Role of cloud computing technology in the education sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Riddhi Thavi ◽  
Rujuta Jhaveri ◽  
Vaibhav Narwane ◽  
Bhaskar Gardas ◽  
Nima Jafari Navimipour
Keyword(s):  
Cloud Computing ◽  
Distance Learning ◽  
Teaching And Learning ◽  
Education Sector ◽  
Theoretical Research ◽  
Research Review ◽  
Educational Systems ◽  
Computing Technology ◽  
Content Type ◽  
Cloud Computing Adoption

Purpose This paper aims to provide a literature review on the cloud-based platforms for the education sectors. The several aspects of cloud computing adoption in education, remote/distance learning and the application of cloud-based design and manufacturing (CBDM) have been studied and theorised. Design/methodology/approach A four-step methodology was adopted to analyse and categorise the papers obtained through various search engines. Out of 429 research articles, 72 papers were shortlisted for the detailed analysis. Findings Many factors that influence cloud computing technology adoption in the education sector have been identified in this paper. The research findings on several research items have been tabulated and discussed. Based on the theoretical research done on cloud computing for education, cloud computing for remote/distance learning and CBDM, cloud computing could enhance the educational systems in mainly developing countries and improve the scope for remote/distance learning. Research limitations/implications This study is limited to papers published only in the past decade from 2011 to 2020. Besides, this review was unable to include journal articles published in different languages. Nevertheless, for the effective teaching and learning process, this paper could help understand the importance and improve the process of adopting cloud computing concepts in educational universities and platforms. Originality/value This study is a novel one as a research review constituting cloud computing applications in education and extended for remote/distance learning and CBDM, which have not been studied in the existing knowledge base.

scholarly journals Cloud Computing in Education in Developing Countries

2017 ◽  
Vol 10 (2) ◽  
pp. 87 ◽  
Author(s):  
Faten Karim ◽  
Giselle Rampersad
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Technology Adoption ◽  
Tertiary Education ◽  
Developed Countries ◽  
Education Sector ◽  
It Infrastructure ◽  
Cloud Computing Adoption ◽  
Limited Degree ◽  
Set Up

The main advantage of cloud computing is to reduce the IT cost. By using cloud computing, organisations do not have to set up an IT infrastructure, and instead are able to rent resources and give payment only for the using services. Even with the appealing of cloud computing benefits, it is still in infancy in developing countries due to many reasons. Technology adoption has been explored to a limited degree in developing countries, particularly in relation to cloud computing in the tertiary education sector. Existing studies have examined technology adoption in developed countries and to a lesser extent in developing countries in non-education contexts such as e-government. This paper contributes to the cloud computing adoption literature in developing countries, and specifically in Saudi Arabian universities. 

Understanding determinants of cloud computing adoption using an integrated TAM-TOE model

2015 ◽  
Vol 28 (1) ◽  
pp. 107-130 ◽  
Author(s):  
Hemlata Gangwar ◽  
Hema Date ◽  
R Ramaswamy
Keyword(s):  
Cloud Computing ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Organizational Level ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Content Type ◽  
Cloud Computing Adoption ◽  
Tam Model ◽  
Toe Framework

Purpose – The purpose of this paper is to integrate TAM model and TOE framework for cloud computing adoption at organizational level. Design/methodology/approach – A conceptual framework was developed using technological and organizational variables of TOE framework as external variables of TAM model while environmental variables were proposed to have direct impact on cloud computing adoption. A questionnaire was used to collect the data from 280 companies in IT, manufacturing and finance sectors in India. The data were analyzed using exploratory and confirmatory factor analyses. Further, structural equation modeling was used to test the proposed model. Findings – The study identified relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for affecting cloud computing adoption using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Also, competitive pressure and trading partner support were found directly affecting cloud computing adoption intentions. The model explained 62 percent of cloud computing adoption. Practical implications – The model can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations. It also provides relevant recommendations to achieve conducive implementation environment for cloud computing adoption. Originality/value – This study integrates two of the information technology adoption models to improve predictive power of resulting model.

