Bridging The Gap Between Data-Driven Decision Making and Human-Centric Management in Organisations

Olanrewaju Alade; Mobolaji Ogunbadejo; Oluwatobi Adedamola Ayilara-Adewale; Ayodeji Julius Sokunbi

doi:10.18535/ijsrm/v13i03.ec06

Abstract

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.

Keywords

Data-Driven Decision-MakingHuman-Centric ManagementOrganizational AgilityEmployee

References

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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
S. Nadkarni and R. Prügl, "Digital transformation: a review, synthesis and opportunities for future research," Management Review Quarterly, vol. 71, pp. 233-341, 2021.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
O. Alade, "Electronic Commerce: Usage and Consumer Purchase Decisions in the United States," SSRN 4568364, vol. 1, pp. 1-10, 2023.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
N. Aslam, "Cross-Functional Teams: Building Success Through Multidisciplinary Collaboration," Research Journal, vol. 1, no. 01, pp. 40-50, 2023.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
S. Dobrin, AI IQ for a Human-focused Future: Strategy, Talent, and Culture. CRC Press, 2024.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗
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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-8] O. Alade, "Electronic Commerce: Usage and Consumer Purchase Decisions in the United States," SSRN 4568364, vol. 1, pp. 1-10, 2023.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-16] N. Aslam, "Cross-Functional Teams: Building Success Through Multidisciplinary Collaboration," Research Journal, vol. 1, no. 01, pp. 40-50, 2023.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-25] S. Dobrin, AI IQ for a Human-focused Future: Strategy, Talent, and Culture. CRC Press, 2024.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗

[refR-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.Google Scholar ↗