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
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Publish Date: | 2020-09-30 |
Description: |
AbstractBig-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. see all
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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. |