基于质量功能部署方法确定改善马来西亚社会经济福祉行动的优先次序

Pit Yin Wong, O. Tan, C. Goh, C. Ong, Kim Yew Lim
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摘要

COVID-19 大流行对马来西亚的经济造成了严重影响,尤其是对最贫穷的 40% 人口(B40)而言。马来西亚政府为改善 B40 的社会经济福利(SEW)制定了多项改善计划。社会经济福利改善计划的成功与否取决于如何根据社会经济福利需求确定计划的优先次序。实证审查发现,社会经济福利改善优先次序的概念仍然模糊不清。目前还缺乏关于确定 SEW 改进行动的结构化方法和优先次序的研究。因此,本研究以质量功能展开(QFD)概念为基础,探讨如何通过新的社会经济福利行动展开(SEAD)框架来确定社会经济福利改善行动并确定其优先次序。根据 SEAD 框架,通过专家意见评估 (EOA) 和焦点小组讨论收集了 10 位社会经济专家的定性数据。专家们的反馈意见通过肯德尔等级分析和基础理论方法进行了分析。研究结果表明,除了政府因素(即政府针对 B40 的政策和战略)外,B40 个人(即 B40 个人的适应、吸收和转化能力)和行业(即针对 B40 的行业政策和计划)对改善社会经济发展也至关重要。这项研究为政策制定者提供了一个重要信息,即应将 SEW 改进工作的重点放在 SEW 生态系统中的所有利益相关者身上,包括 B40 个人和行业。本研究还通过引入 SEAD 框架作为 SEW 识别和优先排序的结构化方法,扩展了 SEW 改进框架的知识。关键词社会经济、福祉、优先化、质量功能部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prioritizing Actions for Improving the Social Economic Wellbeing in Malaysia Based on Quality Function Deployment Methods
The Malaysia economic had significantly impacted by the COVID-19 pandemic, especially for the poorest 40% of the population (B40). Numbers of improvement programs had been outlined by the Malaysia government to improve B40’s social economic wellbeing (SEW). The success of the SEW improvement program is rest on how the programs are prioritized based on SEW needs. Empirical review found that the concept of prioritization for SEW improvement remains ambiguous. There is lack of research on structured approach for the identification and prioritization of SEW improvement actions. Hence, based on the concept of Quality Function Deployment (QFD), this research explores how SEW improvements could be identified and prioritized via a new Social-economic wellbeing Actions Deployment (SEAD) framework. Based on SEAD framework, qualitative data was collected through Expert Opinion Assessment (EOA) and Focus Group discussion among 10 social economic experts. Feedback from the experts was analyzed by Kendall Rank analysis and Grounded Theory approach. Finding from this research reveals that besides government factors (i.e. Government policy and strategy for B40), the roles played by B40 individual (i.e. B40 individual adaptive, absorptive and transformation capability) and industry (i.e. Industry Policy and Program for B40) are also crucial for the improvement of SEW. This research delivers an important message for policy makers to place SEW improvement focus across all stakeholders within the SEW ecosystem, including B40 individual and industry. The research also extends the knowledge of SEW improvement framework by the introduction of SEAD framework as the structured approach for SEW identification and prioritization. Keywords: Social economic, Wellbeing, Prioritization, Quality function deployment.
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