International Peer-Reviewed Journal•Open Access•ISSN 2456-8880
irejournals@gmail.com•+91-7433024337

Home / Current Issue / Paper 1705274

1705274 Vol 7 · Issue 6 Download Paper

The Impact of Digital Transformation On Small and Medium Enterprises (SMEs) In The USA: Opportunities and Challenges

Reena Faisal Carl Selasie Amekudzi Samira Kamran Beryl Fonkem Obah Tawo Martins Awofadeju

Subject area: Science,Engineering and Technology  ·  Area of research: ICT

Abstract

This paper discusses the impact of digital transformation on small and medium enterprises (SMEs) in the United States, both the opportunities it opens up and the challenges it poses. SMEs play a critical role in contributing to economic growth, yet many SMEs still lag behind larger firms in their adoption of digital technologies due to limited resources and technical barriers, among other things. This study highlights these benefits of digital transformation for SMEs ? better operational efficiency, stronger customer relationships and wider market access ? through a review of existing research. But it also highlights serious challenges, including high costs of implementation, cybersecurity risks and a lack of digital expertise. The study employs a mixed-methods approach, collecting insights from stakeholders of SMEs to gain a deeper understanding of the practical challenges and potentialities of digital adoption. The two however (surely for all SMEs), have one major caveat: Truly maximizing the opportunity presented by digital tools is considerable but many SMEs struggle to adopt these tools, largely constrained by finances and skills. The paper calling for focused approaches to support SMEs against these challenges ? including government assistance, tailored training programs, and better co-operation between the public and private sectors. Overcoming these obstacles can enable SMEs to leverage the full potential of digital technologies, enhancing their competitiveness and sustainability in an increasingly digitalizing economy. The last pointers will focus on how to bridge the digital gap and promote digital transformation across the SME landscape.

Keywords

Digital Transformation, Small and Medium Enterprises (SMEs), USA, Opportunities, Challenges

References

[1] Abahassine, A. (2023). Innovating STEM Curriculum: How Technology-Driven Approaches Strengthen Student Retention. European Journal of Innovation in Nonformal Education, 3(8), 66-71.

[2] Sithole, A., Chiyaka, E. T., McCarthy, P., Mupinga, D. M., Bucklein, B. K., & Kibirige, J. (2017). Student attraction, persistence and retention in STEM programs: Successes and continuing challenges. Higher Education Studies, 7(1), 46-59.

[3] Esfahani, M. N., & Bhattacharya, S. (2023). Retention and Attrition in US STEM Education with the Help of Computer Technology and Curriculum Development. Valley International Journal Digital Library, 2806-2814.

[4] Preyaa Atri, "Design and Implementation of High-Throughput Data Streams using Apache Kafka for Real-Time Data Pipelines", International Journal of Science and Research (IJSR), Volume 7 Issue 11, November 2018, pp. 1988-1991, https://www.ijsr.net/getabstract.php?paperid=SR2442218431

[5] Raman, P. K. (2022). Omnichannel Commerce in the Grocery Sector: A Comparative Study of India, UK, and US with Technological Insights on APIs and Headless Commerce. Journal of Science & Technology, 3(3), 136-200.

[6] Preyaa Atri, "Optimizing Financial Services Through Advanced Data Engineering: A Framework for Enhanced Efficiency and Customer Satisfaction", International Journal of Science and Research (IJSR), Volume 7 Issue 12, December 2018, pp. 1593-1596, https://www.ijsr.net/getabstract.php?paperid=SR24422184930

[7] Esfahani, M. N. (2022). Shaping STEM Pathways: The Role of Language Education Policies in Guiding Future Engineers in the USA. Valley International Journal Digital Library, 2488-2498.

