Designing a Model of Factors Affecting the LARG Supply Chain Using the Grounded Theory Approach

Authors

    Fereshteh Ghasemi PhD student, Department of Management, Abhar Branch, Islamic Azad University, Abhar, Iran.
    Moaafi Madani SeyedMahdi * Assistant Professor, Department of Management, Hidaj Branch, Islamic Azad University, Hidaj, Iran. madany.ssm@gmail.com
    Babak Haji karimi Assistant Professor, Department of Management, Abhar Branch, Islamic Azad University, Abhar, Iran.
    Farid Asgari Assistant Professor, Department of Management, Abhar Branch, Islamic Azad University, Abhar, Iran.
https://doi.org/10.61838/dmbaj.208

Keywords:

LARG supply chain, Supply Chain Management, agile supply chain, grounded theory

Abstract

Objective: The present study aims to design a model of factors affecting the LARG supply chain using the grounded theory approach.Methodology: This research is applied in nature and, in terms of data collection method, falls under the category of qualitative research. For this purpose, data were collected through semi-structured interviews with participants and content analysis. The statistical population of this study includes all managers and experts in this field. Sampling was conducted theoretically, which is a type of purposive sampling, and continued until theoretical saturation of the categories was achieved.Findings: Following the open coding process and categorization of extracted concepts, a total of 167 open codes were identified. Subsequently, axial and selective coding were performed, leading to the extraction of 26 axial codes. The selective coding process included causal factors, contextual factors, intervening factors, strategies, and outcomes, with the core category being the LARG supply chain.Conclusion: The results of this research can be beneficial for managers and decision-makers in the field of supply chain management, as they provide a better understanding of the challenges and opportunities in this domain. Furthermore, it is recommended that future research employ mixed-method approaches (qualitative and quantitative) to further investigate these factors and their effects, enabling the development of more practical models.

Downloads

Download data is not yet available.

References

Ahmadi, R., & Saffari, H. (2024). The Effect of Knowledge-Based Leadership on Company Performance According to the Mediating Role of Customer Knowledge Management and Innovation Quality. Dynamic Management and Business Analysis, 2(4), 13-20. https://doi.org/10.22034/dmbaj.2024.2022216.1009

Ariaparsa, M., & Ebramihi, H. (2023). Technology Transfer Process in the Context of Open Innovation Paradigm. Dynamic Management and Business Analysis, 2(2), 28-39. https://doi.org/10.22034/dmbaj.2024.2022823.1017

Azevedo, S. G., Carvalho, H., & Cruz-Machado, V. (2016). LARG index: A benchmarking tool for improving the leanness, agility, resilience and greenness of the automotive supply chain. Benchmarking: An International Journal, 23(6), 1472-1499. https://doi.org/10.1108/BIJ-07-2014-0072

Çeke, H. (2022). Lean, Agile, Resilient and Green Supply Chain Management (LARG SCM) Marmara Universitesi (Turkey)]. https://www.proquest.com/openview/faf807502821275396f0e4e37807c2f2/1.pdf?pq-origsite=gscholar&cbl=2026366&diss=y

Ezadiyar, M., Tolu'i Ashlaqī, A., & Seyed Hosseini, S. M. (2020). A Model for Performance Evaluation of Large-Scale Supply Chain Management Methods in the Automotive Supply Chain Using System Dynamics. Industrial Management, 12(1), 111-142. https://www.sid.ir/paper/391000/en

Farahani, R. Z., Rezapour, S., Drezner, T., & Fallah, S. (2014). Competitive supply chain network design: An overview of classifications, models, solution techniques and applications. Omega, 45, 92-118. https://doi.org/10.1016/j.omega.2013.08.006

Foster, S. T., & Gardner, J. W. (2022). Managing quality: Integrating the supply chain. John Wiley & Sons. https://books.google.de/books/about/Managing_Quality.html?id=HnafEAAAQBAJ&redir_esc=y

Gholami Afshar, M., & Moradi Hazarvand, E. (2023). The Impact of Consumer Associations with the Organization on Brand Loyalty: Considering the Role of Consumer Perception (Case Study: Tehran Tejarat Bank). Dynamic Management and Business Analysis, 2(3), 27-41. https://doi.org/10.22034/dmbaj.2024.2022123.1006

Helmold, M., Küçük Yılmaz, A., Dathe, T., & Flouris, T. G. (2022). Global Supply Chains. In Supply Chain Risk Management: Cases and Industry Insights (pp. 79-89). Springer International Publishing. https://doi.org/10.1007/978-3-030-90800-3_4

Hugos, M. H. (2018). Essentials of supply chain management. John Wiley & Sons. https://doi.org/10.1002/9781119464495

