Home / Current Issue / Paper 1704992
The Impact of Cloud Computing On Small and Medium Enterprises: Opportunities and Challenges
Subject area: Science,Engineering and Technology · Area of research: Cloud Computing
Abstract
The majority of companies located all over the globe may be classified as either "small" or "medium" in terms of their size. According to Nowotarski and Paslawski (2017), they are responsible for more than sixty percent of the gross domestic product of the European Union and seventy percent of its labor force. According to the Small Business Administration (2018), small firms are responsible for the creation of more than half of all employment in the United States. Small and medium-sized businesses (also known as SMEs) need simple access to and inexpensive information technology in order to remain competitive in their respective markets and to make lasting contributions to the economies of the nations in which they operate. By using cloud computing (CC), small and medium-sized companies (SMBs) have the potential to save both time and money. This study was a result of the growing interest shown by SMEs in cloud computing, which encouraged us to perform this research. The first of the six primary subjects that will be discussed is the inquiry, "What different kinds of data analysis are utilized?" I was curious about which cloud service providers are presently being considered for use. Find out how often and in what context this topic has been brought up before. Which hypotheses and models do they base their work on? Where would one generally be able to get research of this kind? What strategies do you have in place to persuade other individuals to assist you with this endeavor? In the past, CC reviews would seldom undertake data analysis and would instead focus on criticizing the methodologies used in the research. The purpose of this literature review was to offer potential researchers with information that would be helpful to them as they deliberate on how to approach the data gathering and analysis required for CC studies. The vast majority of economies are highly dependent on small and medium-sized firms (SMEs), which may be explained by the fact that there are so many SMEs and that they employ a significant number of people. The capacity for small and medium-sized businesses to provide new products and services is critical to the development of any economy.
Keywords
Opportunities and Challenges, Cloud Computing, small and medium-sized businesses (SME)
References
[1] Lamia Youseff, Dilma M. Da Silva, Maria Butrico, and Jonathan Appavoo, Cloud Computing and Software Services Theory and Techniques, Syed Ahson and Mohammad Ilyas, Eds. Boca Raton: CRC Press, 2011.
[2] Eshrag Refaee, Shabana Parveen, Khan Mohamed Jarina Begum, Fatima Parveen, M. Chithik Raja, Shashi Kant Gupta, Santhosh Krishnan, "Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications", Wireless Communications and Mobile Computing, vol. 2022, Article ID 5665408, 12 pages, 2022. https://doi.org/10.1155/2022/5665408
[3] Rajesh Kumar Kaushal, Rajat Bhardwaj, Naveen Kumar, Abeer A. Aljohani, Shashi Kant Gupta, Prabhdeep Singh, Nitin Purohit, "Using Mobile Computing to Provide a Smart and Secure Internet of Things (IoT) Framework for Medical Applications", Wireless Communications and Mobile Computing, vol. 2022, Article ID 8741357, 13 pages, 2022. https://doi.org/10.1155/2022/8741357
[4] Adam, I. O., & Musah, A. (2015). Small and Medium Enterprises (SMEs) in the Cloud in Developing Countries: A Synthesis of the Literature and Future Research Directions. Journal of Management and Sustainability, 5(1), 115–139
[5] Ajimoko, O. J. (2018). Considerations for the adoption of cloud-based big data analytics in small business enterprises. Electronic Journal of Information Systems Evaluation, 21, 63–79.
[6] Alkwasi, G. A., Mahmood, A. K., &Baashar, Y. M. (2015). Factors influencing the adoption of cloud computing in SME: A systematic review. 2015 Proceedings of the International Symposium on Mathematical Sciences and Computing Research 2015, (iSMSC), 220-225.
[7] Alshamaila, Y., Papagiannidis, S., & Li, F. (2013). Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework. Journal of Enterprise Information Management, 26(3), 250–275.
[8] Aquilani, B., Silvestri, C., Ruggieri, A., &Gatti, C. (2017). A systematic literature review on total quality management critical success factors and the identification of new avenues of research. The TQM Journal, 29(1), 184-213.
[9] Bhattacherjee, A., & Park, S. C. (2014). Why end-users move to the cloud: A migration- theoretic analysis. European Journal of Information Systems, 23(3), 357–372.
