Factors affecting cloud computing adoption in the Indian school education system

2019 ◽  
Vol 24 (4) ◽  
pp. 2453-2475 ◽  
Author(s):  
Jewan Singh ◽  
Vibhakar Mansotra
Keyword(s):  
Cloud Computing ◽  
Education System ◽  
School Education ◽  
Indian School ◽  
Factors Affecting ◽  
Cloud Computing Adoption

Towards Development of an Integrated Cloud-Computing Adoption Framework — A Case of Indian School Education System

2019 ◽  
Vol 16 (02) ◽  
pp. 1950016 ◽  
Author(s):  
Jewan Singh ◽  
Vibhakar Mansotra
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Education System ◽  
Theoretical Models ◽  
Integrated Approach ◽  
School Education ◽  
Indian School ◽  
Cloud Computing Adoption ◽  
Acceptance Model

Many theoretical models viz., technology acceptance model (TAM), technology–organization–environment (TOE), diffusion of innovation (DOI), and human–organization–technology-fit (HOT-fit), etc., have been developed, validated, and tested to explain the acceptance of innovative technologies by the intended end users. However, given the limitations associated with these theoretical models as well as different cloud computing adoption scenario, they may not point out to the major constructs and the variables under so-called “selective contexts” in an explicit manner. Therefore, several research studies have been undertaken to integrate more than one model to provide a holistic evaluation of the determinants of cloud computing adoption for different domains. Such studies have also been conducted for education sector as well. But, the target of these studies is mostly specific to higher education using TOE or TAM models. To solve this limitation, we propose integrated approach of TAM, TOE framework, DOI, and HOT-fit frameworks in an effort to improve predictive power of proposed resulting model and, stretching the constructs to enrich the literature and implementing the same for Indian school education system as a case study.

scholarly journals Investigating the Impact of Cloud Computing Vendor on the Adoption of Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Ge Zhang ◽  
Lu Liu ◽  
Hao Guo
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Relevant Research ◽  
Factors Affecting ◽  
Research Perspective ◽  
Cloud Computing Adoption ◽  
Service Capability ◽  
Initial Scale ◽  
Matched Data ◽  
The Impact

Cloud computing offers significant impacts on organization by changing how information systems are developed, deployed, operated, maintained, and paid for. Therefore, the adoption of cloud computing becomes the focus of relevant research; however, previous studies have mostly studied the factors affecting cloud computing adoption from the perspective of adopters, ignoring the influence of the vendors. This study defines cloud service capability and develops scale to measure it from the perspective of cloud computing vendors to empirically examine the impact of the supply-side of cloud computing. The initial scale of cloud service capability is constructed using qualitative research, and the formal scale is obtained after two rounds of pretest. The statistical results of matched data collected from 132 cloud computing vendors and their users show that cloud service capability significantly affects cloud computing adoption. This study shifts the research perspective on cloud adoption to make theoretical contributions and management insights from the perspective of cloud computing vendors.

scholarly journals Environment determinants in business adoption of Cloud Computing

2017 ◽  
Vol 117 (1) ◽  
pp. 228-246 ◽  
Author(s):  
Juan Manuel Maqueira-Marín ◽  
Sebastián Bruque-Cámara ◽  
Beatriz Minguela-Rata
Keyword(s):  
Cloud Computing ◽  
Environmental Factors ◽  
Structural Equation ◽  
Structural Equation Models ◽  
It Adoption ◽  
Content Type ◽  
Factors Affecting ◽  
Internal Resources ◽  
Cloud Computing Adoption ◽  
High Technology Firms

Purpose The purpose of this paper is to analyze the influence of Technology Providers, Public Administrations and R&D Institutions on Cloud Computing adoption. This research also considers Killer Applications and Success Cases as other environmental factors. Design/methodology/approach Factorial analyses and structural equation models were used on a sample of high-technology firms located in technological parks in Southern Europe, with more than ten employees and sustained investments in R&D. Findings Results show that Technology Providers and Success Cases are determinant in Cloud Computing adoption. Moreover, Killer Applications are a forerunner for Success Cases. Practical implications An appropriate fit between the tools and resources provided by suppliers and the internal resources of the company is needed to create competitive advantages. Firms should evaluate Technology Providers, identify Success Cases to Cloud Computing adoption and implement technological benchmarking. Originality/value This study contributes to Cloud Computing adoption literature because it includes Technology Providers, Public Administrations and R&D Institutions simultaneously as well as other variables as Killer Applications and Success Cases. The importance of the external agents on information technology (IT) adoption, especially when the technologies to be adopted are new and in an emergent stage, together with the lack of prior investigations focusing on specific environmental factors affecting the adoption of these new, emerging IT, justify the value of this research.

scholarly journals INVESTIGATION OF FACTORS AFFECTING CLOUD COMPUTING ADOPTION IN NIGERIA

2017 ◽  
Vol 15 (2) ◽  
pp. 73-94
Author(s):  
O T AROGUNDADE ◽  
A O ADEJIMI ◽  
A M MUSTAPHA ◽  
A M IKOTUN ◽  
A AKINWALE
Keyword(s):  
Cloud Computing ◽  
Regression Analysis ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
Computing Services ◽  
Cloud Computing Adoption ◽  
Acceptance Model

Cloud computing is a viable alternative for meeting the technological needs of many  enterprises with the benefits of instantaneous computing resource fulfillment, technology expenditures at lower costs, common technology platforms that can facilitate standardization and decreased  need for internal technology support personnel. This paper examined the behavioral intention to adopt cloud computing services in large and small organization using an Enhanced Technology Acceptance Model (ETAM). The aim is to investigate the factors affecting cloud computing adoption in Nigeria. The model includes variables that other research has found related to adoption of new computing services and technologies. Regression Analysis was then deployed to test the research hypotheses. The result of regression analysis revealed that attitude and adopters ability to use cloud computing (self-efficacy) were better predictor of intention; perceived usefulness and perceived ease of use of cloud computing were better predictor of attitude; perceived ease of use and the relevant of cloud computing to adopters’ work (job relevance) were the predictor of perceived usefulness. 

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