Investigating Factors Affecting Cloud Computing Adoption by SMEs in Himachal Pradesh

2016 ◽  
Author(s):  
Devesh Kumar ◽  
Harsh Vardhan Samalia
Keyword(s):  
Cloud Computing ◽  
Himachal Pradesh ◽  
Factors Affecting ◽  
Cloud Computing Adoption

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 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. 

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 A Quantitative Method for Selection of Enterprise Cloud Computing Models

2016 ◽  
Vol 4 (4) ◽  
pp. 365-378
Author(s):  
Dehua Yang
Keyword(s):  
Cloud Computing ◽  
Quantitative Method ◽  
Structural Model ◽  
Influence Factors ◽  
Hierarchical Structures ◽  
Factors Affecting ◽  
Cloud Computing Adoption ◽  
The Relationship ◽  
Selection Of ◽  
Computing Models

AbstractTargeting at methodological limitations in the decision-making of enterprise cloud computing adoption, this paper analyzes the main influence factors affecting enterprise cloud computing, builds up their hierarchical structures, and works out 8 key influence factors affecting cloud computing models, based on the structural model theory in system engineering. A quantitative method is provided for the selection of optimal or recommended enterprise cloud computing models, in terms of the relationship valuations among key influence factors, cloud computing models, and the factor weights for a specific enterprise.

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