Improving strategic decision making with big data-based media analysis - the case of coal power

Kalle Nuortimo and Janne Harkonen

International Journal of Global Environmental Issues, 2019, vol. 18, issue 3, 187-208

Abstract: Big-data based methods are developed to aid corporate decision-making. This study utilises big-data based global media-analysis to clarify the role of coal-power related media-image in company decision-making. Opinion mining by a specific software tool for media-analysis and monitoring is utilised. The analysis bases on the notion that the media-image of company products - or specific technologies - may impact corporate investment and divestment decisions in the energy sector. The assumption is that coal-power related media-image may cause corporate brandimage pressures. The findings indicate that the general media-sentiment towards coal-power is negative, possibly influencing corporate decisions. The large negative media-sentiment towards coal-power may override the benefits of developing cleaner coal-power and related technologies such as carbon capture and storage and utilisation. The negative media-sentiment towards coal-power may mitigate the more positive image of related less-known technologies. Evidence is provided on the media-impact of coal-power related divestment decisions and potential impacts on decision making.

Keywords: coal power; carbon capture and storage; CCS; carbon capture and utilisation; CCU; big data; media analysis; investment/divestment decisions; media-image; brand image; technology image; global environmental issues. (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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