Profiling employee engagement dimensions and outcomes: a person-centered approach

Punam Singh, Lingam Sreehitha, Vimal Kumar, B. Rajak, Shulagna Sarkar
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Abstract

PurposeEmployee engagement (EE) continues to be one of the most difficult challenges for organizations today. Numerous factors have been linked to EE, according to studies. However, the necessary human resource management (HRM) strategies and systems for enhancing EE have not yet been developed. It is questionable if all employees inside the company require the same HRM strategies, to boost engagement as one size does not fit all. Therefore, it is necessary to create employee profiles based on factors associated with EE. This study aims to develop employee profiles based on engagement dimensions and outcomes. It seeks to comprehend the relationship between engagement level and factors such as age, years of service and employment grade.Design/methodology/approachUsing latent profile analysis (LPA), we identified five EE profiles (highly engaged, engaged, moderately engaged, disengaged and highly disengaged). These five profiles were characterized by five EE dimensions (Culture Dimensions, Leadership Dimensions, People Process, Business alignment Dimension and Job Dimension) and EE outcomes (Say, Stay and Strive).FindingsThe study revealed that Engaged profiles exhibited low stay outcomes. The highest percentage of disengaged employees fall under 25 years of age with less than 5 years of experience and are at the entry level.Research limitations/implicationsThe study highlights the significance of the people processes dimensions in enhancing engagement. Profiles with low people process dimensions showed high disengagement. Person-centered LPA adds and complements variable-centered approach to develop a better understanding of EE and help organizations devise more personalized strategies. The study would be of interest to both academics and practitioners.Originality/valueThe novelty of this study lies in its attempt to model the employee profiles to comprehend the relationship between engagement levels using LPA.
剖析员工敬业度的维度和结果:以人为本的方法
目的员工敬业度(EE)仍然是当今组织面临的最严峻挑战之一。研究表明,许多因素都与员工敬业度有关。然而,提高员工敬业度所需的人力资源管理(HRM)战略和系统尚未开发出来。公司内部的所有员工是否都需要同样的人力资源管理战略来提高参与度,这一点值得商榷,因为 "一刀切 "的做法并不适合所有人。因此,有必要根据与敬业度相关的因素建立员工档案。本研究旨在根据敬业度维度和结果建立员工档案。设计/方法/途径通过潜在特征分析(LPA),我们确定了五种员工敬业度特征(高度敬业、敬业、中度敬业、脱离敬业和高度脱离敬业)。这五种特征由五个 EE 维度(文化维度、领导力维度、人员流程、业务调整维度和工作维度)和 EE 结果(说、留和努力)来描述。研究的局限性/影响研究强调了人员流程维度在提高敬业度方面的重要性。人员流程维度较低的员工离职率较高。以人为中心的 LPA 是对以变量为中心的方法的补充和完善,有助于更好地了解 EE,帮助组织制定更加个性化的策略。这项研究对学术界和从业人员都很有意义。原创性/价值这项研究的新颖之处在于它尝试使用 LPA 建立员工档案模型,以理解敬业度之间的关系。
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