[8] Preyaa Atri, "Enhancing Big Data Interoperability: Automating Schema Expansion from Parquet to BigQuery", International Journal of Science and Research (IJSR), Volume 8 Issue 4, April 2019, pp. 2000-2002, https://www.ijsr.net/getabstract.php?paperid=SR24522144712

[9] JOSHI, D., SAYED, F., BERI, J., & PAL, R. (2021). An efficient supervised machine learning model approach for forecasting of renewable energy to tackle climate change. Int J Comp Sci Eng Inform Technol Res, 11, 25-32.

[10] Preyaa Atri, "Unlocking Data Potential: The GCS XML CSV Transformer for Enhanced Accessibility in Google Cloud", International Journal of Science and Research (IJSR), Volume 8 Issue 10, October 2019, pp. 1870-1871, https://www.ijsr.net/getabstract.php?paperid=SR2460814522

[11] Joshi, D., Sayed, F., Saraf, A., Sutaria, A., & Karamchandani, S. (2021). Elements of Nature Optimized into Smart Energy Grids using Machine Learning. Design Engineering, 1886-1892.

[12] Preyaa Atri, "Enhancing Data Engineering and AI Development with the 'Consolidate-csv-files-from-gcs' Python Library", International Journal of Science and Research (IJSR), Volume 9 Issue 5, May 2020, pp. 1863-1865, https://www.ijsr.net/getabstract.php?paperid=SR24522151121

[13] Joshi, D., Parikh, A., Mangla, R., Sayed, F., & Karamchandani, S. H. (2021). AI Based Nose for Trace of Churn in Assessment of Captive Customers. Turkish Online Journal of Qualitative Inquiry, 12(6).

[14] Preyaa Atri, "Advancing Financial Inclusion through Data Engineering: Strategies for Equitable Banking", International Journal of Science and Research (IJSR), Volume 11 Issue 8, August 2022, pp. 1504-1506, https://www.ijsr.net/getabstract.php?paperid=SR24422190134

[15] Khambaty, A., Joshi, D., Sayed, F., Pinto, K., & Karamchandani, S. (2022, January). Delve into the Realms with 3D Forms: Visualization System Aid Design in an IOT-Driven World. In Proceedings of International Conference on Wireless Communication: ICWiCom 2021 (pp. 335-343). Singapore: Springer Nature Singapore.

[16] Medavarapu, S. V. (2023). Implementing Fault-Tolerant Distributed Systems with Azure Service Fabric and. NET Core. North American Journal of Engineering Research, 4(3).

[17] Preyaa Atri, "Empowering AI with Efficient Data Pipelines: A Python Library for Seamless Elasticsearch to BigQuery Integration", International Journal of Science and Research (IJSR), Volume 12 Issue 5, May 2023, pp. 2664-2666, https://www.ijsr.net/getabstract.php?paperid=SR24522145306

[18] Khambati, A. (2021). Innovative Smart Water Management System Using Artificial Intelligence. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(3), 4726-4734.

[19] Medavarapu, S. V. (2020). State Management Techniques in Blazor Applications. North American Journal of Engineering Research, 1(3).

[20] Sithole, A., Chiyaka, E. T., McCarthy, P., Mupinga, D. M., Bucklein, B. K., & Kibirige, J. (2017). Student attraction, persistence and retention in STEM programs: Successes and continuing challenges. Higher Education Studies, 7(1), 46-59.Khambati, A., Pinto, K., Joshi, D., & Karamchandani, S. H. (2021). Innovative Smart Water Management System Using Artificial Intelligence. Turkish Journal of Computer and Mathematics Education, 12(3), 4726-4734.

[21] Preyaa Atri. (2021). Automated Object Deletion in Google Cloud Storage: Introducing the Clean-up-gcs-bucket Library. European Journal of Advances in Engineering and Technology, 8(7), 79–83. https://doi.org/10.5281/zenodo.11408114

[22] Khambati, A., Pinto, K., Joshi, D., & Karamchandani, S. H. (2021). Innovative Smart Water Management System Using Artificial Intelligence. Turkish Journal of Computer and Mathematics Education, 12(3), 4726-4734.