Feasibility of implementing the human resource payroll management system based on cloud computing

Kybernetes ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Min Zhao ◽  
Kamran Rabiei
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Management System ◽  
Structural Equation ◽  
Equation Modeling ◽  
Computing Technology ◽  
Cross Sectional ◽  
Content Type

PurposeThe present study is descriptive research in terms of purpose, descriptive analysis in terms of nature and cross-sectional research in terms of time. The study’s statistical population includes all employees and managers of the China City Organization selected as sample members using random sampling method and Krejcie table of 242 people. The questionnaire was modified and revised based on the goals, tasks and mission of the target organization to collect information. In data analysis, due to the normality of data distribution, the structural equation modeling method is used to evaluate the causal model, reliability and validity of the measurement model. Evaluation and validation of the model are done through the structural equation model. Questionnaire-based model and data are analyzed using Smart PLS 3.0. The main purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology.Design/methodology/approachNew technologies require innovative approaches for creating valuable opportunities in an organization to integrate the physical flows of goods and services and financial information. Today, cloud computing is an emerging mechanism for high-level computing as a storage system. It is used to connect to network hosts, infrastructure and applications and provide reliable services. Due to advances in this field, cloud computing is used to perform operations related to human resources. The role, importance and application of cloud computing in human resource management, such as reducing the cost of hardware and information software in hiring, job planning, employee selection, employee socialization, payroll, employee performance appraisal, rewards, etc., is raised. This way, human resource management teams can easily view resumes, sort candidates and observe and analyze their performance. Cloud computing is effective in implementing human resource payroll management systems. Therefore, the primary purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology.FindingsTesting the research hypotheses shows that the dimension desirability of ability and acceptance is provided in dimensions related to the minimum conditions required to implement cloud computing technology in the organization. For this reason, the feasibility of implementing the systems based on cloud computing in companies must be considered.Research limitations/implicationsThis study also has some limitations that need to be considered in evaluating the results. The study is limited to one region. It cannot be assured that the factors examined in other areas are effective. The research design for this study is a cross-sectional study. It represents the static relationship between the variables. Since cross-sectional data from variable relationships are taken at a single point in time, they are collected in other periods. As a proposal, future researchers intend to investigate the impact of Enterprise Resource Planning (ERP) systems based on cloud computing.Practical implicationsThe research also includes companies, departments and individuals associated with systems based on cloud computing.Originality/valueIn this paper, the feasibility of implementing the human resource payroll management system based on cloud computing is pointed out, and the approach to resolve the problem is applied to a practical example. The presented model in this article provides a complete framework to investigate the feasibility of implementing the human resource payroll management system based on cloud computing.

Systems approach to cloud computing adoption in an emerging economy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahak Sharma ◽  
Ruchita Gupta ◽  
Padmanav Acharya ◽  
Karuna Jain
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Systems Approach ◽  
Service Providers ◽  
Developing Economies ◽  
Resistance To Change ◽  
Cloud Services ◽  
Financial Loss ◽  
Content Type ◽  
Cloud Computing Adoption

PurposeCloud computing (CC) services have given a tremendous boost to the creation of efficient and effective solutions. With developing countries at a slow pace of adoption, this research aims to identify factors and their interrelationships influencing the adoption of CC in a developing country context. The developing countries are enjoying numerous benefits from CC services; however, its low adoption is still a question in developing economies; hence, the authors have selected the context of information and communication technology (ICT) firms in India.Design/methodology/approachThe qualitative research method is used where experts from thirteen ICT firms in India are interviewed.FindingsSixteen factors, twenty-eight subfactors, and 25 interrelationships are revealed through content analysis. Further, causal loop diagrams are proposed to display the behavior of cause and effect of these factors from a system's perspective. This will help to understand the relationships among the factors in order to enhance the speed of CC adoption. Possible financial loss and resistance to change are found as the key barriers to adoption. The proposed interrelationships can guide both policymakers and service providers for designing effective CC policies.Originality/valueThis is the first scholarly work that identifies interrelationships among factors and subfactors, thereby providing a holistic picture to decision-makers while making a choice on whether to adopt cloud services or continue with on premise data centers and servers.

