Emerging HR analytics role in a crisis: an analysis of LinkedIn data

IF 2.9 Q2 BUSINESS
Neerja Kashive, V. Khanna
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引用次数: 0

Abstract

Purpose This study aims to explore the emergence of the human resource (HR) analyst role. The job posts on LinkedIn display the industry demand and skills required by the organizations. This study identifies the different knowledge, skills and abilities (KSA) required for an HR analyst role in different stages of professional growth (i.e. entry-level, middle-senior level and top-level) across different industries/sectors as applicable to the crisis. Design/methodology/approach A total of 80 job posts were extracted from LinkedIn. Details such as industry, job levels, qualifications, job experience, job functions, job descriptions (JDs) and job skills (JS) were collected. Further, 30 videos were extracted from YouTube and converted into text. Text analysis was conducted using NVivo software to analyze JDs, JS and job functions. Using NVivo, word frequency, word cloud, word tree and treemap were created to visualize the data. Finally, ten in-depth interviews were conducted with senior HRA managers based in India to understand the essential competencies required for the HR analyst role and the strategies to develop them. Findings The findings indicate that not only technical skills are needed, but business and communication skills are particularly important for all job levels during a crisis. The JD word cloud showed words, such as data, business, support and management, and the word tree depicted HR data and change agents as important words with many related sentences as branches. General JS included analytical, communication, problem-solving and management. Technical JS were the most widely used and included structure query language, system applications & products in data processing, human capital management, TABLEAU, management information system and PYTHON. Strategies to develop these competencies included case studies, live projects, internships on HR analytics (HRAs) assignments and mentoring by senior HRA professionals. Research limitations/implications The sample used was small, as the study included 80 job posts available on LinkedIn restricted to India. The study was restricted to qualitative approach and text analytics was used. Survey methods and a quantitative approach can be used to collect data from HR recruiters, job holders and senior leaders to understand the role of HRAs in the job market and then these variables can be tested empirically. Originality/value Based on the McCartney et al.’s (2020) competency model for the HR Analyst role, this study has explored the KSA framework using data visualization techniques and used text analytics to analyze LinkedIn job posts for different levels, videos from YouTube and in-depth interviews. It also mapped the KSA for the HR analyst role to the various stages of crisis system management given by Mitroff (2005). The use of social media analytics, such as analyzing LinkedIn data and YouTube videos, are highlighted.
危机中的新兴人力资源分析角色:对LinkedIn数据的分析
目的本研究旨在探讨人力资源分析师角色的出现。LinkedIn上的招聘信息显示了行业需求和组织所需的技能。本研究确定了适用于危机的不同行业/部门在不同专业成长阶段(即入门级,中高级和顶级)人力资源分析师角色所需的不同知识,技能和能力(KSA)。设计/方法/方法从LinkedIn中提取了总共80个招聘职位。收集了行业、工作级别、资格、工作经验、工作职能、工作描述和工作技能等详细信息。此外,从YouTube上提取了30个视频并将其转换为文本。使用NVivo软件进行文本分析,分析JDs、JS和工作功能。使用NVivo软件,创建词频、词云、词树和树图,使数据可视化。最后,我们对印度的高级人力资源经理进行了10次深度访谈,以了解人力资源分析师角色所需的基本能力以及发展这些能力的策略。研究结果表明,在危机期间,不仅需要技术技能,而且商业和沟通技能对所有工作级别都特别重要。JD词云以数据、业务、支持、管理等词为重点,词树以多个相关句子为分支,将HR data和change agents描述为重要词。一般JS包括分析、沟通、解决问题和管理。技术JS应用最广泛,包括结构查询语言、数据处理、人力资本管理、TABLEAU、管理信息系统和PYTHON等系统应用及产品。培养这些能力的策略包括案例研究、现场项目、人力资源分析(HRAs)任务实习以及高级人力资源分析专业人员的指导。研究的局限性/影响使用的样本很小,因为研究包括了领英上仅限于印度的80个招聘职位。本研究仅限于定性方法,并使用了文本分析。调查方法和定量方法可以从人力资源招聘人员、工作人员和高级领导中收集数据,了解人力资源管理者在就业市场中的作用,然后对这些变量进行实证检验。原创性/价值基于McCartney等人(2020)的人力资源分析师角色胜任力模型,本研究使用数据可视化技术探索了KSA框架,并使用文本分析来分析LinkedIn不同级别的招聘信息、YouTube视频和深度访谈。它还将人力资源分析师角色的KSA映射到Mitroff(2005)给出的危机系统管理的各个阶段。强调了社交媒体分析的使用,例如分析LinkedIn数据和YouTube视频。
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来源期刊
CiteScore
6.60
自引率
17.20%
发文量
50
期刊介绍: The following list indicates the key issues in the Competitiveness Review. We invite papers on these and related topics. Special issues of the Review will collect papers on specific topics selected by the editors. Definition/conceptual framework of competitiveness Competitiveness diagnostics and rankings Competitiveness and economic outcomes Specific dimensions of competitiveness Competitiveness and endowments Competitiveness and economic development Location and business strategy International business and the role of MNCs Innovation and innovative capacity Clusters and cluster initiatives Institutions for competitiveness Public policy (e.g., innovation, cluster development, regional development) The Competitiveness Review aims to publish high quality papers directed at scholars, government institutions, businesses and practitioners. It appears in collaboration with key academic and professional groups in the field of competitiveness analysis and policy, including the Microeconomics of Competitiveness (MOC) network and The Competitiveness Institute (TCI) practitioner network for competitiveness, clusters and innovation.
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