[10] Jerome M. Wendt. (2011) Redefining "SMB", "SME" and "Large Enterprise". [Online].http://www.dcig.com/2011/03/redefining-smb-sme-and-largeenterprise.html
[11] Rana Dababneh and Farah Tukan, "BOOKLET OF STANDARDIZED SMALL AND MEDIUM ENTERPRISES DEFINITION," USAID/JORDAN ECONOMIC OPPORTUNITIES OFFICE, 2007.
[12] European_ Commission, "COMMISSION RECOMMENDATION of 6 May 2003 concerning the definition of micro, small and medium-sized enterprises," Official Journal of the European Union, no. 124, pp. 36-41, 2003.
[13] Shifeng Shang et al., "DABGPM: a double auction Bayesian game-based pricing model in cloud market," in NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing, Berlin, 2010, pp. 155-164.
[14] Rolf Harms and Michael Yamartino, "THE ECONOMICS OF THE CLOUD," Microsoft Research, Organisational Report 2012.
[15] Edge_Strategies_Inc. (2012) 2012 Microsoft/Edge Strategies SMBCloud Adoption Study.
[16] Navaneetha Krishnan Rajagopal, Mankeshva Saini, Rosario Huerta-Soto, Rosa Vílchez-Vásquez, J. N. V. R. Swarup Kumar, Shashi Kant Gupta, Sasikumar Perumal, "Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network", Computational Intelligence and Neuroscience, vol. 2022, Article ID 5613407, 11 pages, 2022. https://doi.org/10.1155/2022/5613407
[17] Navaneetha Krishnan Rajagopal, Naila Iqbal Qureshi, S. Durga, Edwin Hernan Ramirez Asis, Rosario Mercedes Huerta Soto, Shashi Kant Gupta, S. Deepak, "Future of Business Culture: An Artificial Intelligence-Driven Digital Framework for Organization Decision-Making Process", Complexity, vol. 2022, Article ID 7796507, 14 pages, 2022. https://doi.org/10.1155/2022/7796507
[18] Bramah Hazela et al 2022 ECS Trans. 107 2651 https://doi.org/10.1149/10701.2651ecst
[19] Ashish Kumar Pandey et al 2022 ECS Trans. 107 2681 https://doi.org/10.1149/10701.2681ecst
[20] G. S. Jayesh et al 2022 ECS Trans. 107 2715 https://doi.org/10.1149/10701.2715ecst
[21] Shashi Kant Gupta et al 2022 ECS Trans. 107 2927 https://doi.org/10.1149/10701.2927ecst
[22] S. Saxena, D. Yagyasen, C. N. Saranya, R. S. K. Boddu, A. K. Sharma and S. K. Gupta, "Hybrid Cloud Computing for Data Security System," 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), 2021, pp. 1-8, doi: 10.1109/ICAECA52838.2021.9675493.
[23] S. K. Gupta, B. Pattnaik, V. Agrawal, R. S. K. Boddu, A. Srivastava and B. Hazela, "Malware Detection Using Genetic Cascaded Support Vector Machine Classifier in Internet of Things," 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), 2022, pp. 1-6, doi: 10.1109/ICCSEA54677.2022.9936404.
[24] Natarajan, R.; Lokesh, G.H.; Flammini, F.; Premkumar, A.; Venkatesan, V.K.; Gupta, S.K. A Novel Framework on Security and Energy Enhancement Based on Internet of Medical Things for Healthcare 5.0. Infrastructures2023, 8, 22. https://doi.org/10.3390/infrastructures8020022
[25] V. S. Kumar, A. Alemran, D. A. Karras, S. Kant Gupta, C. Kumar Dixit and B. Haralayya, "Natural Language Processing using Graph Neural Network for Text Classification," 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), Chickballapur, India, 2022, pp. 1-5, doi: 10.1109/ICKECS56523.2022.10060655.
[26] M. Sakthivel, S. Kant Gupta, D. A. Karras, A. Khang, C. Kumar Dixit and B. Haralayya, "Solving Vehicle Routing Problem for Intelligent Systems using Delaunay Triangulation," 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), Chickballapur, India, 2022, pp. 1-5, doi: 10.1109/ICKECS56523.2022.10060807.
[27] S. Tahilyani, S. Saxena, D. A. Karras, S. Kant Gupta, C. Kumar Dixit and B. Haralayya, "Deployment of Autonomous Vehicles in Agricultural and using Voronoi Partitioning," 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), Chickballapur, India, 2022, pp. 1-5, doi: 10.1109/ICKECS56523.2022.10060773.
