Satyam Prakash Srivastava, Rupa Khanna Malhotra, Priyanshu Sagar
The blockchain technology in the banking sector is a decentralized ledger system and has been more commonly known by it being the basis of cryptocurrencies, such as Bitcoin. However, blockchain is to Bitcoin, as email is to internet; the possible areas of examination with the use of blockchain technology are gigantic. One of such areas is the banking sector, which has certain ambiguities, which needs to be spoken about proximately, such as the lack of distinct accountability, disorganization in deliverance on time, deficiency of transparency, and âtoo big to operate effectivelyâ kind of attitude. This research work is based on the careful exploration, examination, and evaluation of the possible methods of applying blockchain technology in the banking sector.
It has been set out to explore how the digital revolution and the rise of Fintech are fundamentally changing the way global trade routes are managed. The goal is to see if these new tools could fix the old headaches of international tradeâthink sky-high costs, shadowy processes, and constant security worriesâand replace them with supply chains that actually work better, stay safe, and respect the planet. Instead of just looking at numbers, we took a deep dive into qualitative insights by combing through academic papers, latest industry trends, and real-world case studies. It is paid close attention to the heavy hitters: blockchain, smart contracts, digital payments, and AI-powered logistics. To make it practical, we looked at how these technologies are performing in the real world across vital trade links like the Black Sea, the Middle Corridor, and the New Silk Road. The result of the paper is to going digital makes everything smoother. It cuts down waiting times, handles boring paperwork automatically, and finally lets everyone see whatâs happening in the supply chain in real-time. It was also found that Fintech is a game-changer for smaller businesses (SMEs) and developing areas, giving them a seat at the global trade table for the first time. That said, itâs not all smooth sailing; we still have to deal with patchy internet, messy regulations, cyber threats, and a serious lack of people who know how to run these systems. Digital tools and Fintech aren't just minor upgrades; they are revolutionary for trade management. But, to make it work, governments and private companies need to start rowing in the same direction. We need smart investments in better internet for everyone, global rules that actually match up, tighter security, and training programs that prepare people for the jobs of tomorrow. We wrap up the paper with a roadmap for leaders and businesses to help them make this transition without getting left behind.
This study explores the impact of digital payment adoption and blockchain-based supply chains on the integration of street vendors from Delhi-NCR into global e-commerce. The goal is to examine the potential of digital technologies in supporting business transition and socioeconomic improvement for informal-sector vendors. A mixed-method research design was employed, involving purposive sampling of 250 street vendors engaged in digital payment ecosystems. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to examine hypothesized relationships between digital adoption, business transition, and socioeconomic outcomes. Principal Component Analysis (PCA) addressed multicollinearity, and non-linear predictive relationships were analysed using Random Forest modelling. The findings reveal that digital adoption has a significant impact on business transition ( β = 0.64, p < 0.001), which, in turn, has a strong impact on socioeconomic upliftment ( β = 0.58, p < 0.001). Digital adoption also has a direct impact on socioeconomic outcomes that is positive but smaller ( β = 0.21, p = 0.033), suggesting partial mediation. Measurement reliability, validity, and predictive relevance were confirmed through structural model assessments. Digital payments have a limited direct impact on international trade, although they enable vendor inclusion and business transformation. By contrast, blockchain-based supply chain factors greatly enhance the efficiency of logistics, transparency, and supply chain-related performance. The study finds no direct income effects of digital technologies; instead, empowerment operates through entrepreneurial transition. The findings illustrate the need to go beyond financial inclusion and technological infrastructure to ensure the dynamic participation of the informal sector in global markets.
This study investigates the moderating role of blockchain traceability adoption in enhancing consumer engagement and purchase intention within live-streaming agricultural e-commerce platforms in China. Drawing upon the Stimulus-Organism-Response (S-O-R) framework operationalized at the aggregate market level and information asymmetry theory, this research employs longitudinal market-level time-series data spanning 2019 to 2024, utilizing hierarchical regression analysis with Hayes's conditional process framework to examine main effects, mediation mechanisms, and moderation relationships. The empirical findings reveal that platform development and information transparency exert significant positive effects on market purchase behavior, with consumer engagement serving as a partial mediating mechanism transmitting these effects. The moderation analysis demonstrates that blockchain traceability adoption significantly strengthens the relationships between platform stimuli and consumer engagement, with the information transparency pathway exhibiting substantially stronger moderation effects than the platform development pathway, demonstrating that blockchain technology functions as a selective trust-enhancing mechanism that validates quality signals rather than operating as a general platform enhancerâa distinction representing the central empirical contribution of this study. These findings extend the traditional S-O-R framework by incorporating technological infrastructure as a boundary condition shaping stimulus effectiveness at the market level, while providing practical guidance for platform operators and policymakers to prioritize blockchain traceability infrastructure investment in conjunction with transparency enhancement initiatives for promoting high-quality development of agricultural live streaming e-commerce.
