International Journal of Business and Management Study
Author(s) : DIVJYOT SINGH TALWAR
The multi-criteria evaluation depicts or demonstrates the potential in reducing the environmental presence by using renewable resources which play a significant role in building a sustainable future by optimalisation of renewable resources through environmental & energy analysis. Purpose- The identification of energy resources and the utility factors involved in electricity generation through RES is a significant area of interest. This empirical study is based on the exploration and orientation of cost, availability, responsiveness and sustainability as the predictors of RES. Design/ Methodology/ Approach- This study primarily is based on a mix of qualitative and quantitative data sets with special reference to multi-criteria analysis and problem solving techniques. Thus, design of research belongs to primary study. Findings- A multi-criteria analysis is very important, useful and effective technique in business research dealing with numerous factors affecting the generation of electricity through RES and other sources of energy. The results of multi-criteria analysis show the significant correlation between critical factors and sources of energy in the domain of renewable. Practical Implications- The study would be useful for management practitioners and policy makers to understand the comprehensive view in the renewable sector as far as electricity and power is concerned. There is a significant difference and implications of present study adding value and knowledge in line of renewable resources and thus practical results are highly suitable in today's energy context and future depends on renewable energy technologies and energy management. Originality/Value- The present research paper provides the collection, classification and comprehensive criteria's responsible for renewable sector and sustainability, which may be helpful for future researchers when learning the existing research work in domain area of research w.r.t. renewable resources using multi-criteria analysis.