[28] V. S. Kumar, A. Alemran, S. K. Gupta, B. Hazela, C. K. Dixit and B. Haralayya, "Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques," 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), Chickballapur, India, 2022, pp. 1-5, doi: 10.1109/ICKECS56523.2022.10060037.
[29] V. S. Kumar, M. Sakthivel, D. A. Karras, S. Kant Gupta, S. M. Parambil Gangadharan and B. Haralayya, "Drone Surveillance in Flood Affected Areas using Firefly Algorithm," 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), Chickballapur, India, 2022, pp. 1-5, doi: 10.1109/ICKECS56523.2022.10060857.
[30] Parin Somani, Sunil Kumar Vohra, Subrata Chowdhury, Shashi Kant Gupta. "Implementation of a Blockchain-based Smart Shopping System for Automated Bill Generation Using Smart Carts with Cryptographic Algorithms." CRC Press, 2022. https://doi.org/10.1201/9781003269281-11.
[31] Shivlal Mewada, Dhruva Sreenivasa Chakravarthi, S. J. Sultanuddin, Shashi Kant Gupta. "Design and Implementation of a Smart Healthcare System Using Blockchain Technology with A Dragonfly Optimization-based Blowfish Encryption Algorithm." CRC Press, 2022. https://doi.org/10.1201/9781003269281-10.
[32] Ahmed Muayad Younus, Mohanad S.S. Abumandil, Veer P. Gangwar, Shashi Kant Gupta. " AI-Based Smart Education System for a Smart City Using an Improved Self-Adaptive Leap-Frogging Algorithm." CRC Press, 2022. https://doi.org/10.1201/9781003252542-14.
[33] Rosak-Szyrocka, J., Żywiołek, J., & Shahbaz, M. (Eds.). (2023). Quality Management, Value Creation and the Digital Economy (1st ed.). Routledge. https://doi.org/10.4324/9781003404682
[34] Dr. Shashi Kant Gupta, Hayath T M., Lack of it Infrastructure for ICT Based Education as an Emerging Issue in Online Education, TTAICTE. 2022 July; 1(3): 19-24. Published online 2022 July, doi.org/10.36647/TTAICTE/01.03.A004
[35] Hayath T M., Dr. Shashi Kant Gupta, Pedagogical Principles in Learning and Its Impact on Enhancing Motivation of Students, TTAICTE. 2022 October; 1(2): 19-24. Published online 2022 July, doi.org/10.36647/TTAICTE/01.04.A004
[36] Shaily Malik, Dr. Shashi Kant Gupta, “The Importance of Text Mining for Services Management”, TTIDMKD. 2022 November; 2(4): 28-33. Published online 2022 November doi.org/10.36647/TTIDMKD/02.04.A006
[37] Dr. Shashi Kant Gupta, Shaily Malik, “Application of Predictive Analytics in Agriculture”, TTIDMKD. 2022 November; 2(4): 1-5. Published online 2022 November doi.org/10.36647/TTIDMKD/02.04.A001
[38] Dr. Shashi Kant Gupta, Budi Artono, “Bioengineering in the Development of Artificial Hips, Knees, and other joints. Ultrasound, MRI, and other Medical Imaging Techniques”, TTIRAS. 2022 June; 2(2): 10–15. Published online 2022 June doi.org/10.36647/TTIRAS/02.02.A002
[39] Dr. Shashi Kant Gupta, Dr. A. S. A. Ferdous Alam, “Concept of E Business Standardization and its Overall Process” TJAEE 2022 August; 1(3): 1–8. Published online 2022 August
[40] A. Kishore Kumar, A. Alemran, D. A. Karras, S. Kant Gupta, C. Kumar Dixit and B. Haralayya, "An Enhanced Genetic Algorithm for Solving Trajectory Planning of Autonomous Robots," 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, 2023, pp. 1-6, doi: 10.1109/ICICACS57338.2023.10099994
[41] S. K. Gupta, V. S. Kumar, A. Khang, B. Hazela, N. T and B. Haralayya, "Detection of Lung Tumor using an efficient Quadratic Discriminant Analysis Model," 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), Mysore, India, 2023, pp. 1-6, doi: 10.1109/ICRTEC56977.2023.10111903.
