Explaining an Interactive Network-Based Training Model for Iran Khodro Personnel Inspired by Toyota’s Human Resource Training Model
Keywords:
Interactive training, communication network, human resources, Iran Khodro, thematic analysis, Toyota modelAbstract
This study aimed to develop a context-sensitive interactive network-based training model for Iran Khodro personnel inspired by Toyota’s human resource training and development principles. This applied qualitative study employed thematic analysis. Participants comprised 15 managers, experts, trainers, supervisors, and operational employees affiliated with Iran Khodro and Iran Khodro Assistance Company, who were recruited through purposive sampling until theoretical saturation was achieved. Data were collected through semi-structured interviews. Meaning units were initially coded, similar codes were grouped into basic themes, basic themes were organized into higher-order themes, and the resulting themes were integrated into the principal categories of the conceptual model. MAXQDA software was used for data organization and coding. Trustworthiness was enhanced through repeated review of interview transcripts, comparison of codes with raw data, partial review of the coding process, documentation of analytical decisions, and continuous assessment of the correspondence between extracted themes and the original data. The thematic analysis identified eight principal categories: design and key characteristics of the interactive training platform, quality and diversity of educational content, strategies for enhancing employee motivation and participation, implementation challenges, strategies for overcoming implementation barriers, evaluation of training effectiveness, cultural and teamwork-related consequences, and adaptation and localization of Toyota’s model to Iran Khodro’s organizational conditions. The findings indicated that model effectiveness depends on accessibility, usability, interactive communication, practical and skill-oriented content, personalized learning, managerial support, linkage between training and job performance, adequate technological infrastructure, change management, continuous evaluation, and work-based learning. Interactive training was also found to support knowledge sharing, teamwork, continuous-learning culture, innovation, employee engagement, and transfer of learning to actual workplace performance. Interactive network-based training should be conceptualized not merely as the digitalization of conventional courses but as an integrated, performance-oriented, problem-based, and continuously improving organizational learning system. Combining Toyota-inspired principles of workplace learning, coaching, standardization, problem solving, and continuous improvement with Iran Khodro’s technological, cultural, operational, and workforce requirements can facilitate the transition from fragmented course-based training toward a networked learning organization.
Downloads
References
Ariansyah, D., Pardamean, B., Barbaro, E., & Erkoyuncu, J. A. (2024). Augmented reality training for improved learnability. CIRP Journal of Manufacturing Science and Technology, 48, 19-27. https://doi.org/10.1016/j.cirpj.2023.11.003
Attaran, A., & Rezaeizadeh, M. (2020). Studying the impact of in-service training on employee performance at Iran Khodro's Design, Engineering, and Parts Supply Company (SAPCO). New Research Approaches in Management and Accounting, 4(15), 114-129.
Bonyadi, P., Saki, R., & Fazlollahi Ghomshi, S. A. (2022). Identifying factors affecting human resource excellence in education: Primary school teachers. Sociology of Education, 7(1), 332-341.
Brandl, F. J., Ridolfi, K. S., & Reinhart, G. (2020). Can we adopt the Toyota Kata for the (re-)design of business processes in the complex environment of a manufacturing company? Procedia CIRP. https://doi.org/10.1016/j.procir.2020.03.086
Caterino, M., Cutolo, P., De Simone, V., Di Pasquale, V., Miranda, S., & Riemma, S. (2025). Workforce training strategies and performance assessment in manufacturing environments: A preliminary investigation. Procedia Computer Science, 253, 2399-2408. https://doi.org/10.1016/j.procs.2025.01.300
de Souza, R. O., Ribeiro, D. R. S., Bonamigo, A., & Forcellini, F. A. (2025). Integration of Lean 5.0 principles with Toyota Kata: Advancement of human-centric and sustainable practices in assembly line operations. IFAC-PapersOnLine, 59(10), 13-18. https://doi.org/10.1016/j.ifacol.2025.09.004
Ebadi, A., Safari, T., & Maleki, H. (2021). Examining ethical components affecting e-learning for human resource development. 11(38), 25-46.
