Impact of Internet of Things (IoT) on Enhancing Transparency and Efficiency in Bangladesh's Agri-food Supply Chain

Authors

DOI:

https://doi.org/10.24857/rgsa.v18n9-059

Keywords:

Internet of Things (loT), Transparent Physical and Information Flow (PHF), Agri-food Supply Chain Transparency (TASC), Structural Equation Modeling (SEM), Bangladesh Agriculture Sector

Abstract

Background: The agri-food supply chain in Bangladesh is crucial for the nation's sustenance and economic stability but faces challenges like lack of transparency, inefficiencies, and information asymmetry. The integration of Internet of Things (IoT) technologies offers transformative potential, enhancing the Transparent Physical and Information Flow (PHF) and thereby influencing the Transparency in the Agri-food Supply Chain (TASC).

 

Objective: This study aims to investigate the impact of IoT integration on PHF and its subsequent effect on TASC in Bangladesh, framed around two core hypotheses: the significant influence of IoT on PHF and the consequent impact of an IoT-enhanced PHF on TASC.

 

Methods: Employing a comprehensive methodological framework, the study utilized IBM SPSS for exploratory factor analysis and IBM AMOS for confirmatory factor analysis (CFA) and structural equation modeling (SEM) to assess the relationships between IoT technologies, PHF, and TASC. The analysis was based on data collected from 400 respondents in Bangladesh's agriculture sector.

 

Results and Conclusion: The findings validate both hypotheses, demonstrating a significant and positive impact of IoT technologies on PHF and, subsequently, on TASC. The results highlight the crucial role of IoT in enhancing supply chain transparency and operational efficiency.

 

Implications of the Research: This research provides empirical evidence on the effectiveness of IoT technologies in addressing transparency issues within the agri-food supply chain. It underscores the potential of IoT to foster improved decision-making, efficiency, and consumer trust in the agricultural sector, particularly in developing contexts like Bangladesh.

 

Originality/Value: This study contributes original insights into the role of IoT technologies in enhancing the agri-food supply chain's transparency and efficiency. By focusing on the context of Bangladesh, it offers valuable implications for policymakers, industry practitioners, and researchers, emphasizing the transformative potential of IoT in agricultural supply chain management.

Downloads

Download data is not yet available.

References

Dovbischuk, I. (2023). Sustainability in Logistics Service Quality: Evidence from Agri-Food Supply Chain in Ukraine. Sustainability. https://doi.org/10.3390/su15043534

Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2010). Multivariate Data Analysis: A Global Perspective (7th ed.). New Jersey, USA: Pearson Education Inc.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2017). Multivariate data analysis. Cengage.

Hasan, I., & Habib, M. (2022). Dependence on intermediaries in agricultural supply chain in Bangladesh. International Supply Chain Technology Journal, 8(9). https://doi.org/10.20545/isctj.v08.i09.02

Hasan, I., Habib, M. M., & Mohamed, Z. (2023b). Key factors that can enable transparency in the volatile agri-food supply chain. International Supply Chain Technology Journal, 9(1). https://doi.org/10.20545/isctj.v09.i01.01

Hasan, I., Habib, Md. M., & Mohamed, Z. (2023a). A systematic literature review on Agri-Food Supply Chain transparency. International Journal of Supply Chain Management, 12(4), 14–29. https://doi.org/10.59160/ijscm.v12i4.6200

Hasan, I., Habib, Md. M., Mohamed, Z., & Tewari, V. (2023). Integrated Agri-Food Supply Chain Model: An application of IOT and Blockchain. American Journal of Industrial and Business Management, 13(02), 29–45. https://doi.org/10.4236/ajibm.2023.132003

Hutchcroft, T. (2023). Blockchain in Big Data for Agriculture Supply Chain. In Studies in Big Data. https://doi.org/10.1007/978-981-19-8730-4_9

Islam, M. A., & Rashid, M. R. A. (2022). Agri-food Traceability Using Blockchain Technology to Ensure Value Chain Management and Fair Pricing in Bangladesh. In World Forum on Internet of Things. https://doi.org/10.1109/WF-IoT54382.2022.10152086

Kothari, C. R. (2019). Research methodology: Methods and techniques. New Age International.

Kouhizadeh, M., & Sarkis, J. (2018). Blockchain practices, potentials, and perspectives in Greening Supply Chains. Sustainability, 10(10), 3652. https://doi.org/10.3390/su10103652

Kraft, S. K., & Kellner, F. (2022). Can blockchain be a basis to ensure transparency in an agricultural supply chain? Sustainability, 14(13), 8044. doi:10.3390/su14138044

Lankhorst, M. (2019). Enterprise architecture at work: Modelling, communication and analysis. Springer.

Liu, W., Shao, X., Wu, C., & Qiao, P. (2021). A systematic literature review on applications of information and communication technologies and Blockchain Technologies for Precision Agriculture Development. Journal of Cleaner Production, 298, 126763. doi:10.1016/j.jclepro.2021.126763

Purwandoko, P., Seminar, K., Sutrisno, S., & Sugiyanta, S. (2019). Development of a smart traceability system for the rice agroindustry supply chain in Indonesia. Information, 10(10), 288. doi:10.3390/info10100288

Rejeb, A., Keogh, J. G., Zailani, S., Treiblmaier, H., & Rejeb, K. (2020). Blockchain technology in the food industry: A review of potentials, challenges and future research directions. Logistics, 4(4), 27. doi:10.3390/logistics4040027

Saurabh, S., & Dey, K. (2021). Blockchain technology adoption, architecture, and sustainable agri-food supply chains. Journal of Cleaner Production, 284, 124731. doi:10.1016/j.jclepro.2020.124731

Scholtes, V. A., Terwee, C. B., & Poolman, R. W. (2011). What makes a measurement instrument valid and reliable? Injury, 42(3), 236–240. https://doi.org/10.1016/j.injury.2010.11.042

Schumacker, R., & Lomax, R. G. (2010). A Beginner's Guide to Structural Equation Modeling (3rd ed.). New York: Routledge, Taylor & Francis Group.

Sileyew, K. J. (2019). Research Design and Methodology [Online First], IntechOpen, DOI: 10.5772/intechopen.85731. Retrieved from: https://www.intechopen.com/online-first/research-design-and-methodology

The Financial Express. (2024). Empowering small farmers for rationalising market. The Financial Express. Retrieved 2024, from https://today.thefinancialexpress.com.bd/editorial/empowering-small-farmers-for-rationalising-market-1702994889.

Xuemin, Z., Zhiming, S., & Ping, G. (2012). The process of Information Systems Architecture Development. Procedia Engineering, 29, 775–779. https://doi.org/10.1016/j.proeng.2012.01.040

Yamane, T. (1967) Statistics: An Introductory Analysis. 2nd Edition, Harper and Row, New York.

Downloads

Published

2024-04-30

How to Cite

Hasan, I., Mohamed, Z., Habib, M. M., & Hanafi, H. B. M. (2024). Impact of Internet of Things (IoT) on Enhancing Transparency and Efficiency in Bangladesh’s Agri-food Supply Chain. Revista De Gestão Social E Ambiental, 18(9), e06160. https://doi.org/10.24857/rgsa.v18n9-059

Issue

Section

Artigos