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Knowledge style profiling: An explor...
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Polito, Vincent A., Jr.
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Knowledge style profiling: An exploration of cognitive, temperament, demographic and organizational characteristics among decision makers using advanced analytical technologies.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Knowledge style profiling: An exploration of cognitive, temperament, demographic and organizational characteristics among decision makers using advanced analytical technologies./
作者:
Polito, Vincent A., Jr.
面頁冊數:
149 p.
附註:
Source: Dissertation Abstracts International, Volume: 71-07, Section: A, page: 2545.
Contained By:
Dissertation Abstracts International71-07A.
標題:
Business Administration, Management. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3408000
ISBN:
9781124036526
Knowledge style profiling: An exploration of cognitive, temperament, demographic and organizational characteristics among decision makers using advanced analytical technologies.
Polito, Vincent A., Jr.
Knowledge style profiling: An exploration of cognitive, temperament, demographic and organizational characteristics among decision makers using advanced analytical technologies.
- 149 p.
Source: Dissertation Abstracts International, Volume: 71-07, Section: A, page: 2545.
Thesis (Ph.D.)--Capella University, 2010.
The objective of this research was to explore the possibilities of identifying knowledge style factors that could be used as central elements of a professional business analyst's (PBA) performance attributes at work for those decision makers that use advanced analytical technologies on decision making tasks. Indicators of knowledge style were sought on the basis of cognitive style and temperament, whether as individual or additive factors, along with specific demographic and organizational characteristics as potential influencers of these knowledge style types.
ISBN: 9781124036526Subjects--Topical Terms:
626628
Business Administration, Management.
Knowledge style profiling: An exploration of cognitive, temperament, demographic and organizational characteristics among decision makers using advanced analytical technologies.
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The objective of this research was to explore the possibilities of identifying knowledge style factors that could be used as central elements of a professional business analyst's (PBA) performance attributes at work for those decision makers that use advanced analytical technologies on decision making tasks. Indicators of knowledge style were sought on the basis of cognitive style and temperament, whether as individual or additive factors, along with specific demographic and organizational characteristics as potential influencers of these knowledge style types.
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The temperament types were based on those identified by Keirsey & Bates (1984) and Keirsey (1998), while cognitive style was based on the index developed by Allinson and Hayes (1996) using a modified scoring system as put forth by Hodgkinson and Sadler-Smith (2003a, 2003b). Other individual (demographic) and organizational factors were investigated separately to explore their potential influence toward any predispositions in effectively typing professional business analysts (PBAs) within this task environment.
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Insights into the feasibility of developing a combined profile of a PBA's cognitive style, temperament, demographic and organizational characteristics---a Knowledge Style Sorter (KSS)---through the initial identification of PBA "types" via a Knowledge Style Type identifier (KST) are offered. The study analyzed and reported on twenty independent variables through dependency-based, non parametric measures of associations via cluster analysis along with appropriate descriptive statistics.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3408000
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