The application of blockchain technology in streamlining cross border trade is quite pertinent within the African context, due to the underlying border delays and cumbersome documentation processes. This exploratory research focuses on examining, through case studies, how ten African nations have been applying blockchain technology in comparison to their BRICS counterpart. The study further examines the significance of blockchain technology in streamlining cross-border trade and rules of origin documentation within the context of the African Continental Free Trade Area (AfCFTA). The following nations, such as Egypt, Tunisia, South Africa, Botswana, Mauritius, Rwanda, Ethiopia, Kenya, Nigeria, and Ghana, were selected because they are actively participating in the African Continental Free Trade Area (AfCFTA)'s Guided Trade Initiative (GTI). The other aspect of this research examines the significance of the deployment of distributed ledger technology in BRICS. The significance of this study is to glean lessons from BRICS on the adoption of BCT. Critical realism is the philosophical underpinning of the research. This study applies the inductive approach, qualitative research design, and a case study research strategy. By examining existing case studies of blockchain applications in these selected African and BRICS nations, key lessons are learnt to enhance policy formulation. The result of this research is to enhance policy development on adoption of Block chain technology to build intra-African trade.
Agnes Nalini Vincent, Nassirah Laloo, Mohammad Sameer Sunhaloo, Uhoze Bagurubumwe
Digital elevation model (DEM)-based terrain analysis is an important geographic information system (GIS) methodology that serves as the core aspect for spatial analysis applications in geomorphological studies. These analyses can be performed using cloud-based platforms like Google Earth Engines or ArcGIS online, or using a local GIS platform called quantum GIS (QGIS). The resulting terrain data must be disseminated. Geospatial data sharing and dissemination are crucial for promoting cooperation, effectiveness, efficiency, and optimized decision-making in a variety of industries. Geospatial terrain data plays a crucial role in site selection and industrial planning, automated logistics, autonomous vehicle navigation, and infrastructure resilience in manufacturing ecosystems. However, existing literature states that traditional systems lack mechanisms to detect tampering in elevation models, land surveys, or hydrological data. Because of this, manufacturing systems face risks such as flawed factory site selection, disrupted supply routes, or unsafe autonomous vehicle navigation, data tampering in production logs, 278 counterfeit parts in supply chains, and a lack of real-time traceability. Hence, to manage the limitations of conventional terrain data storage and handling, this study proposes a blockchain-based framework to secure QGIS-processed terrain data, ensuring immutability and traceability for smart manufacturing applications. Blockchain distributed ledgers can permanently store high-resolution terrain data, minimize the chance of unintended alterations, and promote transparent, unrestricted collaboration. Using the country of the Republic of Mauritius as a case study toward tropical island states, this work demonstrated how elevation, slope, and aspect data extracted via QGIS can be securely stored and verified on a distributed ledger. Furthermore, this study incorporates an integration layer into the framework. The purpose of this integration layer is to enable real-time terrain alerts, smart contract-driven compliance checks, and to arrive at closed-loop feedback from IoT sensors. Thus, this proposed framework bridges blockchain-secured terrain data with manufacturing execution systems (MES) and IoT-enabled logistics networks.
Ensuring transparency and traceability in horticultural supply chains is difficult due to complex logistics, seasonal variability, and multiple intermediaries.We propose a framework that couples b-local irregular vertex coloring (b-LIVC) with a blockchain architecture to enable end-to-end verification of production and trade.On the Jember Regency subdistrict graph, we compute the b-local irregular chromatic number and obtain Ď b-lis (J) = 6, yielding six planting color classes that schedule sowing and harvests to distribute output across the year.The local irregularity induces distinct neighborhood weights, which we use as cryptographic features for unique, verifiable batch identifiers.We implement the pipeline on a public blockchain: harvest lots are tokenized as video NFTs with QR links to a verification page and on-chain records.The integration of discrete mathematics and distributed ledgers provides auditable provenance and transaction history, practical scheduling that reduces harvest clustering, and a low-overhead mechanism for farmer-level transparency.