Integrative Disciplinary Research | Online ISSN 3064-9870 | Print ISSN 3069-4353
RESEARCH ARTICLE   (Open Access)

Integrating Cloud Computing, Big Data, and Business Analytics to Determination Digital Transformation and Competitive Advantage in Modern Enterprises

Md Iqbal Hossain1*, Ispita Jahan2, Niladry Chowdhury3, Md Sakib Mia3, Anik Biswas4

+ Author Affiliations

Journal of Primeasia 5 (1) 1-8 https://doi.org/10.25163/primeasia.5110380

Submitted: 31 October 2023 Revised: 11 January 2024  Published: 13 January 2024 


Abstract

Background: Modern business operations have undergone a complete transformation because of fast technological progress which includes cloud computing and big data and business analytics. The implementation of these technologies enables organizations to improve their decision-making processes and operational efficiency and gain market superiority. The main problems continue to exist because of system integration difficulties and data management issues and resistance to new technology implementation.

Methods: The research study uses mixed-methods methodology which includes a survey that gathered responses from 205 IT and business professionals who work in finance and manufacturing and IT services within the USA together with secondary data analysis from industry reports. Statistical tools and descriptive analytics tools function together to evaluate the degree of adoption and performance improvements and user difficulties when implementing cloud computing and big data and analytics solutions.

Results: The research shows that 80% of organizations use cloud platforms and 73% of IT services operate with big data analytics. Business analytics integration with cloud infrastructure creates better operational efficiency at 66% and improves decision-making quality at 74%. The implementation of data analytics depends on two main factors which include workforce readiness and strong governance policies yet cost restrictions and data security risks create obstacles. The study contains five tables which present adoption statistics and sector performance and list the advantages and disadvantages and strategic direction.

Conclusion: The System of government achieve digital transformation concluded the combination of cloud computing with big data and business analytics solutions which leads to operational quality and market leadership.

Keywords: Business Analytics, Cloud Computing, Big Data, Digital Transformation, Competitive Benefit

References

Akkermans, H. A., Bogerd, P., Yücesan, E., & Van Wassenhove, L. N. (2002). The impact of ERP on supply chain management: Exploratory findings from a European Delphi study. European Journal of Operational Research, 146(2), 284–301. https://doi.org/10.1016/s0377-2217(02)00550-7

Akpan, I. J., Udoh, E. a. P., & Adebisi, B. (2020). Small business awareness and adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic. Journal of Small Business & Entrepreneurship, 34(2), 123–140. https://doi.org/10.1080/08276331.2020.1820185

Akter, S., Michael, K., Uddin, M. R., McCarthy, G., & Rahman, M. (2020). Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics. Annals of Operations Research, 308(1–2), 7–39. https://doi.org/10.1007/s10479-020-03620-w

Alharbi, F., Atkins, A., & Stanier, C. (2017). Cloud computing adoption in healthcare organisations: a qualitative study in Saudi Arabia. In Lecture notes in computer science (pp. 96–131). https://doi.org/10.1007/978-3-662-56121-8_5

Arora, A., Arunachalam, V., Asundi, J., & Fernandes, R. (2001). The Indian software services industry. Research Policy, 30(8), 1267–1287. https://doi.org/10.1016/s0048-7333(00)00148-7

Atieh, A. M., Cooke, K. O., & Osiyevskyy, O. (2022). The role of intelligent manufacturing systems in the implementation of Industry 4.0 by small and medium enterprises in developing countries. Engineering Reports, 5(3). https://doi.org/10.1002/eng2.12578

Bag, S., Wood, L. C., Xu, L., Dhamija, P., & Kayikci, Y. (2019). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources Conservation and Recycling, 153, 104559. https://doi.org/10.1016/j.resconrec.2019.104559

Barras, R. (1990). Interactive innovation in financial and business services: The vanguard of the service revolution. Research Policy, 19(3), 215–237. https://doi.org/10.1016/0048-7333(90)90037-7

Battleson, D. A., West, B. C., Kim, J., Ramesh, B., & Robinson, P. S. (2015). Achieving dynamic capabilities with cloud computing: an empirical investigation. European Journal of Information Systems, 25(3), 209–230. https://doi.org/10.1057/ejis.2015.12

Bibri, S. E., & Krogstie, J. (2017). The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis. Journal of Big Data, 4(1). https://doi.org/10.1186/s40537-017-0091-6

