Wyniki wyszukiwania - BazTech

1

Modelling and analysis of blockchain implementation challenges in Indian agri-food supply chain management using the IMF-SWARA technique

Gupta Sumit, Ansari Hammad, Joshi Deepika, Gupta Rahul, Jagtap Sandeep, Prakash Surya, Mor Rahul

LogForum

|

2025

|

Vol. 21, no 3

405--418

EN

Background: India's agriculture and food sector is the backbone of the nation, sustaining a large portion of the population and contributing to global exports. Small and medium-sized enterprises (SMEs) generate the bulk of the world's food despite lacking adequate technological infrastructure and operational standards. This study identifies and evaluates the main blockchain challenges affecting food SMEs. The adoption of blockchain technology (BCT) in the agri-food supply chain offers numerous benefits, including improved supply chain performance, transparent information exchange, and reduced data tampering. Methods: This study examines the challenges encountered during the adoption of BCT and aims to highlight the factors that inhibit its implementation in the Indian agri-food supply chain (AFSC). Challenges were first identified through a literature review and then validated by a panel of five experts via a questionnaire survey. To prioritise these challenges, the Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF-SWARA) integrated with the Triangular Fuzzy Bonferroni Mean (TFBM) method was applied. Results: The identified challenges were evaluated using the integrated IMF-SWARA and TFBM approach. Lack of management commitment, negative perception of BCT, and high implementation costs emerged as the primary obstacles to BCT adoption in the Indian AFSC. Conclusion: Agriculture remains the foundation of livelihoods in India, with the nation still highly dependent on the sector, unlike Western countries. The research identified and prioritised the challenges of BCT implementation in the Indian agri-food supply chain using the integrated IMF-SWARA and TFBM approach. The findings are valuable for supply chain professionals and policymakers seeking to adopt blockchain technology. Furthermore, this research can be extended to explore blockchain challenges in specific functions such as procurement, warehousing, and distribution within the Indian agri-food industry. Future studies could employ more advanced multi-criteria decision-making (MCDM) fuzzy integrated approaches to analyse the data and enable more robust comparisons, thereby validating and complementing the results obtained through IMF SWARA and TFBN.

2

Logistics planning strategies for seasonal traffic management

Dabo Al-Amin Abba, Mor Rahul, Albatal Maha Mohammed, Raji Murtala, Aina Maria

LogForum

|

2025

|

Vol. 21, no 2

167--181

EN

Background: Seasonal urban traffic, driven by holidays, tourism, and weather conditions, poses significant challenges to logistics planning by exacerbating congestion and disrupting supply chains. Addressing these issues requires advanced forecasting techniques and integrated management strategies. This study explores the use of Exponential Triple Smoothing (ETS) forecasting to model traffic variations and develop practical strategies for managing seasonal urban traffic. Methods: A 23-year dataset (July 2000–July 2023) capturing monthly traffic volumes for heavy goods vehicles (HGVs), cars with trailers, and buses was analysed. ETS was applied to a conceptual scenario designed to demonstrate the application of real-world traffic data. This scenario illustrates how forecasting techniques can be used to analyse traffic trends and assess the impact of seasonal variations. Forecast accuracy was evaluated using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) to validate the reliability of the ETS model within the context of the KC Bridge scenario. Results: The forecasts revealed significant seasonal peaks in leisure traffic and steady growth in HGV volumes, with total traffic projected to exceed the sustainable threshold of 100,000 vehicles/month by 2025 during peak periods. Post-COVID variability in traffic patterns highlighted the challenges of using exceptional data for planning. Recommendations include dynamic toll pricing, infrastructure upgrades, and predictive scheduling to mitigate congestion and optimise logistics operations. Conclusions: By integrating ETS forecasts with strategic interventions, this study provides actionable insights for urban logistics and infrastructure planning. The KC Bridge case study provides a conceptual framework for addressing seasonal traffic challenges, offering replicable strategies for sustainable urban transportation systems.

3

Consumer perception towards traceable dairy products: an empirical study

Malik Mohit, Gahlawat Vijay Kumar, Mor Rahul, Kharub Manjeet

LogForum

|

2024

|

Vol. 20, no. 2

191--207

EN

Background: Growing concerns about food safety and quality practices require the dairy industry to sustain accountability and transparency. Knowing consumer perceptions and attitudes regarding traceability is critical for developing efficient market-driven approaches. Purpose of the Study: This empirical research explores consumer perceptions of product traceability within the dairy industry. It seeks to address the gap between industry practices and consumer demands by investigating their preferences, perceptions, and issues, which leads to enhanced decision-making, transparency, and a sustainable future. Design Methodology/Approach: A literature review was conducted to identify research gaps. The authors developed a questionnaire about traceability in the context of food safety and quality awareness. Exploratory factor analysis (EFA) was used to analyze the data collected from 439 respondents, and Principal component analysis (PCA) was used to factor categorization and analyze consumer perception of traceability. Findings: The reliability analysis of the data shows significantly high reliability. Five factors were extracted after performing EFA, and factor loadings and communality were acceptable. The research indicates that consumer demand for transparency in the dairy industry is increasing. Consumers are increasingly interested in learning about the historical background of dairy products, production practices, and ethical aspects. Traceability becomes an influential factor in purchases and devotion to a brand. Originality/Value: This study contributes to consumer awareness and allows industry stakeholders to improve the quality and safety of food techniques, promoting transparency at all supply chain stages.