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How project teams conceive of and ma...

University of Southern California., Engineering Management.

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How project teams conceive of and manage pre-quantitative risk.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	How project teams conceive of and manage pre-quantitative risk./
作者:	Cooper, Lynne Pucilowski.
面頁冊數:	178 p.
附註:	Advisers: F. Stan Settles; Diane E. Bailey.
Contained By:	Dissertation Abstracts International69-09B.
標題:	Business Administration, Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3325198
ISBN:	9780549788232

How project teams conceive of and manage pre-quantitative risk.
Cooper, Lynne Pucilowski.

How project teams conceive of and manage pre-quantitative risk. - 178 p.

Advisers: F. Stan Settles; Diane E. Bailey.

Thesis (Ph.D.)--University of Southern California, 2008.

As projects move toward developing increasingly complex, technologically advanced works, project teams must deal with ever increasing levels of risk. The tools and techniques available to support addressing large-scale risk depend on teams being able to identify and quantify the many potential sources of risk relevant to a given project. Prior to quantification, however, risks must first gain the attention of the team.

ISBN: 9780549788232Subjects--Topical Terms:

626628
Business Administration, Management.

How project teams conceive of and manage pre-quantitative risk.
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100 1 $a Cooper, Lynne Pucilowski. $3 1028915
245 1 0 $a How project teams conceive of and manage pre-quantitative risk.
300 $a 178 p.
500 $a Advisers: F. Stan Settles; Diane E. Bailey.
500 $a Source: Dissertation Abstracts International, Volume: 69-09, Section: B, page: 5753.
502 $a Thesis (Ph.D.)--University of Southern California, 2008.
520 $a As projects move toward developing increasingly complex, technologically advanced works, project teams must deal with ever increasing levels of risk. The tools and techniques available to support addressing large-scale risk depend on teams being able to identify and quantify the many potential sources of risk relevant to a given project. Prior to quantification, however, risks must first gain the attention of the team.
520 $a The success or failure of quantitative approaches to risk management depends on project teams effectively addressing pre-quantitative risk. My research investigates how project teams think about risk, reach a team-level shared conceptualization of risk, and manage risk before it ever reaches the point of quantification. I conducted a qualitative, longitudinal field study of a high-risk project. The resulting descriptive, extreme case study shines light on the processes by which project teams conceive and manage risk.
520 $a My research makes three major contributions. First it describes how project team members think of risk before it can be quantified, thus filling a significant gap in the literature between the behavioral processes of perceiving and conceptualizing risk and the highly analytical processes of assessing risk. Second, it contributes to our understanding of team risk processes by identifying the natural, emergent behavior of the team as it progressed from individual perceptions to a team conceptualization of risk and therefore fills an important gap by identifying a process by which teams conceptualize risk. Finally, it identifies how teams actually manage risk: by manipulating outcomes and uncertainty and by managing team discussion and work processes.
520 $a I set out to understand how team members bring their individual perceptions of risk to a team and how a team forms a joint conception of risk; how a team handles risk in its pre-quantified form, and how risk progresses from pre-quantified, abstract representations to concrete representations that can be managed using existing techniques. Through answering the question, How do project teams conceive of and manage pre-quantitative risk? My research sheds light on the processes, behaviors, and factors that influence team actions relative to risk, and contributes to future research and practice.
590 $a School code: 0208.
650 4 $a Business Administration, Management. $3 626628
650 4 $a Engineering, System Science. $3 1018128
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710 2 $a University of Southern California. $b Engineering Management. $3 1028914
773 0 $t Dissertation Abstracts International $g 69-09B.
790 $a 0208
790 1 0 $a Adler, Paul $e committee member
790 1 0 $a Bailey, Diane E., $e advisor
790 1 0 $a Nadler, Gerald $e committee member
790 1 0 $a Settles, F. Stan, $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3325198