東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Employee Determinants to Share Knowl...

White, Kenneth C.

FindBook

Google Book

Amazon

博客來

Employee Determinants to Share Knowledge in a U.S. Federal Government Environment.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Employee Determinants to Share Knowledge in a U.S. Federal Government Environment./
作者:	White, Kenneth C.
面頁冊數:	139 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-07(E), Section: A.
Contained By:	Dissertation Abstracts International74-07A(E).
標題:	Information Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3556146
ISBN:	9781267978875

Employee Determinants to Share Knowledge in a U.S. Federal Government Environment.
White, Kenneth C.

Employee Determinants to Share Knowledge in a U.S. Federal Government Environment. - 139 p.

Source: Dissertation Abstracts International, Volume: 74-07(E), Section: A.

Thesis (Ph.D.)--Nova Southeastern University, 2013.

Although the literature indicates that knowledge sharing (KS) research is prevalent in the private sector, there is scant empirical research data about KS in the public sector. Moreover, organizations lack an understanding of employee KS behavior. This study investigated two research questions: First, how does the perceived importance of five determinants of KS behavior (organizational culture, workplace trust, incentives, management support, and technology) vary based upon the variables of job function, gender, and work category? Second, what is the relative importance of the five determinants of KS behavior to U.S. federal government employees? This descriptive study employed a Web-based survey methodology and interviews to collect data. The survey was administered to 121 employees in a single U.S. government organization, with a response rate of 69%. The Statistical Package for the Social Sciences was used for data analysis, and the multivariate analysis of variance and analysis of variance statistical techniques were used to compare variables. The study findings indicated no statistical differences in perceptions of the five facets investigated relative to the variables of work category, gender, and job function, and no statistical differences in the importance among the five determinates investigated. As a result, the null hypotheses were not rejected. Additional findings were that respondents perceived the five facets investigated to be positive KS determinants and that they agreed or strongly agreed that each facet was important to the success of KS initiatives. Although the results indicated no statistically significant difference between the five facets investigated, the results support literature findings that the five facets are important to the KS process. The investigation also advances the current state of KS implementation in the public sector by providing empirical data on a subject that is rarely investigated in the U.S. federal government. Future studies in similar and larger organizations are recommended. The investigation is a positive step toward improving the understanding of the determinants that affect employee KS behavior and provides a tool for KS planners to use to ascertain the state of KS in their organizations.

ISBN: 9781267978875Subjects--Topical Terms:

1017528
Information Science.

Employee Determinants to Share Knowledge in a U.S. Federal Government Environment.
LDR:03181nam 2200289 4500 001 1958187
005 20140319103447.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781267978875
035 $a (MiAaPQ)AAI3556146
035 $a AAI3556146
040 $a MiAaPQ $c MiAaPQ
100 1 $a White, Kenneth C. $3 2093199
245 1 0 $a Employee Determinants to Share Knowledge in a U.S. Federal Government Environment.
300 $a 139 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-07(E), Section: A.
500 $a Adviser: Steven Zink.
502 $a Thesis (Ph.D.)--Nova Southeastern University, 2013.
520 $a Although the literature indicates that knowledge sharing (KS) research is prevalent in the private sector, there is scant empirical research data about KS in the public sector. Moreover, organizations lack an understanding of employee KS behavior. This study investigated two research questions: First, how does the perceived importance of five determinants of KS behavior (organizational culture, workplace trust, incentives, management support, and technology) vary based upon the variables of job function, gender, and work category? Second, what is the relative importance of the five determinants of KS behavior to U.S. federal government employees? This descriptive study employed a Web-based survey methodology and interviews to collect data. The survey was administered to 121 employees in a single U.S. government organization, with a response rate of 69%. The Statistical Package for the Social Sciences was used for data analysis, and the multivariate analysis of variance and analysis of variance statistical techniques were used to compare variables. The study findings indicated no statistical differences in perceptions of the five facets investigated relative to the variables of work category, gender, and job function, and no statistical differences in the importance among the five determinates investigated. As a result, the null hypotheses were not rejected. Additional findings were that respondents perceived the five facets investigated to be positive KS determinants and that they agreed or strongly agreed that each facet was important to the success of KS initiatives. Although the results indicated no statistically significant difference between the five facets investigated, the results support literature findings that the five facets are important to the KS process. The investigation also advances the current state of KS implementation in the public sector by providing empirical data on a subject that is rarely investigated in the U.S. federal government. Future studies in similar and larger organizations are recommended. The investigation is a positive step toward improving the understanding of the determinants that affect employee KS behavior and provides a tool for KS planners to use to ascertain the state of KS in their organizations.
590 $a School code: 1191.
650 4 $a Information Science. $3 1017528
650 4 $a Sociology, Organizational. $3 1018023
650 4 $a Political Science, Public Administration. $3 1017438
690 $a 0723
690 $a 0703
690 $a 0617
710 2 $a Nova Southeastern University. $b Information Science (DISC). $3 1065167
773 0 $t Dissertation Abstracts International $g 74-07A(E).
790 $a 1191
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3556146