人力资源分析和人员流失对组织绩效的作用:利用SCM-TBFO框架的文献综述

IF 4.5 Q1 MANAGEMENT Benchmarking-An International Journal Pub Date : 2023-09-04 DOI:10.1108/bij-06-2023-0412
P. R. Kiran, A. Chaubey, Rajesh Kumar Shastri
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引用次数: 0

摘要

本研究论文旨在分析关于推进人力资源分析作为对人员流失的干预的学术文献,这是一个困扰组织绩效的问题。本研究旨在提供深入的文献综述,并批判性地评估组织绩效中人力资源分析和人员流失的知识差距。本综述分析了2011年至2023年间发表在表面上的期刊上的196篇研究论文的语料库。为了确定研究差距并提供有价值的见解,本研究使用思想学派(S)、背景(C)、方法(M)、触发因素(T)、障碍(B)、促进因素(F)和结果(O) (SCM-TBFO框架)综合了相关研究。本研究采用R编程语言,按照“系统评价和荟萃分析的首选报告项目”(PRISMA)指南进行系统文献综述。新兴的人力资源分析学科包含了管理人员流失和有效推动组织绩效提升的潜力。对SCM-TBFO的研究包含了一种多维的方法,结合了不同的观点,并分析了与各种方法相比其复杂的方面。该学派包括人力资本理论、期望理论和资源基础理论。不同的研究背景包括美国、英国、中国、法国、意大利和印度。此外,研究中采用的方法是人工神经网络(ANN),回归,结构方程模型(SEM)案例研究和其他理论研究。人力资源分析和人员流失触发器是数据挖掘决策系统,预测公司绩效和员工满意度。这些障碍包括领导风格、文化适应性和缺乏分析技能、数据安全和组织导向。这些促进因素被分为与数据和技术有关的促进因素、人力资源政策和与组织发展和绩效有关的促进因素。该研究的主要结果是技术采用、有效的人力资源政策、人力资源战略、员工满意度、职业和组织扩张和成长。原创性/价值文献综述的主要目标是全面概述人力资源分析的现状及其对组织绩效的影响,特别是与人员流失有关的影响。此外,该研究表明,通过战略性地利用人力资源分析和授权数据驱动的干预措施,可以有效地管理人员流失,这是一个关键的组织问题,可以优化绩效并提高整体组织成果。
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Role of HR analytics and attrition on organisational performance: a literature review leveraging the SCM-TBFO framework
PurposeThe research paper aims to analyse the scholarly literature on advancing HR analytics as an intervention for attrition, a problem that lingers on organisational performance. This study aspires to provide an in-depth literature review and critically assess the knowledge gaps in HR analytics and attritions within organisational performance.Design/methodology/approachThe review analyses the corpus of 196 research articles published in ostensible journals between 2011 and 2023. To identify research gaps and provide valuable insights, this study synthesises relevant studies using School of thought (S), Context (C), Methodology (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) (SCM-TBFO framework). This study employs the R programming language to conduct a systematic literature review in accordance with the “preferred reporting items for systematic reviews and meta-analysis” (PRISMA) guidelines.FindingsThe emerging discipline of HR analytics encompasses the potential to manage attrition and drive organisational performance enhancements effectively. The study of SCM-TBFO encompasses a multidimensional approach, incorporating diverse perspectives and analysing its complex aspects compared to various approaches. The School of thought includes the human capital theory, expectancy theory and resource-based view. The varied research contexts entail the USA, United Kingdom, China, France, Italy and India. Further, the methodologies adopted in the studies are artificial neural networking (ANN), regression, structure equation modelling (SEM) case studies and other theoretical studies. HR analytics and attrition triggers are data mining decision systems, forecasting for firm performance and employee satisfaction. The barriers include leadership styles, cultural adaptability and lack of analytic skills, data security and organisational orientation. The facilitators were categorised into data and technology-related facilitators, human resource policies and organisational growth and performance-related facilitators. The study's primary outcomes are technology adoption, effective HR policies, HR strategies, employee satisfaction, career and organisational expansion and growth.Originality/valueThe primary goal of the literature review is to provide a comprehensive overview of the current state of HR analytics and its impact on organisational performance, particularly in relation to attrition. Further, the study suggests that attrition, a critical organisational concern, can be effectively managed by strategically utilising HR analytics and empowering data-driven interventions that optimise performance and enhance overall organisational outcomes.
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来源期刊
CiteScore
10.40
自引率
16.10%
发文量
154
期刊介绍: Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.
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