The Benefits of Cloud Computing

2019 ◽  
pp. 1333-1345
Author(s):  
Georgios Chatzithanasis ◽  
Christos Michalakelis
Keyword(s):  
Cloud Computing ◽  
Case Studies ◽  
Software Maintenance ◽  
Small And Medium Enterprises ◽  
Cost Savings ◽  
Business Environment ◽  
Cloud Services ◽  
Third Party ◽  
It Infrastructure ◽  
Medium Enterprises

Cloud computing is gaining ground in the global ICT market and day by day a significant number of Small and Medium Enterprises (SMEs) are adopting cloud services with sole purpose to improve their business environment and become more efficient, competitive and productive. Migrating a business IT infrastructure to the cloud offers reduction on server and storage costs, software maintenance expenditures, network and energy expenses as well as costs associated with disaster recovery. Since the cloud computing model works on a “pay-as-you-go” basis, it provides the option to pay for what is used. Thus, its adoption can offer slow start-up or expansion costs, creating an environment for rapid innovation and development. Into that context, this article presents the Greek side of cloud evolution through two representative case studies, the migration of an IT system of a Greek industry, from an in-house data center to Google Cloud and a study of the “in-house” IT infrastructure of the National Confederation of Hellenic Commerce. Findings from the Greek industry, indicate that the cloud proposal could cost 50%, or 24% less per month (depending on the solution). As far as the National Confederation of Hellenic Commerce is concerned, the article proposes only a new measure of security using Cloud services for reasons that will be discussed at the case study. Both case studies take into account the present costs of the IT system (energy consumption, third party contracts and maintenance) and propose alternatives through cloud migration. Results indicate that cloud computing offers benefits and significant cost savings for both studied cases, showing promising ways for the successful adoption of the cloud.

The Benefits of Cloud Computing

2018 ◽  
Vol 9 (2) ◽  
pp. 61-73
Author(s):  
Georgios Chatzithanasis ◽  
Christos Michalakelis
Keyword(s):  
Cloud Computing ◽  
Case Studies ◽  
Software Maintenance ◽  
Small And Medium Enterprises ◽  
Cost Savings ◽  
Business Environment ◽  
Cloud Services ◽  
Third Party ◽  
It Infrastructure ◽  
Medium Enterprises

Cloud computing is gaining ground in the global ICT market and day by day a significant number of Small and Medium Enterprises (SMEs) are adopting cloud services with sole purpose to improve their business environment and become more efficient, competitive and productive. Migrating a business IT infrastructure to the cloud offers reduction on server and storage costs, software maintenance expenditures, network and energy expenses as well as costs associated with disaster recovery. Since the cloud computing model works on a “pay-as-you-go” basis, it provides the option to pay for what is used. Thus, its adoption can offer slow start-up or expansion costs, creating an environment for rapid innovation and development. Into that context, this article presents the Greek side of cloud evolution through two representative case studies, the migration of an IT system of a Greek industry, from an in-house data center to Google Cloud and a study of the “in-house” IT infrastructure of the National Confederation of Hellenic Commerce. Findings from the Greek industry, indicate that the cloud proposal could cost 50%, or 24% less per month (depending on the solution). As far as the National Confederation of Hellenic Commerce is concerned, the article proposes only a new measure of security using Cloud services for reasons that will be discussed at the case study. Both case studies take into account the present costs of the IT system (energy consumption, third party contracts and maintenance) and propose alternatives through cloud migration. Results indicate that cloud computing offers benefits and significant cost savings for both studied cases, showing promising ways for the successful adoption of the cloud.

