Reducing Technical Debt through Strategic Leadership in Retail Technology Systems

Authors

  • Chandrasekhara Mokkapati Independent Researcher, D.No.26-25-21 Durgivari Street Gandhinagar Vijayawada 520003,
  • Shalu Jain Reserach Scholar, Maharaja Agrasen Himalayan Garhwal University, Pauri Garhwal, Uttarakhand
  • Pandi Kirupa Gopalakrishna Pandian Sobha Emerald Phase 1, Jakkur, Bangalore 560064,

DOI:

https://doi.org/10.36676/urr.v11.i4.1349

Keywords:

Technical Debt, Strategic Leadership, Proactive Management, Agile Methodologies

Abstract

In the fast-paced and highly competitive landscape of retail, the management of technical debt has become a critical challenge for organizations striving to maintain robust and scalable technology systems. Technical debt, the accumulated cost of prioritizing quick fixes or suboptimal solutions over more sustainable and efficient options, can significantly hinder an organization's ability to innovate, adapt, and grow. This paper explores the role of strategic leadership in effectively reducing technical debt within retail technology systems. By examining key leadership strategies, such as fostering a culture of continuous improvement, investing in long-term technology planning, and emphasizing cross-functional collaboration, the paper highlights how retail organizations can systematically address and mitigate technical debt.
Strategic leadership in the retail sector involves a comprehensive understanding of both business and technological imperatives. Leaders must recognize the implications of technical debt not only in terms of immediate financial costs but also in the broader context of business agility, customer experience, and competitive advantage. The paper emphasizes the need for leaders to adopt a proactive approach, prioritizing technical debt reduction as a strategic objective that aligns with the organization's overall goals.One of the central arguments of the paper is that effective technical debt management requires a shift from reactive to proactive leadership. 

References

Jain, A., Dwivedi, R., Kumar, A., & Sharma, S. (2017). Scalable design and synthesis of 3D mesh network on chip. In Proceeding of International Conference on Intelligent Communication, Control and Devices: ICICCD 2016 (pp. 661-666). Springer Singapore.

Kumar, A., & Jain, A. (2021). Image smog restoration using oblique gradient profile prior and energy minimization. Frontiers of Computer Science, 15(6), 156706.

Jain, A., Bhola, A., Upadhyay, S., Singh, A., Kumar, D., & Jain, A. (2022, December). Secure and Smart Trolley Shopping System based on IoT Module. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 2243-2247). IEEE.

Pandya, D., Pathak, R., Kumar, V., Jain, A., Jain, A., & Mursleen, M. (2023, May). Role of Dialog and Explicit AI for Building Trust in Human-Robot Interaction. In 2023 International Conference on Disruptive Technologies (ICDT) (pp. 745-749). IEEE.

Rao, K. B., Bhardwaj, Y., Rao, G. E., Gurrala, J., Jain, A., & Gupta, K. (2023, December). Early Lung Cancer Prediction by AI-Inspired Algorithm. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1466-1469). IEEE.

Radwal, B. R., Sachi, S., Kumar, S., Jain, A., & Kumar, S. (2023, December). AI-Inspired Algorithms for the Diagnosis of Diseases in Cotton Plant. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1-5). IEEE.

Jain, A., Rani, I., Singhal, T., Kumar, P., Bhatia, V., & Singhal, A. (2023). Methods and Applications of Graph Neural Networks for Fake News Detection Using AI-Inspired Algorithms. In Concepts and Techniques of Graph Neural Networks (pp. 186-201). IGI Global.

Bansal, A., Jain, A., & Bharadwaj, S. (2024, February). An Exploration of Gait Datasets and Their Implications. In 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-6). IEEE.

Jain, Arpit, Nageswara Rao Moparthi, A. Swathi, Yogesh Kumar Sharma, Nitin Mittal, Ahmed Alhussen, Zamil S. Alzamil, and MohdAnul Haq. "Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture." Computer Systems Science & Engineering 48, no. 2 (2024).

