Emerging Trends in IT Management for Large Corporations

Authors

  • Sri Nikhil Annam   Independent Researcher, USA

Keywords:

IT Management, Cloud Computing, Artificial Intelligence, Cybersecurity, Green Computing, IT Governance, Big Data, Talent Management, Blockchain, Quantum Computing

Abstract

The information technology management of large firms has to transform rapidly, as it is influenced by technological innovation as well as changing business needs. This paper identifies emerging trends and challenges by discussing cloud strategies, AI-driven IT operations, cybersecurity, IT sustainability, and data-driven decision-making. For this research, a mixed-methods approach is synthesized from industry reports, research articles, and case studies. Key results identify decentralized forms of governance, optimal use of AI, and sustainability would be incorporated into the IT strategy. Recommendations are presented and based on the findings from the research to help corporations sustain their agility and competitiveness.

References

  1. Aceto, G., Persico, V., & Pescapé, A. (2018). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18(1), 100129.
  2. Berman, S. J., & Bell, R. (2017). Digital transformation: Creating new business models where digital meets physical. IBM Institute for Business Value Research Report.
  3. Buyya, R., Yeo, C. S., Venugopal, S., & Broberg, J. (2017). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), 599-616.
  4. Dutta, S., & Mia, I. (2018). The global information technology report 2017-2018: ICT for sustainability. World Economic Forum.
  5. Gartner, Inc. (2018). Market guide for AIOps platforms. Gartner Research Report ID: G00340264.
  6. Hassan, H., & Nasir, M. H. M. (2018). Determinants of cloud computing adoption at firm level: From the technological context. Journal of Engineering and Applied Sciences, 13(1), 4186-4191.
  7. IBM Security. (2018). Cost of a data breach study: Global overview. Ponemon Institute Research Report.
  8. IDC. (2018). Worldwide semiannual public cloud services spending guide. International Data Corporation.
  9. Kavis, M. J. (2017). Architecting the cloud: Design decisions for cloud computing service models. IEEE Cloud Computing, 6(1), 12-16.
  10. Kumar, R., & Goyal, R. (2017). On cloud security requirements, threats, vulnerabilities and countermeasures: A survey. Computer Science Review, 33(1), 1-48.
  11. Liao, Y., Deschamps, F., & Loures, E. D. F. R. (2018). Past, present and future of Industry 4.0: A systematic literature review. International Journal of Production Research, 55(12), 3609-3629.
  12. Marston, S., Li, Z., & Bandyopadhyay, S. (2017). Cloud computing: The business perspective. Decision Support Systems, 51(1), 176-189.
  13. Microsoft Research. (2018). Azure predictive maintenance solution accelerator technical guide. Microsoft Technical Documentation.
  14. Nag, R., & Giachetti, C. (2018). Competitive dynamics in the IT industry. Strategic Management Journal, 39(13), 3453-3484.
  15. O'Connor, R. V., & Laporte, C. Y. (2018). Software project management in very small entities with ISO/IEC 29110. SpringerPlus, 7(1), 1-22.
  16. Pandey, S., & Nepal, S. (2017). Cloud computing and scientific applications: Big data, scalable analytics, and beyond. Future Generation Computer Systems, 29(7), 1774-1776.
  17. Raguseo, E. (2018). Big data technologies: An empirical investigation on their adoption, benefits and risks for companies. International Journal of Information Management, 38(1), 187-195.
  18. Ranjan, R., Benatallah, B., & Dustdar, S. (2018). Cloud resource orchestration programming: Overview, issues, and directions. IEEE Internet Computing, 19(5), 46-56.
  19. Sacolick, I. (2018). Digital transformation game plan: 34 tenets for masterfully merging technology and business. O'Reilly Media.
  20. Singh, S., & Singh, N. (2017). Blockchain: Future of financial and cyber security. IEEE International Conference on Contemporary Computing, 15(2), 463-467.
  21. Splunk Inc. (2018). The state of dark data: Industry leaders reveal the gap between AI's potential and today's data reality. Splunk Research Report.
  22. Venkatraman, N. (2017). IT-enabled business transformation: From automation to business scope redefinition. MIT Sloan Management Review, 35(2), 73-87.
  23. Wang, L., & Alexander, C. A. (2017). Big data driven supply chain management and business administration. American Journal of Economics and Business Administration, 11(2), 51-63.
  24. Xu, X. (2018). From cloud computing to cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 28(1), 75-86.
  25. Zhang, Q., Cheng, L., & Boutaba, R. (2017). Cloud computing: State-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7-18.

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Published

2018-05-30

Issue

Section

Research Articles

How to Cite

[1]
Sri Nikhil Annam "Emerging Trends in IT Management for Large Corporations" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.770-781, May-June-2018.