Management of Business Risk Hedging in Construction Contracts from the Perspective of Public Investors

Andrlová, Barbara; Korytářová, Jana

doi:10.31803/tg-20200515215502

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Many indexes in the supply chain risk index system are nonquantitative indexes, and their degrees of influence on supply chain risks can be evaluated using the Delphi method, a questionnaire survey, and structured interviews based on an expert questionnaire (Andrlova & Korytarova, 2020). An expert system, an extensively applied method in AI technology, is an intelligent computing system that processes and solves complex problems in a field through the knowledge and experience of many experts (

Janjanam

et al, 2021).…”

Section: Case Study Of Entropy‐owa Methods Applicationmentioning

confidence: 99%

Expert system and entropy‐ordered weighted average method in cold supply chain risk evaluation

Shen

Yan

2022

Expert Systems

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If not well identified and controlled, risks in systematically engineered cold supply chains can lead directly to food safety incidents. In current approaches to cold supply chain risk evaluation, there is a lack of systematic classification and quantitative analysis of the influences of risk factors in the chain. To accurately evaluate unknown risks that can exert a fluctuating influence and result in great losses, this study builds a knowledge base of expert systems based on expertise and extensive experience and modifies the expert weights in conjunction with entropy weights to reduce subjective error. An ordered weighted average (OWA) operator is used to evaluate risk in a cold supply chain effectively. First, in combination with a case study of a typical fresh food e‐commerce enterprise, a typical fresh food e‐commerce enterprise, this paper identifies the risks in a food refrigeration supply chain. Second, relying on an expert group with professional knowledge and rich experience, an expert system knowledge base is constructed, risks are assigned, and the expert weight is modified in combination with the entropy weight method. Finally, based on the OWA operator, the modified risk assignment is effectively evaluated, and the risk value is obtained and sorted. Specific risk control measures are put forward according to the results of the calculation. The results show that an evaluation method combining an expert system knowledge base and the entropy‐OWA method can effectively depict and process the evaluation information needed for risk rankings and solve the problems of supply chain risks more rapidly and effectively.

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Janjanam

et al, 2021).…”

Section: Case Study Of Entropy‐owa Methods Applicationmentioning

confidence: 99%

Expert system and entropy‐ordered weighted average method in cold supply chain risk evaluation

Shen

Yan

2022

Expert Systems

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Institutional Investor, Economic Policy Uncertainty, and Innovation Investment: Evidence from China

Zhenjiang¹,

Lei²,

Wang³

2021

E+M

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As a participator in corporate investment decision-making, the institutional investor is directly related to the corporate innovation investment. However, the economic policy uncertainty is aggravated by problems, such as economic slump and trade friction. Thus, institutional investors are not optimistic about the prospects of innovation investment. To explore the influence of institutional investors on corporate innovation investment from the perspective of economic policy uncertainty, using the 2010–2018 panel data in China and the fixed effect model, the influences of institutional investors on innovation investment and the moderating effects of the economic policy uncertainty were analyzed. Results show that institutional investors facilitate corporate innovation investment. Moreover, the increasing economic policy uncertainties repress the promoting effect of institutional investors on innovation investment. Furthermore, the institutional investors boost the corporate innovation investment by improving the internal control and relieving the financing constraints. For private companies, new and high-tech companies, the promoting effect of institutional investors on the corporate innovation investment is inhibited by the economic policy uncertainty to a small extent. For the listed companies located in areas with a high level of investor protection and intellectual property protection, the economic policy uncertainty has a minimal influence on the institutional investors and corporate innovation investment. The conclusions obtained from this study provide empirical evidence for giving full play to the role played by institutional investors in corporate innovative development. The conclusions also reveal, from the macroscopic level, that the consistency and stability of governmental economic policies have important effects on corporate development.

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Management of Business Risk Hedging in Construction Contracts from the Perspective of Public Investors

Cited by 2 publications

References 5 publications

Expert system and entropy‐ordered weighted average method in cold supply chain risk evaluation

Expert system and entropy‐ordered weighted average method in cold supply chain risk evaluation

Institutional Investor, Economic Policy Uncertainty, and Innovation Investment: Evidence from China

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