Designing a Big Data Analytics Model in Organizational Knowledge Management
Keywords:
Big data, large-scale data, knowledge management system, Khorasan Razavi Gas CompanyAbstract
This study was conducted with the aim of investigating and designing a comprehensive big data analytics model within the knowledge management system of the Khorasan Razavi Gas Company and enhancing data-driven decision-making. The research adopted a qualitative approach based on grounded theory methodology, and the statistical population consisted of 20 managers, deputy managers, technology experts of the company, and several academic specialists. Data were collected through in-depth semi-structured interviews, and the analysis was performed using open, axial, and selective coding methods in order to identify concepts, categories, and the relationships among them and to develop a valid conceptual model. The findings indicated that big data, with characteristics such as high volume, extensive variety, and rapid velocity of change, can serve as a valuable resource for creating organizational knowledge and improving decision-making; however, limitations such as weak technological infrastructure, human resource challenges, and security concerns remain significant barriers. Furthermore, the study demonstrated that cultural and organizational readiness, the development of data-driven skills, the utilization of cloud infrastructure and artificial intelligence, and the implementation of secure knowledge management systems are among the most critical success factors for leveraging big data effectively. The proposed model can serve as a roadmap for implementing integrated knowledge management and intelligent decision-making in similar service-oriented organizations.
References
Awan, U., Arnold, M. G., & Golgeci, I. (2021). Enhancing Green Product and Process Innovation: Towards an Integrative Framework of Knowledge Acquisition and Environmental Investment. Business Strategy and the Environment, 30(2), 1283-1295.
Bibi, G., Padhi, M., & Dash, S. S. (2021). Theoretical Necessity for Rethinking Knowledge in Knowledge Management Literature. Knowledge Management Research & Practice, 19(3), 396-407.
Ciasullo, M. V., Montera, R., & Douglas, A. (2022). Building SMEs' Resilience in Times of Uncertainty: The Role of Big Data Analytics Capability and Co-Innovation. Transforming Government: People, Process and Policy, 16(2), 203-217.
Dahiya, R., Le, S., Ring, J. K., & Watson, K. (2022). Big Data Analytics and Competitive Advantage: The Strategic Role of Firm-Specific Knowledge. Journal of Strategy and Management, 15(2), 175-193.
Dammann, O. (2018). Data, Information, Evidence, and Knowledge: A Proposal for Health Informatics and Data Science. Online Journal of Public Health Informatics, 10(3).
Deepa, N., Pham, Q. V., Nguyen, D. C., Bhattacharya, S., Prabadevi, B., Gadekallu, T. R., & Pathirana, P. N. (2022). A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions. Future Generation Computer Systems, 131, 209-226.
Dehestani, R. (2020). Things to Know about Big Data. Information Updates and Information-Seeking Skills, 21(50), 13-16.
Di Vaio, A., Palladino, R., Pezzi, A., & Kalisz, D. E. (2021). The Role of Digital Innovation in Knowledge Management Systems: A Systematic Literature Review. Journal of Business Research, 123, 220-231.
Farooq, R. (2024). A Review of Knowledge Management Research in the Past Three Decades: A Bibliometric Analysis. VINE Journal of Information and Knowledge Management Systems, 54(2), 339-378.
Fu, Y. (2021). Design and Implementation of Internet Plus State-Owned Enterprise Information Management System 2021 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS),
Hu, D., Qiu, L., She, M., & Wang, Y. (2021). Sustaining the Sustainable Development: How Do Firms Turn Government Green Subsidies into Financial Performance through Green Innovation? Business Strategy and the Environment, 30(5), 2271-2292.
Imhanzenobe, J., Adejumo, O., & Ikpesu, O. (2021). A Review of Knowledge Management and Its Application in the Contemporary Business Environment. African journal of business management, 15(10), 274-282.
Mikalef, P., van de Wetering, R., & Krogstie, J. (2021). Building Dynamic Capabilities by Leveraging Big Data Analytics: The Role of Organizational Inertia. Information & Management, 58(6), 103412.
Mohaghegh Nasab, E., & Mohammadi, M. (2023). Discovering Knowledge Structure in Urban Data Mining Using Word Co-Occurrence Analysis. Sustainable Urban Development.
Ravikumar, R., Kitana, A., Taamneh, A., Aburayya, A., Shwedeh, F., Salloum, S., & Shaalan, K. (2023). The Impact of Big Data Quality Analytics on Knowledge Management in Healthcare Institutions: Lessons Learned from Big Data's Application within the Healthcare Sector. South Eastern European Journal of Public Health.
Singh, S. K., Del Giudice, M., Chierici, R., & Graziano, D. (2020). Green Innovation and Environmental Performance: The Role of Green Transformational Leadership and Green Human Resource Management. Technological Forecasting and Social Change, 150, 119762.
Soleimani Roozbehani, F., Rajabzadeh Qatari, A., & Radfar, R. (2022). Identifying Appropriate Data Characteristics for Knowledge Discovery from Health Big Data Systems. Knowledge Studies, 15(56), 32-45.
Sulaiman, P., & Wolniak, R. (2024). Leveraging Big Data and Knowledge Management for Enhanced Waste Management. Management and Quality, 6(2), 191-200.
Taghiyeh, S., Khajeh Mahmoudabadi, H., Abtahi, S. Y., & Hataminasab, S. H. (2025). Big Data Analysis of the Spillover of User-Generated Content Volatility in the Tehran Stock Exchange Market. Investment Knowledge, 14(53), 663-686.
Thayyib, P. V., Mamilla, R., Khan, M., Fatima, H., Asim, M., Anwar, I., & Khan, M. A. (2023). State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary. Sustainability, 15(5), 4026.
Xiong, Z., Yang, F., Li, M., Ma, Y., Zhao, W., Wang, G., & Bao, Y. (2022). EWAS Open Platform: Integrated Data, Knowledge and Toolkit for Epigenome-Wide Association Study. Nucleic Acids Research, 50(D1), D1004-D1009.
Yumhi, Y., Dharmawan, D., Febrian, W. D., & Sutisna, A. J. (2024). Application of Rapid Application Development Method in Designing a Knowledge Management System to Improve Employee Performance in National Construction Company. Jurnal Informasi Dan Teknologi, 155-160.
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 2026 Faeze Javedanmehr (Author); Hashem Kargar; Vahid Araei, Saeid Askari Masouleh, Seyed Abdollah Amin Mousavi (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
