Enterprise framework for renewable energy

Seetharaman, A.; Sandanaraj, Lourdu Leo; Moorthy, Krishna; Saravanan, A

doi:10.1016/j.rser.2015.10.127

Cited by 24 publications

(11 citation statements)

References 31 publications

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“…[111,117,118,135] Supply-Chain Operation Reference Model A process reference model that describes the business activities associated with satisfying a customer's demand; it is used to identify the links and logistics operations in all the stages of the supply chain of renewable energy management. [102] System Dynamics Simulation Analysis A methodology and mathematical modeling technique to frame, understand, and discuss complex issues and problems; it is used to demonstrate the rationale of green component procurement collaboration and how the collaborative system could reduce the risk in the supply line and eventually improve the supply chain performance.…”

Section: Sem-structural Equation Modelingmentioning

confidence: 99%

Sustainable Supply Chain and Innovation: A Review of the Recent Literature

2018

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Increasingly, the effects of supply chains on environmental issues have been a focal point in discussions involving stakeholders, authorities, and customers. The aim of this paper is to inspect how innovation and sustainability are integrated into the wider context of the supply chains. To this end, a systematic literature review was carried out with a particular focus on papers published in recent years (2015–2017) so as to continue from a previous review on the sustainable supply chain innovation topic covering the time span of 1996–2014. The descriptive aspects of the published papers are firstly examined, i.e., the year of publication, journal, research methodology, industry field and country of the study, followed by the thematic ones, i.e., key themes of the innovation process, the types of innovation found, their newness, dimensions, and main theories that emerged. The analysis shows an upward trend of literature in numerical terms and a wider spread of sustainable innovations. Additionally, the research highlights further areas of research that are deserving of attention. These areas include analyses of specific industrial sectors which have been less covered in the published literature; research activities in the less developed countries; more attention on the social dimension of sustainability; a more general contribution from some nations that turned out to be less productive or even inactive on the sustainable supply chain innovation topic. Finally, a framework is developed which could constitute the basis for further developments and research on this issue.

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Section: Sem-structural Equation Modelingmentioning

confidence: 99%

Sustainable Supply Chain and Innovation: A Review of the Recent Literature

2018

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“…Another approach is Participatory Technological Assessment (PTA) oriented to generate a feedback process between the technological and social criteria, as a way to predict social aspects during the technological development and increase social acceptance (Raven et al, 2009). In addition, some of the previous published papers used SEM methods to examine and analysis the data and testing the model hypotheses [173][174][175][176][177]. For example, Seetharaman, Sandanaraj [173] found that there is need to more focus on renewable energy market to achieve more competitive advantage, regarding to this problem.…”

Section: Breakdown Of Articles Based On Renewable and Sustainable Enementioning

confidence: 99%

“…In addition, some of the previous published papers used SEM methods to examine and analysis the data and testing the model hypotheses [173][174][175][176][177]. For example, Seetharaman, Sandanaraj [173] found that there is need to more focus on renewable energy market to achieve more competitive advantage, regarding to this problem. This study investigated the relationship between internal and external forces on renewable energy business in 106 energy industries with several variables such as, environmental concerns, inadequate customer relationships, technology innovation deficiencies, unstructured business process, lack of societal awareness, performance instability, regulatory policy issues, complex operation, economically unsustainable, business and technology strategies unaligned and talent shortage.…”

Section: Breakdown Of Articles Based On Renewable and Sustainable Enementioning

confidence: 99%

Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis

et al. 2017

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Most methodological areas assume common serious reflections to certify difficult study and publication practices, and, therefore, approval in their area. Interestingly, relatively little attention has been paid to reviewing the application of Structural Equation Modeling (SEM) in environmental sustainability problems despite the growing number of publications in the past two decades. Therefore, the main objective of this study is to fill this gap by conducting a wide search in two main databases including Web of Science and Scopus to identify the studies which used SEM techniques in the period from 2005 to 2016. A critical analysis of these articles addresses some important key issues. On the basis of our results, we present comprehensive guidelines to help researchers avoid general pitfalls in using SEM. The results of this review are important and will help researchers to better develop research models based on SEM in the area of environmental sustainability.

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“…Furthermore, in order to meet the actual needs of management and control within new energy power generation groups, the sub-criteria affiliated with above four aspects are determined by an expert group composed of 36 executives and functional departments managers of the parent companies from four new energy power generation groups, according to the following process: First, all experts review the academic literature related to the comprehensive benefit of new energy or new energy power generation including economy, technology, talent and operation [19][20][21][22][23][38][39][40][41][42] that is selected and provided by our research group, the first half of which is the most recent studies while the other half is the most cited studies with each of them being cited for more than 100 times; then an initial indicator system is built. Second, questionnaires are designed to seek the opinions of each expert repeatedly based on the Delphi method [29].…”

Section: Comprehensive Benefit Evaluation Indicator System Of Group-amentioning

confidence: 99%

Evaluating the Comprehensive Benefit of Group-Affiliated New Energy Power Generation Enterprises for Sustainability: Based on a Combined Technique of STBI and TOPSIS

Yang

Liu

2017

Sustainability

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Abstract:As an efficient way to deal with the exhaustion of traditional fossil fuels, new energy power generation has obtained much attention from the Chinese Government. In this context, more and more new energy power generation groups that consist of large numbers of regional enterprises have been founded and developed rapidly. However, researches related to comprehensive benefit evaluation of group-affiliated new energy power generation enterprises is still blank in China, which will hinder the benefit growth and sustainable development of such enterprises. A novel hybrid evaluation indicator system is proposed from both perspectives of sustainability and the internal management within the groups. Considering the preference information given on each of the indicators is featured by multi-source and multi-form, an evaluation framework to integrate the blended and complex evaluation information is designed. In addition, different from previous studies, this paper employs a combined technique of Stochastic Transformation for Blended Information (STBI) method and the Technique for Order Preference by Similar to Ideal Solution (TOPSIS) to simulate the evaluation process and rank the comprehensive benefit of evaluation objects. It can efficiently handle the comprehensive evaluation problems with blended and complex evaluation information and preserve the initial evaluation information to the utmost simultaneously. Finally, this paper applied the evaluation model to empirical research and the results show that the model meets the actual situation of the new energy power generation group and can provide a certain reference value.

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Enterprise framework for renewable energy

Cited by 24 publications

References 31 publications

Sustainable Supply Chain and Innovation: A Review of the Recent Literature

Sustainable Supply Chain and Innovation: A Review of the Recent Literature

Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis

Evaluating the Comprehensive Benefit of Group-Affiliated New Energy Power Generation Enterprises for Sustainability: Based on a Combined Technique of STBI and TOPSIS

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