Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management

Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order.Amidst the challenges posed by intricate and unpredictable risk factors,knowledge graph technology is effectively driving risk management,leveraging its ability to associate and infer knowledge from diverse sources.This review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business scenarios.Firstly,employing bibliometric methods,the aim is to uncover the developmental trends and current research hotspots within the domain of enterprise risk knowledge graphs.In the succeeding section,systematically delineate the technical methods for knowledge extraction and fusion in the standardized construction process of enterprise risk knowledge graphs.Objectively comparing and summarizing the strengths and weaknesses of each method,we provide recommendations for addressing the existing challenges in the construction process.Subsequently,categorizing the applied research of enterprise risk knowledge graphs based on research hotspots and risk category standards,and furnishing a detailed exposition on the applicability of technical routes and methods.Finally,the future research directions that still need to be explored in enterprise risk knowledge graphs were discussed,and relevant improvement suggestions were proposed.Practitioners and researchers can gain insights into the construction of technical theories and practical guidance of enterprise risk knowledge graphs based on this foundation.

A REVIEW OF ENTERPRISE SUPPLY CHAIN RISK MANAGEMENT

This paper reviews enterprise risk management practices in the context of supply chains. Starting with the importance of managing supply chain risks, the paper established the benefits of managing risks using an enterprise-wise integrated approach. The rest of the paper then presents a practical framework for enterprises to manage risks in their extended supply chains.

Managing obsolescence of embedded hardware and software in secure and trusted systems

Obsolescence of integrated systems which contain hardware and software is a problem that affects multiple industries and can occur for many reasons,including technological,economic,organizational,and social factors.It is especially acute in products and systems that have long life cycles,where a high rate of technological innovation of the subcomponents result in a mismatch in life cycles between the components and the systems.While several approaches for obsolescence forecasting exist,they often require data that may not be available.This paper describes an approach using non-probabilistic scenarios coupled with decision analysis to investigate how particular scenarios influence priority setting for products and systems.Scenarios are generated from a list of emergent and future conditions related to obsolescence.The key result is an identification of the most and least disruptive scenarios to the decision maker’s priorities.An example is presented related to the selection of technologies for energy islanding,which demonstrates the methodology using six obsolescence scenarios.The paper should be of broad interest to scholars and practitioners engaged with enterprise risk management and similar challenges of large-scale systems.