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 

机构地区：[1]IDINNOV research group,IDINNOV S.A.S,Medellín,Colombia [2]Department of Computing and Decision Sciences,Universidad Nacional de Colombia,Medellín,Colombia

出　　处：《Journal of Management Analytics》2024年第1期62-86,共25页管理分析学报（英文）

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

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

关 键 词：Healthcare analytics healthcare management analytics mental health scientific discourse text analytics TAXONOMY COVID-19 management analytics 

分 类 号：F416[经济管理—产业经济]