: The research makes recommendations for college education policymakers, college teaching quality supervision, and teacher to encourage the integration of e-learning into the fundamental teaching process and establish a modern digital and intelligent education environment in college education

Exploring teachers’ technology acceptance during COVID-19 pandemic: A systematic review (2020-2022)

The emergence of novel coronavirus disease 2019 (COVID-19) caused teachers shifting from conventional mode to emergency remote teaching with technology use. Nevertheless, review of technology acceptance level of teachers towards technology is limited, despite its significance in sustaining education during the pandemic. This study aimed to explore teachers’ technology acceptance level and factors affecting their intentions of accepting technology in the COVID-19 pandemic. With the adherence of preferred reporting items for systematic review and meta-analyses (PRISMA) 2020 statement and list of inclusion and exclusion criteria, 22 articles which were published from 2020 to present and related to the research focus had been identified from Scopus and Web of Science databases. The findings depicted that most teachers hold high acceptance level towards using technology to deliver lessons during the COVID-19. There were five key factors affecting teachers’ intentions in accepting technology, namely: i) Perceived usefulness; ii) Perceived ease-of-use; iii) Attitude; iv) Social influence; and v) Facilitating conditions. This study has provided insight to stakeholders on teachers’ technology acceptance during the pandemic. Future studies are recommended to conduct systematic reviews on technology acceptance from students’ perspective by identifying published papers from more databases such as ERIC and Google Scholar

Chinese Consumers' E-Learning Satisfaction and Continuance Purchase Intention on Paid Online Python Course

With the development of internet technology, e-learning has become an essential part of the modern education system. However, the e-learning market faces enormous competition. Consumers' continuance purchase intention has become a vital factor in the success of e-learning courses. Thus, factors that influence consumers' continuance purchase intention should be examined in the e-learning market. However, little research has focused on identifying the continuance purchase intention of an e-learning course. Based on the information system continuity model ISC), this paper develops a research model to investigate the factors influencing satisfaction and continuance purchase intention in e-learning. A cross-sectional, questionnaire-based research design was used in this study. We collected data from consumers who had enrolled in paid online Python courses. In total, 508 paid online Python course users completed the online survey. SmartPLS software was used for data analysis. The results demonstrated that perceived course quality, service quality, convenience, and usefulness significantly affect consumers' satisfaction with the experience course. Moreover, the findings show that satisfaction, self-efficacy, and e-word of mouth (e-WOM) determine the consumers' continuance purchase intention of the reminder course. This study also found that satisfaction mediates the effects of experience courses on consumers' continuance purchase intention of the online Python course. The implications for theory and practice and future research directions are discussed