ABSTRACT
This paper examines the impact of COVID-19 on the performance of select equity linked savings scheme (ELSS) funds in India for two different time periods namely June 2019 (before COVID-19) and June 2021 (after COVID-19) using risk, return and market perception based criteria. We use a hybrid multi-criteria decision-making (MCDM) framework of level based weight assessment (LBWA) and measurement of alternatives and ranking according to compromise solution (MARCOS). We test the group harmony using Kendall's concordance coefficient. We find that the result is validated and shows stability in the sensitivity analysis. To the best of our knowledge, the present work is the first of its kind that assesses the impact of COVID-19 on asset management companies (AMC) of ELSS funds from multiple perspectives. We observe that AMCs are unable to maintain their performance and ranks which suggests a highly competitive and fragmented nature of India's growing ELSS funds.
ABSTRACT
Level-based weight assessment (LBWA) model is a recently introduced algorithm for determining criteria weights for multi-criteria group decision making. In this paper, the authors aim to extend the basic framework of LBWA in the picture fuzzy (PF) environment using actual score (AS) measures of the picture fuzzy numbers (PFN). They apply this extended framework in addressing a real-life problem pertaining to social entrepreneurship or social entrepreneurs (SE) in the context of COVID-19. They endeavor to identify the critical challenging factors of SE in the new normal. They list the challenges as revealed through literature review and take the opinion of a group of SEs using PF linguistic scale. They then apply the proposed framework, actual score-based picture fuzzy LBWA. They notice that ability to withstand disruption risk and show resilience and fund availability and creation of a supporting business ecosystems are the major challenges that SEs face in the new normal. They carry out validity checking and sensitivity analysis, which show reasonable consistency and stability in the result.