[23] Cromley, J. G., Perez, T., & Kaplan, A. (2016). Undergraduate STEM achievement and retention: Cognitive, motivational, and institutional factors and solutions. Policy Insights from the Behavioral and Brain Sciences, 3(1), 4-11.

[24] Preyaa Atri. (2021). Efficiently Handling Streaming JSON Data: A Novel Library for GCS-to-BigQuery Ingestion. European Journal of Advances in Engineering and Technology, 8(10), 96–99. https://doi.org/10.5281/zenodo.11408124

[25] Preyaa Atri. (2021). Efficient Data Transformation on Google Cloud Storage: A Python Library for Converting CSV to Parquet. European Journal of Advances in Engineering and Technology, 8(3), 59–62. https://doi.org/10.5281/zenodo.11408142

[26] Dagley, M., Georgiopoulos, M., Reece, A., & Young, C. (2016). Increasing retention and graduation rates through a STEM learning community. Journal of College Student Retention: Research, Theory & Practice, 18(2), 167-182.

[27] Preyaa Atri. (2023). Advanced Workflow Management and Automation Using AlteryxConnector: A Python-Based Approach. Journal of Scientific and Engineering Research, 10(1), 74–78. https://doi.org/10.5281/zenodo.11216278

[28] Estrada, M., Burnett, M., Campbell, A. G., Campbell, P. B., Denetclaw, W. F., Gutiérrez, C. G., ... & Zavala, M. (2016). Improving underrepresented minority student persistence in STEM. CBE—Life Sciences Education, 15(3), es5.

[29] Preyaa Atri. (2023). Enhancing the reliability and accuracy of data pipelines through effective testing and validation strategies: A comprehensive approach. European Journal of Advances in Engineering and Technology, 10(9), 52–56. https://doi.org/10.5281/zenodo.11213814

[30] Kennedy, T. J., & Odell, M. R. (2014). Engaging students in STEM education. Science education international, 25(3), 246-258.

[31] Preyaa Atri. (2024). Automating BigQuery Dependency Management with Email Alerts: The BigQuery_dependency_email_trigger Library. European Journal of Advances in Engineering and Technology, 11(1), 52–55. https://doi.org/10.5281/zenodo.11909523

[32] Hayden, K., Ouyang, Y., Scinski, L., Olszewski, B., & Bielefeldt, T. (2011). Increasing student interest and attitudes in STEM: Professional development and activities to engage and inspire learners. Contemporary issues in technology and teacher education, 11(1), 47-69.

[33] Atri P. Enabling AI Work flows: A Python Library for Seamless Data Transfer between Elasticsearch and Google Cloud Storage. J Artif Intell Mach Learn & Data Sci 2022, 1(1), 489-491. DOI: doi.org/10.51219/JAIMLD/preyaa-atri/132

[34] Dhar Ph D, M. (2017). STEM Center for Student Retention and Success: A Proposal.

[35] Atri P. Cloud Storage Optimization Through Data Compression: Analyzing the Compress-CSV-Files-GCS-Bucket Library. J Artif Intell Mach Learn & Data Sci 2023, 1(3), 498-500. DOI: doi.org/10.51219/JAIMLD/preyaa-atri/134

[36] Brown, L. K. (2024). Introduction to the STEM Student Success Model. In STEM Education-Recent Developments and Emerging Trends. IntechOpen.

[37] Atri P. Mitigating Downstream Disruptions: A Future-Oriented Approach to Data Pipeline Dependency Management with the GCS File Dependency Monitor. J Artif Intell Mach Learn & Data Sci 2023, 1(4), 635-637. DOI: doi.org/10.51219/ JAIMLD/preyaa-atri/163

[38] Lynch, S. J., Burton, E. P., Behrend, T., House, A., Ford, M., Spillane, N., ... & Means, B. (2018). Understanding inclusive STEM high schools as opportunity structures for underrepresented students: Critical components. Journal of Research in Science Teaching, 55(5), 712-748.

