Kyvalya Garikapati , Sugyanta Priyadarshini , Nisrutha Dulla , Snigdharani Panda , Sumita Mishra , Jayalaxmi Samal
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Finally, 51 documents fulfilled the objective in identifying 9 Sukanya Samriddhi Yojana Implementation Barriers (SSYIBs). Secondly, ISM Identifies “Lack of communication” with Dependence Power (DP:1) and strong Driving Power (DRP:9) is identified as the major barrier among the 9 validated barriers in the context of rural India in implementing SSY scheme. MICMAC analysis identifies 5 barriers (Perceived cognizance, Societal Stigma, Cultural Inhibition, Lack of educational infrastructure, and Gender discrimination) as linkage variables under Quadrant 3 with strong DP (9) and DRP (5). Further, 4 barriers (Lack of awareness, Lack of knowledge, Lack of financial literacy) as independent variables under Quadrant 4 pursue weak DP (4) and strong DRP (8). This study can possibly be beneficial for academic researchers and policy makers by overcoming the gaps by assembling evidence from literature and integrating the findings for a clear understanding of the matter.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"21 ","pages":"Article 100618"},"PeriodicalIF":3.2000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategic decision-making model for addressing barriers in Sukanya Samriddhi Yojana inclusion: An ISM-MICMAC analytical framework\",\"authors\":\"Kyvalya Garikapati , Sugyanta Priyadarshini , Nisrutha Dulla , Snigdharani Panda , Sumita Mishra , Jayalaxmi Samal\",\"doi\":\"10.1016/j.rico.2025.100618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The study aims to provide an insight into the performance of Sukanya Samriddhi Yojana (SSY). The primary objective of the study is to identify and understand the frequent barriers obstructing implementation of SSY scheme in rural areas and to determine the interrelationships between these barriers. The analysis made use of Interpretive Structural Modelling (ISM) approach and MICMAC analysis through a combination of expert opinion on validation of barriers. First, the study has identified 225 published documents retrieved from google scholar (n=222), Scopus (n=2) and Web of Science (n=1) data base for reviewing the literature and identifying barriers. Finally, 51 documents fulfilled the objective in identifying 9 Sukanya Samriddhi Yojana Implementation Barriers (SSYIBs). Secondly, ISM Identifies “Lack of communication” with Dependence Power (DP:1) and strong Driving Power (DRP:9) is identified as the major barrier among the 9 validated barriers in the context of rural India in implementing SSY scheme. MICMAC analysis identifies 5 barriers (Perceived cognizance, Societal Stigma, Cultural Inhibition, Lack of educational infrastructure, and Gender discrimination) as linkage variables under Quadrant 3 with strong DP (9) and DRP (5). Further, 4 barriers (Lack of awareness, Lack of knowledge, Lack of financial literacy) as independent variables under Quadrant 4 pursue weak DP (4) and strong DRP (8). 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引用次数: 0
摘要
这项研究的目的是提供一个洞察Sukanya Samriddhi Yojana (SSY)的表现。这项研究的主要目标是确定和了解阻碍在农村地区实施可持续发展计划的常见障碍,并确定这些障碍之间的相互关系。分析利用解释结构建模(ISM)方法和MICMAC分析,结合专家意见对障碍的验证。首先,从谷歌scholar (n=222)、Scopus (n=2)和Web of Science (n=1)数据库中检索225篇已发表的文献,进行文献综述和障碍识别。最后,51份文件实现了确定9个“苏坎亚Samriddhi Yojana”实施障碍(ssyib)的目标。其次,ISM认为“缺乏沟通”与依赖力(DP:1)和强驱动力(DRP:9)是印度农村实施SSY计划的9个有效障碍中的主要障碍。MICMAC分析确定了5个障碍(感知认知、社会污名、文化抑制、缺乏教育基础设施和性别歧视)作为象限3下具有强DP(9)和DRP(5)的联动变量。此外,作为自变量的4个障碍(缺乏意识、缺乏知识、缺乏金融素养)在象限4下追求弱DP(4)和强DRP(8)。本研究可以通过收集文献证据和整合研究结果来克服差距,从而清晰地了解问题,从而可能对学术研究人员和政策制定者有益。
Strategic decision-making model for addressing barriers in Sukanya Samriddhi Yojana inclusion: An ISM-MICMAC analytical framework
The study aims to provide an insight into the performance of Sukanya Samriddhi Yojana (SSY). The primary objective of the study is to identify and understand the frequent barriers obstructing implementation of SSY scheme in rural areas and to determine the interrelationships between these barriers. The analysis made use of Interpretive Structural Modelling (ISM) approach and MICMAC analysis through a combination of expert opinion on validation of barriers. First, the study has identified 225 published documents retrieved from google scholar (n=222), Scopus (n=2) and Web of Science (n=1) data base for reviewing the literature and identifying barriers. Finally, 51 documents fulfilled the objective in identifying 9 Sukanya Samriddhi Yojana Implementation Barriers (SSYIBs). Secondly, ISM Identifies “Lack of communication” with Dependence Power (DP:1) and strong Driving Power (DRP:9) is identified as the major barrier among the 9 validated barriers in the context of rural India in implementing SSY scheme. MICMAC analysis identifies 5 barriers (Perceived cognizance, Societal Stigma, Cultural Inhibition, Lack of educational infrastructure, and Gender discrimination) as linkage variables under Quadrant 3 with strong DP (9) and DRP (5). Further, 4 barriers (Lack of awareness, Lack of knowledge, Lack of financial literacy) as independent variables under Quadrant 4 pursue weak DP (4) and strong DRP (8). This study can possibly be beneficial for academic researchers and policy makers by overcoming the gaps by assembling evidence from literature and integrating the findings for a clear understanding of the matter.