Prioritizing critical success factors for sustainable energy sector in China: A DEMATEL approach

Zhao, Guohao; Ahmed, Rahil Irfan; Ahmad, Naveed; Yan, Cheng; Usmani, Muhammad Shahjahan

doi:10.1016/j.esr.2021.100635

Cited by 62 publications

(22 citation statements)

References 82 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is widely used to determine the strength of interdependence as well as contextual association among factors under study (Du & Li, 2021; Gardas et al, 2019; Lin et al, 2009). DEMATEL method helps decision and policymakers to analyze the interaction among factors by grouping factors into causal and effect groups which assists them to decide long‐term strategies to accomplish the decided goals (Gardas et al, 2018; Ortiz‐Barrios et al, 2020; Zhao et al, 2021).…”

Section: Methodology and Cause‐effect Model Developmentmentioning

confidence: 99%

Organizational hindrances to Healthcare 4.0 adoption: An multi‐criteria decision analysis framework

Gardas

2021

Multi Criteria Decision Anal

View full text Add to dashboard Cite

Due to the latest developments in the healthcare sector, the efficiency and effectiveness of healthcare services are being improved. This investigation aims to shortlist the organizational hindrances that influence the adoption of Healthcare 4.0 technologies and model the mutual relationship between them using the DEMATEL methodology. In addition, this study offers a cause‐effect relationship between the barriers and helps to identify the most important challenges to the adoption of Healthcare 4.0 technologies. By reviewing the literature and consulting experts in the case domain, 10 hindrances were identified. The findings of the study highlighted three causal factors namely ‘Lack of vision and commitment from the top management’, ‘Hierarchical structure’, and ‘Lack of skilled workforce’ as critical ones that have the significant causality intensity; whereas, ‘Lack of R&D facilities’ was found be the least significant barrier which belongs to the effect category. It may be noted that the causal factors need to be addressed by the top management of the healthcare organizations for the successful adoption of Health 4.0. Further, the elimination of the causal factors identified by this study would help in reducing the cost of the treatment and enhance the patients' experience. In addition, this research aims to guide managers/decision‐makers of healthcare organizations to deduce policies for the adoption of the latest technologies in the case sector.

show abstract

Section: Methodology and Cause‐effect Model Developmentmentioning

confidence: 99%

Organizational hindrances to Healthcare 4.0 adoption: An multi‐criteria decision analysis framework

Gardas

2021

Multi Criteria Decision Anal

View full text Add to dashboard Cite

show abstract

“…Further, studies focusing on a country or location-specific assessment were also found to utilize MCDA methodology. Some of the examples include sustainable energy consumption evaluation in Europe [38], sustainability assessment of alternatives for waste plastics in Norway [39], optimal location selection for solar energy plants in Indonesia [40], investigation of the potential of renewable energy sources for electricity generation in Serbia [41], and assessment of the success factors for the sustainable energy sector in China for prioritization [42].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Clean Energy Transition Potential in Major Power-Producing States of India Using Multi-Criteria Decision Analysis

Indrajayanthan¹,

Mohanty²

2022

Sustainability

View full text Add to dashboard Cite

India has an ambitious target to promote clean energy penetration, but as of 2021, the electricity mix of India is dominated by coal to about 71%. Therefore, analyzing the clean energy potential and the ability of the individual states to entrench energy transition in the upcoming years will be supportive for policymakers. This study is propounded to assess the clean energy transition potential with a focused analysis on seven major power-producing states of India. These states include Maharashtra, Gujarat, Tamil Nadu, Uttar Pradesh, Karnataka, Madhya Pradesh, and Andhra Pradesh. The clean energy transition potential assessment is performed by utilizing multi-criteria decision analysis methodologies such as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Objective Optimization Method by Ratio Analysis (MOORA). Further, the analysis is performed against four major criteria that include high carbon energy resource dependency, low carbon energy resource dependency, clean energy potential, and policy support. Altogether, the assessment criteria include four primary level criteria and fourteen secondary level parameters. In order to reflect the significance of each parameter and criterion to the characteristics of clean energy transition potential, appropriate weightage is provided using the Fuzzy Analytic Hierarchy Process (AHP). The results indicate that Gujarat has the highest clean energy transition potential in both the multi-criteria decision analysis methods. On the other hand, Uttar Pradesh exhibited the least performance, and a complete energy transition to clean energy resources is less likely in this state. The rest of the states obtained intermediate ranking, and a comparative analysis between the two methods was also accomplished. This study suggests that India should focus on the clean energy policy with vigorous efforts on top-performing states which will effectively accelerate the power sector decarbonization.

show abstract

“…The issue of being socially responsible is discussed within the research on the energy sector [14][15][16][17] as one of those sectors that have substantial economic, environmental, and social impacts [82][83][84]. Several categories of the rationale for considering CSR commitment in energy sector companies may be mentioned-first of all, those which emerge from global trends on climate change [13], as well national politics on the social and economic influence of organizations.…”

Section: The Rationale For Csr Concept In Energy Sector Companiesmentioning

confidence: 99%

“…The fourth rationale addresses societal aspects, with a view to the increasing societal expectations of what a company should be responsible for [13], therefore not considering the CSR aspects only from the point of view of particular stakeholders' goals, but the whole society as well [17]. However, de Vries et al [88] argue that in some cases, CSR activities may be perceived as a way to achieve financial goals instead of real care of the natural environment or the society.…”

Section: The Rationale For Csr Concept In Energy Sector Companiesmentioning

confidence: 99%

“…Although the operational risk related to energy production, the size of enterprises in the sector, as well as the level of impact on the economy and the environment are factors prompting the inclusion of CSR assumptions in the activities of energy companies [12][13][14][15][16][17], the current state of research on the determinants of CSR implementation should be assessed as unsatisfactory. However, the research on the involvement of energy sector companies in CSR activities emphasizes the role and significance of exogenous and endogenous factors and describes CSR practices [13,[18][19][20][21][22][23][24][25][26], but ignores the relationship between practices in CSR dimensions and the impact of these practices on digitalization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Relationships among Social, Environmental, Economic CSR Practices and Digitalization in Polish Energy Companies

et al. 2021

View full text Add to dashboard Cite

This paper explores relationships among CSR practices in the social, economic and environmental dimensions and digitization in the Polish energy companies. The study used the CATI method, and the data obtained from 110 companies was analyzed using a set of methods starting with correlation analysis, through regression analysis, including backward stepwise regression. Obtained results led to the formulation of SEM (Structural Equitation Modelling) model that has been tested. Results confirm the influence of social CSR practices on practices in economics and environmental CSR dimensions and on the level of digitalization. Research also suggests that there is essentially no significant impact of the size of the enterprise on the level of digitalization, as well as on any of the analyzed types of CSR practices.

show abstract

Prioritizing critical success factors for sustainable energy sector in China: A DEMATEL approach

Cited by 62 publications

References 82 publications

Organizational hindrances to Healthcare 4.0 adoption: An multi‐criteria decision analysis framework

Organizational hindrances to Healthcare 4.0 adoption: An multi‐criteria decision analysis framework

Assessment of Clean Energy Transition Potential in Major Power-Producing States of India Using Multi-Criteria Decision Analysis

The Relationships among Social, Environmental, Economic CSR Practices and Digitalization in Polish Energy Companies

Contact Info

Product

Resources

About