Langendorf, L. N., & Khalid, M. S. (2025). Systematic literature review on usability and training outcomes of using digital training technologies in industry. Computers in Human Behavior Reports, 17, 100604. https://doi.org/10.1016/j.chbr.2025.100604
Lodgaard, E., Iakymenko, N., & Mogos, M. F. (2023). Toyota Kata for continuous improvement; an action research project in the construction industry. International Journal of Lean Six Sigma, 14(6), 1264-1279. https://doi.org/10.1108/IJLSS-05-2022-0121
Macpherson, W., Werner, A., & Mey, M. R. (2022). Industry 4.0: Emerging job categories and associated competencies in the automotive industry in South Africa. Sa Journal of Human Resource Management, 20, a1916. https://doi.org/10.4102/sajhrm.v20i0.1916
Mandaleeka, L. K., Thatta, S., & Sriramneni, C. (2025). Influence of digital training on job performance in South Indian automotive sector: A sequential mediation via psychological factors. The Learning Organization, 32(6), 970-992. https://doi.org/10.1108/TLO-10-2023-0188
Martins, B. R., Jorge, J. A., & Zorzal, E. R. (2023). Towards augmented reality for corporate training. Interactive Learning Environments, 31(4), 2305-2323. https://doi.org/10.1080/10494820.2021.1879872
Naranjo, J. E., Sanchez, D. G., Robalino-Lopez, A., Robalino-Lopez, P., Alarcon-Ortiz, A., & Garcia, M. V. (2020). A scoping review on virtual reality-based industrial training. Applied Sciences, 10(22), 8224. https://doi.org/10.3390/app10228224
Oghabaei, S., Golbabaei, M., & Shahabadi, M. R. (2023). The effect of MOOC-based training on the performance of Tehran Municipality employees. 5(4), 123-140. https://doi.org/10.22034/jmep.2024.396994.1195
Rasouli Harzand, M., Ghahramani, J., & Hosseinzadeh, A. A. (2023). Validating and prioritizing organizational human resource competencies based on soft skills training among Bank Melli employees in East Azerbaijan Province. Islamic Economics and Banking, 12(43), 513-536.
Rezaei Sirous, S., Imani, M. N., & Sharifi, A. (2022). Developing a model for predicting return on investment in human resource training and development based on organizational culture components and professional competence. Sociology of Education, 6(2), 92-102.
Shakeri, M., Kargar Bideh, M., Sharafat, A., & Houshi al-Sadat, S. A. (2023). Diagnosing the human resource in-service training system based on grounded theory: A case study of training in a public organization. Positive Behavior in Educational Organizations, 1(1), 17-32.
Wang, W., He, Z., Zhang, M., & Huo, B. (2022). Well begun is half done: Toward an understanding of predictors for initial training transfer. European Management Journal, 40(2), 247-257. https://doi.org/10.1016/j.emj.2021.04.002
Yaqub, Y., Dutta, T., Singh, A. K., & Srivastava, A. R. (2024). Extending training predictors link with training transfer through mediation of motivation. Evidence-based HRM: a Global Forum for Empirical Scholarship, 12(3), 512-530. https://doi.org/10.1108/EBHRM-08-2022-0188
Zawadzki, P., Żywicki, K., Buń, P., & Górski, F. (2020). Employee training in an intelligent factory using virtual reality. IEEE Access, 8, 135110-135117. https://doi.org/10.1109/ACCESS.2020.3010439
Zhen, M., & Ding, W. (2024). Empowering employees for digital transformation in manufacturing enterprises: A case study. South African Journal of Business Management, 55(1), a4207. https://doi.org/10.4102/sajbm.v55i1.4207
Downloads
Publication Timeline
- Submitted
- Revised
- Accepted
Issue
Section
License
Copyright (c) 2026 Bita Rahnamaie Zarbijari (Author); Masoumeh Sadat Abtahi; Hamidreza Maghami, Keyvan Salehi (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.