Technology usage for teaching and learning law in open and distance learning: a Sri Lankan perspective

2020 ◽  
Vol 15 (1) ◽  
pp. 69-81
Author(s):  
Janaka Selvaras
Keyword(s):  
Distance Learning ◽  
Sri Lanka ◽  
Blended Learning ◽  
Teaching And Learning ◽  
Technology Usage ◽  
Content Type ◽  
Learning And Teaching ◽  
Online Social Media ◽  
Open And Distance Learning ◽  
Learning Law

PurposeThe Open University of Sri Lanka (OUSL) is the only institution to deliver legal education through Open and Distance Learning (ODL) in Sri Lanka. This study aims to analyze technology usage in learning and teaching law in the ODL under OUSL to evaluate the accessibility and also challenges.Design/methodology/approachA combination of qualitative and quantitative methodologies has been used for the study. This includes both interviews with teachers and surveying among students on the usage of technology in learning and teaching law at OUSL. Since the LL.B Degree Programme of OUSL delivered at six regional centres in Sri Lanka, this study also includes the comparative analysis of technology usage in teaching and learning at selected regional centres.FindingsThe findings indicate that the majority of students have access to technology through mobile phones and are aware of blended learning. Even though they prefer to integrate blended learning with learning law, they do not prefer learning entirely online. Social media and mobile applications are the most preferred modes of blended learning by students. It is also acknowledged that the internal staff has knowledge and access to the use of technology in teaching law while the external staff faces challenges and is in need of adequate training.Originality/valueThe original contribution of this article provides insightful guidelines not only to the OUSL of Sri Lanka but also to the institutions offering similar disciplines through ODL to understand lecturers, learners in the future integration of technology.

The adoption of cloud computing in small and medium enterprises: a developing country perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abul Khayer ◽  
Nusrat Jahan ◽  
Md. Nahin Hossain ◽  
Md. Yahin Hossain
Keyword(s):  
Cloud Computing ◽  
Firm Performance ◽  
Small And Medium Enterprises ◽  
Security And Privacy ◽  
Content Type ◽  
Cloud Computing Adoption ◽  
Effort Expectancy ◽  
Toe Framework ◽  
Medium Enterprises ◽  
Organisational Agility

Purpose The purpose of this paper is to examine the determinants of cloud computing adoption in small and medium enterprises (SMEs), further, to measure the effect of cloud computing adoption on cloud-supported firm performance through enhancing organisational agility. Design/methodology/approach The research model is developed by combining two popular theoretical models, namely, the unified theory of acceptance and use of technology (UTAUT) and the technology–organisation–environment (TOE) framework. Data are collected from 372 SMEs to test the model. The strengths of widely used structural equation modelling (SEM) are applied to analyse the data. Findings This study reveals that the significant predictors of cloud computing adoption are performance expectancy; effort expectancy; absorptive capacity; data security and privacy; and perceived trust. Also, cloud computing adoption positively influences firm performance directly and through organisational agility. The results of importance–performance map analysis indicate that effort expectancy falls in the critical zone, which needs to be improved. Originality/value This research is one of few that blends the strengths of UTAUT and TOE framework. The research outcomes yield noteworthy suggestions to cloud providers, managers and government policymakers on ways of motivating the spread of cloud computing in developing countries.

scholarly journals Cloud Computing Technology Model for Teaching and Learning of ICT

2016 ◽  
Vol 143 (5) ◽  
pp. 22-26
Author(s):  
Peter Appiahene ◽  
Bryce Yaw ◽  
Christopher Bombie
Keyword(s):  
Cloud Computing ◽  
Teaching And Learning ◽  
Computing Technology

Cloud computing and virtual machines in LIS education: options and resources

2017 ◽  
Vol 33 (1) ◽  
pp. 14-39 ◽  
Author(s):  
Christinger Tomer
Keyword(s):  
Cloud Computing ◽  
Teaching And Learning ◽  
Information Science ◽  
Virtual Machines ◽  
Library And Information Science ◽  
Degree Programs ◽  
Content Type ◽  
Related Development ◽  
Near Future ◽  
Efficient Environment

