The European Insurance Industry: A PEST analysis

Barbara, Charmaine; Cortis, Dominic; Perotti, Roberta; Sammut, Claudia; Vella, Alfred J.

doi:10.20944/preprints201705.0125.v1

Cited by 2 publications

(1 citation statement)

References 11 publications

(19 reference statements)

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“…SWOT analysis attempts to assess the sustainable development of an organisation by investigating both the internal and external factors (Zhao, et al, 2013). PEST analysis emphasises the effect of external macroeconomic factors on a project or an industry (Barbara, et al, 2017). It is inappropriate to implement SWOT analysis to deliberate the distributed wind power industry.…”

Section: Risk Management In Distributed Wind Powermentioning

confidence: 99%

Risk management in distributed wind energy implementing Analytic Hierarchy Process

Zhou

Yang

2020

Renewable Energy

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Distributed wind power has received growing attention in recent years. However, high risks remain in its investigation, which severely baffled its development. This study attempts to gather and identify risk factors in distributed wind power through literature reviews and rank the risks based on expert opinions. Based on previous literature, we classified risk for distributed wind power investment into four types, namely the political risks, economic risks, social risks, and technical risks. Analytic Hierarchy Process (AHP) method is used to assess risks in the life cycle of the distributed wind farm. Political, Economic, Social and Technical methodology as the criteria hierarchy is introduced to classify the identified risks as the subcriteria hierarchy in the AHP model. The result shows that the risk of changes in electricity price policy is the most critical impact on the distributed wind power system to obtain sustainable development and make profits. Therefore, the government needs to provide a longterm vision of electricity price policy to promote the development of distributed wind projects.

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Section: Risk Management In Distributed Wind Powermentioning

confidence: 99%

Risk management in distributed wind energy implementing Analytic Hierarchy Process

Zhou

Yang

2020

Renewable Energy

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The Grey Ten-Element Analysis Method: A Novel Strategic Analysis Tool

2022

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In this paper, a new strategic analysis method is introduced, called the ten-element analysis (TEA) method to determine the firm’s strategic position in the market. The new method is grounded on the computation of the reflections of the external factors on the firm’s internal factors through the changes of the values of the internal factors throughout the time when a lack of complete information regarding the environmental factors exists. The TEA method takes ten effective key elements of the firm into account and investigates their changes through a maximum of nine periods and a minimum of two periods. To conduct the model, the paper is mainly focused on four main rubrics, including the detection of the reflection of the firm’s environmental factors on the internal factors, deriving the strategic position of the firm from the reflections, the capability of the existing strategic models in determining the strategic position from the reflections in presence of uncertainty and incomplete information of the external factors. The method is applied to a dairy company in order to find its strategic position in the market. The results showed that the output of the TEA method and SWOT analysis is similar which makes the new method reliable to employ. The TEA method is developed under the grey environment to harness the uncertainty where a new grey comparison method is introduced to compare the grey numbers.

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The European Insurance Industry: A PEST analysis

Cited by 2 publications

References 11 publications

Risk management in distributed wind energy implementing Analytic Hierarchy Process

Risk management in distributed wind energy implementing Analytic Hierarchy Process

The Grey Ten-Element Analysis Method: A Novel Strategic Analysis Tool

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