Analysis of Cloud Services on Business Processes in the Digitalization of the Consumer Product Industry

2016 ◽  
pp. 1351-1387 ◽  
Author(s):  
Ute Riemann
Keyword(s):  
Cloud Computing ◽  
Business Process ◽  
Price Competition ◽  
Business Processes ◽  
Business Environment ◽  
Cloud Services ◽  
Consumer Product ◽  
It Infrastructure ◽  
Evaluation Approach ◽  
Product Industry

Nowadays, cloud computing is becoming popular within the business environment. Cloud services is not new, but the evolution of mobility, connectivity, and computing hardware has made it interesting for the business. Cloud services provides a way to increase the capacity or add capabilities dynamically without investing in new IT infrastructure, training new personnel, or licensing new software. Focusing on the consumer product goods (CPG) market with its mainly small and medium-sized companies, we see dramatic changes from the market demands, logistic challenges and price competition. The purpose of this chapter is therefore to present the positioning of cloud services in the CPG industry and to outline an approach that enables a typical company in the CPG industry to link the current capabilities of cloud services this to a business-process-driven evaluation approach to provide a transparency for the decision towards cloud services. The result of the business process investigation underlies assumptions and inductive conclusions.

Analysis of Cloud Services on Business Processes in the Digitalization of the Consumer Product Industry

2015 ◽  
pp. 129-165 ◽  
Author(s):  
Ute Riemann
Keyword(s):  
Cloud Computing ◽  
Business Process ◽  
Price Competition ◽  
Business Processes ◽  
Business Environment ◽  
Cloud Services ◽  
Consumer Product ◽  
It Infrastructure ◽  
Evaluation Approach ◽  
Product Industry

Nowadays, cloud computing is becoming popular within the business environment. Cloud services is not new, but the evolution of mobility, connectivity, and computing hardware has made it interesting for the business. Cloud services provides a way to increase the capacity or add capabilities dynamically without investing in new IT infrastructure, training new personnel, or licensing new software. Focusing on the consumer product goods (CPG) market with its mainly small and medium-sized companies, we see dramatic changes from the market demands, logistic challenges and price competition. The purpose of this chapter is therefore to present the positioning of cloud services in the CPG industry and to outline an approach that enables a typical company in the CPG industry to link the current capabilities of cloud services this to a business-process-driven evaluation approach to provide a transparency for the decision towards cloud services. The result of the business process investigation underlies assumptions and inductive conclusions.

scholarly journals Optimized Job Scheduling Algorithm in Cloud Computing Environment

2020 ◽  
Vol 9 (4) ◽  
pp. 2236-2239
Keyword(s):  
Cloud Computing ◽  
Job Scheduling ◽  
Small And Medium Enterprises ◽  
Scheduling Algorithm ◽  
Optimal Solution ◽  
Cloud Services ◽  
Strong Trend ◽  
Medium Enterprises ◽  
Cloud Technologies ◽  
Job Scheduling Algorithm

There is a strong trend towards cloud technologies in the SME(Small and Medium Enterprises) sector, largely due to cost reduction, capex availability, and sometimes by collaboration features. Now a days so many startup companies are getting emerged and for them buying the resources for one time usage it becomes more expensive so they are preferring to using the cloud services(SLA) to overcome all this problems. In Cloud computing it essential to check weather a resource is available for allocating or not and allocating the jobs for the clients request is the big task. There are many job scheduling algorithm already proposed by the researchers to implement in cloud environment. After studying there algorithm we have came up with the most effective job scheduling algorithm. It is totally depending on Size and Arrival time of the job. By implementing our proposed algorithm we can obtain the better optimal solution to improve the overall performance of the system and gives more effective results compared to other job scheduling algorithms.

scholarly journals Understanding the Complex Adoption Behavior of Cloud Services by SMEs Based on Complexity Theory: A Fuzzy Sets Qualitative Comparative Analysis (fsQCA)

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Ge Zhang ◽  
Weijie Wang ◽  
Yikai Liang
Keyword(s):  
Cloud Computing ◽  
Comparative Analysis ◽  
Current Knowledge ◽  
Small And Medium Enterprises ◽  
Qualitative Comparative Analysis ◽  
Cloud Services ◽  
Digital Environment ◽  
Cloud Computing Adoption ◽  
Entry Cost ◽  
Medium Enterprises