Purpose The purpose of this paper is to consider how and why virtual machines (VMs) and cloud computing and related development environments built on cloud-based resources may be used to support and enhance the technological elements of library and information science (LIS) education. Design/methodology/approach It is based on analysis of available technologies and relevant applications. Findings Cloud computing and virtualization offer a basis for creating a robust computing infrastructure for LIS education. Practical implications In the context of LIS education, cloud computing is relevant in two respects. First, many important library and archival services already rely heavily on cloud-based infrastructures, and in the near future, cloud computing is likely to define a much larger part of the computing environment on which libraries and archives rely. Second, cloud computing affords a highly flexible and efficient environment that is ideal for learning about VMs, operating systems and a wide variety of applications. What is more important, it constitutes an environment for teaching and learning that is vastly superior to the ones that currently support most LIS degree programs. From a pedagogical perspective, the key aspect of teaching and learning in the cloud environment is the VM. So, the article focuses a significant portion of its attentions on questions related to the deployment and use of VMs and Linux Containers, within and without cloud-based infrastructures, as means of learning about computer systems, applications and networking and achieving an understanding of essential aspects of both cloud computing and VM environments. Originality/value Based on a search of available literature in computer science and library and information science, the paper has no counterparts.

Factors influencing cloud computing adoption for e-government implementation in developing countries

2016 ◽  
Vol 18 (3) ◽  
pp. 297-327 ◽  
Author(s):  
Fathey Mohammed ◽  
Othman Ibrahim ◽  
Norafida Ithnin
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Pilot Study ◽  
Reliability And Validity ◽  
Face Validity ◽  
Validity And Reliability ◽  
Content Type ◽  
Factors Influencing ◽  
Cloud Computing Adoption ◽  
Proposed Model

Purpose This paper aims to develop a model and measurement to investigate the factors influencing cloud computing adoption as a part of developing countries’ alternatives to implement e-government services. Design/methodology/approach This study proposes a theoretical model based on the literature of technology adoption models. It constructs scale measurements for the proposed model constructs by extracting and adapting the items from the literature. The authors verify the scales’ content validity and reliability by applying face validity, pre-testing and pilot study. For the pilot study, the authors collect the data from 26 information technology staff in five public organizations in Yemen. The authors test the reliability of the scales using Cronbach’s alpha criterion, and then conduct exploratory factor analysis to evaluate the validity of the scales. Findings The results show that the scale measurements meet the conventional criteria of reliability and validity. Originality/value Theoretically, this paper provides an integrated model for examining cloud computing adoption for e-government implementation in developing countries. In addition, it develops an instrument to empirically investigate the influencing factors of cloud computing adoption in the context of developing countries’ e-government initiatives.

scholarly journals Views of Irish Farmers on Smart Farming Technologies: An Observational Study

2019 ◽  
Vol 1 (2) ◽  
pp. 164-187 ◽  
Author(s):  
Jithin V. ◽  
Shubham Sharma ◽  
Abhishek Kaushik
Keyword(s):  
Cloud Computing ◽  
New Technology ◽  
Total Sample ◽  
Primary Objective ◽  
Present System ◽  
Snowball Sampling ◽  
Computing Technology ◽  
Cloud Computing Adoption ◽  
Smart Farming ◽  
Major Factors

The primary objective of this research is to find the disparity for slow adoption of Smart Farming Technologies (SFT) in Ireland. The usage of Cloud Computing technology among Irish farmers would help to find out the adoption behaviour barrier and way to enhance from the present system. The research will also help us to indicate the reasons for farmers in adopting and not adopting any technology. The research followed a mixed method where both surveys and interviews were used to collect the data from Irish farmers. A total sample of 32 farmers were selected through snowball sampling with the help of social websites. This study explored the major factors in adopting new technology among Irish farmers. It also helped to find the perception of farmers and ways to improve from the present system. The result shows that Cloud Computing adoption among the young farmers is greater while it is lower among the old farmers in Ireland.

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