An energy security strategic causality model using text mining for world region comparisons

This study is to build a causality model to implement energy security strategies (ESSs) in approaching a world-regions comparison. This study contributes to ESSs by indicating a set of valid attributes and those attributes are interrelationships in nature. There is major global interest in ESSs due...

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Main Authors: Tat-Dat Bui, Hien Minh Ha, Thi Phuong Thuy Tran, Ming K. Lim, Ming-Lang Tseng
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Energy Strategy Reviews
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211467X2400052X
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author Tat-Dat Bui
Hien Minh Ha
Thi Phuong Thuy Tran
Ming K. Lim
Ming-Lang Tseng
author_facet Tat-Dat Bui
Hien Minh Ha
Thi Phuong Thuy Tran
Ming K. Lim
Ming-Lang Tseng
author_sort Tat-Dat Bui
collection DOAJ
description This study is to build a causality model to implement energy security strategies (ESSs) in approaching a world-regions comparison. This study contributes to ESSs by indicating a set of valid attributes and those attributes are interrelationships in nature. There is major global interest in ESSs due to the pressure to ensure sustainable energy supply sources. An adequate energy source is decisive for ensuring stable economic growth, enhancing social development, and protecting the environment. Nonetheless, in reviewing the energy literature, generating strategic attributes is still lacking, which leads to difficulties for policymakers in building, executing, and assessing energy policies. This study utilizes a hybrid method: text mining, cluster analysis, fuzzy Delphi method, fuzzy decision-making trial and evaluation laboratory, and entropy weight method. As a result, five aspects and 22 criteria from the data pool are validated. The causal model shows that the energy control system, strategic collaboration and technological capability are the priority. In practice, the effect aspects are waste-to-energy and energy resilience. Although the research trends on ESSs in different regions are quite similar, each continent still has unique concerns such as European countries with distributed energy resources, Asia and Oceania with decarbonization, African countries with new technologies, and Americas with energy planning.
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spelling doaj.art-02e2052082dc4ba781d1e30ff05f814c2024-03-29T05:50:01ZengElsevierEnergy Strategy Reviews2211-467X2024-03-0152101345An energy security strategic causality model using text mining for world region comparisonsTat-Dat Bui0Hien Minh Ha1Thi Phuong Thuy Tran2Ming K. Lim3Ming-Lang Tseng4Department of Shipping and Transportation Management, National Taiwan Ocean University, TaiwanForeign Trade University, Ho Chi Minh City Campus, Viet NamForeign Trade University, Ho Chi Minh City Campus, Viet NamAdam Smith Business School, University of Glasgow, Glasgow, United Kingdom; UKM-Graduate School of Business, Universiti Kebangsaan Malaysia, 43000 Bangi, Selangor, MalaysiaInstitute of Innovation and Circular Economy, Asia University, Taichung, Taiwan; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan; UKM-Graduate School of Business, Universiti Kebangsaan Malaysia, 43000 Bangi, Selangor, Malaysia; Department of Industrial Engineering, Khon Kaen University, 40002, Thailand; Corresponding author. Institute of Innovation and Circular Economy, Asia University, Taichung, Taiwan.This study is to build a causality model to implement energy security strategies (ESSs) in approaching a world-regions comparison. This study contributes to ESSs by indicating a set of valid attributes and those attributes are interrelationships in nature. There is major global interest in ESSs due to the pressure to ensure sustainable energy supply sources. An adequate energy source is decisive for ensuring stable economic growth, enhancing social development, and protecting the environment. Nonetheless, in reviewing the energy literature, generating strategic attributes is still lacking, which leads to difficulties for policymakers in building, executing, and assessing energy policies. This study utilizes a hybrid method: text mining, cluster analysis, fuzzy Delphi method, fuzzy decision-making trial and evaluation laboratory, and entropy weight method. As a result, five aspects and 22 criteria from the data pool are validated. The causal model shows that the energy control system, strategic collaboration and technological capability are the priority. In practice, the effect aspects are waste-to-energy and energy resilience. Although the research trends on ESSs in different regions are quite similar, each continent still has unique concerns such as European countries with distributed energy resources, Asia and Oceania with decarbonization, African countries with new technologies, and Americas with energy planning.http://www.sciencedirect.com/science/article/pii/S2211467X2400052XEnergy security strategyEnergy control systemStrategic collaborationTechnological capabilityWaste-to-energyEnergy resilience
spellingShingle Tat-Dat Bui
Hien Minh Ha
Thi Phuong Thuy Tran
Ming K. Lim
Ming-Lang Tseng
An energy security strategic causality model using text mining for world region comparisons
Energy Strategy Reviews
Energy security strategy
Energy control system
Strategic collaboration
Technological capability
Waste-to-energy
Energy resilience
title An energy security strategic causality model using text mining for world region comparisons
title_full An energy security strategic causality model using text mining for world region comparisons
title_fullStr An energy security strategic causality model using text mining for world region comparisons
title_full_unstemmed An energy security strategic causality model using text mining for world region comparisons
title_short An energy security strategic causality model using text mining for world region comparisons
title_sort energy security strategic causality model using text mining for world region comparisons
topic Energy security strategy
Energy control system
Strategic collaboration
Technological capability
Waste-to-energy
Energy resilience
url http://www.sciencedirect.com/science/article/pii/S2211467X2400052X
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