[42] S. K. Gupta, A. Alemran, P. Singh, A. Khang, C. K. Dixit and B. Haralayya, "Image Segmentation on Gabor Filtered images using Projective Transformation," 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), Mysore, India, 2023, pp. 1-6, doi: 10.1109/ICRTEC56977.2023.10111885.
[43] S. K. Gupta, S. Saxena, A. Khang, B. Hazela, C. K. Dixit and B. Haralayya, "Detection of Number Plate in Vehicles using Deep Learning based Image Labeler Model," 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), Mysore, India, 2023, pp. 1-6, doi: 10.1109/ICRTEC56977.2023.10111862.
[44] S. K. Gupta, W. Ahmad, D. A. Karras, A. Khang, C. K. Dixit and B. Haralayya, "Solving Roulette Wheel Selection Method using Swarm Intelligence for Trajectory Planning of Intelligent Systems," 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), Mysore, India, 2023, pp. 1-5, doi: 10.1109/ICRTEC56977.2023.10111861.
[45] Shashi Kant Gupta, Olena Hrybiuk, NL Sowjanya Cherukupalli, Arvind Kumar Shukla (2023). Big Data Analytics Tools, Challenges and Its Applications (1st Ed.), CRC Press. ISBN 9781032451114
[46] Shobhna Jeet, Shashi Kant Gupta, Olena Hrybiuk, Nupur Soni (2023). Detection of Cyber Attacks in IoT-based Smart Cities using Integrated Chain Based Multi-Class Support Vector Machine (1st Ed.), CRC Press. ISBN 9781032451114
[47] Parin Somani, Shashi Kant Gupta, Chandra Kumar Dixit, Anchal Pathak (2023). AI-based Competency Model and Design in the Workforce Development System (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070
[48] Shashi Kant Gupta, Alex Khang, Parin Somani, Chandra Kumar Dixit, Anchal Pathak (2023). Data Mining Processes and Decision-Making Models in Personnel Management System (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070
[49] Alex Khang, Shashi Kant Gupta, Chandra Kumar Dixit, Parin Somani (2023). Data-driven Application of Human Capital Management Databases, Big Data, and Data Mining (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070
[50] Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta, Anchal Pathak (2023). Data-centric Predictive Modelling of Turnover Rate and New Hire in Workforce Management System (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070
[51] Anchal Pathak, Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta (2023). Prediction of Employee’s Performance Using Machine Learning (ML) Techniques (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070
[52] Worakamol Wisetsri, Varinder Kumar, Shashi Kant Gupta, “Managerial Autonomy and Relationship Influence on Service Quality and Human Resource Performance”, Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, pp2, 2021.
How to cite this paper
@article{1704992,
author = {Dr. Amit Mishra},
title = {The Impact of Cloud Computing On Small and Medium Enterprises: Opportunities and Challenges},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {2},
pages = {366-374},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704992.pdf},
abstract = {The majority of companies located all over the globe may be classified as either "small" or "medium" in terms of their size. According to Nowotarski and Paslawski (2017), they are responsible for more than sixty percent of the gross domestic product of the European Union and seventy percent of its labor force. According to the Small Business Administration (2018), small firms are responsible for the creation of more than half of all employment in the United States. Small and medium-sized businesses (also known as SMEs) need simple access to and inexpensive information technology in order to remain competitive in their respective markets and to make lasting contributions to the economies of the nations in which they operate. By using cloud computing (CC), small and medium-sized companies (SMBs) have the potential to save both time and money. This study was a result of the growing interest shown by SMEs in cloud computing, which encouraged us to perform this research. The first of the six primary subjects that will be discussed is the inquiry, "What different kinds of data analysis are utilized?" I was curious about which cloud service providers are presently being considered for use. Find out how often and in what context this topic has been brought up before. Which hypotheses and models do they base their work on? Where would one generally be able to get research of this kind? What strategies do you have in place to persuade other individuals to assist you with this endeavor? In the past, CC reviews would seldom undertake data analysis and would instead focus on criticizing the methodologies used in the research. The purpose of this literature review was to offer potential researchers with information that would be helpful to them as they deliberate on how to approach the data gathering and analysis required for CC studies. The vast majority of economies are highly dependent on small and medium-sized firms (SMEs), which may be explained by the fact that there are so many SMEs and that they employ a significant number of people. The capacity for small and medium-sized businesses to provide new products and services is critical to the development of any economy.},
keywords = {Opportunities and Challenges, Cloud Computing, small and medium-sized businesses (SME)},
month = {August},
}