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.

scholarly journals Extrapolative Collaborative Filtering Recommendation System with Word2Vec for Purchased Product for SMEs

2021 ◽  
Vol 13 (13) ◽  
pp. 7156
Author(s):  
Kyoung Jun Lee ◽  
Yu Jeong Hwangbo ◽  
Baek Jeong ◽  
Ji Woong Yoo ◽  
Kyung Yang Park
Keyword(s):  
Collaborative Filtering ◽  
High Performance ◽  
Recommendation System ◽  
Small And Medium Enterprises ◽  
Personal Information ◽  
Business Environment ◽  
Share Data ◽  
Artificial Intelligence Technology ◽  
Medium Enterprises ◽  
Start Ups

Many small and medium enterprises (SMEs) want to introduce recommendation services to boost sales, but they need to have sufficient amounts of data to introduce these recommendation services. This study proposes an extrapolative collaborative filtering (ECF) system that does not directly share data among SMEs but improves recommendation performance for small and medium-sized companies that lack data through the extrapolation of data, which can provide a magical experience to users. Previously, recommendations were made utilizing only data generated by the merchant itself, so it was impossible to recommend goods to new users. However, our ECF system provides appropriate recommendations to new users as well as existing users based on privacy-preserved payment transaction data. To accomplish this, PP2Vec using Word2Vec was developed by utilizing purchase information only, excluding personal information from payment company data. We then compared the performances of single-merchant models and multi-merchant models. For the merchants with more data than SMEs, the performance of the single-merchant model was higher, while for the SME merchants with fewer data, the multi-merchant model’s performance was higher. The ECF System proposed in this study is more suitable for the real-world business environment because it does not directly share data among companies. Our study shows that AI (artificial intelligence) technology can contribute to the sustainability and viability of economic systems by providing high-performance recommendation capability, especially for small and medium-sized enterprises and start-ups.

Cloud computing in human resource management (HRM) system for small and medium enterprises (SMEs)

2016 ◽  
Vol 84 (1-4) ◽  
pp. 485-496 ◽  
Author(s):  
Xiu Li Wang ◽  
Li Wang ◽  
Zhuming Bi ◽  
Yang Yang Li ◽  
Yingcheng Xu
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Small And Medium Enterprises ◽  
Medium Enterprises

Knowledge Management: Case Studies in SMEs and Evaluation of an Integrated Approach

2005 ◽  
Vol 04 (02) ◽  
pp. 95-111 ◽  
Author(s):  
Kuan Yew Wong ◽  
Elaine Aspinwall
Keyword(s):  
Knowledge Management ◽  
Case Studies ◽  
Small And Medium Enterprises ◽  
Integrated Approach ◽  
Business Sector ◽  
Integrated Framework ◽  
Implementation Effort ◽  
Medium Enterprises ◽  
The Way

To date, very few publications have been found that describe how small and medium enterprises (SMEs) are adopting knowledge management (KM). The same is true concerning attempts to develop a framework to help them implement it. To redress this, this paper presents the results of four case studies conducted in UK SMEs to examine their KM implementation effort. In addition, a new integrated framework developed by the authors was evaluated to determine its applicability in this business sector. The methodology employed to conduct the studies is described and each of the cases is then presented. The results are analysed and key lessons or findings gathered from the companies are highlighted. Comments received from the companies with respect to the integrated framework were positive and favourable. It is hoped that the information accrued from the case studies, together with the integrated framework, will help to pave the way for SMEs to accomplish KM.

Effects of cloud computing assimilation on supply chain financing risks of SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qiang Lu ◽  
Jinliang Chen ◽  
Hua Song ◽  
Xiangyu Zhou
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Supply Chain Integration ◽  
Content Type ◽  
Supply Chain Financing ◽  
Medium Enterprises ◽  
The Relationship ◽  
Moderating Role

Purpose The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness. Design/methodology/approach Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses. Findings The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks. Originality/value To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.

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