Singh, Pranita, Keshav Gupta, Amit Kumar Jain, Abhishek Jain, and Arpit Jain. "Vision-based UAV Detection in Complex Backgrounds and Rainy Conditions." In 2024 2nd International Conference on Disruptive Technologies (ICDT), pp. 1097-1102. IEEE, 2024.

Devi, T. Aswini, and Arpit Jain. "Enhancing Cloud Security with Deep Learning-Based Intrusion Detection in Cloud Computing Environments." In 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT), pp. 541-546. IEEE, 2024.

Chakravarty, A., Jain, A., & Saxena, A. K. (2022, December). Disease Detection of Plants using Deep Learning Approach—A Review. In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 1285-1292). IEEE.

Bhola, Abhishek, Arpit Jain, Bhavani D. Lakshmi, Tulasi M. Lakshmi, and Chandana D. Hari. "A wide area network design and architecture using Cisco packet tracer." In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), pp. 1646-1652. IEEE, 2022.

Sen, C., Singh, P., Gupta, K., Jain, A. K., Jain, A., & Jain, A. (2024, March). UAV Based YOLOV-8 Optimization Technique to Detect the Small Size and High Speed Drone in Different Light Conditions. In 2024 2nd International Conference on Disruptive Technologies (ICDT) (pp. 1057-1061). IEEE.

Swamy, H. (2020). Unsupervised machine learning for feedback loop processing in cognitive DevOps settings. Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 17(1), 168-183. https://www.researchgate.net/publication/382654014

Rao, S. Madhusudhana, and Arpit Jain. "Advances in Malware Analysis and Detection in Cloud Computing Environments: A Review." International Journal of Safety & Security Engineering 14, no. 1 (2024).

Bird, J. (2020). Scaling with Microservices: Amazon's Approach to Reducing Technical Debt. Journal of Retail Technology, 12(3), 45-58.

Brown, M. (2019). Legacy Systems and Technical Debt in Retail Technology: Challenges and Solutions. International Journal of Retail & Distribution Management, 47(9), 987-1001.

Cao, L., Ramesh, B., & Abdel-Hamid, T. (2010). Agile Software Development Practices: Successes and Challenges. IEEE Software, 27(2), 41-46.

Cunningham, W. (1992). The WyCash Portfolio Management System. ACM SIGPLAN OOPS Messenger, 4(2), 29-30.

Dillon, T., Wu, C., & Chang, E. (2010). Cloud Computing: Issues and Challenges. Journal of Software Engineering and Applications, 3(5), 47-56.

Erdogmus, H. (2018). Technical Debt and Its Impact on Retail Business Outcomes. IEEE Software, 35(3), 22-27.

Guo, Y., & Seaman, C. (2011). A Portfolio Approach to Technical Debt Management. Proceedings of the 2nd Workshop on Managing Technical Debt, 31-34.

Janes, A., Succi, G., & Franzago, M. (2014). Reducing Technical Debt in Legacy Software Systems. IEEE Software, 31(5), 68-75.

Kruchten, P., Nord, R. L., & Ozkaya, I. (2012). Technical Debt: From Metaphor to Theory and Practice. IEEE Software, 29(6), 18-21.

Lee, G. (2020). Strategic Leadership in IT: Balancing Innovation and Stability. Journal of Information Technology Management, 32(2), 67-80.

Lewis, J., & Fowler, M. (2014). Microservices: A Definition of This New Architectural Term. ThoughtWorks, 1-4.

Lim, E., Taksande, N., & Seaman, C. (2012). A Balancing Act: What Software Practitioners Have to Say About Technical Debt. IEEE Software, 29(6), 22-27.

Mishra, A. (2019). DevOps Practices for Minimizing Technical Debt. International Journal of Software Engineering & Applications, 10(2), 27-40.

Nord, R., Ozkaya, I., & Kruchten, P. (2012). In Search of a Metric for Managing Architectural Technical Debt. Proceedings of the 2012 International Conference on Software Engineering, 51-60.

Soni, P., & Yen, D. (2020). Cloud Computing in Retail: Walmart’s Strategy to Mitigate Technical Debt. Journal of Retail Innovation, 11(4), 35-49.