[39] Preyaa Atri (2022) Streamlined Data Extraction and Automated Email Distribution: The BigQuery Email Extractor Approach. Journal of Mathematical & Computer Applications. SRC/JMCA-201. DOI: doi.org/10.47363/JMCA/2022(1)166

[40] Al Hamad, N. M., Adewusi, O. E., Unachukwu, C. C., Osawaru, B., & Chisom, O. N. (2024). A review on the innovative approaches to STEM education. International Journal of Science and Research Archive, 11(1), 244-252.

[41] Atri, P. (2024). Enhancing Big Data Security through Comprehensive Data Protection Measures: A Focus on Securing Data at Rest and In-Transit. International Journal of Computing and Engineering, 5(4), 44–55. https://doi.org/10.47941/ijce.1920

How to cite this paper

Reena Faisal, Carl Selasie Amekudzi, Samira Kamran, Beryl Fonkem, Obah Tawo; Martins Awofadeju "The Impact of Digital Transformation On Small and Medium Enterprises (SMEs) In The USA: Opportunities and Challenges" Iconic Research And Engineering Journals Volume 7 Issue 6 2023 Page 400-413
Reena Faisal, Carl Selasie Amekudzi, Samira Kamran, Beryl Fonkem, Obah Tawo; Martins Awofadeju "The Impact of Digital Transformation On Small and Medium Enterprises (SMEs) In The USA: Opportunities and Challenges" Iconic Research And Engineering Journals, vol. 7, no. 6, Dec. 2023
Reena Faisal, Carl Selasie Amekudzi, Samira Kamran, Beryl Fonkem, Obah Tawo; Martins Awofadeju (2023). The Impact of Digital Transformation On Small and Medium Enterprises (SMEs) In The USA: Opportunities and Challenges. Iconic Research And Engineering Journals, 7(6).
Reena Faisal, Carl Selasie Amekudzi, Samira Kamran, Beryl Fonkem, Obah Tawo; Martins Awofadeju "The Impact of Digital Transformation On Small and Medium Enterprises (SMEs) In The USA: Opportunities and Challenges" Iconic Research And Engineering Journals, vol. 7, no. 6, Dec. 2023.
@article{1705274,
      author = {Reena Faisal, Carl Selasie Amekudzi, Samira Kamran, Beryl Fonkem, Obah Tawo; Martins Awofadeju},
      title = {The Impact of Digital Transformation On Small and Medium Enterprises (SMEs) In The USA: Opportunities and Challenges},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {6},
      pages = {400-413},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705274.pdf},
      abstract = {This paper discusses the impact of digital transformation on small and medium enterprises (SMEs) in the United States, both the opportunities it opens up and the challenges it poses. SMEs play a critical role in contributing to economic growth, yet many SMEs still lag behind larger firms in their adoption of digital technologies due to limited resources and technical barriers, among other things. This study highlights these benefits of digital transformation for SMEs ? better operational efficiency, stronger customer relationships and wider market access ? through a review of existing research. But it also highlights serious challenges, including high costs of implementation, cybersecurity risks and a lack of digital expertise. The study employs a mixed-methods approach, collecting insights from stakeholders of SMEs to gain a deeper understanding of the practical challenges and potentialities of digital adoption. The two however (surely for all SMEs), have one major caveat: Truly maximizing the opportunity presented by digital tools is considerable but many SMEs struggle to adopt these tools, largely constrained by finances and skills. The paper calling for focused approaches to support SMEs against these challenges ? including government assistance, tailored training programs, and better co-operation between the public and private sectors. Overcoming these obstacles can enable SMEs to leverage the full potential of digital technologies, enhancing their competitiveness and sustainability in an increasingly digitalizing economy. The last pointers will focus on how to bridge the digital gap and promote digital transformation across the SME landscape.},
      keywords = {Digital Transformation, Small and Medium Enterprises (SMEs), USA, Opportunities, Challenges},
      month = {December},
  }