University of Oulu

Nuortimo, Kalle; Härkönen, Janne (2019) Improving strategic decision making with big data-based media analysis : the case of coal power. International journal of global environmental issues 18(3): 187-208. https://doi.org/10.1504/IJGENVI.2019.102773

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

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Author: Nuortimo, Kalle1; Härkönen, Janne1
Organizations: 1Industrial Engineering and Management, University of Oulu, P.O. Box 4610, FI-90014, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019111237786
Language: English
Published: Inderscience, 2019
Publish Date: 2020-09-30
Description:

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.

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Series: International journal of global environmental issues
ISSN: 1466-6650
ISSN-E: 1741-5136
ISSN-L: 1466-6650
Volume: 18
Issue: 3
Pages: 187 - 208
DOI: 10.1504/IJGENVI.2019.102773
OADOI: https://oadoi.org/10.1504/IJGENVI.2019.102773
Type of Publication: A1 Journal article – refereed
Field of Science: 222 Other engineering and technologies
Subjects:
Copyright information: © 2019 Inderscience Enterprises Ltd.