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Knowledge sharing in a data warehous...

Nemani, Rao R.

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Knowledge sharing in a data warehousing project: What, when, and how.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Knowledge sharing in a data warehousing project: What, when, and how./
Author:	Nemani, Rao R.
Description:	144 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: 6410.
Contained By:	Dissertation Abstracts International71-10B.
Subject:	Information Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3419898
ISBN:	9781124202839

Knowledge sharing in a data warehousing project: What, when, and how.
Nemani, Rao R.

Knowledge sharing in a data warehousing project: What, when, and how. - 144 p.

Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: 6410.

Thesis (Ph.D.)--Capella University, 2010.

The knowledge sharing in a data warehouse (DW) project is important for managing knowledge for any organization and is critical for its survival. The purpose of this study was to examine the practices of knowledge sharing in terms of what, when, and how knowledge is shared in a DW project. The problem is the gap that exists between the theory and practice of knowledge sharing using Nonaka's (SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation, 2000) unified model of Socialization, Externalization, Combination, and Internalization (SECI). The practices of knowledge sharing in a DW project through the dimensions of what, when, and how knowledge is shared was explored to determine whether there is a relationship between what and when knowledge is shared and how it is shared in a DW project. The study design was quantitative and uses a web-enabled survey to collect data from 110 DW professionals using a single stage, cross-sectional approach. The study involved the independent variables of what and when knowledge is shared and the dependent variable of how knowledge is shared in a DW project. The data was analyzed and hypothesis results show an association between what and when knowledge is shared to how knowledge is share in a DW project from the participant.s perspective as knowledge providers as well as knowledge receivers. It is expected that the research finding will provide DW managers with an insight into what, when, and how to best share knowledge for a successful DW projects.

ISBN: 9781124202839Subjects--Topical Terms:

1030799
Information Technology.

Knowledge sharing in a data warehousing project: What, when, and how.
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100 1 $a Nemani, Rao R. $3 1675504
245 1 0 $a Knowledge sharing in a data warehousing project: What, when, and how.
300 $a 144 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: 6410.
500 $a Adviser: Apiwan Born.
502 $a Thesis (Ph.D.)--Capella University, 2010.
520 $a The knowledge sharing in a data warehouse (DW) project is important for managing knowledge for any organization and is critical for its survival. The purpose of this study was to examine the practices of knowledge sharing in terms of what, when, and how knowledge is shared in a DW project. The problem is the gap that exists between the theory and practice of knowledge sharing using Nonaka's (SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation, 2000) unified model of Socialization, Externalization, Combination, and Internalization (SECI). The practices of knowledge sharing in a DW project through the dimensions of what, when, and how knowledge is shared was explored to determine whether there is a relationship between what and when knowledge is shared and how it is shared in a DW project. The study design was quantitative and uses a web-enabled survey to collect data from 110 DW professionals using a single stage, cross-sectional approach. The study involved the independent variables of what and when knowledge is shared and the dependent variable of how knowledge is shared in a DW project. The data was analyzed and hypothesis results show an association between what and when knowledge is shared to how knowledge is share in a DW project from the participant.s perspective as knowledge providers as well as knowledge receivers. It is expected that the research finding will provide DW managers with an insight into what, when, and how to best share knowledge for a successful DW projects.
590 $a School code: 1351.
650 4 $a Information Technology. $3 1030799
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710 2 $a Capella University. $b School of Business. $3 1018437
773 0 $t Dissertation Abstracts International $g 71-10B.
790 1 0 $a Born, Apiwan, $e advisor
790 1 0 $a Singh, Raj $e committee member
790 1 0 $a Balch, David $e committee member
790 $a 1351
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3419898