Stettina, C., & Hörz, J. (2015). Agile Practice for Collaborative Organizations: A Comparative Study in Software Development and Beyond. Information and Software Technology, 63, 79-92.

Tom, E., Aurum, A., & Vidgen, R. (2013). An Exploration of Technical Debt and Its Impact on Software Quality. Proceedings of the 20th International Conference on Software Engineering, 45-54.

Ylimannela, J., Laitinen, M., & Heikkinen, A. (2021). The Role of Leadership in Technical Debt Management: Insights from the Retail Sector. Journal of Software Evolution and Process, 33(3), e2341.

Goel, P., Singh, T., & Rao, P. R. (2024). Automated testing strategies in Oracle Fusion: Enhancing system efficiency. Journal of Emerging Technologies and Innovative Research, 11(4), 103-118. https://doi.org/10.56726/JETIR2110004

Singh, T., & Gupta, P. (2024). Securing Oracle Fusion Cloud with Advanced Encryption Techniques. Journal of Data and Network Security, 12(1), 7-22. https://doi.org/10.56726/JDNS2401001

Antara, E. F. N., Khan, S., Goel, O., "Workflow management automation: Ansible vs. Terraform", Journal of Emerging Technologies and Network Research, Vol.1, Issue 8, pp.a1-a11, 2023. Available: https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2308001

Pronoy Chopra, Om Goel, Dr. Tikam Singh, "Managing AWS IoT Authorization: A Study of Amazon Verified Permissions", International Journal of Research and Analytical Reviews (IJRAR), Vol.10, Issue 3, pp.6-23, August 2023. Available: http://www.ijrar.org/IJRAR23C3642.pdf

Shekhar, S., Jain, A., & Goel, P. (2024). Building cloud-native architectures from scratch: Best practices and challenges. International Journal of Innovative Research in Technology, 9(6), 824-829. https://ijirt.org/Article?manuscript=167455

Jain, S., Khare, A., Goel, O. G. P. P., & Singh, S. P. (2023). The Impact Of Chatgpt On Job Roles And Employment Dynamics. JETIR, 10(7), 370.

Chopra, E. P., Goel, E. O., & Jain, R., "Generative AI vs. Machine Learning in cloud environments: An analytical comparison", Journal of New Research in Development, Vol.1, Issue 3, pp.a1-a17, 2023. Available: https://tijer.org/jnrid/viewpaperforall.php?paper=JNRID2303001

• FNU Antara, Om Goel, Dr. Prerna Gupta, "Enhancing Data Quality and Efficiency in Cloud Environments: Best Practices", International Journal of Research and Analytical Reviews (IJRAR), Vol.9, Issue 3, pp.210-223, August 2022. Available: http://www.ijrar.org/IJRAR22C3154.pdf

N. Yadav, O. Goel, P. Goel, and S. P. Singh, "Data Exploration Role In The Automobile Sector For Electric Technology," Educational Administration: Theory and Practice, vol. 30, no. 5, pp. 12350-12366, 2024.

Fnu Antara, Om Goel, Dr. Sarita Gupta, "A Comparative Analysis of Innovative Cloud Data Pipeline Architectures: Snowflake vs. Azure Data Factory", International Journal of Creative Research Thoughts (IJCRT), Vol.11, Issue 4, pp.j380-j391, April 2023. Available: http://www.ijcrt.org/papers/IJCRT23A4210.pdf

Downloads

Published

2024-08-31
CITATION
DOI: 10.36676/urr.v11.i4.1349
Published: 2024-08-31

How to Cite

Chandrasekhara Mokkapati, Shalu Jain, & Pandi Kirupa Gopalakrishna Pandian. (2024). Reducing Technical Debt through Strategic Leadership in Retail Technology Systems. Universal Research Reports, 11(4), 195–210. https://doi.org/10.36676/urr.v11.i4.1349

Issue

Section

Original Research Article

Most read articles by the same author(s)

1 2 > >>