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Organizational Resilience to Workpla...

DeFraia, Gary S.

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Organizational Resilience to Workplace Trauma Predicting Post-Incident Workgroup Outcomes through Clinical Data Mining.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Organizational Resilience to Workplace Trauma Predicting Post-Incident Workgroup Outcomes through Clinical Data Mining./
作者:	DeFraia, Gary S.
面頁冊數:	297 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-05, Section: A, page: 1779.
Contained By:	Dissertation Abstracts International72-05A.
標題:	Social Work. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3443930
ISBN:	9781124505824

Organizational Resilience to Workplace Trauma Predicting Post-Incident Workgroup Outcomes through Clinical Data Mining.
DeFraia, Gary S.

Organizational Resilience to Workplace Trauma Predicting Post-Incident Workgroup Outcomes through Clinical Data Mining. - 297 p.

Source: Dissertation Abstracts International, Volume: 72-05, Section: A, page: 1779.

Thesis (Ph.D.)--City University of New York, 2011.

Traumatic workplace incidents (critical incidents) occur with unfortunate regularity and with significant repercussions for affected organizations. Critical incident stress management (CISM) is the process organizations utilize to respond to traumatic incidents. CISM includes services provided before, during and after the occurrence of an incident. CISM service units, often a specialty service of employee assistance programs (EAPs), deploy workplace trauma professionals to support organizations post incident. While CISM seeks to support both employee and organizational recovery, trauma research oriented towards individual recovery and resilience dominates the literature. This research contributes to less-prevalent studies that explore how incident characteristics and organizational variables influence organizational level outcomes. By emphasizing the contextual versus the psychological, this research aligns with psychosocial and ecological theories and practice. Contextual factors are particularly relevant for organizational recovery and may even be as important for individual recovery as individual differences and various treatments. This research addresses two important gaps in the literature. Despite the fact that social workers represent the leading discipline delivering CISM service, the social work profession has published little research on CISM programs. Second, while CISM units nationwide collect massive amounts of data on workplace trauma, there are no published, practice-based, studies capitalizing on the potential discoveries within existing CISM data. Employing the methodology of clinical data mining, this exploratory research examines the proposition that knowledge of a pre-incident factor (prior workgroup trauma), incident characteristics (incident type, industry type, incident severity) and service delivery variables (types of services delivered) predict for organizational resilience. Organizational resilience is explored by examining outcomes in the areas of post-incident performance restoration, employee retention and attendance, the helpfulness of services for employees and management and perception of adequacy of organizational response. Multivariate analysis conducted for performance restoration indicates that positive predictors include certain industry types and a single incident type - criminal acts. Prior workgroup trauma and higher incident severity scores were negative predictors for performance. Multivariate analysis for perceived adequacy of organizational response indicates that positive predictors include certain incident types and implementation of on-site services. Prior workgroup trauma was a negative predictor for adequacy of organizational response.

ISBN: 9781124505824Subjects--Topical Terms:

617587
Social Work.

Organizational Resilience to Workplace Trauma Predicting Post-Incident Workgroup Outcomes through Clinical Data Mining.
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