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

被引:0
|
作者
Rave, Jorge Ivan Perez [1 ]
Jaramillo, Carlos Mario Zapata [2 ]
Alvarez, Gloria Patricia Jaramillo [2 ]
机构
[1] DINNOV Res Grp, IDINNOV SAS, Medellin, Colombia
[2] Univ Nacl Colombia, Dept Comp & Decis Sci, Medellin, Colombia
关键词
Healthcare analytics; healthcare management analytics; mental health; scientific discourse; text analytics; taxonomy; COVID-19; management analytics; SPECIAL-ISSUE; WORKPLACE; WORK; INTERVENTIONS; MANAGEMENT; KNOWLEDGE; SYSTEM;
D O I
10.1080/23270012.2023.2301709
中图分类号
F [经济];
学科分类号
02 ;
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.
引用
收藏
页码:62 / 86
页数:25
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