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Knowledge management (KM) and the de...

Power, Barbara.

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Knowledge management (KM) and the demographic cliff: A qualitative analysis of knowledge management as Baby Boomers exit the workforce.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Knowledge management (KM) and the demographic cliff: A qualitative analysis of knowledge management as Baby Boomers exit the workforce./
Author:	Power, Barbara.
Description:	195 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-03(E), Section: A.
Contained By:	Dissertation Abstracts International76-03A(E).
Subject:	Business Administration, Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3645268
ISBN:	9781321340310

Knowledge management (KM) and the demographic cliff: A qualitative analysis of knowledge management as Baby Boomers exit the workforce.
Power, Barbara.

Knowledge management (KM) and the demographic cliff: A qualitative analysis of knowledge management as Baby Boomers exit the workforce. - 195 p.

Source: Dissertation Abstracts International, Volume: 76-03(E), Section: A.

Thesis (D.M.)--Colorado Technical University, 2014.

This dissertation reviews the similarities and differences between the generations and the impact that economic, demographic, and social trends continue to have on the different birth cohorts in an effort to understand how knowledge gaps occur in today`s multigenerational workforce. The largest generation recorded to date in the United States is beginning to reach retirement age. Each day thousands of baby boomers begin either retiring from the workforce or making preparations to retire. This research determines how well organizations are prepared for this generational transition. It also examines how to improve knowledge sharing before this generation exits the workforce and the critical knowledge they hold is lost. The research design and methodologies help identify commonalities between the different generations and determine which of the known knowledge barriers consistently inhibit knowledge sharing in a multi-generational workforce.

ISBN: 9781321340310Subjects--Topical Terms:

626628
Business Administration, Management.

Knowledge management (KM) and the demographic cliff: A qualitative analysis of knowledge management as Baby Boomers exit the workforce.
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245 1 0 $a Knowledge management (KM) and the demographic cliff: A qualitative analysis of knowledge management as Baby Boomers exit the workforce.
300 $a 195 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-03(E), Section: A.
500 $a Adviser: Ron Fisher.
502 $a Thesis (D.M.)--Colorado Technical University, 2014.
520 $a This dissertation reviews the similarities and differences between the generations and the impact that economic, demographic, and social trends continue to have on the different birth cohorts in an effort to understand how knowledge gaps occur in today`s multigenerational workforce. The largest generation recorded to date in the United States is beginning to reach retirement age. Each day thousands of baby boomers begin either retiring from the workforce or making preparations to retire. This research determines how well organizations are prepared for this generational transition. It also examines how to improve knowledge sharing before this generation exits the workforce and the critical knowledge they hold is lost. The research design and methodologies help identify commonalities between the different generations and determine which of the known knowledge barriers consistently inhibit knowledge sharing in a multi-generational workforce.
520 $a Keywords: Baby Boomers, Behavior, Boomers, Brain drain, Characteristics, Culture, Demographics, Economics, Generational Differences, Generational Theory, Generation X, Generation Y, Generation Z, Human Behavior, Human Resources, Management, Millennial's, Silent Generation, Social Trends, Societal Behavior, Traditionalists..
590 $a School code: 1271.
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650 4 $a Sociology, Demography. $3 1020257
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710 2 $a Colorado Technical University. $b Management. $3 3168294
773 0 $t Dissertation Abstracts International $g 76-03A(E).
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792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3645268