Kara, K., & Edinsel, S. (2022). The mediating role of green product innovation (GPI) between green human resources management (GHRM) and green supply chain management (GSCM): evidence from automotive industry companies in Turkey. Supply Chain Forum: An International Journal,

Kersten, W., Blecker, T., & Ringle, C. M. (2019). Artificial intelligence and digital transformation in supply chain management: innovative approaches for supply chains. epubli GmbH. https://books.google.de/books/about/Artificial_Intelligence_and_Digital_Tran.html?id=zYztzQEACAAJ&redir_esc=y

Mansouri, H. (2022). Investigating the Impact of Supply Chain Management on Distribution Industry Performance. New Research in Entrepreneurship Management and Business Development, 9(3), 379-399. https://en.civilica.com/doc/1761958/

Mehri Babadi, E., Iranzadeh, S., & Fathi Hafshjani, K. (2022). Providing a Model for Performance Evaluation of Large-Scale Supply Chain in the Oil and Gas Industry (Case Study: National Iranian South Oil Company). Iranian Management Sciences Association Quarterly Journal, 17(65), 83-121. https://journal.iams.ir/article_369.html

Mondal, S. (2019). A new supply chain model and its synchronization behaviour. Chaos, Solitons & Fractals, 123, 140-148. https://doi.org/10.1016/j.chaos.2019.03.027

Moshtaghi, P. (2023). The Effect of Customer Relationship Management Strategy on Customer Satisfaction According to the Mediating Role of Innovation Capability in the Banking Industry. Dynamic Management and Business Analysis, 1(1), 16-23. https://doi.org/10.22034/dmbaj.2024.2022129.1008

Parsakia, K., Kazemi, S., & Saberi, S. (2023). Strategic Management of Technology in Psychology: Implications for Decision-Making. Health Nexus, 1(3). https://doi.org/10.61838/kman.hn.1.3.12

Rajeev, A., Pati, R. K., Padhi, S. S., & Govindan, K. (2017). Evolution of sustainability in supply chain management: A literature review. Journal of Cleaner Production, 162, 299-314. https://doi.org/10.1016/j.jclepro.2017.05.026

Raut, R. D., Mangla, S. K., Narwane, V. S., Dora, M., & Liu, M. (2021). Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains. Transportation Research Part E: Logistics and Transportation Review, 145, 102170. https://doi.org/10.1016/j.tre.2020.102170

Ruiz-Benítez, R., López, C., & Real, J. C. (2018). The lean and resilient management of the supply chain and its impact on performance. International Journal of Production Economics, 203, 190-202. https://doi.org/10.1016/j.ijpe.2018.06.009

Sahu, A. K., Raut, R. D., Gedam, V. V., Cheikhrouhou, N., & Sahu, A. K. (2023). Lean-agile-resilience-green practices adoption challenges in sustainable agri‐food supply chains. Business Strategy and the Environment, 32(6), 3272-3291. https://doi.org/10.1002/bse.3299

Salimi Zaviyeh, S. Q., & Shams, S. (2023). Exploring Digital Supply Chain Management (Future Development Trends). Iranian Tire Industry, 25(102), 49-62. https://www.iranrubbermag.ir/article_136713.html

Shams, S., & Salimi Zaviyeh, S. Q. (2021). A Review of Large-Scale Supply Chain Management (Exploring Large-Scale Supply Chain Management Models). Iranian Tire Industry, 26(103), 79-87. https://sid.ir/paper/1044058/en

Soleimani, A., Aghajani, M., & Landaran, S. (2024). Identifying Factors Influencing Customer Variety-Seeking Behavior in Online Retail Markets: A Qualitative Study. Dynamic Management and Business Analysis, 3(1), 245-257. https://doi.org/10.61838/dmbaj.3.1.14

Sousa, J. C. D., Alves, M. B., Leocádio, L., & Rossato, J. (2020). Environmental Management of Larg Supply Chain: A Diagnostic Instrument Proposed for Assessing Suppliers. BBR. Brazilian Business Review, 16, 537-554. https://doi.org/10.15728/bbr.2019.16.6.1

Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Garza-Reyes, J. A. (2020). Supply chain management 4.0: a literature review and research framework. Benchmarking: An International Journal, 28(2), 465-501. https://doi.org/10.1108/BIJ-04-2020-0156

Downloads

Published

2025-03-09

Submitted

2024-12-29

Revised

2025-02-08

Accepted

2025-02-25

Issue

Section

مقالات

How to Cite

Ghasemi, F., SeyedMahdi, M. M., Haji karimi, B., & Asgari, F. (2025). Designing a Model of Factors Affecting the LARG Supply Chain Using the Grounded Theory Approach. Dynamic Management and Business Analysis, 4(2), 74-90. https://doi.org/10.61838/dmbaj.208

Similar Articles

11-20 of 278

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