Mental health in organizations from a healthcare analytics framework:taxonomic model,trends,and impact of COVID-19

作     者：Jorge Iván Pérez Rave Carlos Mario Zapata Jaramillo Gloria Patricia Jaramillo Álvarez 

作者机构：IDINNOV research groupIDINNOV S.A.SMedellínColombia Department of Computing and Decision SciencesUniversidad Nacional de ColombiaMedellínColombia 

出 版 物：《Journal of Management Analytics》 (管理分析学报（英文）)

年 卷 期：2024年第11卷第1期

页      面：62-86页

核心收录：

学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

基　　金：the Ministry of Science Technology and Innovation of Colombia(Minciencias) 

主　　题：Healthcare analytics healthcare management analytics mental health scientific discourse text analytics taxonomy COVID-19 management analytics 

摘      要：Mental disorders negatively affect employee well-being and organizational *** face a challenge in terms of how to manage mental *** paper clarifies three issues(underlying patterns,trends,and impact of COVID-19)regarding the scientific study of mental health in organizations from a healthcare analytics *** framework comprises eight stages considering a text-driven approach with scientific corpora assisted by linguistic/computational and statistical *** study discovers a new taxonomic model comprising five patterns in the scientific discourse on the *** analyses reveal imbalances and concerns regarding the interests associated with the patterns,which is reinforced by examining patterns“beforeand“during*** paper complements psychological/epidemiological studies on mental health in organizations from a healthcare analytics perspective.