Knowledge management has been extensively studied from the single organization (intra-organizational) perspective for many years. Although the literature on intra-organizational knowledge is extensive, there still exist gaps in the literature with regards to knowledge being shared by multiple organizations (inter-organizational knowledge). Inter-organizational knowledge satisfaction is gained when the organizations successfully embody the knowledge gained via the cooperation and crystallizes that knowledge within the organization. The problem addressed in this study is the lack of a model for predicting inter-organizational knowledge satisfaction utilizing task characteristics and the knowledge conversion process. The purpose of the study was to predict inter-organizational knowledge satisfaction for a contract company. The research question addressed how task characteristic and knowledge conversion can predict inter-organizational knowledge satisfaction. The theoretical frameworks include Nonaka's theory on organizational knowledge creation and Becerra-Fernandez and Sabherwal's theory for task characteristics. The study is a correlation research design using multiple linear regression as the data analysis method. An online questionnaire was administered to all executives, first- and mid-level managers, and professionals. The predictor variables task characteristic and knowledge conversion are used to predict inter-organizational knowledge satisfaction (IOKS). Predictor variables accounted for 35.3% of the variance in the IOKS score. This study contributes to social change by helping organizations gain a competitive advantage through developing and implementing both creative and timely knowledge management initiatives to gain inter-organizational knowledge satisfaction.
|Commitee:||Steeves, William D., Taylor, Reginald|
|Department:||Applied Management and Decision Sciences|
|School Location:||United States -- Minnesota|
|Source:||DAI-B 70/12, Dissertation Abstracts International|
|Subjects:||Management, Information Technology|
|Keywords:||Knowledge conversion, Knowledge management, Minority-owned business, Task characteristics|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be