Technology Assessment: Cloud Service Adoption Decision

Wease, Greg; Boateng, Kwasi; Yu, Chih-Jen; Chan, Leong; Barham, Husam

doi:10.1007/978-3-319-68987-6_16

Cited by 13 publications

(9 citation statements)

References 20 publications

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“…The existing competitive pressure for an enterprise is a key factor in adopting new emerging technologies (Majumdar and Venkataraman, 1993). The significance of the competitive pressure as a main technology adoption driver has been highlighted in several recent empirical studies (Alshamaila et al , 2013; Oliveira et al , 2014; Gangwar et al , 2015; Senyo et al , 2016; Maqueira-Marín et al , 2017; Wease et al , 2018). In this regard, Hsu et al (2014) reported that competition puts intense pressure on enterprises to explore novel alternatives to enhance their production process.…”

Section: Theoretical Background and Hypothesismentioning

confidence: 99%

A multifaceted framework for adoption of cloud computing in Malaysian SMEs

Asiaei

Rahim

2019

JSTPM

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Purpose The purpose of this study is to develop a model to understand the relationships among technology, organizational and environmental (TOE) contexts, intention to adopt cloud computing (IACC) and actual usage of cloud computing (AUCC) in small and medium enterprises (SMEs) in Malaysia as a developing country. More specifically, this paper seeks to explore the mediation effect of IACC on the relationship between TOE context and AUCC. Design/methodology/approach A positivist research approach was selected for this study. Drawing largely upon the TOE framework, this study uses survey data from 209 Malaysian SMEs. Structural equation modelling (SEM) based on partial least squares (PLS) was used to assess the structural relations of the research model. Findings The results of the structural model show that data security, technology readiness, top management support, competitive pressure and innovativeness are the most significant factors in predicting the adoption of cloud computing in Malaysian SMEs. Further, the results indicate that intention to adopt cloud computing can play a mediating role between TOE factors and the actual usage of cloud computing. Research limitations/implications The focus upon Malaysian SMEs may diminish the generalizability of the findings. This study provides profound insight into the management and foundation of cloud computing, different types of cloud services and deployment models that could facilitate the management of enterprise strategic resources and contribute to the performance improvement. This study also provides another important implication for practitioners regarding the absolute necessity of value drivers’ identification within enterprise and understand the causal relationships, which are vital in driving those values. Practical implications This study provides several practical guidance for practitioners in deploying cloud services which are most suitable option for their specific technology requirement in their enterprise to enjoy the full benefits of their intangible assets. Another significant implication of this study lies in the fact that it may require a different emphasis on nature and adoption design when there is a higher level of stress on technology-related and cloud computing resources. Originality/value This study contributes to the extant literature by developing an integrative model to identify how a wide set of contextual factors can determine the intention to adopt cloud computing and, in turn, influence the actual usage of cloud computing in SMEs in Malaysia as a developing country.

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Section: Theoretical Background and Hypothesismentioning

confidence: 99%

A multifaceted framework for adoption of cloud computing in Malaysian SMEs

Asiaei

Rahim

2019

JSTPM

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“…Cloud Computing is an emerging component of information technology with in network subtechnology. Cloud computing is the virtualization of information technology, infrastructure& services [7,17,61]. Using cloud computing, hardware, software, systems, platform, database, network can be shared using strong Internet connection.…”

Section: Cloud Computing and Advantages Over Educationmentioning

confidence: 99%

Cloud Computing and its Impact in Education, Teaching and Research-A Scientific Review

Paul,

Chatterjee,

Aithal

et al. 2023

SSRN Journal

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“…The drawback of organizational level has no evidence that individual user's industriesbehaviour towards using the CCSS. Ratten, (2020), Song et al (2020), Maqueira-Marín et al (2017 and Wease et al (2018) stipulated that there is a need for more investigation on factors, affecting BICCSS at individualuser's industries level.In future the data storage will completely shift to cloud platform and it is important to know how it is used at individual level (Ratten, 2020, Song et al, 2020, Maqueira-Marín et al, 2017and Wease et al, 2018.Thus, this motivated to our research to analyse the adoption of cloud services at individual level.To the best of our knowledge,a few studies are carried out on cloud storage services in the country like India, in particular CCSS adoption at individual level. Thus, the objective of research is to identify the factors that change and affect BICSS at the individual level.…”

Section: Introductionmentioning

confidence: 99%

Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services

Ahmed

Sahu

et al. 2022

International Journal of Technology and Human Interaction

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The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is explored as a theoretical background to build extended UTAUT2 model with relevant variables for examining the cloud storage services technology acceptance at individual level to respond the current and future SCM operations. The research employed purposive sampling method for data collection. The questionnaire is distributed in booklet format to participants who had experienced in using online cloud storage service platforms (e.g., Google Drive, Microsoft One Drive, etc.). The data are collected from participates dwelling at Chennai metropolitan in South India. The data is analysed by using structural equation modelling technique through Smart PLS 2 software. The performance expectancy, social influence, trust, and perceived speed of access are found to be the strong significant determinants affecting and changing the behavioural intention of individual (customers) towards using cloud storage service technology in managing own firm SCM networks and operations.

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Technology Assessment: Cloud Service Adoption Decision

Cited by 13 publications

References 20 publications

A multifaceted framework for adoption of cloud computing in Malaysian SMEs

A multifaceted framework for adoption of cloud computing in Malaysian SMEs

Cloud Computing and its Impact in Education, Teaching and Research-A Scientific Review

Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services

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