Analysis of Competition in the Insurance Sector Using a Modified Matrix of Business Profitability

Kopiński, Adam; Porębski, Dariusz

doi:10.15611/nof.2017.3.06

Cited by 1 publication

(2 citation statements)

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“…This is different from the views of, inter alia, T. Noga and K. Adamowicz (Adamowicz, Noga, 2018), but at the same time consistent with the results of the research carried out by W. Lichota (Lichota, 2017), or B. Prusak (Prusak, 2005). A similar position to the possibility of using discriminatory models to evaluate enterprises from various sectors is expressed by A. Kopiński and D. Porębski (Kopiński, Porębski, 2015).…”

Section: Discussionsupporting

confidence: 66%

“…In turn, A. Kopiński and D. Porębski used early warning models to evaluate medical entities (Kopiński, Porębski, 2015). W. Lichota verified discriminatory models using a sample of 40 enterprises, of which 10 were subject to bankruptcy petitions to the court and 30 of them were characterized by a good financial condition.…”

Section: The State Of Research In the Literaturementioning

confidence: 99%

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The purpose of the article is to present the results of a PEST analysis of the legal, economic, social and technological determinants of hard coal market development in the European Union from 1990 to 2030. Design/methodology/approach: The research process was carried out with the use of four methods: analysis and synthesis (1) critical review of the literature (2), statistical techniques (3) and an industry case study (4). Findings: Detail regulatory (legal), economic, social (socio-cultural) and technology variables affecting the hard coal market have been identified. All the factors examined exhibited a destimulating effect on the development of the market, from the perspective of the entities operating on the hard coal extraction and utilization market in the European Union. The most pronounced negative effect stems from the social factors. The impact of the legal and economic determinants is of similar magnitude, whereas technological changes show the lowest potency in this regard. Research limitations/implications: Dynamic geopolitical changes and high susceptibility to interventionism can significantly affect the deviations of point forecasts in the pest coal industry in the long run. Practical implications: PEST analysis is used to assess the development of economic sectors regardless of the industry life cycle phase. It can also help determine a given industry's life cycle phase and its future migration trends in practice. Originality/value: The originality of this article lies in the employment of the quantification of macroenvironmental areas significantly affecting the industry, using an authorially modified PEST-based analysis.

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