A Novel Method for Identifying Competitors Using a Financial Transaction Network

Choi, Jaepil; Tosyali, Ali; Kim, Byung–Hoon; Lee, Ho-shin; Jeong, Myong K.

doi:10.1109/tem.2019.2931660

Cited by 14 publications

(2 citation statements)

References 81 publications

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“…Thence, for example, in the event that the initial moment of the periodic instalments is true and the end is subject to a contingency, it will be the financial institution, lender, and creditor of the capital, who will assume the risk of the extinction of the return of the amount that was pending. In such a case, the probability of an income's n-term duration and payment of these terms will be subject, for example, to the random phenomenon of the borrower's survival [67,68]. Likewise, loan transactions can also be considered where randomness affects the origin of the periodic instalments, and even transactions where both first and last of the periodic instalments are random.…”

Section: Random Financial Transactionsmentioning

confidence: 99%

Global Research Trends in Financial Transactions

Abad-Segura

González-Zamar

2020

Mathematics

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Traditionally, financial mathematics has been used to solve financial problems. With globalization, financial transactions require new analysis based on tools of probability, statistics, and economic theory. Global research trends in this topic during the period 1935–2019 have been analyzed. With this objective, a bibliometric methodology of 1486 articles from the Scopus database was applied. The obtained results offer data on the scientific activity of countries, institutions, authors, and institutions that promote this research topic. The results reveal an increasing trend, mainly in the last decade. The main subjects of knowledge are social sciences and economics, econometrics, and finance. The author with the most articles is Khare from the Indian Institute of Management Rohtak. The most prolific affiliation is the British University of Oxford. The country with the most academic publications and international collaborations is the United States. In addition, the most used keywords in articles are “financial management”, “financial transaction tax”, “banking”, “financial service”, “blockchain”, “decision making”, and “financial market”. The increase in publications in recent years at the international level confirms the growing trend in research on financial transactions.

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Section: Random Financial Transactionsmentioning

confidence: 99%

Global Research Trends in Financial Transactions

Abad-Segura

González-Zamar

2020

Mathematics

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“…Ameri et al [374] highlighted the benefits of ontologies toward decision inference, semantic unification, and automation for supplier discovery, whereas Nunes et al [375] leveraged centrality graphs to identify collaborative risks for organizational efficiency and performance to enhance resilience and sustainability. Zhao et al [376] presented a DT-enabled dynamic spatial-temporal knowledge graph for resource allocation in production logistics, and Choi et al [377] proposed a network-based competitor identification method based on resource and financial transactions.…”

Section: Industrial Knowledge Graph-enabled Decision Support Systemmentioning

confidence: 99%

Graph-enabled digital twins for intelligent product lifecycle management: a multi-dimensional approach to design, manufacturing, and supply chain transformation

Lim

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In today's increasingly dynamic business landscape, industries are faced with global headwinds, intensified competition, and increased volatility driven by factors such as increased demand for tailored products and solutions as well as geopolitical, economic, and climate disruptions.To address these challenges and remain competitive, the product lifecycle management (PLM) paradigm, which allows companies to be in control of their products and services across the lifecycle, has gained attention from industries. This cross-functional approach, enabled by Industry 4.0 information and communication technology (ICT) enablers such as digital twins (DT) and knowledge graphs (KGs), can elevate existing capabilities for customizability and manufacturing resilience. This thesis explores the role of DT and KG in enhancing PLM capabilities, integrating multiple lifecycle phases with emphasis on product design, manufacturing, and supply chain management (SCM). The adoption of these transformative technologies has the potential to enhance existing mass customization strategies such as the product family (PF) approach and Smart Product-Service Systems (Smart PSS), paving the way for intelligent decision support systems. Applicable to a wide range of industries, the use of DT systems with KG as a computational driver can support stakeholders in improving operational efficiencies, and responsiveness for disruption management. The main contributions of the thesis can be categorized into five research areas highlighted below:1) Establishing an environment-based context-aware DT system to enhance PF design and optimization. To overcome the challenges of identifying optimal product configurations in the planning phase and overcoming user requirement changes in the usage phase, a context-aware Abstract 10 DT system incorporating real-world environment aspects is proposed to aid PF reconfiguration and redesign. A novel benchmark and interacting mechanism automatically identifies feasible PF modules, reducing the need for costly and bias-prone expert recommendations, as demonstrated by a case study on tower crane planning and deployment.2) Developing DT-as-a-Service to advance service-oriented digital manufacturing. Based on the flexibility and versatility of DT in manufacturing processes, these systems are pivotal towards customized production systems. A four-tier technology stack is proposed to construct DT systems using a modular approach and leverages advanced computational methodologies and tools such as extended reality (XR) to support a wider range of shop floor manufacturing processes. Here, DT systems are used as a fundamental to enable Smart PSS and circular economy paradigms to drive sustainability and customizability efforts. These multi-faceted capabilities are featured in two use cases, additive manufacturing, and gearbox assembly line. 3) Enabling causal inference for maintenance operations using cognitive digital twins (CDTs).The intricate nature of large production systems results in challenges pertaining to the root ca...

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