Chen, H., Li, L., & Chen, Y. (2020). Explore success factors that impact artificial intelligence adoption on telecom industry in China. Journal of Management Analytics, 8(1), 36–68. https://doi.org/10.1080/23270012.2020.1852895

Chen, M. (1996). Competitor analysis and interfirm rivalry: toward a theoretical integration. Academy of Management Review, 21(1), 100–134. https://doi.org/10.5465/amr.1996.9602161567

Chiarini, A., & Kumar, M. (2020). Lean Six Sigma and Industry 4.0 integration for Operational Excellence: evidence from Italian manufacturing companies. Production Planning & Control, 32(13), 1084–1101. https://doi.org/10.1080/09537287.2020.1784485

Demirkan, H., & Delen, D. (2012). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), 412–421. https://doi.org/10.1016/j.dss.2012.05.048

Demirkan, H., & Delen, D. (2012b). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), 412–421. https://doi.org/10.1016/j.dss.2012.05.048

Grover, V., Chiang, R. H., Liang, T., & Zhang, D. (2018). Creating Strategic Business Value from Big Data Analytics: A Research Framework. Journal of Management Information Systems, 35(2), 388–423. https://doi.org/10.1080/07421222.2018.1451951

Gunasekaran, A., Yusuf, Y. Y., Adeleye, E. O., & Papadopoulos, T. (2017). Agile manufacturing practices: the role of big data and business analytics with multiple case studies. International Journal of Production Research, 56(1–2), 385–397. https://doi.org/10.1080/00207543.2017.1395488

Kumar, N., Kumar, G., & Singh, R. K. (2021). Big data analytics application for sustainable manufacturing operations: analysis of strategic factors. Clean Technologies and Environmental Policy, 23(3), 965–989. https://doi.org/10.1007/s10098-020-02008-5

Popovic, A., Hackney, R., Tassabehji, R., & Castelli, M. (2016). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 20(2), 209–222. https://doi.org/10.1007/s10796-016-9720-4

Qatawneh, N. (2024). Building a framework to drive government systems’ adoption of cloud computing through IT knowledge. Discover Sustainability, 5(1). https://doi.org/10.1007/s43621-024-00427-8

Raj, P., Raman, A., Nagaraj, D., & Duggirala, S. (2015). High-Performance Big-Data Analytics. In Computer communications and networks. https://doi.org/10.1007/978-3-319-20744-5

Raman, S., Patwa, N., Niranjan, I., Ranjan, U., Moorthy, K., & Mehta, A. (2018). Impact of big data on supply chain management. International Journal of Logistics Research and Applications, 21(6), 579–596. https://doi.org/10.1080/13675567.2018.1459523

Ren, S. J., Wamba, S. F., Akter, S., Dubey, R., & Childe, S. J. (2016). Modelling quality dynamics, business value and firm performance in a big data analytics environment. International Journal of Production Research, 55(17), 5011–5026. https://doi.org/10.1080/00207543.2016.1154209

Singh, S. K., & El-Kassar, A. (2018). Role of big data analytics in developing sustainable capabilities. Journal of Cleaner Production, 213, 1264–1273. https://doi.org/10.1016/j.jclepro.2018.12.199

Sun, Z., Strang, K., & Firmin, S. (2016). Business Analytics-Based Enterprise Information Systems. Journal of Computer Information Systems, 57(2), 169–178. https://doi.org/10.1080/08874417.2016.1183977

Teubner, R. (2007). Strategic information systems planning: A case study from the financial services industry. The Journal of Strategic Information Systems, 16(1), 105–125. https://doi.org/10.1016/j.jsis.2007.01.002

Ulrich, D., & Lake, D. (1991). Organizational capability: creating competitive advantage. Academy of Management Perspectives, 5(1), 77–92. https://doi.org/10.5465/ame.1991.4274728

Vidgen, R., Shaw, S., & Grant, D. B. (2017). Management challenges in creating value from business analytics. European Journal of Operational Research, 261(2), 626–639. https://doi.org/10.1016/j.ejor.2017.02.023

Wolf, J. (2011). Sustainable Supply Chain Management Integration: A Qualitative analysis of the German manufacturing industry. Journal of Business Ethics, 102(2), 221–235. https://doi.org/10.1007/s10551-011-0806-0

Yang, C., Huang, Q., Li, Z., Liu, K., & Hu, F. (2016). Big Data and cloud computing: innovation opportunities and challenges. International Journal of Digital Earth, 10(1), 13–53. https://doi.org/10.1080/17538947.2016.1239771


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