Bridging The Gap Between Data-Driven Decision Making and Human-Centric Management in Organisations
Downloads
The integration of data-driven decision-making (DDDM) and human-centric management has emerged as a transformative strategy for modern organizations seeking to thrive in an increasingly dynamic and competitive landscape. This paper explores the synergy between these two approaches, highlighting their theoretical foundations, advantages, challenges, and practical applications. It examines how DDDM leverages advanced tools and analytics to enhance efficiency and scalability while addressing the critical role of human-centric management in fostering employee engagement, creativity, and organizational resilience. The study identifies key barriers to integration, including technical challenges such as data silos and legacy systems, cultural resistance to change, and ethical considerations around data use and privacy. Strategies for overcoming these obstacles are proposed, emphasizing cross-functional collaboration, alignment with organizational values, and the design of adaptive systems that prioritize human interaction. Drawing on case studies and best practices, this paper also explores how organizations can successfully balance technological innovation with human-centric approaches, particularly during digital transformation initiatives. Future research opportunities are outlined, including the exploration of emerging technologies, ethical frameworks, and cross-cultural adaptations, to further advance the integration of these paradigms. By bridging the gap between DDDM and human-centric management, this study provides a comprehensive framework for achieving sustainable organizational success that values both technological innovation and the human element at its core.
Downloads
1. M. Paramesha, N. L. Rane, and J. Rane, "Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence," Partners Universal Multidisciplinary Research Journal, vol. 1, no. 2, pp. 110-133, 2024.
2. J. Hofste, "Navigating the Unknown in Organizations: And How to Read the Respective Organizational Capabilities," in Reading an Unknown Organization: Leaders in New Roles Thriving in Challenging Environments with the 3-P-Model Mindset: Springer, 2024, pp. 221-244.
3. M. Jafari and M. Ahmadi Safa, "Data use in language schools: The case of EFL teachers’ data-driven decision making," Journal of Educational Change, vol. 24, no. 4, pp. 897-918, 2023.
4. S. A. Julius, "The Digital Transformation of Accounting Standards: Past Developments, Current Practices, and Future Directions for Research," IJRNL, vol. 5, pp. 1-10, 2025.
5. S. Nadkarni and R. Prügl, "Digital transformation: a review, synthesis and opportunities for future research," Management Review Quarterly, vol. 71, pp. 233-341, 2021.
6. O. A. Ayilara, A. O. Ajayi, and K. Jimoh, "A synthetic player for Ayὸ board game using alpha-beta search and learning vector quantization," Computer and Information Science, vol. 9, no. 3, 2016.
7. O. Hector and R. Cameron, "Human-Centric Management: Nurturing Talent, Building Culture, and Driving Organizational Success," The International Journal of Science in Society, vol. 5, no. 4, pp. 511-525, 2023.
8. O. Alade, "Electronic Commerce: Usage and Consumer Purchase Decisions in the United States," SSRN 4568364, vol. 1, pp. 1-10, 2023.
9. S. A. Julius, "The Digital Transformation of Accounting Standards: Past Developments, Current Practices, and Future Directions for Research," International Journal of Novel Research in Marketing Management and Economics, vol. 11, pp. 94-108, 2024.
10. O. J. Olalekan, O. O. Esther, and A.-A. O. Adedamola, "A Predictive Model for Heart Diseases Detection Using Deep Learning," Adeleke University Journal of Science, vol. 3, no. 1, pp. 260-270, 2024.
11. K. O. Jimoh, T. M. Adepoju, A. A. Sobowale, and O. A. Ayilara, "Offline gesture recognition system for yorùbá numeral counting," Asian Journal of Research in Computer Science, vol. 1, no. 4, pp. 1-11, 2018.
12. F. Oginni, O. Ayilara, B. Famurewa, O. Ayilara-Adewale, M. Abdulazeez, and A. Omisore, "Deep Learning Technique for Automatic Mandibular Fracture Detection," International Journal of Oral and Maxillofacial Surgery, vol. 52, pp. 190-191, 2024.
13. A. Olanrewaju and O. A. Ayilara, "The Effect of Data Compromises on Internet Users: A Review on Financial Implication of The Elderly In The United States," African Journal of Social Sciences and Humanities Research, vol. 1, pp. 28-37, 2024.
14. A. Bayramova, D. J. Edwards, C. Roberts, and I. Rillie, "Enhanced safety in complex socio-technical systems via safety-in-cohesion," Safety science, vol. 164, p. 106176, 2023.
