scholarly journals Organisational factors affecting cloud computing adoption in small and medium enterprises (SMEs) in service sector

2017 ◽  
Vol 121 ◽  
pp. 976-981 ◽  
Author(s):  
Haslinda Hassan
2020 ◽  
Vol 4 (4) ◽  
pp. 237
Author(s):  
Anderes Gui ◽  
Yudi Fernando ◽  
Muhammad Shabir Shaharudin ◽  
Mazita Mokhtar ◽  
I Gusti Made Karmawan ◽  
...  

Cloud computing is one of the pillars of the Industrial Revolution 4.0. Cloud computing provides ample benefits to companies such as mobility, ease of access, and enable collaboration. Nevertheless, the impact of cloud computing on the micro, small and medium enterprises (MSMEs) is not well established. This research aims to classify the factors affecting the acceptance of cloud computing in Indonesian MSMEs. A total of 135 participants participated in this analysis. The TOE Structure is used in this analysis. Methods of data collection using Google form. The details have been analysed with SPSS and SmartPLS. The findings demonstrated that top management encouragement and relative advantages have a positive impact on the adoption of cloud computing in MSMEs in Indonesia. In order to increase the adoption of cloud-based computing in Indonesia, cloud-based businesses need to concentrate on these two reasons so that MSMEs in Indonesia can embrace more cloud computing. Furthermore, the improvement of cloud computing adoption should come from government policy and incentives. Theoretically, this research helps to establish the TOE framework by providing empirical evidence. This research also explains that the TOE framework can help companies to understand critical domains that impact their businesses and which domain companies should focus.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abul Khayer ◽  
Nusrat Jahan ◽  
Md. Nahin Hossain ◽  
Md. Yahin Hossain

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.


Author(s):  
Anh D. Ta

This chapter explores Cloud computing adoption strategies for small and medium enterprises (SMEs) and microenterprise that can enhance the economic growth of local industries in developing countries. This focus is based on the recognitions that (1) economic growths of local industries reduce poverty through the creation of new jobs for poor people to earn a living wage and support their families, and (2) there is a lack of research on Cloud computing adoption strategy that addresses the unique constraints of small and medium enterprises (SMEs) in developing countries.


2019 ◽  
Vol 26 (3) ◽  
pp. 990-1019 ◽  
Author(s):  
Rakesh D. Raut ◽  
Bhaskar B. Gardas ◽  
Balkrishna E. Narkhede ◽  
Vaibhav S. Narwane

PurposeThe purpose of this paper is to identify the critical factors influencing the cloud computing adoption (CCA) in the manufacturing micro, small and medium enterprises (MSMEs) by employing a decision-making trial and evaluation laboratory (DEMATEL) methodology.Design/methodology/approachThrough literature review and expert opinions, 30 significant factors were identified, and then a DEMATEL approach was applied for exploring the cause–effect relationship between the factors.FindingsThe results of study highlighted that five factors, namely, “hardware scalability and standardisation”, “cost (subscription fees, maintenance cost and implementation cost (CS1)”, “innovation”, “installation and up gradation (CS28)”, and “quality of service” were the most significant factors influencing the CCA in the case sector.Research limitations/implicationsThe DEMATEL model was developed by considering expert inputs, and these inputs could be biased which can influence the reliability of the model. This study guides the organisational managers, cloud service providers and governmental organisations in formulating the new policies/strategies or modifying the existing ones for the effective CCA in the case sector.Originality/valueFor the first time. interdependency between the critical factors influencing CCA was discussed by employing the DEMATEL approach in the Indian manufacturing MSMEs context.


Author(s):  
Anh D. Ta

This chapter explores Cloud computing adoption strategies for small and medium enterprises (SMEs) and microenterprise that can enhance the economic growth of local industries in developing countries. This focus is based on the recognitions that (1) economic growths of local industries reduce poverty through the creation of new jobs for poor people to earn a living wage and support their families, and (2) there is a lack of research on Cloud computing adoption strategy that addresses the unique constraints of small and medium enterprises (SMEs) in developing countries.


Author(s):  
Rianita Puspa Sari ◽  
Aditia Ayu Rahma Nabila ◽  
Aulia Fashanah Hadining ◽  
Deri Teguh Santoso

The existence of Industry 4.0 has a disruptive impact on the economic sector, which results in a complex level of competition. Anticipating this, the Indonesian government launched making Indonesia 4.0 in an effort to improve the performance and competitiveness of the national industry. One of the priorities is Micro, Small and Medium Enterprises (MSMEs), because MSMEs are the backbone of the economic sector in Indonesia. On the other, MSMEs have a number of constraints in the form of limited capital and costs, lack of infrastructure and facilities, lack of work networks, inadequate human resources in the field of business and low use of information technology, which makes it difficult to compete. Therefore, MSMEs need information technology solutions that meet their needs. Adoption of cloud computing is one of the information technologies that is a solution for MSMEs to be able to improve their performance towards a better direction so that they can be competitive. The adoption of cloud computing in MSMEs has several consideration factors that are seen from the aspect of TOE. The purpose of this study, in the form of analysis of decision factors from the aspect of TOE in the adoption of cloud computing to the performance of MSMEs in Karawang Regency, using the SEM-PLS method with 100 samples of MSMEs. The results of this study indicate that the aspects of TOE affect cloud computing adoption and MSME performance, while cloud computing adoption does not affect the performance of MSMEs.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Ge Zhang ◽  
Weijie Wang ◽  
Yikai Liang

To survive in a competitive environment, small and medium enterprises (SMEs) have had to adapt to the digital environment in order to adjust to customer needs globally, particularly in the post-COVID-19 world. The advantages of cloud computing (e.g., flexibility, scalability, and low entry cost) provide opportunities for SMEs with a restricted budget and limited resources. To understand how SMEs adopt cloud computing in a complex digital environment, this study examines how antecedents combine with each other to explain the high adoption of cloud computing. From the perspectives of holism and set theory, we draw on complexity and configuration theories, present a conceptual model including seven antecedents based on the technology-organization-environment framework, and conduct an asymmetric fuzzy-set qualitative comparative analysis. Through an empirical study with 123 Chinese companies, we identify nine combinations (configurations) of determinant antecedents that lead to the high adoption of cloud computing. The results show that none of the factors are indispensable to explain a high adoption on their own; instead, they are insufficient but necessary parts of the causal combinations that explain a high adoption. This study contributes to the literature on cloud computing adoption by extending current knowledge on how antecedents combine to increase the adoption and identify specific patterns of SMEs for whom these factors are essential and greatly influence their adoption.


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