Business intelligence in risk management: Some recent progresses

Risk management has become a vital topic both in academia and practice during the past several decades. Most business intelligence tools have been used to enhance risk management, and the risk management tools have benefited from business intelligence approaches. This introductory article provides a review of the state-of-the-art research in business intelligence in risk management, and of the work that has been accepted for publication in this issue of Information Sciences

The Theory of Money and Financial Institutions

A sketch of a game theoretic approach to the Theory of Money and Financial Institutions is presented in a nontechnical, nonmathematical manner. The detailed argument and specifics are presented in previous articles and in a forthcoming book.

Empowering remittance management in the digitised landscape: A real-time Data-Driven Decision Support with predictive abilities for financial transactions

Blockchain technology (BT) revolutionised remittance transactions recording, banks and remittance institutes have shown growing interest in exploring blockchain\u27s potential advantages over traditional practices. This paper presents a data-driven predictive decision support approach as an innovative artefact designed for blockchain-oriented remittance industry. Employing theory-generating Design Science Research (DSR) approach, the transaction Big Data (BD) driven predictive emerged. The artefact integrates Predictive Analytics (PA) and Machine Learning (ML) to enable real-time transactions monitoring, empowering management decision-makers to address challenges in the uncertain digitized landscape of blockchain-oriented remittance companies. Bridging the gap between theory and the practice, this research safeguards the remittance ecosystem while fostering future predictive decision support solution with its PA advancement in other domains. Additionally, the generation of theory from the artifact\u27s implementation enriches the DSR approach and fosters grounded and stakeholder theory development in the Information Systems (IS) domain

Economic growth and corporate renewal

To address competition from Emerging and Industrialized Countries it is necessary for Italian companies to face structural and financial reforms. Structural reforms will affect and improve processes, products. They will upgrade knowledge transfer. At the same time, financial reforms are necessary to adjust firms’ dimensions with what markets and international competition require. A movement in the right direction is the rise of innovative medium firms. These corporations are spreading through affiliation networks which improve the systemic efficiency and that are responsible for the progressive deep changes in the industry. Italy’s growth strategy will call for appropriate industrial policies and supported by a widespread socioeconomic consensus.internationalization, technological change, international trade, emerging countries.

The Necessity of Digital Technology in the Supply Chain Finance Network Based on Digital Integration

Modern enterprise information consultancy and management firms are evolving with a fresh paradigm. This model emphasizes primary businesses and oversees the capital, data, and logistical operations of small to medium-sized entities. It aims to transform unpredictable risks into manageable supply chain enterprise risks, ensuring the most minimal financial service risks. Additionally, supply chain finance offers a broad spectrum of financial solutions for businesses throughout the supply chain. As technology advances, this has given rise to a novel supply chain financial ecosystem. This network can effectively execute supply chain finance operations. Notably, supply chain finance is inherently a credit-based financing system. Conventional techniques fall short in addressing the trust issues within the financial network of supply chain finance. This study introduces a digital methodology for financial network scrutiny. Initially, computer systems are employed to probe the trustworthiness challenges of the financial network, segmenting indices based on the network's demands to mitigate interfering elements. Subsequently, these systems evaluate the financial trust impacts on the supply chain, establish a financial network blueprint, and undertake a holistic examination of the financial network outcomes. Simulations in MATLAB indicate that, when assessed under specific criteria, the digital technology's financial network trust in supply chain finance surpasses traditional approaches in network reliability

The Rise and Fall of Cryptocurrencies: Defining the Economic and Social Values of Blockchain Technologies, assessing the Opportunities, and defining the Financial and Cybersecurity Risks of the Metaverse

This paper contextualises the common queries of "why is crypto crashing?" and "why is crypto down?", the research transcends beyond the frequent market fluctuations to unravel how cryptocurrencies fundamentally work and the step-by-step process on how to create a cryptocurrency. The study examines blockchain technologies and their pivotal role in the evolving Metaverse, shedding light on topics such as how to invest in cryptocurrency, the mechanics behind crypto mining, and strategies to effectively buy and trade cryptocurrencies. Through an interdisciplinary approach, the research transitions from the fundamental principles of fintech investment strategies to the overarching implications of blockchain within the Metaverse. Alongside exploring machine learning potentials in financial sectors and risk assessment methodologies, the study critically assesses whether developed or developing nations are poised to reap greater benefits from these technologies. Moreover, it probes into both enduring and dubious crypto projects, drawing a distinct line between genuine blockchain applications and Ponzi-like schemes. The conclusion resolutely affirms the continuing dominance of blockchain technologies, underlined by a profound exploration of their intrinsic value and a reflective commentary by the author on the potential risks confronting individual investors

The Digitalisation of African Agriculture Report 2018-2019

An inclusive, digitally-enabled agricultural transformation could help achieve meaningful livelihood improvements for Africa’s smallholder farmers and pastoralists. It could drive greater engagement in agriculture from women and youth and create employment opportunities along the value chain. At CTA we staked a claim on this power of digitalisation to more systematically transform agriculture early on. Digitalisation, focusing on not individual ICTs but the application of these technologies to entire value chains, is a theme that cuts across all of our work. In youth entrepreneurship, we are fostering a new breed of young ICT ‘agripreneurs’. In climate-smart agriculture multiple projects provide information that can help towards building resilience for smallholder farmers. And in women empowerment we are supporting digital platforms to drive greater inclusion for women entrepreneurs in agricultural value chains

A review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations

A smart contract is a digital program of transaction protocol (rules of contract) based on the consensus architecture of blockchain. Smart contracts with Blockchain are modern technologies that have gained enormous attention in scientific and practical applications. A smart contract is the central aspect of a blockchain that facilitates blockchain as a platform outside the cryptocurrency spectrum. The development of blockchain technology, with a focus on smart contracts, has advanced significantly in recent years. However research on the smart contract idea has weaknesses in the implementation sectors based on a decentralized network that shares an identical state. This paper extensively reviews smart contracts based on multi criteria analysis challenges and motivations. Therefore, implementing blockchain in multi-criteria research is required to increase the efficiency of interaction between users via supporting information exchange with high trust. Implementing blockchain in the multi-criteria analysis is necessary to increase the efficiency of interaction between users via supporting information exchange and with high confidence, detecting malfunctioning, helping users with performance issues, reaching a consensus, deploying distributed solutions and allocating plans, tasks and joint missions. The smart contract with decision-making performance, planning and execution improves the implementation based on efficiency, sustainability and management. Furthermore the uncertainty and supply chain performance lead to improved users confidence in offering new solutions in exchange for problems in smart contacts. Evaluation includes code analysis and performance while development performance can be under development.Comment: Revie