15. H. Smuts and A. Smith, "Collaboration of human and machine for knowledge work: an organisational transformation framework for data-driven decision-making," in Information Technology in Organisations and Societies: Multidisciplinary Perspectives from AI to Technostress: Emerald Publishing Limited, 2021, pp. 25-59.
16. N. Aslam, "Cross-Functional Teams: Building Success Through Multidisciplinary Collaboration," Research Journal, vol. 1, no. 01, pp. 40-50, 2023.
17. K. Jimoh, A. Ajayi, and O. Ayilara, "Intelligent model for manual sorting of plastic wastes," International Journal of Computer Applications, vol. 101, no. 7, pp. 20-26, 2014.
18. A. O. Ajayi, K. A. Jimoh, and O. A. Ayilara, "Evaluation of plastic waste classification systems," British Journal of Mathematics & Computer Science, vol. 16, no. 3, pp. 1-11, 2016.
19. A. Aldoseri, K. N. Al-Khalifa, and A. M. Hamouda, "AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact," Sustainability, vol. 16, no. 5, p. 1790, 2024.
20. J. Chukwunweike and O. Aro, "Implementing agile management practices in the era of digital transformation," World Journal of Advanced Research and Reviews, vol. 24, no. 1, pp. 34-45, 2024.
21. M. R. Khan and U. Sarkar, "Business leadership in the digital age: IKEA’s story in the retail and consumer sector," Green Technologies and Sustainability, vol. 2, no. 2, p. 100081, 2024.
22. O. Alade, "The Influence of Socio-Economic Factors on Consumer Behavior: A Theoretical Explanation of Reasoned Action," Available at SSRN 4503703, vol. 1, pp. 1-20, 2023.
23. R. Anderson and N. Rip, "From Data Crisis to Data-Centric. The AIR Professional File, Spring 2019. Article 145," Association for Institutional Research, vol. 4, pp. 25-32, 2019.
24. I. Durango, J. A. Gallud, and V. M. Penichet, "Human-Data Interaction Framework: A Comprehensive Model for a Future Driven by Data and Humans," arXiv preprint arXiv:2407.21010, vol. 5, pp. 11-31, 2024.
25. S. Dobrin, AI IQ for a Human-focused Future: Strategy, Talent, and Culture. CRC Press, 2024.
26. S. A. Macmanus, K. Caruson, and B. D. McPhee, "Cybersecurity at the local government level: Balancing demands for transparency and privacy rights," Journal of Urban Affairs, vol. 35, no. 4, pp. 451-470, 2013.
27. S. K. H. Naqvi and K. Batool, "A comparative analysis between General Data Protection Regulations and California Consumer Privacy Act," Journal of Computer Science, Information Technology and Telecommunication Engineering, vol. 4, no. 1, pp. 326-332, 2023.
28. A. Adel, "Unlocking the future: fostering human–machine collaboration and driving intelligent automation through industry 5.0 in smart cities," Smart Cities, vol. 6, no. 5, pp. 2742-2782, 2023.
29. S. T. Boppiniti, "Data Ethics in AI: Addressing Challenges in Machine Learning and Data Governance for Responsible Data Science," International Scientific Journal for Research, vol. 5, no. 5, pp. 51-75, 2023.
30. A. K. Sharma and R. Sharma, "Navigating compliance and regulations in marketing analytics: Upholding ethical standards and consumer trust," Applied Marketing Analytics, vol. 10, no. 1, pp. 77-92, 2024.
31. V. Dhanawat, "Anomaly Detection in Financial Transactions using Machine Learning and Blockchain Technology," International Journal of Business Management and Visuals, ISSN: 3006-2705, vol. 5, no. 1, pp. 34-41, 2022.
32. T.-C. Chou and J.-L. Liao, "IT governance balancing global integration and local responsiveness for multinational companies," Total Quality Management & Business Excellence, vol. 28, no. 1-2, pp. 32-46, 2017.
33. G. Saridakis, Y. Lai, and C. L. Cooper, "Exploring the relationship between HRM and firm performance: A meta-analysis of longitudinal studies," Human resource management review, vol. 27, no. 1, pp. 87-96, 2017.
Copyright (c) 2025 Olanrewaju Alade, Mobolaji Ogunbadejo, Oluwatobi Adedamola Ayilara-Adewale, Ayodeji Julius Sokunbi
This work is licensed under a Creative Commons Attribution 4.0 International License.
