Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Annals of Management and Organization Research Journal of Multidisciplinary Academic and Practice Studies
Torabi, Hassan
Unknown Affiliation
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Challenges and solutions for implementing knowledge management in knowledge-based companies supply chains Torabi, Hassan; Maalmir, Ali; Ahmadi, Hossein
Annals of Management and Organization Research Vol. 7 No. 1 (2025): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v7i1.2600

Abstract

Purpose: This study investigates challenges in implementing knowledge management systems within supply chains of knowledge-based companies in Iran and proposes actionable solutions for effective application. Methodology/Approach: A qualitative approach was employed, combining library studies, structured interviews with company founders, managers, and experts, and focus group discussions. A total of 182 propositions were categorized into six key themes—Financial Factors, Environmental Factors, Organizational Factors, Technology Factors, Personal Factors, and Strategic Action—and 31 subcategories. Results/Findings: The research identified significant obstacles, including inadequate planning, insufficient training, unclear organizational roles, regional influences, political challenges, lack of awareness regarding benefits, and poor financial management. Recommended solutions include creating detailed plans, appointing dedicated roles for knowledge management, improving training, fostering adaptability, and optimizing financial management practices. Conclusions: A systematic, proactive approach integrating strategic planning, cultural considerations, and flexible frameworks is essential for overcoming barriers. These measures enhance supply chain management and bolster competitiveness in a knowledge-driven economy. Limitations: This study is specific to knowledge-based companies in Iran and may not reflect industries or regions with differing contexts. Contribution: The findings provide valuable insights for policymakers, academics, and practitioners aiming to optimize knowledge management implementation, supporting innovation and efficiency in supply chains.
Challenges and solutions for implementing knowledge management in knowledge-based companies supply chains Torabi, Hassan; Maalmir, Ali; Ahmadi, Hossein
Annals of Management and Organization Research Vol. 7 No. 1 (2025): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v7i1.2600

Abstract

Purpose: This study investigates challenges in implementing knowledge management systems within supply chains of knowledge-based companies in Iran and proposes actionable solutions for effective application. Methodology/Approach: A qualitative approach was employed, combining library studies, structured interviews with company founders, managers, and experts, and focus group discussions. A total of 182 propositions were categorized into six key themes—Financial Factors, Environmental Factors, Organizational Factors, Technology Factors, Personal Factors, and Strategic Action—and 31 subcategories. Results/Findings: The research identified significant obstacles, including inadequate planning, insufficient training, unclear organizational roles, regional influences, political challenges, lack of awareness regarding benefits, and poor financial management. Recommended solutions include creating detailed plans, appointing dedicated roles for knowledge management, improving training, fostering adaptability, and optimizing financial management practices. Conclusions: A systematic, proactive approach integrating strategic planning, cultural considerations, and flexible frameworks is essential for overcoming barriers. These measures enhance supply chain management and bolster competitiveness in a knowledge-driven economy. Limitations: This study is specific to knowledge-based companies in Iran and may not reflect industries or regions with differing contexts. Contribution: The findings provide valuable insights for policymakers, academics, and practitioners aiming to optimize knowledge management implementation, supporting innovation and efficiency in supply chains.
A mathematical model of routing problem for hazardous biomedical waste: A multi-objective particle swarm optimization solution approach Heydari, Meysam; Torabi, Hassan; Jahromi, Meghdad
Journal of Multidisciplinary Academic and Practice Studies Vol. 1 No. 2 (2023): May
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jomaps.v1i2.1794

Abstract

Purpose: This model aims to solve a Green Heterogeneous and Stochastic Capacitated Vehicle Routing Problem that considers risks and environmental hazards. Research Methodology: Regarding an NP-hard and complex problem, and after confirming the accuracy of the problem-solving in smaller dimensions by GAMS software, the problem is solved by the metaheuristic algorithm of multi-objective particle swarm optimization (MOPSO) and its coding in MATLAB software. Results: The results urge that using random sampling and probability The findings indicate that MOPSO effectively produces optimal or near-optimal solutions with significantly reduced computational time compared to GAMS. In small-scale cases, results matched the exact solutions, while larger-scale instances demonstrated the efficiency of the algorithm in handling complex routing problems. Sensitivity analyses revealed that prioritization of objectives—such as environmental impact, reliability, or routing cost—led to different but balanced routing strategies, confirming the model’s adaptability. Conclusions: The proposed model ensures reliable and environmentally conscious waste transportation by integrating cost, risk, and time-window considerations. It demonstrates strong performance in optimizing multi-objective routing problems under uncertainty. Limitation: The proposed method is a routing problem and has been applied for the Green Heterogeneous and Stochastic Capacitated Vehicle Routing Problem. Future researchers may work on real data sets and hazardous biomedical waste data. Contribution: Based on the results presented, the model derived in this study can support decisions such as routing, prioritization, and time to reach each node, so that the costs of routing, system reliability, environmental issues, and penalties for violation of the priority and maximum time elapsed for vehicles are considered.
Co-Authors Ahmadi, Hossein Heydari, Meysam Jahromi, Meghdad Maalmir, Ali