Diplômé DBA - 2017
Titre de thèseThe Impact of Semantic Knowledge Management System on Firms' Innovation and Competitiveness
Firms need to deploy advanced technologies to manage their knowledge related activities efficiently and stay competitive. This thesis is set to investigate the relationship between semantic technologies based knowledge management system (Semantic KMS) on the effectiveness of firm’s knowledge management (KM), if Organizational KM has any positive impact on innovation and competitiveness, and if there exist a link between organizational innovation and competitiveness. It also verifies the association between KM and organizational competitiveness mediating through innovation. A total of 640 survey questionnaire were sent to the companies that practice KM actively. 178 usable responses were received. Pearson’s correlation, exploratory and confirmatory factor analysis and structural equation modeling were used to analyze the data. The result indicates that Semantic KMS is positively related to the Effectiveness of KM. Organizational KM is positively linked to Innovation and competitiveness directly. In the context of KM, Innovation's effect on competitiveness is not convincing. Moreover, KM does not have any relationship with organizational competitiveness mediated through Innovation. Being one of the first significant studies of Semantic KMS and its impact, the study adds to the growing literature on the use of Semantic Technologies in various fields. It develops a new theoretical model which has never been tested before. The study used data collected from single respondent of each firm in a snapshot and did not consider feedback effects. It examined Semantic KMS as a holistic system, but in many cases, companies only deploy certain KM related tools supported by Semantic Technologies. A different research approach could investigate the impacts of those tools on relevant business processes. This study demonstrates that deployment of Semantic Technologies is beneficial for companies and allows them to take advantage of the use of advanced technologies in their KM quest. It brings significant benefits to the firm thanks to improved capabilities of the new KMS in knowledge discovery, aggregation, use, and sharing. The study also confirms that for a successful KM initiative, KM processes need to be optimized and supported by KMS. Semantic technologies are a set of advanced tools used lately in many information systems. This study is one of the first in-depth research on their impacts on KMS. It will guide KM managers in the decision-making process when they consider developing or integrating new KMS tools. Keywords: semantic knowledge management system, semantic technologies, knowledge management, innovation, competitiveness.
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