Designing a Costing Model for Knowledge Management with a Sustainable Development Approach in Project-Based Organizations (Case Study: Maritime Industry)

Authors

    Younes Bereliani Department of Management, Ali.C., Islamic Azad University, Aliabad Katoul, Iran
    Ali Khouzin * Department of Accounting, Ali.C., Islamic Azad University, Aliabad Katoul, Iran khozein@iau.ac.ir
    Arash Naderian Department of Accounting, Ali.C., Islamic Azad University, Aliabad Katoul, Iran
    Seyed Mohammad Reza Hosseini Department of Management, Ali.C., Islamic Azad University, Aliabad Katoul, Iran

Keywords:

Knowledge Management, Costing, Sustainable Development, Maritime Industry, Knowledge Costing, Project-Based Organizations

Abstract

This study aims to design and develop a comprehensive model for calculating the cost of knowledge management processes with a sustainable development approach in project-based maritime organizations. This research adopts a mixed-method (qualitative–quantitative) approach using action research and qualitative content analysis. Data were collected through a systematic literature review and semi-structured in-depth interviews with 30 experts in knowledge management and industrial accounting. Participants were selected purposively based on theoretical saturation. Data analysis was conducted through open, axial, and selective coding, while validity and reliability were ensured using participant validation and Cohen’s kappa coefficient. Thematic analysis revealed that knowledge management processes consist of 109 sub-themes, 21 main themes, and 2 overarching themes, all associated with measurable costs. A significant portion of these costs was identified as indirect and hidden overhead within traditional accounting systems. The proposed model enables the classification of direct, indirect, and opportunity costs and provides a structured basis for accounting recognition of knowledge-related expenditures . The proposed model offers a systematic framework for identifying, classifying, and calculating knowledge management costs, thereby enhancing financial transparency, improving knowledge efficiency, and supporting strategic decision-making aligned with sustainable development in maritime organizations.

Downloads

Download data is not yet available.

References

Abdi Baraftabi, A., Samadi, F., Shahverdiani, S., & Hajiha, Z. (2025). The role of internal audit cycle based on machine learning techniques and artificial intelligence and its effects on improving audit processes. Management Accounting and Auditing Knowledge, 16(62), 443-457. https://doi.org/10.22034/jmaak.2025.78407.4530

Afifa, M. M. A. (2024). Accounting Going Digital: A Vietnamese Experimental Study on Artificial Intelligence in Accounting. VINE Journal of Information and Knowledge Management Systems. https://doi.org/10.1108/vjikms-10-2023-0266

Alavi, M., Leidner, D., & Mousavi, R. (2024). Knowledge management perspective of generative artificial intelligence (GenAI). -, -, 1-12. https://doi.org/10.2139/ssrn.4782875

Ali Ghorbani, M., Zolfaghari, R., & Imani, M. N. (2024). Identifying Dimensions and Components of Innovative Teaching Methods in Higher Education. Sociology of Education, 10(1), 355-365. https://doi.org/10.22034/ijes.2024.559157.1340

Bektash, A. (2024). The role of artificial intelligence in improving customer experience in digital banking. Proceedings of the First National Conference on Modern Perspectives in Management and Accounting with an Organizational Transformation Approach, Shiraz, Iran.

Chen, Q., Feng, Z., & Chen, J. (2024). Research on Organizational Inertia Identification of Traditional Manufacturing Enterprises and Its Impact Mechanism on Digital Transformation. Proceedings of the 2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence,

Culot, G., Podrecca, M., & Nassimbeni, G. (2024). Artificial intelligence in supply chain management: A systematic liter ature review of empirical studies and research directions. Computers in Industry, 162, 104132. https://doi.org/10.1016/j.compind.2024.104132

Fāmili, R., Roostā, A., & Ahmadi Sharif, M. (2024). Organizational Transformation with Artificial Intelligence (AI) Technologies Model and Marketing Strategies in the Banking Industry. Journal of Personal Development and Organizational Transformation, 2(1), 1-16.

Hosseini, S. (2024). Application of Artificial Intelligence in Knowledge Management. 8th National Conference on Management and the Tourism Industry, https://en.civilica.com/doc/2201947/

Husayn, E. (2025). The Impact of Artificial Intelligence on Knowledge Management: Faculty Perspectives From the University of Zawia’s Faculties of Economics, Management, and Law. Jetti, 3(1), 52-66. https://doi.org/10.61227/jetti.v3i1.163

Jafari, A., & Mousavi, S. (2024). Analysis of Challenges and Opportunities in Implementing Knowledge-Based Business Models with a Focus on Artificial Intelligence in Creative Industries. Journal of Innovative Business Management, 4(1), 33-57.

Kazi, J., & Rahman, S. (2024). Knowledge Management in the Age of Artificial Intelligence: Challenges and Opportunities. International Journal of Knowledge Management, 20(1), 1-15. https://ketabrah.com/book/82345

Khaleghizadeh Dehkordi, M., Sarraf, F., & Najafi Moghaddam, A. (2024). The Role of Performance Metrics in Explaining Investment Efficiency with Emphasis on the Artificial Intelligence Method. Journal of Accounting and Management Auditing Knowledge, 13(51), 151-168.

Lemieux, F. (2023). Digital transformation and artificial intelligence: opportunities and challenges. In Digital Strategies And Organizational Transformation (pp. 103-117). https://doi.org/10.1142/9789811271984_0006

Meena, R., Mishra, A. K., & Raut, R. K. (2024). Strategic insights: mapping the terrain of artificial intelligence (AI) in banking through mixed method approach. VINE Journal of Information and Knowledge Management Systems, ahead-of-print(ahead-of-print). https://doi.org/10.1108/VJIKMS-01-2024-0028

Mohammadi, A., Rezaei, S., & Nikzad, H. (2024). The Impact of Artificial Intelligence Technologies on Improving Strategic Decision-Making in Knowledge-Based Organizations: The Mediating Role of Organizational Innovation. Journal of Information Technology Management in Iran, 15(4), 245-270.

Mongkol, K. (2023). The future of artificial intelligence in Southeast Asia: The case of Thailand. In Handbook of research on artificial intelligence and knowledge management in Asia’s digital economy (pp. 12-35). IGI Global.

Nazarian-Jashnabadi, J., Ronaghi, M., alimohammadlu, m., & Ebrahimi, A. (2023). The framework of factors affecting the maturity of business intelligence. Business Intelligence Management Studies, 12(46), 1-39. https://doi.org/10.22054/ims.2023.74305.2346

Rezaei, M., Ghasemi, N., & Mansouri, A. (2024). Investigating the Impact of Artificial Intelligence on the Strategic Flexibility of Knowledge-Based Companies in VUCA Conditions. Quarterly Journal of Modern Management Research, 9(3), 55-75.

Downloads

Published

2026-12-22

Submitted

2025-12-01

Revised

2026-03-11

Accepted

2026-03-18

Issue

Section

مقالات

How to Cite

Bereliani, Y., Khouzin, A., Naderian, A., & Hosseini, S. M. R. (1405). Designing a Costing Model for Knowledge Management with a Sustainable Development Approach in Project-Based Organizations (Case Study: Maritime Industry). Training, Education, and Sustainable Development, 1-14. https://journaltesd.com/index.php/tesd/article/view/352

Similar Articles

1-10 of 234

You may also start an advanced similarity search for this article.